The default network and self-generated thought: component processes, dynamic control, and clinical relevance
Open accessAbstract
Though only a decade has elapsed since the default network (DN) was first defined as a large‐scale brain system, recent years have brought great insight into the network's adaptive functions. A growing theme highlights the DN as playing a key role in internally directed or self‐generated thought. Here, we synthesize recent findings from cognitive science, neuroscience, and clinical psychology to focus attention on two emerging topics as current and future directions surrounding the DN. First, we present evidence that self‐generated thought is a multifaceted construct whose component processes are supported by different subsystems within the network. Second, we highlight the dynamic nature of the DN, emphasizing its interaction with executive control systems when regulating aspects of internal thought. We conclude by discussing clinical implications of disruptions to the integrity of the network, and consider disorders when thought content becomes polarized or network interactions become disrupted or imbalanced.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 117 cited sources checked · 0 supported · 0 flagged
- Findingcitation
Adults spend between 30% and 50% of their waking day engaged in thoughts unrelated to ongoing activities.
“Experience-sampling studies estimate that adults spend between 30% and 50% of their waking day engaged in thoughts unrelated to ongoing activities,4,25–27”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [4] Killingsworth MA Gilbert DT A wandering mind is an unhappy mind Science 330 932 2010 21071660 source
Not checked in the free run.
- cites [25] Klinger E Cox W Dimensions of thought flow in everyday life Imagin Cogn Pers 7 105 128 1987 source
Not checked in the free run.
- cites [26] Kane MJ For whom the mind wanders, and when: an experience-sampling study of working memory and executive control in daily life Psychol Sci 18 614 621 2007 17614870 source
Not checked in the free run.
- cites [27] Song X Wang X Mind wandering in Chinese daily lives–an experience sampling study PloS One 7 e44423 2012 22957071 PMC3434139 source
Not checked in the free run.
- Findingcitation
The default network has an anticorrelated or antiphase relationship with the dorsal attention network.
“The DN has an anticorrelated or antiphase relationship with the dorsal attention network (DAN),14,139,140 a brain system consisting of the posterior prefrontal cortex, the inferior precentral sulcus, the superior occipital gyrus, the middle temporal motion complex, and the superior parietal lobule14,51,141 (Fig. 5A).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [14] Fox MD The human brain is intrinsically organized into dynamic, anticorrelated functional networks Proc Natl Acad Sci U S A 102 9673 9678 2005 15976020 PMC1157105 source
Not checked in the free run.
- cites [139] Keller CJ Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD Signal J Neurosci 33 6333 6342 2013 23575832 PMC3652257 source
Not checked in the free run.
- cites [140] Golland Y Golland P Bentin S Malach R Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems Neuropsychologia 46 540 53 2008 18037453 PMC4468071 source
Not checked in the free run.
- cites [51] Yeo BTT The organization of the human cerebral cortex estimated by intrinsic functional connectivity J Neurophysiol 106 1125 1265 2011 21653723 PMC3174820 source
Not checked in the free run.
- cites [141] Corbetta M Shulman GL Control of goal-directed and stimulus-driven attention in the brain Nat Rev Neurosci 3 201 215 2002 11994752 source
Not checked in the free run.
- Findingown data
NeuroSynth meta-analyses showed the medial temporal subsystem corresponded most strongly with past and future autobiographical thought, episodic memory, and contextual retrieval.
“The medial temporal subsystem corresponded most strongly with meta-analytic maps pertaining to past and future autobiographical thought (i.e., autobiographical, past, future), episodic memory (i.e., episodic, memories, remember, recollection, recall) and contextual retrieval (i.e., contextual, retrieval) (Fig. 4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65] Yarkoni T Poldrack RA Nichols TE Essen DCV Wager TD Large-scale automated synthesis of human functional neuroimaging data Nat Methods 8 665 670 2011 21706013 PMC3146590 source
Not checked in the free run.
- Findingcitation
Self-generated thoughts tend to have a prospective rather than retrospective temporal bias.
“Additionally, self-generated thoughts tend to have a temporal focus, being characterized more by a prospective than a retrospective bias.22,27,30,32,33,40”
Quote in the paperNot a substantial claim0 of 6 sources checked- cites [22] Andrews-Hanna JR Reidler JS Huang C Randy L Buckner RL Evidence for the default network’s role in spontaneous cognition J Neurophysiol 104 322 335 2010 20463201 PMC2904225 source
Not checked in the free run.
- cites [27] Song X Wang X Mind wandering in Chinese daily lives–an experience sampling study PloS One 7 e44423 2012 22957071 PMC3434139 source
Not checked in the free run.
- cites [30] Smallwood J Self-reflection and the temporal focus of the wandering mind Conscious Cogn 4 1120 1126 2011 21277803 source
Not checked in the free run.
- cites [32] Stawarczyk D Cassol H D’Argembeau A Phenomenology of future-oriented mind-wandering episodes Front Psychol 4 1 12 2013 23882236 PMC3712143 source
Not checked in the free run.
- cites [33] Baird B Smallwood J Schooler JW Back to the future: Autobiographical planning and the functionality of mind-wandering Conscious Cogn 20 1604 1611 2011 21917482 source
Not checked in the free run.
- cites [40] Smallwood J Nind L O’Connor RC When is your head at? An exploration of the factors associated with the temporal focus of the wandering mind Conscious Cogn 18 118 125 2009 19121953 source
Not checked in the free run.
- Findingcitation
Hierarchical clustering of resting-state and task fMRI data from default network regions identified two separable components, each highly correlated with a midline core.
“Initial evidence for subsystems within the DN was provided by Andrews-Hanna et al.,50 who used hierarchical clustering analyses to partition RSFC and task-related fMRI data from eleven left-lateralized and midline DN regions into two separable components, each of which were highly correlated with a midline core (Fig. 3A).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [50] Andrews-Hanna JR Reidler JS Sepulcre J Poulin R Buckner RL Functional-anatomic fractionation of the brain’s default network Neuron 65 550 562 2010 20188659 PMC2848443 source
Not checked in the free run.
- Findingcitation
A finer parcellation subdivided the default network into three bilateral subsystems similar to those identified by Andrews-Hanna and colleagues.
“This coarse analysis was followed by a finer parcellation subdividing the DN into three bilateral subsystems similar to those identified by Andrews-Hanna and colleagues (Fig. 3B).”
Quote in the paperNot a substantial claim - Interpretationreasoning
Acting in combination, these neural systems support much of the mental content underlying self-generated thought.
“We argue that acting in combination, these different neural systems support much of the mental content underlying self-generated thought.”
Quote in the paperSubstantial claim - Interpretationreasoning
The default network does not operate in isolation but interacts with other brain systems when maintaining or inhibiting an internal train of thought.
“we suggest that the DN does not operate in isolation, but rather interacts with other brain systems when maintaining or inhibiting an internal train of thought.”
Quote in the paperSubstantial claim - Interpretationcitation
Self-generated thoughts can be characterized along multiple interacting dimensions including personal significance, temporal orientation, valence, social orientation, specificity or detail, somatosensory awareness, and representational format.
“Collectively, these studies suggest that self-generated thoughts can be characterized according to multiple interacting dimensions, including their personal significance, temporal orientation, valence, social orientation, level of specificity/detail, somatosensory awareness, and representational format (inner speech versus visual imagery).12,23,24,31,32”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [12] Andrews-Hanna JR A penny for your thoughts: dimensions of self-generated thought content and relationships with individual differences in emotional wellbeing Frontiers in Psychology 4 1 13 2013 24376427 PMC3843223 source
Not checked in the free run.
- cites [23] Delamillieure P The resting state questionnaire: An introspective questionnaire for evaluation of inner experience during the conscious resting state Brain Res Bull 81 565 573 2010 20003916 source
Not checked in the free run.
- cites [24] Diaz BA The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition Front Hum Neurosci 7 1 15 2013 23964225 PMC3737475 source
Not checked in the free run.
- cites [31] Ruby F Smallwood J Engen Singer T How self-generated thought shapes mood PLoS ONE in press PMC3806791 24194889 source
Not checked in the free run.
- cites [32] Stawarczyk D Cassol H D’Argembeau A Phenomenology of future-oriented mind-wandering episodes Front Psychol 4 1 12 2013 23882236 PMC3712143 source
Not checked in the free run.
- Interpretationcitation
The default network is composed of distinct yet interacting subsystems.
“Here we examine the DN on a finer scale, discussing recent evidence from resting-state functional connectivity MRI (RSFC) and diffusion tensor imaging (DTI) that the DN is composed of distinct yet interacting subsystems.”
Quote in the paperSubstantial claim - Interpretationnone given
Self-generated thought is a multi-faceted construct whose component processes are supported by different subsystems within the default network.
“First, we present evidence that self-generated thought is a multi-faceted construct whose component processes are supported by different subsystems within the network.”
Quote in the paperNot a substantial claim - Interpretationcitation
The default network is active during both task-relevant and task-irrelevant examples of self-generated thought.
“The studies considered in this review, as well as several meta-analyses, demonstrate that the DN is active during both task-relevant and task-irrelevant examples of self-generated thought.”
Quote in the paperSubstantial claim - Interpretationnone given
The default network interacts dynamically with executive control systems when regulating aspects of internal thought.
“Second, we highlight the dynamic nature of the default network, emphasizing its interaction with executive control systems when regulating aspects of internal thought.”
Quote in the paperSubstantial claim - Premisecitation
The content regulation hypothesis proposes that variability in the ability to regulate self-generated thought content partly underlies its costs and benefits.
“These findings are consistent with the content regulation hypothesis, which proposes that variability in the ability to regulate the content of self-generated thought partly underlies its costs and benefits.10”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Smallwood J Andrews-Hanna J Not all minds that wander are lost: the importance of a balanced perspective on the mind-wandering state Front Psychol 4 1 6 2013 23966961 PMC3744871 source
Not checked in the free run.
- Interpretationreasoning
The functional and anatomical properties of the default network suggest it is a heterogeneous system with at least three separable components.
“In summary, the functional and anatomical properties of the DN suggest a heterogeneous brain system comprised of at least three separable components.”
Quote in the paperSubstantial claim - Interpretationreasoning
The default network is characterized by the type of self-generated mental content it supports, not by its opposition to a task.
“These findings demonstrate that the DN is characterized not by its opposition to a task but by the type of self-generated mental content it supports.”
Quote in the paperSubstantial claim - Interpretationcitation
Self-generated thought reduces sensory processing, a phenomenon called perceptual decoupling.
“Altogether these studies provide experiential evidence that the occurrence of self-generated thought reduces the processing of sensory information, a phenomenon which has been termed perceptual decoupling.1,2,154,155”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [1] Schooler JW Meta-awareness, perceptual decoupling and the wandering mind Trends Cogn Sci 15 319 326 2011 21684189
Not checked in the free run.
- cites [2] Smallwood J Distinguishing how from why the mind wanders: A process–occurrence framework for self-generated mental activity Psychol Bull 139 519 535 2013 23607430 source
Not checked in the free run.
- cites [154] Lenartowicz A Simpson GV Cohen MS Perspective: causes and functional significance of temporal variations in attention control Front Hum Neurosci 7 381 2013 23888135 PMC3719045 source
Not checked in the free run.
- cites [155] Smallwood J Brown K Baird B Schooler JW Cooperation between the default mode network and the frontal-parietal network in the production of an internal train of thought Brain Res 1428 60 70 2012 21466793 source
Not checked in the free run.
- Premisecitation
Tasks with a working-memory component reduce the occurrence of self-generated thought.
“studies routinely show that the occurrence of self-generated thought is reduced by tasks with a working-memory component.18,175”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [18] Mason MF Wandering minds: the default network and stimulus-independent thought Science 315 393 395 2007 17234951 PMC1821121 source
Not checked in the free run.
- cites [175] Teasdale JD Stimulus-independent thought depends on central executive resources Mem Cognit 23 551 559 1995 7476241 source
Not checked in the free run.
- Interpretationcitation
The frontoparietal control network and salience network may mediate internally and externally directed cognition by maintaining a dynamic balance between the default and attention networks.
“The FPCN (as well as the salience network; Box 3) may in turn, mediate internally and externally directed cognition by maintaining a dynamic balance between the default and attention networks.15,155,160,162,163”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [15] Spreng RN The fallacy of a ‘task-negative’ network Front Cogn 3 145 2012 PMC3349953 22593750
Not checked in the free run.
- cites [155] Smallwood J Brown K Baird B Schooler JW Cooperation between the default mode network and the frontal-parietal network in the production of an internal train of thought Brain Res 1428 60 70 2012 21466793 source
Not checked in the free run.
- cites [160] Vincent JL Kahn I Snyder AZ Raichle ME Buckner RL Evidence for a frontoparietal control system revealed by intrinsic functional connectivity J Neurophysiol 100 3328 3342 2008 18799601 PMC2604839 source
Not checked in the free run.
- cites [162] Spreng RN Stevens WD Chamberlain JP Gilmore AW Schacter DL Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition NeuroImage 53 303 317 2010 20600998 PMC2914129 source
Not checked in the free run.
- cites [163] Spreng RN Sepulcre J Turner GR Stevens WD Schacter DL Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain J Cogn Neurosci 25 74 86 2013 22905821 PMC3816715 source
Not checked in the free run.
- Interpretationreasoning
Large-scale interactions between the default network and frontoparietal control network reflect temporally extended evaluation of self-generated thoughts.
“All of these tasks depend on the maintenance or extended evaluation of internal information in the service of a goal, leading to the suggestion that these forms of large-scale interactions reflect temporally extended evaluation of self-generated thoughts.”
Quote in the paperSubstantial claim - Premisecitation
The right anterior insula is a critical node for suppressing default network activity and reallocating attentional resources to salient events.
“The right aINS has previously been identified as a critical node for suppressing DN activity and reallocating attentional resources to salient events.244,245”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [244] Menon V Uddin LQ Saliency, switching, attention and control: a network model of insula function Brain Struct Funct 214 655 667 2010 20512370 PMC2899886 source
Not checked in the free run.
- cites [245] Sridharan D Levitin DJ Menon V A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks Proc Natl Acad Sci U S A 105 12569 12574 2008 18723676 PMC2527952 source
Not checked in the free run.
- Premisecitation
Temporal relationships between the default network and frontoparietal control network dynamically fluctuate across short time scales.
“Chang and Glover174 used a sliding-window correlation approach to demonstrate that temporal relationships between the DN and the FPCN dynamically fluctuate across short time scales.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [174] Chang C Glover GH Time-frequency dynamics of resting-state brain connectivity measured with fMRI NeuroImage 50 81 98 2010 20006716 PMC2827259 source
Not checked in the free run.
- Interpretationcitation
The anticorrelation between perceptual and internal systems may be a necessary condition for the brain to focus in detail on one stream while excluding the other.
“The anticorrelation between perceptual and internal systems may reflect a necessary condition for the brain to focus in a detailed manner on one stream to the exclusion of the other.2,181,182”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Smallwood J Distinguishing how from why the mind wanders: A process–occurrence framework for self-generated mental activity Psychol Bull 139 519 535 2013 23607430 source
Not checked in the free run.
- cites [181] Franklin MS The silver lining of a mind in the clouds: interesting musings are associated with positive mood while mind-wandering Front Percept Sci 4 583 2013 PMC3755259 24009599 source
Not checked in the free run.
- cites [182] Goldberg II Harel M Malach R 2006 When the brain loses its self: prefrontal inactivation during sensorimotor processing Neuron 50 2 329 39 16630842 source
Not checked in the free run.
- Interpretationcitation
Default and control networks can cooperate to perform particular mental operations.
“There is now a relatively extensive body of work suggesting that default and control networks can cooperate to perform particular mental operations.”
Quote in the paperSubstantial claim - Premisecitation
The frontoparietal control network has an important role in executive control of attention.
“It is now widely established that the frontoparietal control network (FPCN) plays an important role in executive control of attention.156–159”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [156] Dosenbach NUF A core system for the implementation of task sets Neuron 799 812 2006 16731517 PMC3621133 source
Not checked in the free run.
- cites [157] Banich MT Executive function: the search for an integrated account Curr Dir Psychol Sci 18 89 94 2009 source
Not checked in the free run.
- cites [158] Niendam TA Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions Cogn Affect Behav Neurosci 12 241 268 2012 22282036 PMC3660731 source
Not checked in the free run.
- cites [159] Cole MW Multi-task connectivity reveals flexible hubs for adaptive task control Nat Neurosci 16 1348 1355 2013 23892552 PMC3758404 source
Not checked in the free run.
- Interpretationreasoning
Anatomical or functional disruptions of the default network will have severe consequences for normal psychological functioning.
“A clear prediction from these findings is that anatomical or functional disruptions of the network will have severe consequences for normal psychological functioning.”
Quote in the paperSubstantial claim - Interpretationreasoning
The default network contributes to adaptive forms of self-generated cognition.
“Thus far, we have synthesized evidence suggesting that the DN contributes to adaptive forms of self-generated cognition.”
Quote in the paperSubstantial claim - Interpretationreasoning
In many empirical contexts, suppression of the default network is adaptive and necessary for effective completion of cognitive tasks requiring attention to experimental stimuli.
“In many empirical contexts, suppression of the DN is adaptive and necessary for effective completion of cognitive tasks that require attention to experimental stimuli.”
Quote in the paperSubstantial claim - Premisecitation
Default network alterations have been reported in numerous mental health disorders and neurological diseases, including depression, anxiety, schizophrenia, obsessive compulsive disorder, psychopathy, substance abuse, ADHD, autism, Tourette's syndrome, Alzheimer's disease, semantic dementia, and chronic pain.
“Indeed, DN alterations have been reported in numerous mental health disorders and neurological diseases, including depression, anxiety, schizophrenia, obsessive compulsive disorder, psychopathy, substance abuse, attention deficit hyperactivity disorder (ADHD), autism, Tourette’s syndrome, Alzheimer’s disease, semantic dementia, and chronic pain (among others).7,43,183,184”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [7] Buckner RL Andrews-Hanna JR Schacter DL The brain’s default network: anatomy, function, and relevance to disease Ann N Y Acad Sci 1124 1 38 2008 18400922 source
Not checked in the free run.
- cites [43] Irish M Piguet O Hodges JR Self-projection and the default network in frontotemporal dementia Nat Rev Neurol 8 152 161 2011 22331029 source
Not checked in the free run.
- cites [183] Broyd SJ Default-mode brain dysfunction in mental disorders: a systematic review Neurosci Biobehav Rev 33 279 96 2009 18824195 source
Not checked in the free run.
- cites [184] Buckner RL The brain’s default network: origins and implications for the study of psychosis Dialogues in Clinical Neuroscience 15 351 358 2013 24174906 PMC3811106 source
Not checked in the free run.
- Interpretationreasoning
At least some forms of self-generated thought require executive resources.
“Such evidence is consistent with the notion that at least some forms of self-generated thought require executive resources.”
Quote in the paperSubstantial claim - Premisecitation
The frontoparietal control network regulates self-generated mnemonic, social, and emotional information by changing its functional connectivity with the dorsal attention network or the default network.
“However, the FPCN has also been shown to play an important role in regulating self-generated mnemonic, social, and emotional information, and does so by varying its functional connectivity with the DAN or the DN, respectively.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [162] Spreng RN Stevens WD Chamberlain JP Gilmore AW Schacter DL Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition NeuroImage 53 303 317 2010 20600998 PMC2914129 source
Not checked in the free run.
- Interpretationreasoning
The reviewed evidence suggests that the default network has complex interactions with several additional large-scale networks.
“The reviewed evidence suggests that the DN exhibits complex interactions with several additional large-scale networks”
Quote in the paperSubstantial claim - Premisecitation
In traumatic brain injury, the structural integrity of white matter tracts linking the dorsal anterior cingulate cortex and anterior insula predicted the degree of default network suppression during a stop-signal task.
“In a compelling study of traumatic brain injury, the structural integrity of the white matter tracts linking the dACC and aINS predicted the degree of suppression of the DN during a stop-signal task, a measure of inhibitory control.246”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [246] Bonnelle V Salience network integrity predicts default mode network function after traumatic brain injury Proc Natl Acad Sci U S A 109 4690 4695 2012 22393019 PMC3311356 source
Not checked in the free run.
- Premisecitation
Individuals with improved executive control are able to limit self-generated thought to non-demanding or unimportant contexts.
“By contrast, individuals with improved executive control are able to limit their self-generated thought to non-demanding or unimportant contexts.10,176,178”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Smallwood J Andrews-Hanna J Not all minds that wander are lost: the importance of a balanced perspective on the mind-wandering state Front Psychol 4 1 6 2013 23966961 PMC3744871 source
Not checked in the free run.
- cites [176] Levinson DB Smallwood J Davidson RJ The persistence of thought: Evidence for a role of working memory in the maintenance of task-unrelated thinking Psychol Sci 23 375 380 2012 22421205 PMC3328662 source
Not checked in the free run.
- cites [178] Bernhardt B Cortical thickness in medial prefrontal cortex and cingulate cortices supports self-generated thickness and reduced delay discounting (under review)
Not checked in the free run.
- Interpretationreasoning
The nature and topographical locations of default network alterations often differ across disorders, paralleling varied symptom profiles.
“a closer look into these patient populations reveals that both the nature and topographical locations of DN alterations often differ across disorders, paralleling varied symptom profiles.”
Quote in the paperSubstantial claim - Premisecitation
Mood disorders including major depressive disorder and bipolar disorder are associated with enhanced activity and connectivity of default network structures with key regions of the limbic and/or salience networks.
“For example, mood disorders including major depressive disorder and bipolar disorder are associated with enhanced activity and connectivity of DN structures with key regions of the limbic and/or salience networks.147,148,215–219”
Quote in the paperSubstantial claim0 of 7 sources checked- cites [147] Whitfield-Gabrieli S Ford JM Default mode network activity and connectivity in psychopathology Annu Rev Clin Psychol 8 49 76 2012 22224834 source
Not checked in the free run.
- cites [148] Anticevic A The Role of Default Network Deactivation in Cognition and Disease Trends in Cognitive Sciences 1 9 2012 PMC3501603 23142417 source
Not checked in the free run.
- cites [215] Greicius MD Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus Biol Psychiatry 62 429 37 2007 17210143 PMC2001244 source
Not checked in the free run.
- cites [216] Sheline YI The default mode network and self-referential processes in depression Proc Natl Acad Sci U S A 106 1942 7 2009 19171889 PMC2631078 source
Not checked in the free run.
- cites [217] Sheline YI Price JL Yan Z Mintun MA Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus Proc Natl Acad Sci U S A 107 11020 11025 2010 20534464 PMC2890754 source
Not checked in the free run.
- cites [218] Sambataro F Wolf ND Pennuto M Vasic N Wolf RC Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity Psychological medicine 1 11 2013 24176176
Not checked in the free run.
- cites [219] Anticevic A Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history Biological psychiatry 73 565 73 2013 22980587 PMC3549314 source
Not checked in the free run.
- Study design and conductcitation
Many studies do not assess whether group differences in motion, respiration, and other confounds can explain observed differences in activity or connectivity.
“many studies do not assess whether group differences in motion, respiration, and other confounds can explain observed differences in activity or connectivity.185”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [185] Buckner RL Krienen FM Yeo BTT Opportunities and limitations of intrinsic functional connectivity MRI Nature neuroscience 16 832 7 2013 23799476 source
Not checked in the free run.
- Premisecitation
Many disorders including ADHD, schizophrenia, depression, rumination, and obsessive-compulsive disorder have problems regulating the occurrence of self-generated thoughts.
“Many disorders including ADHD, schizophrenia, depression, rumination, and obsessive–compulsive disorder (OCD) have problems regulating the occurrence of self-generated thoughts.”
Quote in the paperSubstantial claim - Premisecitation
Depressed individuals who ruminate exhibit greater dominance of the default network compared to the dorsal attention network during rest.
“Depressed individuals who ruminate also exhibit greater dominance of the DN compared to the DAN during rest.239”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [239] Hamilton JP Default-mode and task-positive network activity in major depressive disorder: Implications for adaptive and maladaptive rumination Biol Psychiatry 70 327 333 2011 21459364 PMC3144981 source
Not checked in the free run.
- Premisecitation
Alzheimer's disease and frontotemporal lobar degeneration target relatively distinct regions within and outside the default network.
“Alzheimer’s disease (AD) and forms of frontotemporal lobar degeneration (FTLD), including semantic dementia (SD) and behavioral variant frontotemporal dementia (bv-FTD), are neurodegenerative disorders that target relatively distinct regions within and outside the DN.190–193”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [190] Rosen HJ Patterns of brain atrophy in frontotemporal dementia and semantic dementia Neurology 58 198 208 2002 11805245 source
Not checked in the free run.
- cites [191] Buckner RL Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory J Neurosci Off J Soc Neurosci 25 7709 7717 2005 PMC6725245 16120771 source
Not checked in the free run.
- cites [192] Seeley WW Crawford RK Zhou J Miller BL Greicius MD Neurodegenerative diseases target large-scale human brain networks Neuron 62 42 52 2009 19376066 PMC2691647 source
Not checked in the free run.
- cites [193] Irish M Profiles of recent autobiographical memory retrieval in semantic dementia, behavioural-variant frontotemporal dementia, and Alzheimer’s disease Neuropsychologia 49 2694 702 2011 21658396 source
Not checked in the free run.
- Interpretationreasoning
For many psychopathological conditions, an inability to control the occurrence of excessive or distracting self-generated thoughts in a context-dependent manner may lead to impairments in ongoing tasks, supporting the context regulation hypothesis.
“Together these studies suggest that for many psychopathological conditions, an inability to control the occurrence of excessive or distracting self-generated thoughts in a context-dependent manner may lead to impairments in ongoing tasks, and so provides basic support for the context regulation hypothesis.”
Quote in the paperSubstantial claim - Premisecitation
Alzheimer's disease pathology primarily affects the posterior cingulate cortex and the medial temporal subsystem.
“The pathology of AD primarily affects the PCC and the medial temporal subsystem.191,192,194”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [191] Buckner RL Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory J Neurosci Off J Soc Neurosci 25 7709 7717 2005 PMC6725245 16120771 source
Not checked in the free run.
- cites [192] Seeley WW Crawford RK Zhou J Miller BL Greicius MD Neurodegenerative diseases target large-scale human brain networks Neuron 62 42 52 2009 19376066 PMC2691647 source
Not checked in the free run.
- cites [194] Zhou J Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer’s disease Brain J Neurol 133 1352 1367 2010 PMC2912696 20410145 source
Not checked in the free run.
- Interpretationreasoning
The default network's coordination and competition with many other large-scale networks may be important in dictating the variety of human self-generated experiences.
“Together, these different lines of evidence converge on the notion that the DN’s coordination and competition with many other large-scale networks may be important in dictating the variety of human self-generated experiences that we experience in daily life.”
Quote in the paperSubstantial claim
- May combine two claims. 24
- Classified as probably not a substantial claim. 4
May combine two claims.
Findingown dataNeuroSynth meta-analyses showed the dorsal medial subsystem corresponded most strongly with mentalizing and social cognition, as well as story comprehension and semantic or conceptual processing.
“Out of 526 meta-analyses in the NeuroSynth database, the dorsal medial subsystem corresponded most strongly with meta-analytic maps pertaining to mentalizing and social cognition (i.e., mentalizing, social, person, theory of mind, mental, scenarios), as well as story comprehension and semantic/conceptual processing (i.e., comprehension, semantic, sentence, story, meaning, knowledge, language, word”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65] Yarkoni T Poldrack RA Nichols TE Essen DCV Wager TD Large-scale automated synthesis of human functional neuroimaging data Nat Methods 8 665 670 2011 21706013 PMC3146590 source
Not checked in the free run.
May combine two claims.
FindingcitationThe dorsal attention network supports visuospatial processing, and its engagement results in suppression of the default network.
“The DAN supports visuospatial processing,141 and its engagement results in the suppression of the DN.142”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [141] Corbetta M Shulman GL Control of goal-directed and stimulus-driven attention in the brain Nat Rev Neurosci 3 201 215 2002 11994752 source
Not checked in the free run.
- cites [142] Toro R Fox PT Paus T Functional coactivation map of the human brain Cereb Cortex 18 2553 2559 2008 18296434 PMC2567424 source
Not checked in the free run.
May combine two claims.
FindingcitationThe magnitude of default network-dorsal attention network anticorrelation relates to cognitive performance and certain psychopathological disorders.
“The magnitude of anticorrelation also relates to cognitive performance145 and certain psychopathological disorders (see below).146–148”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [145] Kelly AMC Uddin LQ Biswal BB Castellanos FX Milham MP Competition between functional brain networks mediates behavioral variability NeuroImage 39 527 537 2008 17919929 source
Not checked in the free run.
- cites [146] Sonuga-barke EJS Castellanos FX Spontaneous attentional fluctuations in impaired states and pathological conditions: A neurobiological hypothesis Brain 31 977 986 2007 17445893
Not checked in the free run.
- cites [147] Whitfield-Gabrieli S Ford JM Default mode network activity and connectivity in psychopathology Annu Rev Clin Psychol 8 49 76 2012 22224834 source
Not checked in the free run.
- cites [148] Anticevic A The Role of Default Network Deactivation in Cognition and Disease Trends in Cognitive Sciences 1 9 2012 PMC3501603 23142417 source
Not checked in the free run.
May combine two claims.
FindingcitationThe dynamic balance between the default network and dorsal attention network emerges in early childhood and is reduced with advancing age.
“This dynamic balance emerges in early childhood143 and is reduced with advancing age.144”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [143] Gao W The synchronization within and interaction between the default and dorsal attention networks in early infancy Cereb Cortex 23 594 603 2012 22368080 PMC3563337 source
Not checked in the free run.
- cites [144] Spreng RN Schacter DL Default network modulation and large-scale network interactivity in healthy young and old adults Cereb Cortex 22 2610 2621 2012 22128194 PMC3464415 source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe default network plays a key role in internally directed or self-generated thought.
“A growing theme highlights the default network as playing a key role in internally-directed—or self-generated—thought.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe default network and self-generated thought are directly relevant to psychopathology and disease.
“Finally, we propose that the DN and self-generated thought is directly relevant to psychopathology and disease.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThese meta-analytic findings provide initial evidence of functional dissociation and interactions among default network components.
“These findings provide initial evidence of functional dissociation and interactions among the DN components.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningA default network core represents personally relevant information, the medial temporal subsystem brings associative information to mind to construct coherent mental scenes, and the dorsal medial subsystem supports metacognitive reflection on self and other using stored conceptual knowledge.
“We propose that a DN core works to represent information that is personally relevant, the medial temporal subsystem allows an individual to bring associative information to mind to construct coherent mental scenes, and the dorsal medial subsystem allows information related to self and other to be reflected upon in a meta-cognitive manner, likely using stored conceptual knowledge.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenDisruptions to the integrity of the default network have clinical implications, and disorders can involve polarized thought content or disrupted or imbalanced network interactions.
“We conclude by discussing clinical implications of disruptions to the integrity of the network, and consider disorders when thought content becomes polarized or network interactions become disrupted or imbalanced.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe content of self-generated thoughts suggests they serve an adaptive purpose by helping individuals prepare for upcoming events, form self-identity and continuity, and navigate the social world.
“The content of self-generated thoughts suggests that they serve an adaptive purpose by allowing individuals to prepare for upcoming events,33 form a sense of self-identity and continuity across time,30,34 and navigate the social world.35–37”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [33] Baird B Smallwood J Schooler JW Back to the future: Autobiographical planning and the functionality of mind-wandering Conscious Cogn 20 1604 1611 2011 21917482 source
Not checked in the free run.
- cites [30] Smallwood J Self-reflection and the temporal focus of the wandering mind Conscious Cogn 4 1120 1126 2011 21277803 source
Not checked in the free run.
- cites [34] Prebble SC Addis DR Tippett LJ Autobiographical memory and sense of self Psychological bulletin 139 815 40 2013 23025923 source
Not checked in the free run.
- cites [35] Ruby FJ Smallwood J Sackur J Singer T 2013 Is Self-Generated Thought a means of Social Problem Solving? Front Psychol 4 962 10.3389/fpsyg.2013.00962 24391621 PMC3870294 source
Not checked in the free run.
- cites [36] Immordino-Yang MH Christodoulou Ja Singh V Rest Is not idleness: implications of the brain’s default mode for human development and education Perspectives on Psychological Science 7 352 364 2012 26168472 source
Not checked in the free run.
- cites [37] Mar RA Mason MF Litvack A How daydreaming relates to life satisfaction, loneliness, and social support: the importance of gender and daydream content Conscious Cogn 21 401 407 2012 22033437 source
Not checked in the free run.
May combine two claims.
PremisecitationSpreng and colleagues' resting-state functional connectivity MRI and graph analyses found little positive connectivity between default and dorsal attention networks, high connectivity between each of these networks and the frontoparietal control network, and preferential pairwise connectivity among core network nodes.
“the authors observed little positive connectivity between default and dorsal attention networks, accompanied by a high degree of connectivity between each of these networks and the FPCN, with preferential patterns of pairwise connectivity amongst core network nodes (Fig. 5).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [163] Spreng RN Sepulcre J Turner GR Stevens WD Schacter DL Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain J Cogn Neurosci 25 74 86 2013 22905821 PMC3816715 source
Not checked in the free run.
May combine two claims.
PremisecitationThe salience network is involved in detecting behaviorally significant external stimuli and in dynamically switching between external and internal attention.
“Evidence suggests that the salience network is involved in the detection of behaviorally significant stimuli in the external environment243 and plays a key role in dynamically switching between external and internal modes of attention.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [243] Seeley WW Dissociable intrinsic connectivity networks for salience processing and executive control J Neurosci 27 2349 2356 2007 17329432 PMC2680293 source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe frontoparietal control network is anatomically positioned between the default and dorsal attention networks and may modulate their activation and suppression according to goal states.
“Although spatially distinct, the FPCN is anatomically interposed between the default and dorsal attention networks,51,160,162 suggesting it may play an important modulatory role in the activation and suppression of these other networks based on switching goal states.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [51] Yeo BTT The organization of the human cerebral cortex estimated by intrinsic functional connectivity J Neurophysiol 106 1125 1265 2011 21653723 PMC3174820 source
Not checked in the free run.
- cites [160] Vincent JL Kahn I Snyder AZ Raichle ME Buckner RL Evidence for a frontoparietal control system revealed by intrinsic functional connectivity J Neurophysiol 100 3328 3342 2008 18799601 PMC2604839 source
Not checked in the free run.
- cites [162] Spreng RN Stevens WD Chamberlain JP Gilmore AW Schacter DL Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition NeuroImage 53 303 317 2010 20600998 PMC2914129 source
Not checked in the free run.
May combine two claims.
InterpretationcitationBehavioral findings on self-generated thought reflect the experiential equivalent of contextual changes in frontoparietal-default network correlation and support the context regulation hypothesis.
“Together these findings have been suggested to reflect the experiential equivalent of the contextual changes in the correlation between the frontoparietal and default networks,2 and provide support for the context regulation hypothesis10”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [2] Smallwood J Distinguishing how from why the mind wanders: A process–occurrence framework for self-generated mental activity Psychol Bull 139 519 535 2013 23607430 source
Not checked in the free run.
- cites [10] Smallwood J Andrews-Hanna J Not all minds that wander are lost: the importance of a balanced perspective on the mind-wandering state Front Psychol 4 1 6 2013 23966961 PMC3744871 source
Not checked in the free run.
May combine two claims.
PremisecitationIn Spreng and colleagues' study, visuospatial planning engaged the dorsal attention network, autobiographical planning engaged the default network, and both engaged the frontoparietal control network; the control network coupled with the default network during autobiographical planning and with the dorsal attention network during visuospatial planning.
“Visuospatial planning engaged the DAN, whereas autobiographical planning engaged the DN. Both engaged the FPCN and, critically, task-related functional connectivity analyses indicated that this network was coupled with the DN during autobiographical planning and with the dorsal attention network during visuospatial planning.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [162] Spreng RN Stevens WD Chamberlain JP Gilmore AW Schacter DL Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition NeuroImage 53 303 317 2010 20600998 PMC2914129 source
Not checked in the free run.
May combine two claims.
PremisecitationIndividuals with ADHD exhibit elevated response-time variability, supporting theories that the default network interferes with maintenance of external task goals by periodically disrupting on-task attention.
“In addition to these manifestations, individuals with ADHD also exhibit elevated response-time variability,236 supporting theories that the DN interferes with maintenance of external task goals by periodically disrupting on-task attention.146,232”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [236] Castellanos FX Varieties of attention-deficit/hyperactivity disorder-related intra-individual variability Biol Psychiatry 57 1416 1423 2005 15950016 PMC1236991 source
Not checked in the free run.
- cites [146] Sonuga-barke EJS Castellanos FX Spontaneous attentional fluctuations in impaired states and pathological conditions: A neurobiological hypothesis Brain 31 977 986 2007 17445893
Not checked in the free run.
- cites [232] Castellanos FX Proal E Large-scale brain systems in ADHD: beyond the prefrontal–striatal model Trends Cogn Sci 16 17 26 2011 22169776 PMC3272832 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe default network is both an essential part of normal human functioning and can be a critical element of poor psychological well-being.
“These observations explain why the network is both an essential part of normal human functioning and can be a critical element of poor psychological well-being.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationDepressed individuals tend to exhibit perseverative focus on unachievable or failed goal states, which could maintain or exacerbate negative affect, a process termed depressive interlock.
“This pattern may reflect the fact that depressed individuals tend to exhibit a perseverative focus on unachievable or failed goal states, which could maintain, if not exacerbate, states of negative affect—a process that has been termed depressive interlock.220”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [220] Barnard PJ Teasdale JD Interacting cognitive subsystems: A systemic approach to cognitive-affective interaction and change Cogn Emot 5 1 39 1991 source
Not checked in the free run.
May combine two claims.
InterpretationcitationDisorders affecting the structural or functional integrity of the default network will produce marked impairments in the quality of self-generated thought and may compromise its production mechanism altogether.
“In summary, disorders that affect the integrity of the default network’s structural or functional neuroanatomy (e.g., aging, neurodegenerative disease, focal lesions,105 or disorders of consciousness205) will produce marked impairments in the quality of self-generated thought and may compromise the production mechanism altogether.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [105] Hayes SM Salat DH Verfaellie M Default network connectivity in medial temporal lobe amnesia J Neurosci 32 14622 14629 2012 23077048 PMC3573849 source
Not checked in the free run.
- cites [205] Vanhaudenhuyse A Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients Brain 133 161 71 2010 20034928 PMC2801329 source
Not checked in the free run.
May combine two claims.
PremisecitationDepressed individuals who ruminate have sticky thoughts and problems updating working memory and task switching, such that prior goal states exert a stronger influence on ongoing mental processes than normal.
“Depressed individuals, particularly those who ruminate, have “sticky thoughts” and problems with updating the contents of working memory and task switching such that prior goal states exert a stronger influence on on-going mental processes than normal.237,238”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [237] Joormann J Levens SM Gotlib IH Sticky thoughts: depression and rumination are associated with difficulties manipulating emotional material in working memory Psychol Sci 22 979 983 2011 21742932 PMC11862919 source
Not checked in the free run.
- cites [238] Joormann J Cognitive inhibition and emotion regulation in depression Curr Dir Psychol Sci 19 161 166 2010 source
Not checked in the free run.
May combine two claims.
PremisecitationIn healthy older adults, default network integrity is diminished in function and structure, and these declines are associated with memory impairments.
“In healthy older adults, the integrity of the DN is diminished both in function186,187 and structure,188 and observed declines are associated with impairments in memory function.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [186] Andrews-Hanna JR Disruption of large-scale brain systems in advanced aging Neuron 56 924 935 2007 18054866 PMC2709284 source
Not checked in the free run.
- cites [187] Damoiseaux JS Reduced resting-state brain activity in the ‘default network’ in normal aging Cereb Cortex 18 1856 1864 2008 18063564 source
Not checked in the free run.
- cites [188] Spreng RN Turner GR Structural covariance of the default network in healthy and pathological aging J Neurosci 33 15226 15234 2013 24048852 PMC3776065 source
Not checked in the free run.
May combine two claims.
PremisecitationThese impairments often manifest as increased distractibility or elevated mind-wandering, as well as hyperactivity of the default network and weaker anticorrelations with networks involved in external attention.
“These impairments often manifest as increased distractibility or elevated levels of mind-wandering,212,228–231 as well as hyperactivity of the DN and weaker anticorrelations with networks involved in external attention.146–148,229,232–235”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [212] Watkins ER Constructive and unconstructive repetitive thought Psychol Bull 134 163 206 2008 18298268 PMC2672052 source
Not checked in the free run.
- cites [228] Barkley RA Behavioral inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD Psychol Bull 121 65 94 1997 9000892 source
Not checked in the free run.
- cites [229] Marchetti I Koster EHW Sonuga-Barke EJ De Raedt R The default mode network and recurrent depression: A neurobiological model of cognitive risk factors Neuropsychol Rev 22 229 251 2012 22569771 source
Not checked in the free run.
- cites [230] Shaw GA Giambra LM Task-unrelated thoughts of college- students diagnosed as hyperactive in childhood Dev Neuropsychol 9 17 30 1993 source
Not checked in the free run.
- cites [231] Smallwood J O’Connor RC Sudbery MV Obonsawin M Mind-wandering and dysphoria Cogn Emot 21 816 842 2007 source
Not checked in the free run.
- cites [146] Sonuga-barke EJS Castellanos FX Spontaneous attentional fluctuations in impaired states and pathological conditions: A neurobiological hypothesis Brain 31 977 986 2007 17445893
Not checked in the free run.
- cites [147] Whitfield-Gabrieli S Ford JM Default mode network activity and connectivity in psychopathology Annu Rev Clin Psychol 8 49 76 2012 22224834 source
Not checked in the free run.
- cites [148] Anticevic A The Role of Default Network Deactivation in Cognition and Disease Trends in Cognitive Sciences 1 9 2012 PMC3501603 23142417 source
Not checked in the free run.
- cites [232] Castellanos FX Proal E Large-scale brain systems in ADHD: beyond the prefrontal–striatal model Trends Cogn Sci 16 17 26 2011 22169776 PMC3272832 source
Not checked in the free run.
- cites [233] Fassbender C A lack of default network suppression is linked to increased distractibility in ADHD Brain Res 1273 114 128 2009 19281801 PMC4721585 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningSome states of psychopathology result from compromised integrity of the default network, while others reflect a failure to regulate default network activity and self-generated thoughts to appropriate contexts or adaptive content.
“Although some states of psychopathology result from compromised integrity of the DN, others reflect a failure to regulate DN activity and self-generated thoughts to contexts when its psychological functions are appropriate, or to content that is adaptive in nature.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S4 (based).
Interpretationnone givenHarnessing the beneficial aspects of self-generated thought and associated default network activity requires the ability to adaptively regulate the content of internal experience.
“Our first hypothesis proposes that harnessing the beneficial aspects of self-generated thought and associated DN activity requires the ability to adaptively regulate the content underlying this internal experience.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFrontotemporal lobar degeneration more specifically affects the dorsal medial subsystem, anterior medial prefrontal cortex, and salience network, with degeneration extending from dorsal to ventral prefrontal regions and into lateral temporal cortex.
“In contrast to AD, FTLD more specifically affects the dorsal medial subsystem, the amPFC, and the salience network, with degeneration extending from dorsal to ventral prefrontal regions and into the lateral temporal cortex.43,192”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [43] Irish M Piguet O Hodges JR Self-projection and the default network in frontotemporal dementia Nat Rev Neurol 8 152 161 2011 22331029 source
Not checked in the free run.
- cites [192] Seeley WW Crawford RK Zhou J Miller BL Greicius MD Neurodegenerative diseases target large-scale human brain networks Neuron 62 42 52 2009 19376066 PMC2691647 source
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningA final form of psychopathology could be a failure to regulate self-generated thought to a context when it does not interfere with ongoing tasks, referred to as the context regulation hypothesis.
“A final form of psychopathology could, therefore, be a failure to regulate self-generated thought to a context when it does not interfere with ongoing tasks. We refer to this idea as the context regulation hypothesis of adaptive DN function.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe full extent of self-generated thought is unlikely to be attributable to a single network, and the brain regions involved may depend on both the content and the precise process of the experience.
“Given its intricate nature, the full extent of self-generated thought is unlikely to be attributable to a single network of regions, and the brain regions involved in self-generated thought may critically depend upon both the content underlying the experience (see also Ref. 247) and the precise process by which the experience occurs.2”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [247] Preminger S Harmelech T Malach R Stimulus-free thoughts induce differential activation in the human default network NeuroImage 54 1692 702 2011 20728555 source
Not checked in the free run.
- cites [2] Smallwood J Distinguishing how from why the mind wanders: A process–occurrence framework for self-generated mental activity Psychol Bull 139 519 535 2013 23607430 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningSpatially distinct default network regions such as the posterior cingulate cortex and medial prefrontal cortex likely serve complementary rather than redundant functions, allowing complex phenomena such as autobiographical thought to emerge.
“It seems unlikely that spatially distinct regions (such as the PCC or mPFC) support computations that are redundant with one another; rather, these different regions likely serve complementary functions that, in combination, allow more complex phenomena (such as autobiographical thought) to emerge.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Group differences in default network activity or connectivity observed in the reviewed studies are not explained by motion, respiration, or other confounds.
“many studies do not assess whether group differences in motion, respiration, and other confounds can explain observed differences in activity or connectivity.185”
The paper relies on this without support.
Default network alterations observed in mental health disorders and neurological diseases are causally linked to variations in default network function and to psychopathological symptoms.
“we propose three different mechanisms that explain how psychopathological states can be linked to variations in the function of the DN.”
The paper relies on this without support.
Self-generated thought and default network activity have adaptive potential.
“Although self-generated thought and DN activity has an adaptive potential, it does not necessarily follow that all attempts at self-generated thought improve cognitive functioning or psychological well-being.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The default mode network serves as the neurophysiological basis for the self or ego because it is activated during self-referential thought.
“DMN serves as the neurophysiological basis for the 'self' or 'ego' because of its activation when individuals engage in self-referential thought [45].”
From Mindfulness meditation and psychedelics: potential synergies and commonalities (2023) · cites this paper as [45]
In “The default network plays an active role in self-generated cognition” (page not available), the paper says the network is activated during tasks involving self-reflection and referencing information to oneself. “Default network subsystems support component processes of self-generated thought” also associates its core with self-related processes. Neither passage establishes that the network is the neurophysiological basis of the self or ego; that is stronger than the paper’s account. (LLM, conf=0.85)
Experimental — accuracy not yet measuredResearch shows the function of the DMN goes beyond resting state.
“research shows its function to go beyond that”
From SSRI Treatment Response Prediction in Depression Based on Brain Activation by Emotional Stimuli (2020) · cites this paper as [19]
Self-generated thoughts can benefit from goal-directed processing and cognitive control.
“Although self-generated thoughts can occur spontaneously in mind, they also have been shown to benefit from goal-directed processing and cognitive control [5].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [5]
Experimental — accuracy not yet measuredDefault network activity is associated with spontaneous and self-generated thought, including mind-wandering, mental simulation, social cognition, autobiographical retrieval, and episodic future thinking.
“Default network activity is associated with spontaneous and self-generated thought, including mind-wandering, mental simulation, social cognition, autobiographical retrieval, and episodic future thinking [5, 13–14].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [5]
Processes involving default-control cooperation typically involve top-down modulation of self-generated information.
“Such processes typically involve the top-down modulation of self-generated information [5].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [5]
The default network contributes to generating candidate ideas, which are potentially useful information derived from long-term memory.
“We suggest that the default network contributes to the generation of candidate ideas—potentially useful information derived from long-term memory—in light of its role in self-generated cognition (e.g., episodic memory; [5]).”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [5]
The default and control networks cooperate to generate and maintain an internal train of thought or during extended evaluation of internal information.
“It has previously been suggested that the default and control networks will cooperate to generate and maintain an “internal train of thought” [65] or during the extended evaluation of internal information [5].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [5]
Emerging evidence suggests that the executive and default networks cooperate whenever it is necessary to perform a task that requires extended evaluation of internal information.
“Emerging evidence, however, suggests that the executive and default networks actually cooperate whenever it is necessary to perform a task that requires extended evaluation of internal information8.”
From Default and executive network coupling supports creative idea production (2015) · cites this paper as [8]
These findings are consistent with the emerging literature on the cooperative role of default and executive networks during cognitive states that involve focused internal attention.
“These findings are consistent with the emerging literature on the cooperative role of default and executive networks during cognitive states that involve focused internal attention8.”
From Default and executive network coupling supports creative idea production (2015) · cites this paper as [8]
Such findings suggest that DMN and ECN regions show increased coupling when attention is focused on internally-directed processes.
“Such findings suggest that DMN and ECN regions show increased coupling when attention is focused on internally-directed processes8.”
From Default and executive network coupling supports creative idea production (2015) · cites this paper as [8]
The DMN has a core network located in the posterior cingulate cortex, precuneus, and medial prefrontal cortex.
“The DMN has a core network located in the posterior cingulate cortex, precuneus, and medial prefrontal cortex20.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [20]
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Self-citationThe organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
Wimmer, H. (1983) · Cognition · doi:10.1016/0010-0277(83)90004-5 · Cited by 6,305 · see citing works
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592 · see citing works
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008) · Perspectives on Psychological Science · doi:10.1111/j.1745-6924.2008.00088.x · Cited by 5,172 · see citing works
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060 · see citing works
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · see citing works
Sridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892 · see citing works
The weak coherence account: detail-focused cognitive style in autism spectrum disorders
Happé, F., & Frith, U. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0039-0 · Cited by 2,884 · see citing works
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792 · see citing works
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767 · see citing works
Self-citationWhere do you know what you know? The representation of semantic knowledge in the human brain
Patterson, K., Nestor, P. J., & Rogers, T. T. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2277 · Cited by 2,706 · see citing works
A wandering mind is an unhappy mind
Killingsworth, M. A., & Gilbert, D. T. (2010) · Science · doi:10.1126/science.1192439 · Cited by 2,575 · see citing works
Constructive and unconstructive repetitive thought
Watkins, E. R. (2008) · Psychological Bulletin · doi:10.1037/0033-2909.134.2.163 · Cited by 2,421 · see citing works
Remembering the past to imagine the future: the prospective brain
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2213 · Cited by 2,394 · see citing works
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Development and neurophysiology of mentalizing
Frith, U., & Frith, C. D. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1218 · Cited by 2,306 · see citing works
The role of the posterior cingulate cortex in cognition and disease
Leech, R., & Sharp, D. J. (2014) · Brain · doi:10.1093/brain/awt162 · Cited by 2,247 · see citing works
Greicius, M. D., Flores, B. H., Menon, V., Glover, G. H., Solvason, H. B., Kenna, H., Reiss, A. L., & Schatzberg, A. F. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.09.020 · Cited by 2,214 · see citing works
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143 · see citing works
Self-citationBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
The neurobiology of semantic memory
Binder, J. R., & Desai, R. H. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.10.001 · Cited by 2,114 · see citing works
Smallwood, J., & Schooler, J. W. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.6.946 · Cited by 2,067 · see citing works
Self-citation(2011) · Cited by 2,032 · see citing works
Social Cognitive Neuroscience: A Review of Core Processes
Lieberman, M. D. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085654 · Cited by 2,010 · see citing works
Self-Control in Decision-Making Involves Modulation of the vmPFC Valuation System
Hare, T. A., Camerer, C. F., & Rangel, A. (2009) · Science · doi:10.1126/science.1168450 · Cited by 1,928 · see citing works
‘What’ and ‘where’ in the human brain
Ungerleider, L. G., & Haxby, J. V. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90066-3 · Cited by 1,913 · see citing works
Cognitive Reappraisal of Emotion: A Meta-Analysis of Human Neuroimaging Studies
Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., Weber, J., & Ochsner, K. N. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht154 · Cited by 1,896 · see citing works
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879 · see citing works
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869 · see citing works
Time–frequency dynamics of resting-state brain connectivity measured with fMRI
Chang, C., & Glover, G. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.011 · Cited by 1,808 · see citing works
Social cognition and the brain: A meta-analysis
Van Overwalle, F. (2009) · Human Brain Mapping · doi:10.1002/hbm.20547 · Cited by 1,792 · see citing works
A Core System for the Implementation of Task Sets
Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., Burgund, E. D., Grimes, A. L., Schlaggar, B. L., & Petersen, S. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.031 · Cited by 1,772 · see citing works
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900234106 · Cited by 1,769 · see citing works
Self-citationMulti-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works
Niendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0083-5 · Cited by 1,700 · see citing works
Default-mode brain dysfunction in mental disorders: A systematic review
Broyd, S. J., Demanuele, C., Debener, S., Helps, S. K., James, C. J., & Sonuga-Barke, E. J. S. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.09.002 · Cited by 1,675 · see citing works
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592 · see citing works
Self-citationThe Angular Gyrus: Multiple Functions and Multiple Subdivisions
Seghier, M. L. (2013) · The Neuroscientist · doi:10.1177/1073858412440596 · Cited by 1,585 · see citing works
The default mode network and self-referential processes in depression
Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., Mintun, M. A., Wang, S., Coalson, R. S., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812686106 · Cited by 1,480 · see citing works
Default Mode Network Activity and Connectivity in Psychopathology
Whitfield-Gabrieli, S., & Ford, J. M. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143049 · Cited by 1,465 · see citing works
Whitfield-Gabrieli, S., Thermenos, H. W., Milanovic, S., Tsuang, M. T., Faraone, S. V., McCarley, R. W., Shenton, M. E., Green, A. I., Nieto-Castanon, A., LaViolette, P., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809141106 · Cited by 1,435 · see citing works
Patients with hippocampal amnesia cannot imagine new experiences
Hassabis, D., Kumaran, D., Vann, S. D., & Maguire, E. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610561104 · Cited by 1,414 · see citing works
Mechanisms and streams for processing of “what” and “where” in auditory cortex
Rauschecker, J. P., & Tian, B. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.22.11800 · Cited by 1,399 · see citing works
The future of memory: remembering, imagining, and the brain
Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012) · Neuron · doi:10.1016/j.neuron.2012.11.001 · Cited by 1,398 · see citing works
Self-citationTwo cortical systems for memory-guided behaviour
Ranganath, C., & Ritchey, M. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3338 · Cited by 1,377 · see citing works
Understanding others' actions and goals by mirror and mentalizing systems: a meta-analysis
Van Overwalle, F., & Baetens, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.009 · Cited by 1,329 · see citing works
Competition between functional brain networks mediates behavioral variability
Kelly, A. M. C., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.008 · Cited by 1,287 · see citing works
Spreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.016 · Cited by 1,256 · see citing works
Self-citationDeconstructing episodic memory with construction
Hassabis, D., & Maguire, E. A. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.001 · Cited by 1,229 · see citing works
Sheline, Y. I., Price, J. L., Yan, Z., & Mintun, M. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000446107 · Cited by 1,196 · see citing works
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · see citing works
The proactive brain: using analogies and associations to generate predictions
Bar, M. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.005 · Cited by 1,144 · see citing works
Uddin, L. Q., Clare Kelly, A. M., Biswal, B. B., Xavier Castellanos, F., & Milham, M. P. (2009) · Human Brain Mapping · doi:10.1002/hbm.20531 · Cited by 1,135 · see citing works
The spectrum of behavioral changes in Alzheimer's disease
Mega, M., Cummings, J., Fiorello, T., & Gornbein, J. (1996) · Neurology · doi:10.1212/wnl.46.1.130 · Cited by 1,124 · see citing works
The brain's default network and its adaptive role in internal mentation
Andrews-Hanna, J. R. (2012) · The Neuroscientist · doi:10.1177/1073858411403316 · Cited by 1,114 · see citing works
Self-citationSchmahmann, J. D., Pandya, D. N., Wang, R., Dai, G., D'Arceuil, H. E., de Crespigny, A. J., & Wedeen, V. J. (2007) · Brain · doi:10.1093/brain/awl359 · Cited by 1,067 · see citing works
Dissociable Medial Prefrontal Contributions to Judgments of Similar and Dissimilar Others
Mitchell, J. P., Macrae, C. N., & Banaji, M. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.040 · Cited by 1,023 · see citing works
Zhou, J., Greicius, M. D., Gennatas, E. D., Growdon, M. E., Jang, J. Y., Rabinovici, G. D., Kramer, J. H., Weiner, M., Miller, B. L., & Seeley, W. W. (2010) · Brain · doi:10.1093/brain/awq075 · Cited by 1,016 · see citing works
Spreng, R. N., & Grady, C. L. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21282 · Cited by 985 · see citing works
Self-citationKane, M. J., Brown, L. H., McVay, J. C., Silvia, P. J., Myin-Germeys, I., & Kwapil, T. R. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01948.x · Cited by 979 · see citing works
The role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978 · see citing works
Inspired by Distraction: Mind Wandering Facilitates Creative Incubation
Baird, B., Smallwood, J., Mrazek, M. D., Kam, J. W. Y., Franklin, M. S., & Schooler, J. W. (2012) · Psychological Science · doi:10.1177/0956797612446024 · Cited by 975 · see citing works
Self-citation(2004) · Cited by 964 · see citing works
The Neural Bases of Social Cognition and Story Comprehension
Mar, R. A. (2011) · Annual Review of Psychology · doi:10.1146/annurev-psych-120709-145406 · Cited by 950 · see citing works
Uniquely human social cognition
Saxe, R. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.03.001 · Cited by 919 · see citing works
Meta-awareness, perceptual decoupling and the wandering mind
Schooler, J. W., Smallwood, J., Christoff, K., Handy, T. C., Reichle, E. D., & Sayette, M. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.006 · Cited by 917 · see citing works
Self-citationOpportunities and limitations of intrinsic functional connectivity MRI
Buckner, R. L., Krienen, F. M., & Yeo, B. T. T. (2013) · Nature Neuroscience · doi:10.1038/nn.3423 · Cited by 912 · see citing works
Vanhaudenhuyse, A., Noirhomme, Q., Tshibanda, L. J.-F., Bruno, M.-A., Boveroux, P., Schnakers, C., Soddu, A., Perlbarg, V., Ledoux, D., Brichant, J.-F., et al. (2010) · Brain · doi:10.1093/brain/awp313 · Cited by 911 · see citing works
How is our self related to midline regions and the default-mode network?
Qin, P., & Northoff, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.028 · Cited by 909 · see citing works
Sonuga-Barke, E. J. S., & Castellanos, F. X. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.02.005 · Cited by 890 · see citing works
Peters, J., & Büchel, C. (2010) · Neuron · doi:10.1016/j.neuron.2010.03.026 · Cited by 871 · see citing works
Cognitive Behavioural Processes across Psychological Disorders (DRAFT)
Harvey, A., Watkins, E., Mansell, W., & Shafran, R. (2004) · doi:10.1093/med:psych/9780198528883.001.0001 · Cited by 869 · see citing works
Ventromedial prefrontal–subcortical systems and the generation of affective meaning
Roy, M., Shohamy, D., & Wager, T. D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.01.005 · Cited by 856 · see citing works
Ochsner, K. N., Knierim, K., Ludlow, D. H., Hanelin, J., Ramachandran, T., Glover, G., & Mackey, S. C. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042947829 · Cited by 850 · see citing works
Patterns of brain atrophy in frontotemporal dementia and semantic dementia
Rosen, H. J., Gorno–Tempini, M. L., Goldman, W. P., Perry, R. J., Schuff, N., Weiner, M., Feiwell, R., Kramer, J. H., & Miller, B. L. (2002) · Neurology · doi:10.1212/wnl.58.2.198 · Cited by 841 · see citing works
Executive Function: The Search for an Integrated Account
Banich, M. T. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01615.x · Cited by 840 · see citing works
Large-scale brain systems in ADHD: beyond the prefrontal–striatal model
Castellanos, F. X., & Proal, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.007 · Cited by 831 · see citing works
Denny, B. T., Kober, H., Wager, T. D., & Ochsner, K. N. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00233 · Cited by 830 · see citing works
Pyszczynski, T., & Greenberg, J. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.102.1.122 · Cited by 825 · see citing works
Hamilton, J. P., Furman, D. J., Chang, C., Thomason, M. E., Dennis, E., & Gotlib, I. H. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.003 · Cited by 823 · see citing works
McVay, J. C., & Kane, M. J. (2009) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0014104 · Cited by 773 · see citing works
Semantic dementia: a unique clinicopathological syndrome
Hodges, J. R., & Patterson, K. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70266-1 · Cited by 772 · see citing works
Topographical disorientation: a synthesis and taxonomy
Aguirre, G. K. (1999) · Brain · doi:10.1093/brain/122.9.1613 · Cited by 772 · see citing works
Value, pleasure and choice in the ventral prefrontal cortex
Grabenhorst, F., & Rolls, E. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.004 · Cited by 766 · see citing works
Leech, R., Kamourieh, S., Beckmann, C. F., & Sharp, D. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5626-10.2011 · Cited by 759 · see citing works
Brain networks underlying episodic memory retrieval
Rugg, M. D., & Vilberg, K. L. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.005 · Cited by 751 · see citing works
The organization of the human striatum estimated by intrinsic functional connectivity
Choi, E. Y., Yeo, B. T. T., & Buckner, R. L. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00270.2012 · Cited by 746 · see citing works
Evidence for the Default Network's Role in Spontaneous Cognition
Andrews-Hanna, J. R., Reidler, J. S., Huang, C., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00830.2009 · Cited by 685 · see citing works
Self-citationAnxiety and Its Disorders: The Nature and Treatment of Anxiety and Panic
Noyes, R. (1990) · American Journal of Psychiatry · doi:10.1176/ajp.147.8.1083 · Cited by 681 · see citing works
Are there theory of mind regions in the brain? A review of the neuroimaging literature
Carrington, S., & Bailey, A. (2009) · Human Brain Mapping · doi:10.1002/hbm.20671 · Cited by 679 · see citing works
The costs and benefits of mind-wandering: A review.
Mooneyham, B. W., & Schooler, J. W. (2013) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/a0031569 · Cited by 674 · see citing works
Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668 · see citing works
Self-citationFrith, C. D. (1987) · Psychological Medicine · doi:10.1017/s0033291700025873 · Cited by 655 · see citing works
Intrinsic brain connectivity in fibromyalgia is associated with chronic pain intensity
Napadow, V., LaCount, L., Park, K., As‐Sanie, S., Clauw, D. J., & Harris, R. E. (2010) · Arthritis & Rheumatism · doi:10.1002/art.27497 · Cited by 645 · see citing works
Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., & Vogeley, K. (2008) · Consciousness and Cognition · doi:10.1016/j.concog.2008.03.013 · Cited by 615 · see citing works
Evaluative and generative modes of thought during the creative process
Ellamil, M., Dobson, C., Beeman, M., & Christoff, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.008 · Cited by 611 · see citing works
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606 · see citing works
Echoes of the brain within the posterior cingulate cortex
Leech, R., Braga, R., & Sharp, D. J. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.3689-11.2012 · Cited by 595 · see citing works
When the Brain Loses Its Self: Prefrontal Inactivation during Sensorimotor Processing
Goldberg, I. I., Harel, M., & Malach, R. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.015 · Cited by 593 · see citing works
Remembering the past: two facets of episodic memory explored with positron emission tomography
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.11.1576 · Cited by 593 · see citing works
Back to the future: Autobiographical planning and the functionality of mind-wandering
Baird, B., Smallwood, J., & Schooler, J. W. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.08.007 · Cited by 588 · see citing works
Self-citationThe ADaptation and Anticipation Model (ADAM) of sensorimotor synchronization
van der Steen, M. C., & Keller, P. E. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00253 · Cited by 586 · see citing works
The proactive brain: memory for predictions
Bar, M. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0310 · Cited by 583 · see citing works
Barkley, R. A. (1997) · Psychological Bulletin · doi:10.1037//0033-2909.121.1.65 · Cited by 580 · see citing works
Altered corticostriatal functional connectivity in obsessive-compulsive disorder
Harrison, B. J., Soriano-Mas, C., Pujol, J., Ortiz, H., López-Solà, M., Hernández-Ribas, R., Deus, J., Alonso, P., Yücel, M., Pantelis, C., et al. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.152 · Cited by 571 · see citing works
Smallwood, J. (2013) · Psychological Bulletin · doi:10.1037/a0030010 · Cited by 564 · see citing works
Self-citationSurface-Based and Probabilistic Atlases of Primate Cerebral Cortex
Essen, D. C. V., & Dierker, D. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.015 · Cited by 551 · see citing works
Varieties of Attention-Deficit/Hyperactivity Disorder-Related Intra-Individual Variability
Castellanos, F. X., Sonuga-Barke, E. J. S., Scheres, A., Di Martino, A., Hyde, C., & Walters, J. R. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.12.005 · Cited by 540 · see citing works
Sestieri, C., Corbetta, M., Romani, G. L., & Shulman, G. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3335-10.2011 · Cited by 523 · see citing works
van der Meer, L., Costafreda, S., Aleman, A., & David, A. S. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.004 · Cited by 520 · see citing works
Going AWOL in the Brain: Mind Wandering Reduces Cortical Analysis of External Events
Smallwood, J., Beach, E., Schooler, J. W., & Handy, T. C. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20037 · Cited by 520 · see citing works
Self-citationD’Angiulli, A., Runge, M., Faulkner, A., Zakizadeh, J., Chan, A., & Morcos, S. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00001 · Cited by 509 · see citing works
Mind-wandering: Phenomenology and function as assessed with a novel experience sampling method
Stawarczyk, D., Majerus, S., Maj, M., der Linden, M. V., & D’Argembeau, A. (2011) · Acta Psychologica · doi:10.1016/j.actpsy.2011.01.002 · Cited by 508 · see citing works
Behavioural-variant frontotemporal dementia: diagnosis, clinical staging, and management
Piguet, O., Hornberger, M., Mioshi, E., & Hodges, J. R. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70299-4 · Cited by 496 · see citing works
Shifting moods, wandering minds: Negative moods lead the mind to wander.
Smallwood, J., Fitzgerald, A., Miles, L. K., & Phillips, L. H. (2009) · Emotion · doi:10.1037/a0014855 · Cited by 488 · see citing works
Self-citationMacaque monkey retrosplenial cortex: III. Cortical efferents
Kobayashi, Y., & Amaral, D. G. (2007) · The Journal of Comparative Neurology · doi:10.1002/cne.21346 · Cited by 487 · see citing works
Cytology and functionally correlated circuits of human posterior cingulate areas
Vogt, B. A., Vogt, L., & Laureys, S. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.048 · Cited by 484 · see citing works
Posterior cingulate cortex: adapting behavior to a changing world
Pearson, J. M., Heilbronner, S. R., Barack, D. L., Hayden, B. Y., & Platt, M. L. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.02.002 · Cited by 482 · see citing works
Prefrontal Regions Orchestrate Suppression of Emotional Memories via a Two-Phase Process
Depue, B. E., Curran, T., & Banich, M. T. (2007) · Science · doi:10.1126/science.1139560 · Cited by 467 · see citing works
Autobiographical memory and sense of self.
Prebble, S. C., Addis, D. R., & Tippett, L. J. (2013) · Psychological Bulletin · doi:10.1037/a0030146 · Cited by 466 · see citing works
Uddin, L. Q., Supekar, K., Amin, H., Rykhlevskaia, E. I., Nguyen, D. A., Greicius, M. D., & Menon, V. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq011 · Cited by 449 · see citing works
Efferent Association Pathways from the Rostral Prefrontal Cortex in the Macaque Monkey
Petrides, M., & Pandya, D. Ν. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2419-07.2007 · Cited by 437 · see citing works
Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder
Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.3469 · Cited by 435 · see citing works
Smallwood, J., & Andrews-Hanna, J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00441 · Cited by 433 · see citing works
Self-citationConsidering the role of semantic memory in episodic future thinking: evidence from semantic dementia
Irish, M., Addis, D. R., Hodges, J. R., & Piguet, O. (2012) · Brain · doi:10.1093/brain/aws119 · Cited by 405 · see citing works
Dunbar, R. I. M., Marriott, A., & Duncan, N. D. C. (1997) · Human Nature · doi:10.1007/bf02912493 · Cited by 405 · see citing works
Brain, conscious experience and the observing self
Baars, B. J., Ramsøy, T. Z., & Laureys, S. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.09.015 · Cited by 404 · see citing works
Brain mediators of cardiovascular responses to social threat
Wager, T. D., Waugh, C. E., Lindquist, M., Noll, D. C., Fredrickson, B. L., & Taylor, S. F. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.043 · Cited by 402 · see citing works
Handbook of Imagination and Mental Simulation
Markman, K. D., Suhr, J., & Klein, W. (2012) · Psychology Press eBooks · doi:10.4324/9780203809846 · Cited by 390 · see citing works
Brain mediators of predictive cue effects on perceived pain
Atlas, L. Y., Bolger, N., Lindquist, M. A., & Wager, T. D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0057-10.2010 · Cited by 389 · see citing works
Inferences about mental states
Mitchell, J. P. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0318 · Cited by 387 · see citing works
Smallwood, J., Brown, K., Baird, B., & Schooler, J. W. (2012) · Brain Research · doi:10.1016/j.brainres.2011.03.072 · Cited by 379 · see citing works
Self-citationFunctional Coactivation Map of the Human Brain
Toro, R., Fox, P. T., & Paus, T. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn014 · Cited by 378 · see citing works
Macaque monkey retrosplenial cortex: II. Cortical afferents
Kobayashi, Y., & Amaral, D. G. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10883 · Cited by 378 · see citing works
Letting go: Mindfulness and negative automatic thinking
Frewen, P. A., Evans, E. M., Maraj, N., Dozois, D. J. A., & Partridge, K. (2008) · Cognitive Therapy and Research · doi:10.1007/s10608-007-9142-1 · Cited by 377 · see citing works
Smallwood, J., Nind, L., & O’Connor, R. C. (2009) · Consciousness and Cognition · doi:10.1016/j.concog.2008.11.004 · Cited by 351 · see citing works
Self-citationCognitive Inhibition and Emotion Regulation in Depression
Joormann, J. (2010) · Current Directions in Psychological Science · doi:10.1177/0963721410370293 · Cited by 345 · see citing works
Stimulus-independent thought depends on central executive resources
Teasdale, J. D., Dritschel, B. H., Taylor, M. J., Proctor, L., Lloyd, C. A., Nimmo-Smith, I., & Baddeley, A. D. (1995) · Memory & Cognition · doi:10.3758/bf03197257 · Cited by 341 · see citing works
Berryhill, M. E., Phuong, L., Picasso, L., Cabeza, R. E. L., & Olson, I. R. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4163-07.2007 · Cited by 339 · see citing works
Race, E., Keane, M. M., & Verfaellie, M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1145-11.2011 · Cited by 328 · see citing works
The fallacy of a “task‐negative” network
Spreng, R. N. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00145 · Cited by 320 · see citing works
Self-citationBrain activity at rest: a multiscale hierarchical functional organization
Doucet, G., Naveau, M., Petit, L., Delcroix, N., Zago, L., Crivello, F., Jobard, G., Tzourio-Mazoyer, N., Mazoyer, B., Mellet, E., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00895.2010 · Cited by 319 · see citing works
A lack of default network suppression is linked to increased distractibility in ADHD
Fassbender, C., Zhang, H., Buzy, W. M., Cortes, C. R., Mizuiri, D., Beckett, L., & Schweitzer, J. B. (2009) · Brain Research · doi:10.1016/j.brainres.2009.02.070 · Cited by 316 · see citing works
Andrews-Hanna, J. R., Saxe, R., & Yarkoni, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.032 · Cited by 313 · see citing works
Self-citationNeural connections of the posteromedial cortex in the macaque
Parvizi, J., Hoesen, G. W. V., Buckwalter, J. A., V, & Damásio, A. R. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507729103 · Cited by 313 · see citing works
Dimensions of Thought Flow in Everyday Life
Klinger, E., & Cox, W. M. (1987) · Imagination, Cognition and Personality · doi:10.2190/7k24-g343-mtqw-115v · Cited by 313 · see citing works
Arch, J. J., & Craske, M. G. (2008) · Clinical Psychology: Science and Practice · doi:10.1111/j.1468-2850.2008.00137.x · Cited by 310 · see citing works
Stawarczyk, D., Majerus, S., Maquet, P., & D'Argembeau, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016997 · Cited by 305 · see citing works
Murray, R., Schaer, M., & Debbané, M. (2012) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.12.013 · Cited by 302 · see citing works
Dreaming as mind wandering: evidence from functional neuroimaging and first-person content reports
Fox, K. C. R., Nijeboer, S., Solomonova, E., Domhoff, G. W., & Christoff, K. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00412 · Cited by 289 · see citing works
Smallwood, J., O'Connor, R. C., Sudbery, M. V., & Obonsawin, M. (2007) · Cognition & Emotion · doi:10.1080/02699930600911531 · Cited by 289 · see citing works
Self-citationThe default mode network and recurrent depression: A neurobiological model of cognitive risk factors
Marchetti, I., Koster, E. H. W., Sonuga-Barke, E. J., & De Raedt, R. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9199-9 · Cited by 287 · see citing works
Episodic simulation of future events is impaired in mild Alzheimer's disease
Addis, D. R., Sacchetti, D. C., Ally, B. A., Budson, A. E., & Schacter, D. L. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.05.018 · Cited by 287 · see citing works
Liddle, E. B., Hollis, C., Batty, M. J., Groom, M. J., Totman, J. J., Liotti, M., Scerif, G., & Liddle, P. F. (2011) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02333.x · Cited by 281 · see citing works
Barron, E., Riby, L. M., Greer, J. M. H., & Smallwood, J. (2011) · Psychological Science · doi:10.1177/0956797611404083 · Cited by 279 · see citing works
Self-citationRuby, F. J. M., Smallwood, J., Engen, H., & Singer, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077554 · Cited by 275 · see citing works
Self-citationOn the Role of the Ventromedial Prefrontal Cortex in Self-Processing: The Valuation Hypothesis
D’Argembeau, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00372 · Cited by 270 · see citing works
Global Prefrontal and Fronto-Amygdala Dysconnectivity in Bipolar I Disorder with Psychosis History
Anticevic, A., Brumbaugh, M. S., Winkler, A. M., Lombardo, L. E., Barrett, J., Corlett, P. R., Kober, H., Gruber, J., Repovs, G., Cole, M. W., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.031 · Cited by 263 · see citing works
What about the “Self” is Processed in the Posterior Cingulate Cortex?
Brewer, J. A., Garrison, K. A., & Whitfield-Gabrieli, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00647 · Cited by 263 · see citing works
Tracking the emergence of conceptual knowledge during human decision making
Kumaran, D., Summerfield, J. J., Hassabis, D., & Maguire, E. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.030 · Cited by 260 · see citing works
Imprisoned by the past: Unhappy moods lead to a retrospective bias to mind wandering
Smallwood, J., & O’Connor, R. C. (2011) · Cognition & Emotion · doi:10.1080/02699931.2010.545263 · Cited by 258 · see citing works
Self-citationClan mentality: evidence that the medial prefrontal cortex responds to close others
Krienen, F. M., Tu, P.-C., & Buckner, R. L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-10.2010 · Cited by 256 · see citing works
Neural correlates of individual differences in pain‐related fear and anxiety
Ochsner, K., Ludlow, D., Knierim, K., Hanelin, J., Ramachandran, T., Glover, G. C., & Mackey, S. (2006) · Pain · doi:10.1016/j.pain.2005.10.014 · Cited by 248 · see citing works
Imagine all the people: how the brain creates and uses personality models to predict behavior
Hassabis, D., Spreng, R. N., Rusu, A. A., Robbins, C. A., Mar, R. A., & Schacter, D. L. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht042 · Cited by 247 · see citing works
Self-citationKeller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., Lado, F. A., Kelly, C., Milham, M., & Mehta, A. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4837-12.2013 · Cited by 245 · see citing works
Rest Is Not Idleness: Implications of the Brain’s Default Mode for Human Development and Education
Immordino-Yang, M. H., Christodoulou, J. A., & Singh, V. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612447308 · Cited by 245 · see citing works
The role of strategies in motor learning
Taylor, J. A., & Ivry, R. B. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06430.x · Cited by 242 · see citing works
Ode to positive constructive daydreaming
McMillan, R. L., Kaufman, S. B., & Singer, J. L. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00626 · Cited by 238 · see citing works
Slow Fluctuations in Attentional Control of Sensory Cortex
Kam, J. W. Y., Dao, E. A., Farley, J., Fitzpatrick, K., Smallwood, J., Schooler, J. W., & Handy, T. C. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21443 · Cited by 234 · see citing works
Self-citationMind Wandering in Chinese Daily Lives – An Experience Sampling Study
Song, X., & Wang, X. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044423 · Cited by 232 · see citing works
Levinson, D. B., Smallwood, J., & Davidson, R. J. (2012) · Psychological Science · doi:10.1177/0956797611431465 · Cited by 232 · see citing works
Self-citationSegregation of the human medial prefrontal cortex in social cognition
Bzdok, D., Langner, R., Schilbach, L., Engemann, D. A., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00232 · Cited by 229 · see citing works
Schilbach, L., Bzdok, D., Timmermans, B., Fox, P. T., Laird, A. R., Vogeley, K. T., & Eickhoff, S. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030920 · Cited by 227 · see citing works
Interacting cognitive subsystems: A systemic approach to cognitive-affective interaction and change
Barnard, P. J., & Teasdale, J. D. (1991) · Cognition & Emotion · doi:10.1080/02699939108411021 · Cited by 226 · see citing works
Gerlach, K. D., Spreng, R. N., Gilmore, A. W., & Schacter, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.030 · Cited by 224 · see citing works
Self-citationIrish, M., Hornberger, M., Lah, S., Miller, L., Pengas, G., Nestor, P. J., Hodges, J. R., & Piguet, O. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.05.017 · Cited by 223 · see citing works
Evidence for social working memory from a parametric functional MRI study
Meyer, M. L., Spunt, R. P., Berkman, E. T., Taylor, S. E., & Lieberman, M. D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121077109 · Cited by 220 · see citing works
The Practice of Exposure Therapy: Relevance of Cognitive-Behavioral Theory and Extinction Theory
Abramowitz, J. S. (2013) · Behavior Therapy · doi:10.1016/j.beth.2013.03.003 · Cited by 218 · see citing works
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214 · see citing works
Self-citationRisk for mania and positive emotional responding: Too much of a good thing?
Gruber, J., Johnson, S. L., Oveis, C., & Keltner, D. J. (2008) · Emotion · doi:10.1037/1528-3542.8.1.23 · Cited by 214 · see citing works
Delineation of the middle longitudinal fascicle in humans: A quantitative, in vivo, DT-MRI study
Makris, N., Papadimitriou, G. M., Kaiser, J. R., Sorg, S., Kennedy, D. N., & Pandya, D. N. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn124 · Cited by 214 · see citing works
Joormann, J., Levens, S. M., & Gotlib, I. H. (2011) · Psychological Science · doi:10.1177/0956797611415539 · Cited by 209 · see citing works
Social-Cognitive Deficits in Normal Aging
Moran, J. M., Jolly, E., & Mitchell, J. P. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5511-11.2012 · Cited by 206 · see citing works
A dissociation between social mentalizing and general reasoning
Overwalle, F. V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.043 · Cited by 205 · see citing works
Self-reflection and the temporal focus of the wandering mind
Smallwood, J., Schooler, J. W., Turk, D. J., Cunningham, S. J., Burns, P., & Macrae, C. N. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2010.12.017 · Cited by 202 · see citing works
Self-citationDoes lateral parietal cortex support episodic memory?
Davidson, P. S. R., Anaki, D., Ciaramelli, E., Cohn, M., Kim, A. S. N., Murphy, K. J., Troyer, A. K., Moscovitch, M., & Levine, B. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.01.011 · Cited by 197 · see citing works
The brain's default network: origins and implications for the study of psychosis
Buckner, R. L. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/rbuckner · Cited by 196 · see citing works
The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition
Diaz, B. A., Van Der Sluis, S., Moens, S., Benjamins, J. S., Migliorati, F., Stoffers, D., Den Braber, A., Poil, S.-S., Hardstone, R., Van't Ent, D., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00446 · Cited by 194 · see citing works
Flagged first, then by citations
7 of the 260 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Saxe R., 2010, Handbook of Theory of Mind
Cited by
Sorted by citations
Interoceptive predictions in the brain
Barrett, L. F., & Simmons, W. K. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3950 · Cited by 1,766 · see citing works
The Science of Mind Wandering: Empirically Navigating the Stream of Consciousness
Smallwood, J., & Schooler, J. W. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015331 · Cited by 1,685 · see citing works
Self-citationMind-wandering as spontaneous thought: a dynamic framework
Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Andrews-Hanna, J. R. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.113 · Cited by 1,376 · see citing works
Self-citationThe brain’s default network: updated anatomy, physiology and evolving insights
Buckner, R. L., & DiNicola, L. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0212-7 · Cited by 1,058 · see citing works
Creative Cognition and Brain Network Dynamics
Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.004 · Cited by 1,105 · see citing works
The default mode network in cognition: a topographical perspective
Smallwood, J., Bernhardt, B. C., Leech, R., Bzdok, D., Jefferies, E., & Margulies, D. S. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00474-4 · Cited by 935 · see citing works
Self-citationPalmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., Blennow, K., Landau, S., Jagust, W., & Hansson, O. (2017) · Nature Communications · doi:10.1038/s41467-017-01150-x · Cited by 911 · see citing works
Resting-state functional connectivity in major depressive disorder: A review
Mulders, P. C., van Eijndhoven, P. F., Schene, A. H., Beckmann, C. F., & Tendolkar, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.014 · Cited by 884 · see citing works
Towards a universal taxonomy of macro-scale functional human brain networks
Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683 · see citing works
Self-citationEmotion and the prefrontal cortex: an integrative review
Dixon, M. L., Thiruchselvam, R., Todd, R., & Christoff, K. (2017) · Psychological Bulletin · doi:10.1037/bul0000096 · Cited by 745 · see citing works
Default and executive network coupling supports creative idea production
Beaty, R. E., Benedek, M., Barry Kaufman, S., & Silvia, P. J. (2015) · Scientific Reports · doi:10.1038/srep10964 · Cited by 705 · see citing works
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.039 · Cited by 690 · see citing works
Self-citationSpreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668 · see citing works
Self-citationDynamic reconfiguration of the default mode network during narrative comprehension
Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016) · Nature Communications · doi:10.1038/ncomms12141 · Cited by 588 · see citing works
Schurz, M., Raduà, J., Tholen, M. G., Maliske, L., Margulies, D. S., Mars, R. B., Sallet, J., & Kanske, P. (2020) · Psychological Bulletin · doi:10.1037/bul0000303 · Cited by 642 · see citing works
Zhou, H.-X., Chen, X., Shen, Y.-Q., Li, L., Chen, N.-X., Zhu, Z.-C., Castellanos, F. X., & Yan, C.-G. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116287 · Cited by 656 · see citing works
Dixon, M. L., De La Vega, A., Mills, C., Andrews-Hanna, J., Spreng, R. N., Cole, M. W., & Christoff, K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715766115 · Cited by 595 · see citing works
Self-citationKucyi, A., & Davis, K. D. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2014.11.006 · Cited by 587 · see citing works
A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition
Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417144111 · Cited by 539 · see citing works
Self-citationDynamic Resting-State Functional Connectivity in Major Depression
Kaiser, R. H., Whitfield-Gabrieli, S., Dillon, D. G., Goer, F., Beltzer, M., Minkel, J., Smoski, M., Dichter, G., & Pizzagalli, D. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.352 · Cited by 438 · see citing works
Pfeifer, J. H., & Allen, N. B. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.002 · Cited by 411 · see citing works
Atzil, S., Gao, W., Fradkin, I., & Barrett, L. F. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0384-6 · Cited by 415 · see citing works
Imaging suicidal thoughts and behaviors: a comprehensive review of 2 decades of neuroimaging studies
Schmaal, L., van Harmelen, A.-L., Chatzi, V., Lippard, E. T. C., Toenders, Y. J., Averill, L. A., Mazure, C. M., & Blumberg, H. P. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0587-x · Cited by 373 · see citing works
Benoit, R. G., & Schacter, D. L. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.06.034 · Cited by 366 · see citing works
Brain default-mode network dysfunction in addiction
Zhang, R., & Volkow, N. D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.036 · Cited by 365 · see citing works
Default Mode Dynamics for Global Functional Integration
Vatansever, D., Menon, D. K., Manktelow, A. E., Sahakian, B. J., & Stamatakis, E. A. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2135-15.2015 · Cited by 333 · see citing works
The role of the medial prefrontal cortex in cognition, ageing and dementia
Jobson, D. D., Hase, Y., Clarkson, A. N., & Kalaria, R. N. (2021) · Brain Communications · doi:10.1093/braincomms/fcab125 · Cited by 338 · see citing works
Andrews-Hanna, J. R., Saxe, R., & Yarkoni, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.032 · Cited by 313 · see citing works
Self-citationDefault mode contributions to automated information processing
Vatansever, D., Menon, D. K., & Stamatakis, E. A. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710521114 · Cited by 281 · see citing works
Brain system for mental orientation in space, time, and person
Peer, M., Salomon, R., Goldberg, I., Blanke, O., & Arzy, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504242112 · Cited by 278 · see citing works
Wang, P., Kong, R., Kong, X., Liégeois, R., Orbán, C., Deco, G., van den Heuvel, M. P., & Yeo, B. T. T. (2019) · Science Advances · doi:10.1126/sciadv.aat7854 · Cited by 246 · see citing works
Herbet, G., & Duffau, H. (2020) · Physiological Reviews · doi:10.1152/physrev.00033.2019 · Cited by 299 · see citing works
Brain correlates of hypnosis: A systematic review and meta-analytic exploration
Landry, M., Lifshitz, M., & Raz, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.020 · Cited by 295 · see citing works
Cross-species functional alignment reveals evolutionary hierarchy within the connectome
Xu, T., Nenning, K.-H., Schwartz, E., Hong, S.-J., Vogelstein, J. T., Goulas, A., Fair, D. A., Schroeder, C. E., Margulies, D. S., Smallwood, J., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117346 · Cited by 266 · see citing works
Self-citationRecent theoretical, neural, and clinical advances in sustained attention research
Fortenbaugh, F. C., Degutis, J. M., & Esterman, M. S. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13318 · Cited by 273 · see citing works
The Shifting Architecture of Cognition and Brain Function in Older Adulthood
Spreng, R. N., & Turner, G. R. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619827511 · Cited by 247 · see citing works
Self-citationDong, H.-M., Margulies, D. S., Zuo, X., & Holmes, A. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2024448118 · Cited by 240 · see citing works
Nash Unsworth, A., & Robison, M. K. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1220-5 · Cited by 255 · see citing works
The neuroscience of musical improvisation
Beaty, R. E. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.004 · Cited by 261 · see citing works
Towards a comprehensive understanding of anesthetic mechanisms of action: a decade of discovery
Hemmings, H. C., Riegelhaupt, P. M., Kelz, M. B., Solt, K., Eckenhoff, R. G., Orser, B. A., & Goldstein, P. A. (2019) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2019.05.001 · Cited by 244 · see citing works
A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance
Dehais, F., Lafont, A., Roy, R. N., & Fairclough, S. H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00268 · Cited by 268 · see citing works
How the brain connects in response to acute stress: A review at the human brain systems level
van Oort, J., Tendolkar, I., Hermans, E. J., Mulders, P. C. R., Beckmann, C. F., Schene, A. H., Fernández, G., & van Eijndhoven, P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.10.015 · Cited by 249 · see citing works
Interventions and Manipulations of Interoception
Weng, H. Y., Feldman, J. L., Leggio, L., Napadow, V., Park, J., & Price, C. J. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.09.010 · Cited by 250 · see citing works
Smigielski, L., Scheidegger, M., Kometer, M., & Vollenweider, F. X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.009 · Cited by 248 · see citing works
Dixon, M. L., Andrews‐Hanna, J. R., Spreng, R. N., Irving, Z. C., Mills, C., Girn, M., & Kalina Christoff, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.073 · Cited by 228 · see citing works
Self-citationDefault Mode Network Modulation by Psychedelics: A Systematic Review
Gattuso, J. J., Perkins, D., Ruffell, S., Lawrence, A. J., Hoyer, D., Jacobson, L. H., Timmermann, C., Castle, D., Rossell, S. L., Downey, L. A., et al. (2023) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyac074 · Cited by 256 · see citing works
Parallel distributed networks dissociate episodic and social functions within the individual
DiNicola, L. M., Braga, R. M., & Buckner, R. L. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00529.2019 · Cited by 218 · see citing works
Attention Restoration Theory: Exploring the Role of Soft Fascination and Mental Bandwidth
Basu, A. S., Duvall, J., & Kaplan, R. (2018) · Environment and Behavior · doi:10.1177/0013916518774400 · Cited by 247 · see citing works
Northoff, G., & Huang, Z. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.07.013 · Cited by 229 · see citing works
Neurobiology of loneliness: a systematic review
Lam, J., Murray, E. R., Yu, K. E., Ramsey, M., Nguyen, T. T., Mishra, J., Martis, B., Thomas, M. L., & Lee, E. E. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01058-7 · Cited by 196 · see citing works
The default network of the human brain is associated with perceived social isolation
Spreng, R. N., Dimas, E., Mwilambwe-Tshilobo, L., Dagher, A., Koellinger, P., Nave, G., Ong, A., Kernbach, J. M., Wiecki, T. V., Ge, T., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20039-w · Cited by 236 · see citing works
Self-citationVoss, M. W., Weng, T. B., Burzynska, A. Z., Wong, C. N., Cooke, G. E., Clark, R., Fanning, J. T., Salerno, E. A., Gothe, N. P., Olson, E. A., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.044 · Cited by 218 · see citing works
Cannabis and the Developing Brain: Insights into Its Long-Lasting Effects
Hurd, Y. L., Manzoni, O. J., Pletnikov, M. V., Lee, F. S., Bhattacharyya, S., & Melis, M. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1165-19.2019 · Cited by 218 · see citing works
Du, Y., Pearlson, G. D., Yu, Q., He, H., Lin, D., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Wu, L., & Calhoun, V. D. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.11.021 · Cited by 209 · see citing works
Humphreys, G. F., Hoffman, P., Visser, M., Binney, R. J., & Ralph, M. A. L. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422760112 · Cited by 178 · see citing works
MTAC, Wilson, R. P., Colizzi, M., Bossong, M. G., Allen, P., Kempton, M. J., & Bhattacharyya, S. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9385-5 · Cited by 186 · see citing works
Beaty, R. E., Christensen, A. P., Benedek, M., Silvia, P. J., & Schacter, D. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.012 · Cited by 204 · see citing works
Konishi, M., McLaren, D. G., Engen, H., & Smallwood, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0132209 · Cited by 194 · see citing works
Self-citationModels of psychedelic drug action: modulation of cortical-subcortical circuits
Doss, M. K., Madden, M. B., Gaddis, A., Nebel, M. B., Griffiths, R. R., Mathur, B. N., & Barrett, F. S. (2021) · Brain · doi:10.1093/brain/awab406 · Cited by 198 · see citing works
Neural responses to heartbeats in the default network encode the self in spontaneous thoughts
Babo-Rebelo, M., Richter, C. G., & Tallon-Baudry, C. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0262-16.2016 · Cited by 207 · see citing works
Beaty, R. E., Kaufman, S. B., Benedek, M., Jung, R. E., Kenett, Y. N., Jauk, E., Neubauer, A. C., & Silvia, P. J. (2015) · Human Brain Mapping · doi:10.1002/hbm.23065 · Cited by 196 · see citing works
Stawarczyk, D., & D'Argembeau, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22818 · Cited by 188 · see citing works
A Cybernetic Theory of Psychopathology
DeYoung, C. G., & Krueger, R. F. (2018) · Psychological Inquiry · doi:10.1080/1047840x.2018.1513680 · Cited by 198 · see citing works
Brain Mechanisms of the Placebo Effect: An Affective Appraisal Account
Ashar, Y. K., Chang, L. J., & Wager, T. D. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093015 · Cited by 191 · see citing works
The role of the default mode network in component processes underlying the wandering mind
Poerio, G. L., Sormaz, M., Wang, H.-T., Margulies, D. S., Jefferies, E., & Smallwood, J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx041 · Cited by 184 · see citing works
Self-citationTurner, G. R., & Spreng, R. N. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00869 · Cited by 172 · see citing works
Self-citationZhou, Y., Friston, K. J., Zeidman, P., Chen, J., Li, S., & Razi, A. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx307 · Cited by 165 · see citing works
Dynamic network interactions supporting internally-oriented cognition
Zabelina, D. L., & Andrews‐Hanna, J. R. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.06.014 · Cited by 175 · see citing works
Self-citationEffects of Sad and Happy Music on Mind-Wandering and the Default Mode Network
Taruffi, L., Pehrs, C., Skouras, S., & Koelsch, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-14849-0 · Cited by 172 · see citing works
McCormick, C., Ciaramelli, E., Luca, F. D., & Maguire, E. A. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.066 · Cited by 159 · see citing works
Yang, L., Yan, Y., Wang, Y., Hu, X., Lu, J., Chan, P., Yan, T., & Han, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00975 · Cited by 182 · see citing works
Beaty, R. E., Chen, Q., Christensen, A. P., Qiu, J., Silvia, P. J., & Schacter, D. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23884 · Cited by 175 · see citing works
Brain Networks Subserving Emotion Regulation and Adaptation after Mild Traumatic Brain Injury
van der Horn, H. J., Liemburg, E. J., Aleman, A., Spikman, J. M., & van der Naalt, J. (2015) · Journal of Neurotrauma · doi:10.1089/neu.2015.3905 · Cited by 177 · see citing works
Goal-congruent default network activity facilitates cognitive control
Spreng, R. N., DuPre, E., Selarka, D., Garcia, J., Gojkovic, S., Mildner, J., Luh, W.-M., & Turner, G. R. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2815-14.2014 · Cited by 167 · see citing works
Self-citationChang, L. J., Jolly, E., Cheong, J. H., Rapuano, K. M., Greenstein, N., Chen, P.-H. A., & Manning, J. R. (2021) · Science Advances · doi:10.1126/sciadv.abf7129 · Cited by 174 · see citing works
Brain mechanisms associated with internally directed attention and self-generated thought
Benedek, M., Jauk, E., Beaty, R. E., Fink, A., Koschutnig, K., & Neubauer, A. C. (2016) · Scientific Reports · doi:10.1038/srep22959 · Cited by 175 · see citing works
Three distinct sets of connector hubs integrate human brain function
Gordon, E. M., Lynch, C. J., Gratton, C., Laumann, T. O., Gilmore, A. W., Greene, D. J., Ortega, M., Nguyen, A. L., Schlaggar, B. L., Petersen, S. E., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.050 · Cited by 149 · see citing works
Gvirts, H. Z., & Perlmutter, R. (2019) · The Neuroscientist · doi:10.1177/1073858419861912 · Cited by 166 · see citing works
The brain on silent: mind wandering, mindful awareness, and states of mental tranquility
Vago, D. R., & Zeidan, F. Z. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13171 · Cited by 159 · see citing works
Spontaneous Thought and Vulnerability to Mood Disorders: The Dark Side of the Wandering Mind
Marchetti, I., Koster, E. H. W., Klinger, E., & Alloy, L. B. (2016) · Clinical Psychological Science · doi:10.1177/2167702615622383 · Cited by 165 · see citing works
Sonuga-Barke, E. J. S., Cortese, S., Fairchild, G. F., & Stringaris, A. K. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12496 · Cited by 167 · see citing works
Smallwood, J., Karapanagiotidis, T., Ruby, F., Medea, B., de Caso, I., Konishi, M., Wang, H.-T., Hallam, G., Margulies, D. S., & Jefferies, E. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152272 · Cited by 165 · see citing works
Self-citationA tripartite view of the posterior cingulate cortex
Foster, B. L., Koslov, S. R., Aponik-Gremillion, L., Monko, M. E., Hayden, B. Y., & Heilbronner, S. R. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00661-x · Cited by 150 · see citing works
Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain
Barnett, A. J., Reilly, W., Dimsdale-Zucker, H. R., Mızrak, E., Reagh, Z. M., & Ranganath, C. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001275 · Cited by 163 · see citing works
What’s in a word? How instructions, suggestions, and social information change pain and emotion
Koban, L., Jepma, M., Geuter, S., & Wager, T. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.014 · Cited by 155 · see citing works
Murphy, C., Wang, H.-T., Konu, D., Lowndes, R., Margulies, D. S., Jefferies, E., & Smallwood, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.009 · Cited by 124 · see citing works
Self-citationThe Link Between Creativity, Cognition, and Creative Drives and Underlying Neural Mechanisms
Khalil, R., Godde, B., & Karim, A. A. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2019.00018 · Cited by 154 · see citing works
Tracking thoughts: Exploring the neural architecture of mental time travel during mind-wandering
Karapanagiotidis, T., Bernhardt, B. C., Jefferies, E., & Smallwood, J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.031 · Cited by 135 · see citing works
Self-citationTwo distinct scene processing networks connecting vision and memory
Baldassano, C., Esteva, A., Fei-Fei, L., & Beck, D. M. (2016) · eneuro · doi:10.1523/eneuro.0178-16.2016 · Cited by 144 · see citing works
Mind-Wandering in People with Hippocampal Damage
McCormick, C., Rosenthal, C. R., Miller, T. D., & Maguire, E. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1812-17.2018 · Cited by 142 · see citing works
Does Consciousness Disappear in Dreamless Sleep?
Windt, J., Nielsen, T., & Thompson, E. T. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.006 · Cited by 143 · see citing works
Distinct subdivisions of human medial parietal cortex support recollection of people and places
Silson, E. H., Steel, A., Kidder, A., Gilmore, A. W., & Baker, C. I. (2019) · eLife · doi:10.7554/elife.47391 · Cited by 123 · see citing works
Increasing propensity to mind-wander with transcranial direct current stimulation
Axelrod, V., Rees, G. E., Michal Lavidor, B., & Bar, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421435112 · Cited by 143 · see citing works
Distracted and down: neural mechanisms of affective interference in subclinical depression
Kaiser, R. H., Andrews-Hanna, J. R., Spielberg, J. M., Warren, S. L., Sutton, B. P., Miller, G. A., Heller, W., & Banich, M. T. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu100 · Cited by 147 · see citing works
Self-citationThe neurobiology of human fear generalization: meta-analysis and working neural model
Webler, R. D., Berg, H. E., Fhong, K., Tuominen, L. J., Holt, D. J., Morey, R. A., Lange, I., Burton, P. C., Fullana, M. A., Raduà, J., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.035 · Cited by 148 · see citing works
Neurophysiological and behavioural markers of compassion
Kim, J. J., Parker, S. L., Doty, J. R., Cunnington, R., Gilbert, P., & Kirby, J. N. (2020) · Scientific Reports · doi:10.1038/s41598-020-63846-3 · Cited by 147 · see citing works
Flexible Redistribution in Cognitive Networks
Hartwigsen, G. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.05.008 · Cited by 132 · see citing works
Ng, S. K., Urquhart, D. M., Fitzgerald, P. B., Cicuttini, F., Hussain, S. M., & Fitzgibbon, B. M. (2017) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000534 · Cited by 145 · see citing works
Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking
Madore, K. P., Thakral, P. P., Beaty, R. E., Addis, D. R., & Schacter, D. L. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhx312 · Cited by 137 · see citing works
- Authors
- Andrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N.
- Affiliations
- University of Colorado Boulder (US)
- University of York (GB)
- Cornell University (US)
- Corresponding author
- Andrews‐Hanna, Jessica R.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2014-02-06
- Volume
- 1316
- Issue
- 1
- Pages
- 29-52
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- PMC
- PMC4039623
- OpenAlex
- W2135176444
- Cited by
- 2,102
- References
- 260
- Citations by year
- 2026: 196 · 2025: 204 · 2024: 168 · 2023: 182 · 2022: 220 · 2021: 252 · 2020: 226 · 2019: 172 · 2018: 157 · 2017: 144 · 2016: 96 · 2015: 62 · 2014: 21 · 2012: 1
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (F32MH093985)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Keywords
- default mode network, self-generated thought, executive function, network dynamics, clinical relevance
- MeSH terms
- Brain, Cognition, Humans, Mental Processes, Models, Biological, Nerve Net, Thinking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-04.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-04.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review