The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 cited source says what the claim attributes to it.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 1,000
Shifting visual perspective during retrieval shapes autobiographical memories
St. Jacques, P. L., Szpunar, K. K., & Schacter, D. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.028 · Cited by 108
Self-citationEnhancing attention and memory during video-recorded lectures.
Schacter, D. L., & Szpunar, K. K. (2015) · Scholarship of Teaching and Learning in Psychology · doi:10.1037/stl0000011 · Cited by 112
Self-citationSheldon, S., & Moscovitch, M. (2011) · Hippocampus · doi:10.1002/hipo.20985 · Cited by 108
The Importance of the Default Mode Network in Creativity—A Structural MRI Study
Kühn, S., Ritter, S. M., Müller, B. C. N., van Baaren, R. B., Braß, M., & Dijksterhuis, A. (2013) · The Journal of Creative Behavior · doi:10.1002/jocb.45 · Cited by 110
Stange, J. P., Bessette, K. L., Jenkins, L. M., Peters, A. T., Feldhaus, C. G., Crane, N. A., Ajilore, O., Jacobs, R. H., Watkins, E. R., & Langenecker, S. A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23564 · Cited by 108
Stumme, J., Jockwitz, C., Hoffstaedter, F., Amunts, K., & Caspers, S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116756 · Cited by 112
Lückmann, H. C., Jacobs, H. I. L., & Sack, A. T. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.002 · Cited by 112
Shine, J. M., Muller, A. J., O’Callaghan, C., Hornberger, M., Halliday, G. M., & Lewis, S. J. (2015) · npj Parkinson's Disease · doi:10.1038/npjparkd.2015.3 · Cited by 106
Sestieri, C., Corbetta, M., Spadone, S., Romani, G. L., & Shulman, G. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00504 · Cited by 103
Rayner, G., Jackson, G., & Wilson, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.022 · Cited by 104
Koshino, H., Minamoto, T., Yaoi, K., Osaka, M., & Osaka, N. (2014) · Scientific Reports · doi:10.1038/srep05954 · Cited by 109
Two critical brain networks for generation and combination of remote associations
Bendetowicz, D., Urbanski, M., Garcin, B., Foulon, C., Lévy, R., Bréchemier, M.-L., Rosso, C., de Schotten, M. T., & Volle, E. (2017) · Brain · doi:10.1093/brain/awx294 · Cited by 112
Dhamala, E., Jamison, K. W., Jaywant, A., Dennis, S., & Kuceyeski, A. F. (2021) · Human Brain Mapping · doi:10.1002/hbm.25420 · Cited by 100
Lin, H.-Y., Tseng, W.-Y. I., Lai, M.-C., Matsuo, K., & Gau, S. S.-F. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771500020x · Cited by 102
Yang, Z., Craddock, R. C., Margulies, D. S., Yan, C., & Milham, M. P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.014 · Cited by 102
Behavioral and Neural Signatures of Working Memory in Childhood
Rosenberg, M. D., Martinez, S. A., Rapuano, K. M., Conley, M. I., Cohen, A. O., Cornejo, M. D., Hagler, D. J., Meredith, W. J., Anderson, K. M., Wager, T. D., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2841-19.2020 · Cited by 98
Kvavilashvili, L., & Rummel, J. (2020) · Review of General Psychology · doi:10.1177/1089268020918843 · Cited by 118
Electrophysiological markers of mind wandering: A systematic review
Kam, J. W. Y., Rahnuma, T., Park, Y. E., & Hart, C. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119372 · Cited by 102
Borst, J. P., & Anderson, J. R. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221572110 · Cited by 104
Kubit, B. M., & Jack, A. I. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00323 · Cited by 103
Episodic Memory Retrieval Benefits from a Less Modular Brain Network Organization
Westphal, A. J., Wang, S., & Rissman, J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2509-16.2017 · Cited by 95
Resting‐state functional connectivity MRI reveals active processes central to cognition
Stevens, W. D., & Spreng, R. N. (2014) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1275 · Cited by 108
Self-citationModulatory interactions between the default mode network and task positive networks in resting-state
Di, X., & Biswal, B. B. (2014) · PeerJ · doi:10.7717/peerj.367 · Cited by 105
Prediction of stimulus-independent and task-unrelated thought from functional brain networks
Kucyi, A., Esterman, M. S., Capella, J., Green, A., Uchida, M., Biederman, J., Gabrieli, J. D. E., Valera, E. M., & Whitfield, S. (2021) · Nature Communications · doi:10.1038/s41467-021-22027-0 · Cited by 99
The roles of the temporal lobe in creative insight: an integrated review
Shen, W., Yuan, Y., Liu, C., & Luo, J. (2017) · Thinking & Reasoning · doi:10.1080/13546783.2017.1308885 · Cited by 101
The balanced mind: the variability of task-unrelated thoughts predicts error monitoring
Allen, M. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00743 · Cited by 103
Leonardi, N., Shirer, W. R., Greicius, M. D., & Ville, D. V. D. (2014) · Human Brain Mapping · doi:10.1002/hbm.22599 · Cited by 96
Brain Network Reconfiguration and Perceptual Decoupling During an Absorptive State of Consciousness
Hove, M. J., Stelzer, J., Nierhaus, T., Thiel, S. D., Gundlach, C., Margulies, D. S., Van Dijk, K. R. A., Turner, R., Keller, P. E., & Merker, B. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv137 · Cited by 97
Xin, F., & Lei, X. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu160 · Cited by 95
Pathoconnectomics of cognitive impairment in small vessel disease: A systematic review
Dey, A., Stamenova, V., Turner, G. R., Black, S. E., & Levine, B. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.01.007 · Cited by 99
Wang, X., Margulies, D. S., Smallwood, J., & Jefferies, E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117074 · Cited by 100
Large-scale Probabilistic Functional Modes from resting state fMRI
Harrison, S. J., Woolrich, M. W., Robinson, E. C., Glasser, M. F., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.013 · Cited by 100
Han, K., Chapman, S. B., & Krawczyk, D. C. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715001393 · Cited by 103
Timing is everything: Age differences in the cognitive control network are modulated by time of day.
Anderson, J. A. E., Campbell, K. L., Amer, T., Grady, C. L., & Hasher, L. (2014) · Psychology and Aging · doi:10.1037/a0037243 · Cited by 101
Functional Brain Changes Following Cognitive and Motor Skills Training
Patel, R. R., Spreng, R. N., & Turner, G. R. (2012) · Neurorehabilitation and neural repair · doi:10.1177/1545968312461718 · Cited by 100
Self-citationRegression dynamic causal modeling for resting‐state fMRI
Frässle, S., Harrison, S. J., Heinzle, J., Clementz, B. A., Tamminga, C. A., Sweeney, J. A., Gershon, E. S., Keshavan, M. S., Pearlson, G. D., Powers, A. R., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25357 · Cited by 92
Gradients of neurotransmitter receptor expression in the macaque cortex
Froudist‐Walsh, S., Xu, T., Niu, M., Rapan, L., Zhao, L., Margulies, D. S., Zilles, K., Wang, X., & Palomero‐Gallagher, N. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01351-2 · Cited by 103
Sripada, C., Angstadt, M., Kessler, D. A., Phan, K. L., Liberzon, I., Evans, G. W., Welsh, R. C., Kim, P., & Swain, J. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.006 · Cited by 99
McKinnon, C., Eggebrecht, A. T., Todorov, A. A., Wolff, J. J., Elison, J. T., Adams, C. M., Snyder, A. Z., Estes, A. M., Zwaigenbaum, L., Botteron, K. N., et al. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.09.008 · Cited by 102
Deldar, Z., Gevers‐Montoro, C., Khatibi, A., & Saidi, L. G. (2020) · AIMS neuroscience · doi:10.3934/neuroscience.2021001 · Cited by 105
Brown, T. I., Gagnon, S. A., & Wagner, A. D. (2020) · Current Biology · doi:10.1016/j.cub.2020.03.006 · Cited by 97
Distributed Patterns of Reactivation Predict Vividness of Recollection
St‐Laurent, M., Abdi, H., & Buchsbaum, B. R. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00839 · Cited by 95
Stevens, W. D., Tessler, M. H., Peng, C. S., & Martin, A. D. (2015) · Human Brain Mapping · doi:10.1002/hbm.22764 · Cited by 95
Self-citationDefault Mode and Executive Networks Areas: Association with the Serial Order in Divergent Thinking
Heinonen, J., Numminen, J., Hlushchuk, Y., Antell, H., Taatila, V. P., & Suomala, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162234 · Cited by 95
Social Working Memory: Neurocognitive Networks and Directions for Future Research
Meyer, M. L., & Lieberman, M. D. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00571 · Cited by 99
Task-induced deactivation and the "resting" state
Binder, J. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.026 · Cited by 95
Apolipoprotein E (APOE) ε4 and episodic memory decline in Alzheimer’s disease: A review
Haj, M. E., Antoine, P., Amouyel, P., Lambert, J., Pasquier, F., & Kapogiannis, D. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.002 · Cited by 100
Bernhardt, B. C., Smallwood, J., Tusche, A., Ruby, F. J. M., Engen, H. G., Steinbeis, N., & Singer, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.040 · Cited by 93
Ovando‐Tellez, M., Benedek, M., Kenett, Y. N., Hills, T. T., Bouanane, S., Bernard, M., Belo, J., Bieth, T., & Volle, E. (2022) · Communications Biology · doi:10.1038/s42003-022-03547-x · Cited by 100
Santarnecchi, E., Emmendorfer, A. K., & Pascual‐Leone, Á. (2017) · Intelligence · doi:10.1016/j.intell.2017.04.008 · Cited by 95
EEG microstate features according to performance on a mental arithmetic task
Kim, K., Duc, N. T., Choi, M., & Lee, B. (2021) · Scientific Reports · doi:10.1038/s41598-020-79423-7 · Cited by 88
Neural changes associated with the generation of specific past and future events in depression
Hach, S., Tippett, L. J., & Addis, D. R. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.10.003 · Cited by 90
Age differences in the functional architecture of the human brain
Setton, R., Mwilambwe-Tshilobo, L., Girn, M., Lockrow, A. W., Baracchini, G., Hughes, C. S., Lowe, A. J., Cassidy, B. N., Li, J., Luh, W., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac056 · Cited by 94
Self-citationEffects of cranial electrotherapy stimulation on resting state brain activity
Feusner, J. D., Madsen, S. K., Moody, T. D., Bohon, C., Hembacher, E., Bookheimer, S. Y., & Bystritsky, A. (2012) · Brain and Behavior · doi:10.1002/brb3.45 · Cited by 90
Studying the default mode and its mindfulness-induced changes using EEG functional connectivity
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst153 · Cited by 87
Reinen, J., Chén, O. Y., Hutchison, R. M., Yeo, B. T. T., Anderson, K. M., Sabuncu, M. R., Öngür, D., Roffman, J. L., Smoller, J. W., Baker, J. T., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03462-y · Cited by 84
Frontal lobe neurology and the creative mind
de Souza, L. C., Guimarães, H. C., Teixeira, A. L., Caramelli, P., Levy, R., Dubois, B., & Volle, E. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00761 · Cited by 86
Cognitive Vulnerability to Major Depression
Wang, X., Öngür, D., Auerbach, R. P., & Yao, S. (2016) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000081 · Cited by 96
Sevinc, G., & Spreng, R. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087427 · Cited by 92
Self-citationRahrig, H., Vago, D. R., Passarelli, M., Auten, A., Lynn, N. A., & Brown, K. W. (2022) · Scientific Reports · doi:10.1038/s41598-022-15195-6 · Cited by 101
Internally Directed Attention in Creative Cognition
Benedek, M. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.011 · Cited by 89
Kessler, D., Angstadt, M., Welsh, R. C., & Sripada, C. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3156-14.2014 · Cited by 83
Repetition-related reductions in neural activity reveal component processes of mental simulation
Szpunar, K. K., St. Jacques, P. L., Robbins, C. A., Wig, G. S., & Schacter, D. L. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst035 · Cited by 79
“Moreover, recent studies have shown that regions not typically associated with the default network are commonly engaged by tasks such as autobiographical memory retrieval and future event simulation (Spreng et al., 2010; St. Jacques et al., 2011).”
Self-citationSpontaneous thought as an unconstrained memory process
Mildner, J. N., & Tamir, D. I. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.09.001 · Cited by 83
Shaw, E. E., Schultz, A. P., Sperling, R. A., & Hedden, T. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0327 · Cited by 82
Avelar‐Pereira, B., Bäckman, L., Wåhlin, A., Nyberg, L. H., & Salami, A. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00152 · Cited by 83
Thakral, P. P., Madore, K. P., Kalinowski, S. E., & Schacter, D. L. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2003535117 · Cited by 86
Self-citationNeuroimaging predictors of creativity in healthy adults
Sunavsky, A., & Poppenk, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116292 · Cited by 82
Chang, X., Shen, H., Wang, L., Liu, Z., Wei, X., Hu, D., & Miao, D. (2014) · Brain Research · doi:10.1016/j.brainres.2014.03.024 · Cited by 84
Differential recruitment of executive resources during mind wandering
Kam, J. W. Y., & Handy, T. C. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.03.002 · Cited by 91
Calster, L. V., D’Argembeau, A., Salmon, É., Peters, F., & Majerus, S. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01025 · Cited by 83
Shahbabaie, A., Ebrahimpoor, M., Hariri, A., Nitsche, M. A., Hatami, J., Fatemizadeh, E., Oghabian, M. A., & Ekhtiari, H. (2018) · Brain and Behavior · doi:10.1002/brb3.922 · Cited by 82
Berkovich‐Ohana, A., Glicksohn, J., Ben‐Soussan, T. D., & Goldstein, A. (2016) · Mindfulness · doi:10.1007/s12671-016-0649-y · Cited by 86
Johnson, E. L., Kam, J. W. Y., Tzovara, A., & Knight, R. T. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb7a5 · Cited by 80
Lao-Kaim, N. P., Fonville, L., Giampietro, V. P., Williams, S. C. R., Simmons, A., & Tchanturia, K. (2015) · PLOS ONE · doi:10.1371/journal.pone.0124027 · Cited by 79
van Rooij, D., Hartman, C. A., Mennes, M., Oosterlaan, J., Franke, B., Rommelse, N., Heslenfeld, D., Faraone, S. V., Buitelaar, J. K., & Hoekstra, P. J. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.01.004 · Cited by 89
Tao, J., Chen, X., Liu, J., Egorova, N., Xue, X., Liu, W., Zheng, G., Li, M., Wu, J., Hu, K., et al. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00514 · Cited by 78
Past Makes Future: Role of pFC in Prediction
Fuster, J. M., & Bressler, S. L. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00746 · Cited by 83
Aberrant Cerebellar Connectivity in Bipolar Disorder With Psychosis
Shinn, A. K., Roh, Y. S., Ravichandran, C. T., Baker, J. T., Öngür, D., & Cohen, B. M. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.07.002 · Cited by 78
Godwin, C. A., Hunter, M. A., Bezdek, M. A., Lieberman, G., Elkin-Frankston, S., Romero, V. L., Witkiewitz, K. A., Clark, V. P., & Schumacher, E. H. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.07.006 · Cited by 86
Franzmeier, N., Büerger, K., Teipel, S. J., Stern, Y., Dichgans, M., & Ewers, M. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.11.013 · Cited by 80
Jing, H. G., Madore, K. P., & Schacter, D. L. (2017) · Cognition · doi:10.1016/j.cognition.2017.08.010 · Cited by 76
Self-citationRakesh, D., Kelly, C. A. M., Vijayakumar, N., Zalesky, A., Allen, N. B., & Whittle, S. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.09.016 · Cited by 83
Functional anatomy of cortical areas characterized by Von Economo neurons
Cauda, F., Torta, D. M. E., Sacco, K., D’Agata, F., Geda, E., Duca, S., Geminiani, G. C., & Vercelli, A. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0382-9 · Cited by 77
Nitschke, K., Schumacher, L. V., Finkel, L., Weiller, C., & Kaller, C. P. (2016) · Human Brain Mapping · doi:10.1002/hbm.23368 · Cited by 88
Cortical hemodynamic changes during the Trier Social Stress Test: An fNIRS study
Rosenbaum, D., Hilsendegen, P., Thomas, M., Haeussinger, F. B., Metzger, F. G., Nuerk, H., Fallgatter, A. J., Nieratschker, V., & Ehlis, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.061 · Cited by 75
Is a Responsive Default Mode Network Required for Successful Working Memory Task Performance?
Čeko, M., Gracely, J. L., Fitzcharles, M., Seminowicz, D. A., Schweinhardt, P., & Bushnell, M. C. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0264-15.2015 · Cited by 75
Brain mechanisms underlying the effects of aging on different aspects of selective attention
Geerligs, L., Saliasi, E., Maurits, N. M., Renken, R. J., & Lorist, M. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.029 · Cited by 93
Emotion Regulation in Social Anxiety Disorder: Reappraisal and Acceptance of Negative Self-beliefs
Dixon, M. L., Moodie, C. A., Goldin, P. R., Farb, N. A. S., Heimberg, R. G., & Gross, J. J. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.07.009 · Cited by 75
Dong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015) · Scientific Reports · doi:10.1038/srep09197 · Cited by 76
The neural basis of motivational influences on cognitive control
Parro, C., Dixon, M. L., & Kalina Christoff, A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24348 · Cited by 76
Shen, X., Cox, S. R., Adams, M. J., Howard, D. M., Lawrie, S. M., Ritchie, S. J., Bastin, M. E., Deary, I. J., McIntosh, A. M., & Whalley, H. C. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.06.007 · Cited by 74
Schmaal, L., Goudriaan, A. E., Joos, L., Krüse, A. M., Dom, G., van den Brink, W., & Veltman, D. J. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.12.025 · Cited by 77
Rieck, J. R., Rodrigue, K. M., Boylan, M. A., & Kennedy, K. M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.022 · Cited by 81
The consciousness state space (CSS)—a unifying model for consciousness and self
Berkovich‐Ohana, A., & Glicksohn, J. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00341 · Cited by 79
Language in the brain at rest: new insights from resting state data and graph theoretical analysis
Muller, A. M., & Meyer, M. E. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00228 · Cited by 76
Paquola, C., Garber, M., Frässle, S., Royer, J., Zhou, Y., Tavakol, S., Rodríguez‐Cruces, R., Cabalo, D. G., Valk, S. L., Eickhoff, S. B., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-024-01868-0 · Cited by 98
Network connectivity abnormality profile supports a categorical‐dimensional hybrid model of ADHD
Elton, A., Alcauter, S., & Gao, W. (2014) · Human Brain Mapping · doi:10.1002/hbm.22492 · Cited by 77
Dynamics of Creativity and Empathy in Role Reversal: Contributions from Neuroscience
Yaniv, D. (2012) · Review of General Psychology · doi:10.1037/a0026580 · Cited by 81
Zhu, H., Zhou, P., Alcauter, S., Chen, Y., Cao, H., Tian, M., Ming, D., Qi, H., Wang, X., Zhao, X. W., et al. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/4/046008 · Cited by 71
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
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.
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
