Topologically Reorganized Connectivity Architecture of Default-Mode, Executive-Control, and Salience Networks across Working Memory Task Loads
Open accessAbstract
The human brain is topologically organized into a set of spatially distributed, functionally specific networks. Of these networks, the default-mode network (DMN), executive-control network (ECN), and salience network (SN) have received the most attention recently for their vital roles in cognitive functions. However, very little is known about whether and how the interactions within and between these 3 networks would be modulated by cognitive demands. Here, we employed graph-based modularity analysis to identify the DMN, ECN, and SN during an N-back working memory (WM) task and further investigated the modulation of intra- and inter-network interactions at different cognitive loads. As the task load elevated, functional connectivity decreased within the DMN while increased within the ECN, and the SN connected more with both the DMN and ECN. Within-network connectivity of the ventral and dorsal posterior cingulate cortex was differentially modulated by cognitive load. Further, the superior parietal regions in the ECN showed increased internetwork connections at higher WM loads, and these increases correlated positively with WM task performance. Together, these findings advance our understanding of dynamic integrations of specialized brain systems in response to cognitive demands and may serve as a baseline for assessing potential disruptions of these interactions in pathological conditions.
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The central executive network is anchored in the dorsolateral prefrontal cortex and posterior parietal cortices and is associated with executive functioning.
“The CEN, anchored in the dorsolateral prefrontal cortex (dlPFC) and posterior parietal cortices (PPC), is associated with executive functioning [36–42].”
From Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders (2022) · cites this paper as [40]
The Brain Module Identification section describes the executive-control network as comprising primarily bilateral lateral frontal and parietal cortices, and the Introduction links it to externally directed cognitive functions. These passages support the broad anatomy and functional association, but our copy does not specifically identify the dorsolateral prefrontal cortex as an anchor. (LLM, conf=0.78)
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Cites
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · 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
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · 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
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
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
Fast algorithm for detecting community structure in networks
Newman, M. E. J. (2004) · Physical Review E · doi:10.1103/physreve.69.066133 · Cited by 5,415 · 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
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583 · see citing works
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 · see citing works
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173 · see citing works
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168 · 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
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106 · see citing works
Functional cartography of complex metabolic networks
Guimerà, R., & Nunes Amaral, L. A. (2005) · Nature · doi:10.1038/nature03288 · Cited by 3,983 · see citing works
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997 · 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
Comparing community structure identification
Danon, L., Dı́az-Guilera, A., Duch, J., & Arenas, À. (2005) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2005/09/p09008 · Cited by 2,888 · see citing works
Models of Working Memory: Mechanisms of Active Maintenance and Executive Control
Miyake, A., & Shah, P. (1999) · Cited by 2,404 · see citing works
Large-scale brain networks in cognition: emerging methods and principles
Bressler, S. L., & Menon, V. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.04.004 · Cited by 2,348 · see citing works
Persistent activity in the prefrontal cortex during working memory
Curtis, C. E., & D'Esposito, M. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00197-9 · Cited by 2,001 · see citing works
Neuroimaging studies of working memory:
Wager, T. D., & Smith, E. E. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.4.255 · Cited by 1,889 · see citing works
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Craddock, R. C., James, G. A., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.21333 · Cited by 1,636 · see citing works
Pajek - Program for Large Network Analysis
Batagelj, V., & Mrvar, A. (1999) · Cited by 1,393 · see citing works
Modular and hierarchically modular organization of brain networks
Meunier, D., Lambiotte, R., & Bullmore, E. T. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00200 · Cited by 1,156 · see citing works
Anticorrelations in resting state networks without global signal regression
Chai, X. J., Nieto-Castañón, A., Öngür, D., & Whitfield, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.048 · Cited by 1,143 · see citing works
Mapping directed influence over the brain using Granger causality and fMRI
Roebroeck, A. F., Formisano, E., & Goebel, R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.11.017 · Cited by 1,012 · see citing works
Precuneus shares intrinsic functional architecture in humans and monkeys
Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., Villringer, A., Castellanos, F. X., Milham, M. P., & Petrides, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905314106 · Cited by 965 · cited 2× · see citing works
“While the ventral part of the PCC connected solely with other DMN regions and is involved in internally directed functions, the dorsal PCChas broad connections to both DMN and cognitive control areas and has been thought to work together with the SN to detect and regulate the internal and external events (Margulies et…”
BackgroundNeural basis of global resting-state fMRI activity
Schölvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913110107 · Cited by 939 · see citing works
(1999) · Cambridge University Press eBooks · doi:10.1017/cbo9781139174909 · Cited by 912 · see citing works
Saad, Z. S., Gotts, S. J., Murphy, K., Chen, G., Jo, H. J., Martin, A., & Cox, R. W. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0080 · Cited by 859 · see citing works
Brain connectivity related to working memory performance
Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3408-06.2006 · Cited by 853 · see citing works
Maintenance versus Manipulation of Information Held in Working Memory: An Event-Related fMRI Study
D’Esposito, M., Postle, B. R., Ballard, D., & Lease, J. (1999) · Brain and Cognition · doi:10.1006/brcg.1999.1096 · Cited by 779 · 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
Cartography of complex networks: modules and universal roles
Guimerà, R., & Amaral, L. A. N. (2005) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2005/02/p02001 · Cited by 757 · see citing works
Contributions and challenges for network models in cognitive neuroscience
Sporns, O. (2014) · Nature Neuroscience · doi:10.1038/nn.3690 · Cited by 743 · see citing works
Liang, X., Zou, Q., He, Y., & Yang, Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214900110 · Cited by 677 · see citing works
Self-citationParcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study
Wang, J., Wang, L. Y., Zang, Y., Yang, H., Tang, H., Gong, Q., Chen, Z., Zhu, C., & Yong He, A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20623 · Cited by 657 · see citing works
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
Yong He, A., Wang, J., Wang, L. Y., Chen, Z. J., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005226 · Cited by 619 · see citing works
How default is the default mode of brain function?
Fransson, P. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.06.017 · 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
Superior Parietal Cortex Is Critical for the Manipulation of Information in Working Memory
Koenigs, M. R., Barbey, A. K., Postle, B. R., & Grafman, J. H. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3706-09.2009 · Cited by 568 · 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
Decreased connectivity and cerebellar activity in autism during motor task performance
Mostofsky, S. H., Powell, S. K., Simmonds, D. J., Goldberg, M. C., Caffo, B., & Pekar, J. J. (2009) · Brain · doi:10.1093/brain/awp088 · Cited by 450 · see citing works
Dynamic cooperation and competition between brain systems during cognitive control
Cocchi, L., Zalesky, A., Fornito, A., & Mattingley, J. B. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.006 · Cited by 429 · see citing works
Cognitive effort drives workspace configuration of human brain functional networks
Kitzbichler, M. G., Henson, R. N. A., Smith, M. L., Nathan, P. J., & Bullmore, E. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0440-11.2011 · Cited by 427 · see citing works
The validity of d prime as a working memory index: Results from the “Bergen n -back task”
Haatveit, B. C., Sundet, K. S., Hugdahl, K., Ueland, T., Melle, I. S., & Andreassen, O. A. (2010) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803391003596421 · Cited by 314 · see citing works
Intrinsic resting‐state activity predicts working memory brain activation and behavioral performance
Zou, Q., Ross, T. J., Gu, H., Geng, X., Zuo, X., Hong, L. E., Gao, J., Stein, E. A., Zang, Y., & Yang, Y. (2012) · Human Brain Mapping · doi:10.1002/hbm.22136 · Cited by 212 · see citing works
Self-citationHoney, G. D., Fu, C. H. Y., Kim, J., Brammer, M. J., Croudace, T. J., John Suckling, A., Pich, E. M., Williams, S., & Bullmore, E. T. (2002) · NeuroImage · doi:10.1006/nimg.2002.1193 · Cited by 184 · see citing works
Nagel, I. E., Preuschhof, C., Li, S., Nyberg, L. H., Bäckman, L., Lindenberger, U., & Heekeren, H. R. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21560 · Cited by 155 · see citing works
Repovš, G., & Barch, D. M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00137 · Cited by 138 · see citing works
Newton, A. T., Morgan, V. L., Rogers, B. P., & Gore, J. C. (2010) · Human Brain Mapping · doi:10.1002/hbm.21138 · Cited by 110 · see citing works
Working memory load modulation of parieto‐frontal connections: Evidence from dynamic causal modeling
Ma, L., Steinberg, J. L., Hasan, K. M., Narayana, P. A., Kramer, L. A., & Moeller, F. G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21329 · Cited by 99 · see citing works
Complexity in Relational Processing Predicts Changes in Functional Brain Network Dynamics
Cocchi, L., Halford, G. S., Zalesky, A., Harding, I. H., Ramm, B. J., Cutmore, T. R. H., Shum, D., & Mattingley, J. B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht075 · Cited by 90 · see citing works
Honey, G. D. (2002) · NeuroImage · doi:10.1016/s1053-8119(02)91193-6 · Cited by 21 · see citing works
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The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition
Cohen, J. R., & D’Esposito, M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2965-15.2016 · Cited by 767 · see citing works
Farahani, F. V., Karwowski, W., & Lighthall, N. R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00585 · Cited by 719 · see citing works
The role of PFC networks in cognitive control and executive function
Menon, V., & D’Esposito, M. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01152-w · Cited by 654 · see citing works
Small-world human brain networks: Perspectives and challenges
Liao, X., Vasilakos, A. V., & Yong He, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.03.018 · Cited by 431 · see citing works
Complex network analysis of time series
Gao, Z., SMALL, M. P., & Kurths, J. (2016) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/116/50001 · Cited by 302 · see citing works
Ng, K. K., Lo, J. C.-Y., Lim, J. K. W., Chee, M. W. L., & Zhou, J. H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.029 · Cited by 224 · see citing works
Disrupted structural and functional brain networks in Alzheimer's disease
Dai, Z., Lin, Q., Li, T., Wang, X., Yuan, H., Yu, X., Yong He, A., & Wang, H. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.11.005 · Cited by 214 · see citing works
Liu, J., Liao, X., Xia, M., & Yong He, A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23890 · Cited by 205 · see citing works
Gratton, C., Sun, H., & Petersen, S. E. (2017) · Psychophysiology · doi:10.1111/psyp.13032 · Cited by 194 · see citing works
Wu, X., Zou, Q., Hu, J., Tang, W., Mao, Y. Q., Gao, L., Zhu, J., Jin, Y., Wu, X., Lu, L., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0415-15.2015 · Cited by 170 · see citing works
Self-citationIntegration and segregation of large-scale brain networks during short-term task automatization
Mohr, H., Wolfensteller, U., Betzel, R. F., Mišić, B., Sporns, O., Richiardi, J., & Ruge, H. (2016) · Nature Communications · doi:10.1038/ncomms13217 · Cited by 163 · see citing works
Hasson, U., Egidi, G., Marelli, M., & Willems, R. M. (2018) · Cognition · doi:10.1016/j.cognition.2018.06.018 · Cited by 157 · see citing works
Wang, P., Zhou, B., Yao, H., Zhan, Y., Zhang, Z., Cui, Y. J., Xu, K., Ma, J., Wang, L., An, N., et al. (2015) · Scientific Reports · doi:10.1038/srep14824 · Cited by 145 · see citing works
Sun, J., Liu, Z., Rolls, E. T., Chen, Q., Yao, Y., Yang, W., Wei, D., Zhang, Q., Zhang, J., Feng, J., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy010 · Cited by 136 · see citing works
Intelligence is associated with the modular structure of intrinsic brain networks
Hilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2017) · Scientific Reports · doi:10.1038/s41598-017-15795-7 · Cited by 132 · see citing works
Large‐scale brain networks are distinctly affected in right and left mesial temporal lobe epilepsy
de Campos, B. M., Coan, A. C., Yasuda, C. L., Casseb, R. F., & Cendes, F. (2016) · Human Brain Mapping · doi:10.1002/hbm.23231 · Cited by 130 · see citing works
Esposito, R., Cieri, F., Chiacchiaretta, P., Cera, N., Lauriola, M., Giannantonio, M. D., Tartaro, A., & Ferretti, A. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9686-y · Cited by 127 · see citing works
Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults
Gallen, C. L., Baniqued, P. L., Chapman, S. B., Aslan, S., Keebler, M. W., Didehbani, N., & D’Esposito, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0169015 · Cited by 117 · see citing works
Individual differences and time-varying features of modular brain architecture
Liao, X., Cao, M., Xia, M., & Yong He, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.066 · Cited by 117 · see citing works
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 · see citing works
Yu, Q., Du, Y., Chen, J., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Adalı, T., Pearlson, G. D., & Calhoun, V. D. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2825200 · Cited by 93 · see citing works
Brain network functional connectivity and cognitive performance in major depressive disorder
Albert, K. M., Potter, G. G., Boyd, B. D., Kang, H., & Taylor, W. D. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.11.020 · Cited by 87 · see citing works
Functional connectomics from a “big data” perspective
Xia, M., & Yong He, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.031 · Cited by 85 · see citing works
Sha, Z., Xia, M., Lin, Q., Cao, M., Tang, Y., Xu, K., Song, H., Wang, Z., Wang, F., Fox, P. T., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx273 · Cited by 81 · see citing works
Mindfulness Improves Emotion Regulation and Executive Control on Bereaved Individuals: An fMRI Study
Huang, F., Hsu, A., Hsu, L.-M., Tsai, J., Huang, C., Chao, Y., Hwang, T., & Wu, C. W. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00541 · Cited by 79 · see citing works
Zhan, Y., Initiative, A. D. N., Ma, J., Alexander‐Bloch, A. F., Xu, K., Cui, Y. J., Feng, Q., Jiang, T., & Liu, Y. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160008 · Cited by 76 · see citing works
Reconfiguration of brain network architecture to support executive control in aging
Gallen, C. L., Turner, G. R., Adnan, A., & D’Esposito, M. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.04.003 · Cited by 70 · see citing works
Lois, G., & Wessa, M. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw085 · Cited by 66 · see citing works
Dynamic network coding of working-memory domains and working-memory processes
Soreq, E., Leech, R., & Hampshire, A. (2019) · Nature Communications · doi:10.1038/s41467-019-08840-8 · Cited by 65 · see citing works
Altered Functional Connectivity of Insular Subregions in Alzheimer’s Disease
Liu, X., Chen, X., Zheng, W., Xia, M., Han, Y., Song, H., Li, K., Yong He, A., & Wang, Z. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00107 · Cited by 64 · see citing works
EEG microstates are correlated with brain functional networks during slow-wave sleep
Xu, J., Pan, Y., Zhou, S., Zou, G., Liu, J., Su, Z., Zou, Q., & Gao, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116786 · Cited by 64 · see citing works
Self-citationHearne, L. J., Cocchi, L., Zalesky, A., & Mattingley, J. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22802 · Cited by 63 · see citing works
Intrinsic Brain Hub Connectivity Underlies Individual Differences in Spatial Working Memory
Liu, J., Xia, M., Dai, Z., Wang, X., Liao, X., Bi, Y., & Yong He, A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw317 · Cited by 58 · see citing works
Differences between child and adult large‐scale functional brain networks for reading tasks
Liu, X., Gao, Y., Di, Q., Hu, J., Lu, C., Nan, Y., Booth, J. R., & Liu, L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23871 · Cited by 57 · see citing works
Gu, H., Hu, Y., Chen, X., Yong He, A., & Yang, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.055 · Cited by 56 · see citing works
Self-citationWang, C., Hu, Y., Weng, J., Chen, F., & Liu, H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116334 · Cited by 57 · see citing works
Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia
Mastrovito, D., Hanson, C., & Hanson, S. J. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.01.014 · Cited by 54 · see citing works
Yun, J., Jang, J. H., Kim, S. N., Jung, W. H., & Kwon, J. S. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.06.009 · Cited by 54 · see citing works
Wu, X., Li, Q., Yu, X., Chen, K., Fleisher, A., Guo, X., Zhang, J., Reiman, E. M., Li, Y., & Li, R. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00231 · Cited by 47 · see citing works
Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study
Yu, Q., Wu, L., Bridwell, D. A., Erhardt, E. B., Du, Y., He, H., Chen, J., Liu, P., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Pearlson, G. D., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00476 · Cited by 49 · see citing works
Liang, X., Hsu, L., Lu, H., Sumiyoshi, A., Yong He, A., & Yang, Y. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw416 · Cited by 49 · see citing works
Self-citationFunctional disruption of cerebello-thalamo-cortical networks in obsessive-compulsive disorder
Sha, Z., Edmiston, E. K., Versace, A., Fournier, J. C., Graur, S., Greenberg, T., Lima Santos, J. P., Chase, H. W., Stiffler, R. S., Bonar, L., et al. (2020) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.12.002 · Cited by 48 · see citing works
Lynch, C. J., Breeden, A. L., Gordon, E. M., Cherry, J. B. C., Turkeltaub, P. E., & Vaidya, C. J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy270 · Cited by 47 · see citing works
Zanchi, D., Montandon, M., Sinanaj, I., Rodriguez, C. K., Depoorter, A., Herrmann, F. R., Borgwardt, S., Giannakopoulos, P., & Haller, S. (2017) · Neurosignals · doi:10.1159/000486152 · Cited by 47 · see citing works
Pu, W., Luo, Q., Palaniyappan, L. K., Xue, Z., Yao, S., Feng, J., & Liu, Z. (2016) · Psychological Medicine · doi:10.1017/s0033291715002755 · Cited by 47 · see citing works
Decreased Alertness Reconfigures Cognitive Control Networks
Canales‐Johnson, A., Beerendonk, L., Blain, S., Kitaoka, S., Ezquerro‐Nassar, A., Nuiten, S. A., Fahrenfort, J. J., van Gaal, S., & Bekinschtein, T. A. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0343-20.2020 · Cited by 47 · see citing works
Neurocognitive Profiles of Older Adults with Working-Memory Dysfunction
Salami, A., Rieckmann, A., Karalija, N., Avelar‐Pereira, B., Andersson, M., Wåhlin, A., Papenberg, G., Garrett, D. D., Riklund, K., Lövdén, M., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy062 · Cited by 50 · see citing works
Brain network modularity predicts cognitive training-related gains in young adults
Baniqued, P. L., Gallen, C. L., Kranz, M. B., Kramer, A. F., & D’Esposito, M. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.05.021 · Cited by 41 · see citing works
Involvement of the default mode network under varying levels of cognitive effort
Weber, S., Aleman, A., & Hugdahl, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-10289-7 · Cited by 42 · see citing works
Functional Connectome Analyses Reveal the Human Olfactory Network Organization
Arnold, T. C., You, Y., Ding, M., Zuo, X., de Araújo, I., & Li, W. (2020) · eNeuro · doi:10.1523/eneuro.0551-19.2020 · Cited by 42 · see citing works
Lois, G., Gerchen, M. F., Kirsch, P., Kanske, P., Schönfelder, S., & Wessa, M. (2017) · Bipolar Disorders · doi:10.1111/bdi.12512 · Cited by 40 · see citing works
Lynch, C. J., Breeden, A. L., You, X., Ludlum, R. S., Gaillard, W. D., Kenworthy, L. E., & Vaidya, C. J. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.03.008 · Cited by 40 · see citing works
Core networks and their reconfiguration patterns across cognitive loads
Zuo, N., Yang, Z., Liu, Y., Li, J., & Jiang, T. (2018) · Human Brain Mapping · doi:10.1002/hbm.24193 · Cited by 39 · see citing works
Li, R., Zhang, S., Yin, S., Ren, W., He, R., & Li, J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24247 · Cited by 39 · see citing works
Xue, C., Qi, W., Yuan, Q., Hu, G., Ge, H., Rao, J., Xiao, C., & Chen, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.711009 · Cited by 39 · see citing works
Lei, Y., Li, Y., Guo, Q., Liu, X., Liu, Z., Ni, W., Su, J., Yang, H., Jiang, H., Xu, B., et al. (2016) · Journal of neurosurgery · doi:10.3171/2015.12.jns151499 · Cited by 39 · see citing works
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 37 · see citing works
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Makoto Miyauchi, C., Sassa, Y., & Kawashima, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-01460-6 · Cited by 36 · see citing works
Steardo, L., D’Angelo, M., Monaco, F., Stefano, V. D., & Steardo, L. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106030 · Cited by 37 · see citing works
Browndyke, J. N., Berger, M., Smith, P. J., Harshbarger, T. B., Monge, Z. A., Panchal, V., Bisanar, T. L., Glower, D. D., Alexander, J. H., Cabeza, R. E. L., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23898 · Cited by 36 · see citing works
Qi, J., Li, B.-Z., Zhang, Y., Pan, B., Gao, Y., Zhan, H., Liu, Y., Shao, Y., & Zhang, X. (2021) · Sleep Medicine · doi:10.1016/j.sleep.2021.05.037 · Cited by 36 · see citing works
Altered topological patterns of brain functional networks in Crohn’s disease
Liu, P., Li, R., Bao, C., Wei, Y., Fan, Y., Liu, Y., Wang, G., Wu, H., & Qin, W. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9814-8 · Cited by 35 · see citing works
Perera, M. P. N., Gotsis, E. S., Bailey, N. W., Fitzgibbon, B. M., & Fitzgerald, P. B. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae327 · Cited by 34 · see citing works
Nour, M. M., Dahoun, T., McCutcheon, R. A., Adams, R. A., Wall, M. B., & Howes, O. D. (2019) · eLife · doi:10.7554/elife.45045 · Cited by 34 · see citing works
Wang, Y., Wang, C., Wei, Y., Miao, P., Liu, J., Wu, L., Li, Z., Li, X., Wang, K., & Cheng, J. (2022) · Human Brain Mapping · doi:10.1002/hbm.25982 · Cited by 32 · see citing works
Dynamic reconfiguration of the functional brain network after musical training in young adults
Li, Q., Wang, X., Wang, S., Xie, Y., Li, X., Xie, Y., & Li, S. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01867-z · Cited by 32 · see citing works
Strategies and cognitive reserve to preserve lexical production in aging
Baciu, M., Banjac, S., Roger, É., Haldin, C., Perrone‐Bertolotti, M., Lœvenbruck, H., & Démonet, J. (2021) · GeroScience · doi:10.1007/s11357-021-00367-5 · Cited by 32 · see citing works
Chakladar, D. D., Roy, P. P., & Iwamura, M. (2021) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2021.3116079 · Cited by 32 · see citing works
Hilger, K., & Fiebach, C. J. (2019) · Network Neuroscience · doi:10.1162/netn_a_00083 · Cited by 31 · see citing works
Liu, R., Chen, H., Qin, R., Gu, Y., Chen, X., Zou, J., Jiang, Y., Li, W., Bai, F., Zhang, B., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00324 · Cited by 30 · see citing works
Li, X., Wang, L., Chen, Q., Hu, Y., Du, J., Chen, X., Zheng, W., Lu, J., & Chen, N. (2020) · Neural Plasticity · doi:10.1155/2020/2796571 · Cited by 29 · see citing works
Insula-cingulate structural and functional connectivity: an ultra-high field MRI study
Cormie, M. A., Kaya, B., Hadjis, G. E., Mouseli, P., & Moayedi, M. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad244 · Cited by 28 · see citing works
Wanke, N., & Schwabe, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz298 · Cited by 28 · see citing works
Reconfigured functional network dynamics in adult moyamoya disease: a resting-state fMRI study
Lei, Y., Song, B., Chen, L., Su, J., Zhang, X., Ni, W., Yu, Y., Xu, B., Yu, L., Gu, Y., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-0009-8 · Cited by 27 · see citing works
Otsuka, K., Cornélissen, G., Kubo, Y., Shibata, K., Hayashi, M., Mizuno, K., Ohshima, H., Furukawa, S., & Mukai, C. N. (2018) · Scientific Reports · doi:10.1038/s41598-018-28740-z · Cited by 30 · see citing works
Individualized video recommendation modulates functional connectivity between large scale networks
Su, C., Zhou, H., Wang, C., Geng, F., & Hu, Y. (2021) · Human Brain Mapping · doi:10.1002/hbm.25616 · Cited by 27 · see citing works
Brain Networks Reorganization During Maturation and Healthy Aging-Emphases for Resilience
González‐Escamilla, G., Muthuraman, M., Chirumamilla, V. C., Vogt, J., & Groppa, S. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00601 · Cited by 26 · see citing works
Functional brain modules reconfigure at multiple scales across the human lifespanPreprint
Betzel, R. F., Mišić, B., He, Y., Rumschlag, J. A., Zuo, X., & Sporns, O. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1510.08045 · Cited by 28 · see citing works
Self-citationRegional Gray Matter Atrophy in Vascular Mild Cognitive Impairment
Lei, Y., Su, J., Guo, Q., Yang, H., Gu, Y., & Mao, Y. Q. (2015) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2015.08.041 · Cited by 26 · see citing works
Functional neural network configuration in late childhood varies by age and cognitive state
Le, T. M., Huang, A., O’Rawe, J. F., & Leung, H. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100862 · Cited by 26 · see citing works
Ding, X., Yang, Y., Stein, E. A., & Ross, T. J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00362 · Cited by 23 · see citing works
Self-citationRosa, P. A. D., Canini, M., Marchetta, E., Cirillo, S., Pontesilli, S., Scotti, R., Sora, M. G. N., Poloniato, A., Barera, G., Falini, A., et al. (2020) · Brain and Cognition · doi:10.1016/j.bandc.2020.105669 · Cited by 26 · see citing works
Yun, J.-Y., Jang, J. H., Jung, W. H., Shin, N. Y., Kim, S. N., Hwang, J. Y., & Kwon, J. S. (2017) · Psychiatry Investigation · doi:10.4306/pi.2017.14.3.333 · Cited by 22 · see citing works
Ahmadi, M., Kazemi, K., Kuć, K., Cybulska-Kłosowicz, A., Helfroush, M. S., & Aarabi, A. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac16b3 · Cited by 23 · see citing works
Liang, X., Yuan, Q., Xue, C., Qi, W., Ge, H., Yan, Z., Chen, S., Song, Y., Wu, H., Xiao, C., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.919859 · Cited by 23 · see citing works
Self-citationWorking memory load-dependent changes in cortical network connectivity estimated by machine learning
Eryilmaz, H., Dowling, K. F., Hughes, D., Rodriguez-Thompson, A., Tanner, A. S., Huntington, C., Coon, W. G., & Roffman, J. L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116895 · Cited by 24 · see citing works
Age differences in functional network reconfiguration with working memory training
Iordan, A. D., Moored, K., Katz, B., Cooke, K. A., Buschkuehl, M., Jaeggi, S. M., Polk, T. A., Peltier, S., Jonides, J., & Reuter‐Lorenz, P. A. (2021) · Human Brain Mapping · doi:10.1002/hbm.25337 · Cited by 22 · see citing works
Zheng, H., Ford, B. N., Kuplicki, R., Burrows, K., Hunt, P. W., Bodurka, J., Teague, T. K., Irwin, M. R., Yolken, R. H., Paulus, M. P., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01558-6 · Cited by 23 · see citing works
Activation‐based association profiles differentiate network roles across cognitive loads
Zuo, N., Salami, A., Yang, Y., Yang, Z., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., & Jiang, T. (2019) · Human Brain Mapping · doi:10.1002/hbm.24561 · Cited by 21 · see citing works
Self-citationLi, X., Wang, F., Liu, X., Cao, D., Cai, L., Jiang, X., Yang, X., Yang, T., & Asakawa, T. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.554032 · Cited by 22 · see citing works
The Oscillatory Basis of Working Memory Function and Dysfunction in Epilepsy
Arski, O. N., Young, J. M., Smith, M.-L., & Ibrahim, G. M. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.612024 · Cited by 22 · see citing works
Soleimani, G., Towhidkhah, F., Oghabian, M. A., & Ekhtiari, H. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.956315 · Cited by 22 · see citing works
Wong, J. K. Y., Churchill, N. W., Graham, S. J., BAKER, A. J., & Schweizer, T. A. (2023) · Brain Injury · doi:10.1080/02699052.2022.2163290 · Cited by 22 · see citing works
Cruzat, J., Deco, G., Campo, A. T., Príncipe, A., Costa, A., Kringelbach, M. L., & Rocamora, R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.064 · Cited by 20 · see citing works
Time-evolving dynamics in brain networks forecast responses to health messaging
Cooper, N., Garcia, J. O., Tompson, S., O’Donnell, M. B., Falk, E. B., & Vettel, J. M. (2018) · Network Neuroscience · doi:10.1162/netn_a_00058 · Cited by 20 · see citing works
Temporal Dynamics of Functional Brain States Underlie Cognitive Performance
Gu, H., Schulz, K. P., Fan, J., & Yang, Y. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa350 · Cited by 21 · see citing works
Self-citationLebedev, A. V., Nilsson, J., & Lövdén, M. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01260 · Cited by 21 · see citing works
The Modular Organization of Pain Brain Networks: An fMRI Graph Analysis Informed by Intracranial EEG
Fauchon, C., David Meunier, A., Faillenot, I., Pomares, F. B., Bastuji, H., Garcı́a-Larrea, L., & Peyron, R. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa088 · Cited by 21 · see citing works
Huang, J., Choo, S., Pugh, Z. H., & Nam, C. S. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720820987443 · Cited by 21 · see citing works
Sbaihat, H., Rajkumar, R., Ramkiran, S., Assi, A. A., Felder, J., Shah, N. J., Veselinović, T., & Neuner, I. (2022) · Human Brain Mapping · doi:10.1002/hbm.25771 · Cited by 20 · see citing works
- Authors
- Liang, X., Zou, Q., He, Y., & Yang, Y.
- Affiliations
- National Institutes of Health (US)
- Peking University (CN)
- Corresponding author
- Liang, Xia
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-01-16
- Volume
- 26
- Issue
- 4
- Pages
- 1501-1511
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4785946
- OpenAlex
- W1968592137
- Cited by
- 261
- References
- 56
- Citations by year
- 2026: 11 · 2025: 31 · 2024: 26 · 2023: 22 · 2022: 19 · 2021: 31 · 2020: 17 · 2019: 24 · 2018: 28 · 2017: 21 · 2016: 25 · 2015: 6
- FWCI
- 16.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- Locations
- Cerebral Cortex (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Natural Science Foundation of China (81201142, 81225012, 31221003, 81030028)
- National Institutes of Health
- National Science Fund for Distinguished Young Scholars (81225012)
- National Institute on Drug Abuse
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- default mode network, frontoparietal network, salience network, working memory, cognitive load, functional connectivity, network topology, posterior cingulate cortex, superior parietal cortex
- MeSH terms
- Adult, Attention, Brain, Brain Mapping, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Memory, Short-Term, Neural Pathways, Young Adult, Executive Function
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