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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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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]
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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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Fekson, V. K., Michaeli, T., Rosch, K. S., Schlaggar, B. L., & Horowitz‐Kraus, T. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101198 · Cited by 9
Brain Health in Sleep Disorders
Ji, K., & Yun, C. (2024) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2024.10.004 · Cited by 10
Semantic Integration Demands Modulate Large‐Scale Network Interactions in the Brain
Nieberlein, L., Martin, S., Williams, K. A., Gussew, A., Cyriaks, S. D., Scheer, M., Rampp, S., Prell, J., & Hartwigsen, G. (2024) · Human Brain Mapping · doi:10.1002/hbm.70113 · Cited by 9
Salience network resting-state functional connectivity predicts self-controlled decision-making
Stein, J., Korb, F. M., Goschke, T., & Zwosta, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-98673-x · Cited by 10
Construal level shifts integration and segregation of the brain network.
Stillman, P. E., Lu, Z., & Fujita, K. (2019) · Journal of Experimental Psychology General · doi:10.1037/xge0000637 · Cited by 8
Huang, X., Hao, X., Yin, X., Ren, L., Wang, D., Jin, F., Tan, L.-N., Liang, Z., & Song, C. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1273935 · Cited by 8
Easson, K., Khairy, M. A., Rohlicek, C. V., Gilbert, G., Majnemer, A., Nguyen, K., Luu, T. M., Couture, É., Nuyt, A. M., Deoni, S., et al. (2023) · Brain and Behavior · doi:10.1002/brb3.3308 · Cited by 7
Sun, F., Cui, D., Jiao, Q., Niu, J., Zhang, X., Shi, Y., Liu, H., Ouyang, Z., Yu, G., Dou, R., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad466 · Cited by 8
Bridging the Objective/Subjective Divide
Schooler, J. W. (2015) · doi:10.15502/9783958570405 · Cited by 11
Mapping face encoding using functional MRI in multiple sclerosis across disease phenotypes
Rocca, M. A., Vacchi, L., Rodegher, M., Meani, A., Martinelli, V., Possa, F., Comı, G., Falini, A., & Filippi, M. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9591-9 · Cited by 8
The Self‐Generative Mind in Education: Review and Future Directions
Ergas, O., & Berkovich‐Ohana, A. (2017) · Mind Brain and Education · doi:10.1111/mbe.12156 · Cited by 9
Temporal variability of brain networks predicts individual differences in bistable perception
Mao, Y., Kanai, R., Ding, C., Bi, T., & Qiu, J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107426 · Cited by 7
Dresler, M., Erlacher, D., Czisch, M., & Spoormaker, V. I. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-24288-2.00052-0 · Cited by 8
Changed functional connectivity at rest in functional illiterates after extensive literacy training
Mohammadi, B., Münte, T. F., Cole, D. M., Sami, A., Boltzmann, M., & Rüsseler, J. (2020) · Neurological Research and Practice · doi:10.1186/s42466-020-00058-0 · Cited by 8
Intelligence and Creativity from the Neuroscience Perspective
Jauk, E. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.024 · Cited by 8
Wu, P., Pang, X., Liang, X., Wei, W., Li, X., Zhao, J., & Zheng, J. (2021) · European Journal of Neurology · doi:10.1111/ene.15119 · Cited by 9
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Tanaka, S., & Kirino, E. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.737742 · Cited by 8
Jackson, R. L., Humphreys, G. F., Rice, G. E., Binney, R. J., & Ralph, M. A. L. (2023) · Cortex · doi:10.1016/j.cortex.2022.12.016 · Cited by 8
Baumann, A. W., Schäfer, T. A. J., & Ruge, H. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120262 · Cited by 7
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Przybylski, Ł., & Króliczak, G. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108735 · Cited by 8
Hirose, S., Kimura, H. M., Jimura, K., Kunimatsu, A., Abe, O., Ohtomo, K., Miyashita, Y., & Konishi, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071210 · Cited by 7
Zou, Q., Zhou, S., Xu, J., Su, Z., Li, Y., Ma, Y., Sun, H., Wu, C. W., & Gao, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.015 · Cited by 9
Andreou, C., Steinmann, S., Kolbeck, K., Rauh, J., Leicht, G., Moritz, S., & Mulert, C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.039 · Cited by 8
Zhang, R., Chen, Z., Xu, T., & Feng, T. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.11.014 · Cited by 8
Memory: from the laboratory to everyday life
Schacter, D. L. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.4/dschacter · Cited by 8
Self-citationChristensen, A. P., Benedek, M., Silvia, P. J., & Beaty, R. E. (2019) · doi:10.31234/osf.io/n438d · Cited by 8
Drifting and Directed Minds: The Significance of Mind-Wandering for Mental ActionPreprint
Irving, Z. C. (2019) · doi:10.31234/osf.io/3spnd · Cited by 8
Chiou, R. Y.-C., Cox, C. R., & Ralph, M. A. L. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac135 · Cited by 7
Zondo, S. (2023) · F1000Research · doi:10.12688/f1000research.132166.1 · Cited by 7
Tondelli, M., Manigrasso, M., & Zamboni, G. (2024) · Brain Sciences · doi:10.3390/brainsci14030204 · Cited by 10
Harı, E., Ulaşoğlu-Yıldız, Ç., Kurt, E., Bayram, A., Gurvit, H. I., & Demıralp, T. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.06.018 · Cited by 7
Leon, C., Kaur, S., Sagar, R., Tayade, P., & Sharma, R. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104291 · Cited by 7
Zhang, Z., Wang, M., Meng, G., Qi, Y., Wang, L., & Dong, G. (2025) · Journal of Behavioral Addictions · doi:10.1556/2006.2025.00036 · Cited by 8
Neural similarity predicts whether strangers become friends
Shen, Y. L., Hyon, R., Wheatley, T. P., Kleinbaum, A. M., Welker, C. L., & Parkinson, C. M. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02266-7 · Cited by 13
Wang, B., Pan, T., Guo, M., Li, Z., Yu, X., Li, D., Niu, Y., Cui, X., & Xiang, J. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac331 · Cited by 7
Peña, J., Muthalib, M., Beaty, R. E., Sampedro, A., Ibarretxe‐Bilbao, N., Zubiaurre‐Elorza, L., García‐Guerrero, M. A., Cortazar, I., Niso, M., & Ojeda, N. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2219953 · Cited by 7
A Closer Look at Transitions between the Generative and Evaluative Phases of Creative Thought
Zamani, A., Mills, C., Girn, M., & Kalina Christoff, A. (2023) · Routledge eBooks · doi:10.4324/9781003009351-29 · Cited by 10
Neural functional network of early Parkinson’s disease based on independent component analysis
Li, J., Tan, C., Zhang, L., Cai, S., Shen, Q., Liu, Q., Wang, M., Song, C., Zhou, F., Yuan, J., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad342 · Cited by 7
Vemuri, K., & Bapi, R. S. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0260 · Cited by 9
Toward a neurophysiological foundation for altered states of consciousness
Tabatabaeian, S., & Suchy-Dicey, C. (2018) · Behavioral and Brain Sciences · doi:10.1017/s0140525x17002187 · Cited by 8
Cheema, K., Hodgetts, W. E., & Cummine, J. (2021) · NeuroSci · doi:10.3390/neurosci2010005 · Cited by 7
Functional brain networks underlying automatic and controlled handwriting in Chinese
Li, J., Hong, L., Bi, H., & Yang, Y. (2021) · Brain and Language · doi:10.1016/j.bandl.2021.104962 · Cited by 7
The Effect of Body Posture on Resting-State Functional Connectivity
Avelar‐Pereira, B., Tam, G. K.-Y., & Hosseini, S. M. H. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0013 · Cited by 7
Coolidge, F. L. (2020) · doi:10.1093/oso/9780190940942.001.0001 · Cited by 11
Hakimdavoodi, H., & Amirmazlaghani, M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab965b · Cited by 7
Local Oscillatory Brain Dynamics of Mind Wandering in Schizophrenia
Prieto, M., Iglesias‐Parro, S., Soriano, M. F., & Ibáñez-Molina, A. J. (2021) · Brain Sciences · doi:10.3390/brainsci11070910 · Cited by 7
Perrone‐Bertolotti, M., Cerles, M., Ramdeen, K. T., Boudiaf, N., Pichat, C., Hot, P., & Baciu, M. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00121 · Cited by 9
Oei, N. Y. L., Jansen, S. W. M., Veer, I. M., Slagboom, P. E., van der Grond, J., & van Heemst, D. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.02.018 · Cited by 8
Oscillatory mechanisms of intrinsic human brain networks
Luo, Y., Meng, X., Zhou, G., Zhou, J., Deng, G., Ai, H., Xu, J., Li, Y., Luo, Y.-J., Ai, H., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120773 · Cited by 6
Yin, J., Gao, S., Zhang, M., Xu, G., Xu, K., He, X. Y., Wang, Y. S., Li, Z., & Shao, B. (2024) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.70003 · Cited by 7
Kang, D., Uchida, K., Haider, C. R., Campeau, N. G., In, M., Gray, E. M., Trzasko, J. D., Welker, K. M., Gunter, J. L., Bernstein, M. A., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121302 · Cited by 6
Yazdi, B. G., & Razlighi, Q. R. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-06721-x · Cited by 6
Boeken, O. J., & Markett, S. A. (2023) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2022.1074674 · Cited by 6
Configuration of the action observation network depends on the goals of the observer
Zhou, X., Stehr, D. A., Pyles, J. A., & Grossman, E. D. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108704 · Cited by 7
Li, M., Schilling, K. G., Gao, F., Xu, L., Choi, S., Gao, Y., Zu, Z., Anderson, A. W., Ding, Z., Landman, B. A., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae114 · Cited by 7
The intrinsic functional connectivity of psychopathy and its relation to self-control
Kng, J. H., Luo, L., Choy, O., & Yu, J. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2024.108979 · Cited by 6
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Vicentin, S., Cona, G., Marino, M., Bisiacchi, P. S., Mantini, D., & Arcara, G. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319213 · Cited by 6
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Saracini, C., Belardinelli, M. O., Hoepfner, A., & Basso, D. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-41018-6_72 · Cited by 6
Guo, X., Liu, L., Li, T., Zhao, Q., Li, H., Huang, F., Wang, Y., Qian, Q., Cao, Q., Wang, Y., et al. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13625 · Cited by 6
Skolasinska, P., Basak, C., & Qin, S. (2022) · SSRN Electronic Journal · doi:10.1016/j.neuroscience.2023.04.007 · Cited by 6
Chou, T., Dougherty, D. D., Nierenberg, A. A., & Ghaznavi, S. (2023) · Acta Neuropsychiatrica · doi:10.1017/neu.2023.36 · Cited by 6
Expressive suppression and neural responsiveness to nonverbal affective cues
Petrican, R., Rosenbaum, R. S., & Grady, C. L. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.09.013 · Cited by 6
Petrican, R., & Grady, C. L. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.01.021 · Cited by 6
Mesocorticolimbic Interactions Mediate fMRI-Guided Regulation of Self-Generated Affective States
Carìa, A. (2020) · Brain Sciences · doi:10.3390/brainsci10040223 · Cited by 5
Shi, L., Lou, W., Wong, A., Zhang, F., Abrigo, J., Chu, C. W., Kwok, T. C. Y., Wong, K. K. L., Abbott, D., Wang, D., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.058 · Cited by 6
Mill, R. D., Cavin, I., & O’Connor, A. R. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00808 · Cited by 6
Oiarbide, G. A., Daws, R. E., Lorenz, R., Violante, I. R., & Hampshire, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.29.223180 · Cited by 6
Dhamala, E., Jamison, K. W., Jaywant, A., & Kuceyeski, A. F. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.17.431670 · Cited by 6
Sevinc, G., & Lazar, S. W. (2018) · MindRxiv (OSF Preprints) · doi:10.31231/osf.io/cd7qv · Cited by 8
Cornblath, E. J., Ashourvan, A., Kim, J. Z., Betzel, R. F., Ćirić, R., Baum, G. L., He, X., Ruparel, K., Moore, T. M., Gur, R. C., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/412429 · Cited by 10
It's About Time—Breathing Dynamics Modulate Emotion and Cognition
Goheen, J., Çatal, Y., MacPhee, I., Call, T., Carson, C., Ali, R., Khan, R., Weche, K., Anderson, J. A. E., & Northoff, G. (2025) · Psychophysiology · doi:10.1111/psyp.70149 · Cited by 5
Ganesan, S., Dam, N. T. V., Kamboj, S. K., Tsuchiyagaito, A., Sacchet, M. D., Misaki, M., Moffat, B. A., Lorenzetti, V., & Zalesky, A. (2025) · Mindfulness · doi:10.1007/s12671-025-02671-z · Cited by 12
Loescher, M., Haggard, P., & Tallon‐Baudry, C. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2516229122 · Cited by 6
Hill, J., Korponay, C. H., Salmeron, B. J., Ross, T. J., & Janes, A. C. (2024) · Human Brain Mapping · doi:10.1002/hbm.70086 · Cited by 4
Han, J.-C., Zhang, C., Cai, Y.-D., Li, Y., Shang, Y., Chen, Z., Yang, G., Song, J.-J., Su, D., Bai, K., et al. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111223 · Cited by 5
Constante, K., Demidenko, M. I., Huntley, E. D., Rivas‐Drake, D., Keating, D. P., & Beltz, A. M. (2022) · Journal of Research on Adolescence · doi:10.1111/jora.12760 · Cited by 6
Xie, K., Jin, Z., Jin, D., Zhang, J., & Li, L. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119483 · Cited by 6
Smith, J. L., Allen, J. W., Fleischer, C. C., & Harper, D. (2022) · Frontiers in Pain Research · doi:10.3389/fpain.2022.966398 · Cited by 5
Peattie, A. R. D., Manktelow, A. E., Sahakian, B. J., Menon, D. K., & Stamatakis, E. A. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13030771 · Cited by 6
Stern, E. R., Muratore, A. F., Taylor, S. F., Abelson, J. L., Hof, P. R., & Goodman, W. K. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu115 · Cited by 7
Psychological and Neural Functions of Working Memory in Social Contexts
Maehara, Y. (2017) · Springer eBooks · doi:10.1007/978-4-431-56591-8_3 · Cited by 5
Agrawal, S., Chinnadurai, V., Kaur, A., Kumar, P., Kaur, P., Sharma, R., & Singh, A. K. (2019) · Brain Connectivity · doi:10.1089/brain.2018.0656 · Cited by 5
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Self-citationDewiputri, W. I., Schweizer, R., & Auer, T. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.645048 · Cited by 5
Petrican, R., Söderlund, H., Kumar, N., Daskalakis, Z. J., Flint, A. J., & Levine, B. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101816 · Cited by 5
Вадимовна, А. В., Mayorova, L. A., Ivanova, G. Е., Guekht, A. B., & Shklovskij, V. M. (2017) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro20171173271-78 · Cited by 5
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Krieger‐Redwood, K. (2012) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 5
Dixon, M. L., Andrews‐Hanna, J. R., Spreng, R. N., Irving, Z. C., & Kalina Christoff, A. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/056424 · Cited by 6
Self-citationGanesan, S., Dam, N. T. V., Kamboj, S. K., Tsuchiyagaito, A., Sacchet, M. D., Misaki, M., Moffat, B. A., Lorenzetti, V., & Zalesky, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.25.618656 · Cited by 5
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Li, G., Liu, Y., Liu, C., Li, H., Tang, W., & Chen, A. (2025) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2025.100274 · Cited by 5
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Local and distributed cortical markers of effort expenditure during sustained goal pursuit
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Starr, G. G. (2023) · The MIT Press eBooks · doi:10.7551/mitpress/13829.001.0001 · Cited by 4
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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