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Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition
Open accessAbstract
Tasks that demand externalized attention reliably suppress default network activity while activating the dorsal attention network. These networks have an intrinsic competitive relationship; activation of one suppresses activity of the other. Consequently, many assume that default network activity is suppressed during goal-directed cognition. We challenge this assumption in an fMRI study of planning. Recent studies link default network activity with internally focused cognition, such as imagining personal future events, suggesting a role in autobiographical planning. However, it is unclear how goal-directed cognition with an internal focus is mediated by these opposing networks. A third anatomically interposed 'frontoparietal control network' might mediate planning across domains, flexibly coupling with either the default or dorsal attention network in support of internally versus externally focused goal-directed cognition, respectively. We tested this hypothesis by analyzing brain activity during autobiographical versus visuospatial planning. Autobiographical planning engaged the default network, whereas visuospatial planning engaged the dorsal attention network, consistent with the anti-correlated domains of internalized and externalized cognition. Critically, both planning tasks engaged the frontoparietal control network. Task-related activation of these three networks was anatomically consistent with independently defined resting-state functional connectivity MRI maps. Task-related functional connectivity analyses demonstrate that the default network can be involved in goal-directed cognition when its activity is coupled with the frontoparietal control network. Additionally, the frontoparietal control network may flexibly couple with the default and dorsal attention networks according to task domain, serving as a cortical mediator linking the two networks in support of goal-directed cognitive processes.
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“For example, the default and control networks show cooperation during autobiographical future planning—constructing a detailed and sequential mental representation about a future goal state [10, 19, 24].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [10]
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“We propose that creative thought involves similar cognitive and neural mechanisms as other forms of goal-directed, self-generated cognition (e.g., autobiographical future planning; [10, 19, 24]).”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [10]
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“In this context, the control network may modify and direct self-generated thoughts to meet the demands of task-specific goals [10–11, 20].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [10]
In the citing paper
“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”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [162]
In the citing paper
“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.”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [162]
In the citing paper
“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.”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [162]
In the citing paper
“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.”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [162]
In the citing paper
“Such findings fit with the notion that brain networks functionally couple and uncouple as required by task demands, and a number of studies report connectivity between DMN and frontoparietal control network as the need for flexible or creative thinking increases (e.g., Beaty, Benedek, Barry Kaufman, & Silvia, 2015;Roberts & Addis, 2018;Spreng, Stevens, Chamberlain, Gilmore, & Schacter, 2010).”
From Mental Time Travel? A Neurocognitive Model of Event Simulation. (2020) · cites this paper as Spreng, Stevens, Chamberlain, Gilmore, & Schacter, 2010
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Citations
Cites
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
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
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
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
Self-citationThe 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
Higgins, E. T. (1997) · American Psychologist · doi:10.1037/0003-066x.52.12.1280 · Cited by 6,775
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
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
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
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
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Chiou, R. Y.-C., Humphreys, G. F., & Ralph, M. A. L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa130 · Cited by 49
Smith, R. S., Steklis, H. D., Steklis, N. G., Weihs, K. L., & Lane, R. D. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107925 · Cited by 47
Blondé, P., Girardeau, J.-C., Sperduti, M., & Piolino, P. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.015 · Cited by 55
Functional Interactions Between Large-Scale Networks During Memory Search
Kragel, J. E., & Polyn, S. M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht258 · Cited by 49
Pu, W., Luo, Q., Palaniyappan, L. K., Xue, Z., Yao, S., Feng, J., & Liu, Z. (2016) · Psychological Medicine · doi:10.1017/s0033291715002755 · Cited by 48
Dermody, N., Hornberger, M., Piguet, O., Hodges, J. R., & Irish, M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150871 · Cited by 51
Addis, D. R., Moloney, E. E. J., Tippett, L. J., Roberts, R. P., & Hach, S. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.05.025 · Cited by 48
Schmidt, E. L., Burge, W. K., Visscher, K., & Ross, L. A. (2015) · Neuropsychology · doi:10.1037/neu0000242 · Cited by 52
Stern, E. R., Muratore, A. F., Taylor, S. F., Abelson, J. L., Hof, P. R., & Goodman, W. K. (2016) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2016.08.006 · Cited by 50
Alderson, T. H., Bokde, A. L. W., Kelso, J. A. S., Maguire, L., & Coyle, D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.033 · Cited by 46
Organizing principles of whole-brain functional connectivity in zebrafish larvae
Betzel, R. F. (2020) · Network Neuroscience · doi:10.1162/netn_a_00121 · Cited by 52
Prefrontal contributions to the stability and variability of thought and conscious experience
Zamani, A., Carhart-Harris, R. L., & Kalina Christoff, A. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01147-7 · Cited by 49
Demblon, J., Bahri, M. A., & D'Argembeau, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.062 · Cited by 43
Petrican, R., Taylor, M. J., & Grady, C. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.025 · Cited by 43
Shared neural processes support semantic control and action understanding
Davey, J., Rueschemeyer, S., Costigan, A. G., Murphy, N., Krieger‐Redwood, K., Hallam, G., & Jefferies, E. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.01.002 · Cited by 48
Grady, C. L., Siebner, H. R., Hornbøll, B., Macoveanu, J., Paulson, O. B., & Knudsen, G. M. (2012) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.06.003 · Cited by 47
Carbonell, F., Nagano‐Saito, A., Leyton, M., Cisek, P., Benkelfat, C., Yong He, A., & Dagher, A. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.12.021 · Cited by 47
Age differences in default and reward networks during processing of personally relevant information
Grady, C. L., Grigg, O., & Ng, C. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.03.024 · Cited by 48
Whole-Brain Functional Dynamics Track Depressive Symptom Severity
Goodman, Z. T., Bainter, S. A., Kornfeld, S., Chang, C., Nomi, J. S., & Uddin, L. Q. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab047 · Cited by 46
Lesion network mapping demonstrates that mind-wandering is associated with the default mode network
Philippi, C. L., Bruss, J., Boes, A. D., Albazron, F. M., Deifelt Streese, C., Ciaramelli, E., Rudrauf, D., & Tranel, D. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24648 · Cited by 45
Vortmann, L.-M., Ceh, S. M., & Putze, F. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.780580 · Cited by 45
Martínez‐Garcia, M., Paternina-Die, M., Cárdenas, S. I., Vilarroya, Ó., Desco, M., Carmona, S., & Saxbe, D. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac333 · Cited by 53
Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective
Chen, M., Han, J., Hu, X., Jiang, X., Guo, L., & Liu, T. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9238-z · Cited by 48
Zhang, H., Wei, X., Tao, H., Mwansisya, T. E., Pu, W., He, Z., Hu, A., Xu, L., Liu, Z., Shan, B., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063477 · Cited by 45
Branzi, F. M., Humphreys, G. F., Hoffman, P., & Ralph, M. A. L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116802 · Cited by 47
Farahibozorg, S.-R., Henson, R. N., Woollams, A. M., & Hauk, O. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab501 · Cited by 48
Default mode network engagement beyond self-referential internal mentation
Vatansever, D., Manktelow, A., Sahakian, B. J., Menon, D. K., & Stamatakis, E. A. (2018) · Brain Connectivity · doi:10.1089/brain.2017.0489 · Cited by 42
The Impact of Mindfulness-Based Interventions on Brain Functional Connectivity: a Systematic Review
Melis, M., Schroyen, G., Pollefeyt, J., Raes, F., Smeets, A., Sunaert, S. G., Deprez, S., & der Gucht, K. V. (2022) · Mindfulness · doi:10.1007/s12671-022-01919-2 · Cited by 43
Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective
Cushnie, A. K., Tang, W., & Heilbronner, S. R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24109083 · Cited by 47
Gordon, E. M., Stollstorff, M., Devaney, J. M., Bean, S. E., & Vaidya, C. J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr305 · Cited by 44
A step-by-step tutorial on using the cognitive architecture ACT-R in combination with fMRI data
Borst, J. P., & Anderson, J. R. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.05.005 · Cited by 43
Lateral prefrontal cortex lesion impairs regulation of internally and externally directed attention
Kam, J. W. Y., Solbakk, A., Endestad, T., Meling, T. R., & Knight, R. T. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.063 · Cited by 41
Oxytocin Modulates the Intrinsic Dynamics Between Attention-Related Large-Scale Networks
Xin, F., Zhou, F., Zhou, X., Ma, X., Geng, Y., Zhao, W., Yao, S., Dong, D., Biswal, B. B., Kendrick, K. M., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy295 · Cited by 39
Rawls, E., Kummerfeld, E., & Zilverstand, A. (2021) · Communications Biology · doi:10.1038/s42003-021-01955-z · Cited by 45
Mind-wandering: mechanistic insights from lesion, tDCS, and iEEG
Kam, J. W. Y., Mittner, M., & Knight, R. T. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.12.005 · Cited by 44
Prefrontal Cortex in Decision-Making
Fuster, J. M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00008-7 · Cited by 48
Phenomenal Variability and Introspective Reliability
Hohwy, J. (2011) · Mind & Language · doi:10.1111/j.1468-0017.2011.01418.x · Cited by 49
Frontal-posterior coherence and cognitive function in older adults
Fleck, J. I., Kuti, J., Brown, J. E., Mahon, J. R., & Gayda-Chelder, C. A. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.07.501 · Cited by 44
Dodich, A., Zollo, M., Crespi, C., Cappa, S. F., Martinez, D. L., Falini, A., & Canessa, N. (2018) · Brain and Behavior · doi:10.1002/brb3.1159 · Cited by 46
The dynamic reorganization of the default-mode network during a visual classification task
Gao, W., Gilmore, J. H., Alcauter, S., & Lin, W. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00034 · Cited by 43
BOLD signal changes can oppose oxygen metabolism across the human cortex
Epp, S. M., Castrillón, G., Yuan, B., Andrews-Hanna, J., Preibisch, C., & Riedl, V. (2026) · Nature Neuroscience · doi:10.1038/s41593-025-02132-9 · Cited by 41
Network assemblies in the functional brain
Sepulcre, J., Sabuncu, M. R., & Johnson, K. A. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328355a8e8 · Cited by 42
Bridging Token Identity Theory and Supervenience Theory Through Psychological Construction
Barrett, L. F. (2011) · Psychological Inquiry · doi:10.1080/1047840x.2011.555216 · Cited by 41
The neural basis of monitoring goal progress
Benn, Y., Webb, T. L., Chang, B. P. I., Sun, Y.-H., Wilkinson, I. D., & Farrow, T. F. D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00688 · Cited by 43
Lois, G., Gerchen, M. F., Kirsch, P., Kanske, P., Schönfelder, S., & Wessa, M. (2017) · Bipolar Disorders · doi:10.1111/bdi.12512 · Cited by 40
Hsu, C. L., Voss, M. W., Best, J. R., Handy, T. C., Madden, K. M., Bolandzadeh, N., & Liu-Ambrose, T. Y. L. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00155 · Cited by 44
Shine, J. M., Mills, J. M. Z., Qiu, J. X., O’Callaghan, C., Terpening, Z., Halliday, G. M., Naismith, S. L., & Lewis, S. J. G. (2015) · Movement Disorders Clinical Practice · doi:10.1002/mdc3.12139 · Cited by 40
Kalenzaga, S., Sperduti, M., Anssens, A., Martinelli, P., Devauchelle, A.-D., Gallarda, T., Delhommeau, M., Lion, S., Amado, I., Krebs, M., et al. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00449 · Cited by 40
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Anderson, J. R., Lee, H. S., & Fincham, J. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.031 · Cited by 40
Sabbah, N., Authié, C., Sanda, N., Mohand‐Saïd, S., Sahel, J., Safran, A. B., Habas, C., & Amedi, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.056 · Cited by 39
Higher well-being is related to reduced affective reactivity to positive events in daily life.
Rueschkamp, J. M. G., Kuppens, P., Riediger, M., Blanke, E. S., & Brose, A. (2018) · Emotion · doi:10.1037/emo0000557 · Cited by 44
Lateral parietal cortex in the generation of behavior: Implications for apathy
Tumati, S., Martens, S., de Jong, B. M., & Aleman, A. (2018) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2018.12.003 · Cited by 40
Drowsiness or mind-wandering? Fluctuations in ocular parameters during attentional lapses
Stawarczyk, D., François, C., Wertz, J., & D’Argembeau, A. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107950 · Cited by 41
Callard, F. J., Smallwood, J., & Margulies, D. S. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00321 · Cited by 47
Becker, M., Repantis, D., Dresler, M., & Kühn, S. (2022) · Human Brain Mapping · doi:10.1002/hbm.25949 · Cited by 46
Self-similarity and recursion as default modes in human cognition
Fischmeister, F. P. S., Martins, M. J. D., Beisteiner, R., & Fitch, W. T. (2016) · Cortex · doi:10.1016/j.cortex.2016.08.016 · Cited by 43
Correlation between Traits of Emotion-Based Impulsivity and Intrinsic Default-Mode Network Activity
Zhao, J., Tomasi, D. G., Wiers, C. E., Kojori, E. S., Demiral, Ş. B., Zhang, Y., Volkow, N. D., & Wang, G. (2017) · Neural Plasticity · doi:10.1155/2017/9297621 · Cited by 42
Rest but busy: Aberrant resting‐state functional connectivity of triple network model in insomnia
Dong, X., Qin, H., Wu, T., Hu, H., Liao, K., Cheng, F., Gao, D., & Lei, X. (2018) · Brain and Behavior · doi:10.1002/brb3.876 · Cited by 38
Santarnecchi, E., Bianco, C. D., Sicilia, I., Momi, D., Lorenzo, G. D., Ferrone, S., Sprugnoli, G., Rossi, S., & Rossi, A. (2018) · Neural Plasticity · doi:10.1155/2018/3678534 · Cited by 39
The neural underpinnings of haptically guided functional grasping of tools: An fMRI study
Styrkowiec, P., Nowik, A. M., & Króliczak, G. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.043 · Cited by 39
The prefrontal cortex in the neurology clinic
Fuster, J. M. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00001-x · Cited by 47
Sleep to Internalizing Pathway in Young Adolescents (SIPYA): A proposed neurodevelopmental model
Akbar, S. A., Mattfeld, A. T., Laird, A. R., & McMakin, D. L. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104780 · Cited by 40
Perspective: causes and functional significance of temporal variations in attention control
Lenartowicz, A., Simpson, G. V., & Cohen, M. S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00381 · Cited by 38
Wen, X., Shu, Y., Qu, D., Wang, Y., Cui, Z., Zhang, X., & Chen, R. (2023) · BMC Medicine · doi:10.1186/s12916-023-02808-8 · Cited by 46
Cortical and subcortical brain alterations in Juvenile Absence Epilepsy
Tondelli, M., Vaudano, A. E., Ruggieri, A., & Meletti, S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.07.007 · Cited by 36
Westwater, M. L., Seidlitz, J., Diederen, K. M. J., Fischer, S. F., & Thompson, J. C. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.11.006 · Cited by 38
Attention Shifts Recruit the Monkey Default Mode Network
Arsenault, J. T., Caspari, N., Vandenberghe, R. R., & Vanduffel, W. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1111-17.2017 · Cited by 40
Klobušiaková, P., Mareček, R., Fousek, J., Výtvarová, E., & Rektorová, I. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180834 · Cited by 40
Dynamic task-linked switching between brain networks – A tri-network perspective
Shaw, S. B., McKinnon, M. C., Heisz, J. J., & Becker, S. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2021.105725 · Cited by 46
Aguilar, D. D., & McNally, J. M. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.05.005 · Cited by 40
Cognitive Neuroscience of Obsessive-Compulsive Disorder
Stern, E. R., & Taylor, S. F. (2014) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2014.05.004 · Cited by 40
Numan, R. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00323 · Cited by 41
Janes, A. C., Betts, J. M., Jensen, J. E., & Lukas, S. E. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.07.021 · Cited by 37
Dørum, E. S., Alnæs, D., Kaufmann, T., Richard, G., Lund, M. J., Tønnesen, S., Sneve, M. H., Mathiesen, N. C., Rustan, Ø. G., Gjertsen, Ø., et al. (2016) · Brain and Behavior · doi:10.1002/brb3.533 · Cited by 39
Scholastic performance and functional connectivity of brain networks in children
Chaddock‐Heyman, L., Weng, T. B., Kienzler, C., Erickson, K. I., Voss, M. W., Drollette, E. S., Raine, L. B., Kao, S., Hillman, C. H., & Kramer, A. F. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190073 · Cited by 41
EEG Resting-State Networks in Dementia with Lewy Bodies Associated with Clinical Symptoms
Aoki, Y., Kazui, H., Pascual-Marqui, R. D., Ishii, R., Yoshiyama, K., Kanemoto, H., Suzuki, Y., Sato, S., Hata, M., Canuet, L., et al. (2019) · Neuropsychobiology · doi:10.1159/000495620 · Cited by 38
Kim, H. (2020) · Brain Research · doi:10.1016/j.brainres.2020.147049 · Cited by 35
Differential contributions of static and time-varying functional connectivity to human behavior
Eichenbaum, A., Pappas, I., Lurie, D. J., Cohen, J. R., & D’Esposito, M. (2020) · Network Neuroscience · doi:10.1162/netn_a_00172 · Cited by 37
Age differences in the neural correlates of distraction regulation: A network interaction approach
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Sabbah, N., Sanda, N., Authié, C., Mohand‐Saïd, S., Sahel, J., Habas, C., Amedi, A., & Safran, A. B. (2017) · Scientific Reports · doi:10.1038/srep43223 · Cited by 38
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Andrews‐Hanna, J. R., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Kalina Christoff, A. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1704.02533 · Cited by 39
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Stocker, R., Khan, H., Henry, L. C., & Germain, A. (2017) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acx003 · Cited by 39
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Metadata
- Authors
- Spreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L.
- Affiliations
- Harvard University (US)
- Corresponding author
- Spreng, R. Nathan
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 53
- Issue
- 1
- Pages
- 303-317
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2914129
- OpenAlex
- W1998268694
- Cited by
- 1,256
- References
- 71
- Citations by year
- 2026: 75 · 2025: 99 · 2024: 75 · 2023: 74 · 2022: 79 · 2021: 87 · 2020: 93 · 2019: 87 · 2018: 98 · 2017: 82 · 2016: 85 · 2015: 86 · 2014: 87 · 2013: 57 · 2012: 47
- FWCI
- 27.74
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (MH060941)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- default mode network, dorsal attention network, frontoparietal network, goal-directed cognition, planning, resting-state functional connectivity, network coupling
- MeSH terms
- Adolescent, Adult, Attention, Cognition, Decision Making, Female, Frontal Lobe, Goals, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Parietal Lobe, Feedback, Physiological, Young Adult
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