Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment

R: A Language and Environment for Statistical Computing

R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works

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

The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798 · 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

Modularity and community structure in networks

Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256 · see citing works

Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works

A Caution Regarding Rules of Thumb for Variance Inflation Factors

O’brien, R. M. (2007) · Quality & Quantity · doi:10.1007/s11135-006-9018-6 · Cited by 11,217 · see citing works

Fast robust automated brain extraction

Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works

N4ITK: Improved N3 Bias Correction

Tustison, N. J., Avants, B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2046908 · Cited by 6,119 · see citing works

A Simple Test for Heteroscedasticity and Random Coefficient Variation

Breusch, T. S., & Pagan, A. R. (1979) · Econometrica · doi:10.2307/1911963 · Cited by 5,647 · see citing works

A reproducible evaluation of ANTs similarity metric performance in brain image registration

Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · 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

Accurate and robust brain image alignment using boundary-based registration

Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553 · see citing works

Tracking whole-brain connectivity dynamics in the resting state

Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · see citing works

Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity

Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4135 · Cited by 2,747 · see citing works

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration

Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.037 · Cited by 2,227 · see citing works

Assessment and Development of Executive Function (EF) During Childhood

Anderson, P. (2002) · Child Neuropsychology · doi:10.1076/chin.8.2.71.8724 · Cited by 2,218 · cited 1× · see citing works

An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data

Satterthwaite, T., Elliott, M., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M., Eickhoff, S., Hakonarson, H., Gur, R., Gur, R. E., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.052 · Cited by 1,900 · see citing works

Decoding subject-driven cognitive states with whole-brain connectivity patterns

Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr099 · Cited by 1,843 · see citing works

Emerging concepts for the dynamical organization of resting-state activity in the brain

Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798 · see citing works

Dynamic reconfiguration of human brain networks during learning

Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705 · see citing works

Multi-task connectivity reveals flexible hubs for adaptive task control

Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works

Intrinsic and task-evoked network architectures of the human brain

Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564 · see citing works

Intellectual ability and cortical development in children and adolescents

Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543 · see citing works

Functional brain networks develop from a local to distributed organization

Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530 · see citing works

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics

Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461 · see citing works

The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

Calhoun, V. D., Miller, R. L., Pearlson, G. D., & Adalı, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.015 · Cited by 1,388 · see citing works

Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy

Millan, M. J., Agid, Y., Brüne, M., Bullmore, E. T., Carter, C. S., Clayton, N. S., Connor, R., Davis, S., Deakin, B., DeRubeis, R. J., et al. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3628 · Cited by 1,292 · see citing works

Sex differences in the structural connectome of the human brain

Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316909110 · Cited by 1,223 · see citing works

Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth

Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works

Communities in NetworksPreprint

Porter, M., Onnela, J., & Mucha, P. (2009) · arXiv.org · doi:10.48550/arxiv.0902.3788 · Cited by 1,122 · see citing works

Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration

Cohen, J. D., McClure, S. M., & Yu, A. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2098 · Cited by 1,121 · see citing works

BOLD correlates of EEG topography reveal rapid resting-state network dynamics

Britz, J., Van De Ville, D., & Michel, C. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.052 · Cited by 1,070 · see citing works

Behavioral Inhibition: Linking Biology and Behavior within a Developmental Framework

Fox, N. A., Henderson, H. A., Marshall, P. J., Nichols, K. E., & Ghera, M. M. (2005) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.141532 · Cited by 1,040 · see citing works

Microstates in resting-state EEG: Current status and future directions

Khanna, A. R., Pascual‐Leone, Á., Michel, C. M., & Farzan, F. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.12.010 · Cited by 975 · see citing works

Advances and pitfalls in the analysis and interpretation of resting-state FMRI data

Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 950 · see citing works

Performance of modularity maximization in practical contexts

Good, B. H., de Montjoye, Y.-A., & Clauset, A. (2010) · Physical Review E · doi:10.1103/physreve.81.046106 · Cited by 937 · see citing works

EEG alpha map series: brain micro-states by space-oriented adaptive segmentation

Lehmann, D., Ozaki, H., & Pal, I. (1987) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(87)90025-3 · Cited by 917 · see citing works

Controllability of structural brain networks

Gu, S., Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., et al. (2015) · Nature Communications · doi:10.1038/ncomms9414 · Cited by 912 · see citing works

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.018 · Cited by 886 · see citing works

Executive Function: The Search for an Integrated Account

Banich, M. T. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01615.x · Cited by 840 · see citing works

Changes in structural and functional connectivity among resting-state networks across the human lifespan

Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807 · see citing works

Development of large-scale functional brain networks in children

Supekar, K., Musen, M., & Menon, V. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000157 · Cited by 807 · see citing works

Dynamic reconfiguration of frontal brain networks during executive cognition in humans

Braun, U., Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422487112 · Cited by 791 · see citing works

The metastable brain

Tognoli, E., & Kelso, J. A. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.022 · Cited by 718 · see citing works

Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements

Tustison, N. J., Cook, P. A., Klein, A., Song, G., Das, S. R., Duda, J. T., Kandel, B. M., van Strien, N., Stone, J. R., Gee, J. C., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.044 · Cited by 670 · see citing works

EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.

Van De Ville, D., Britz, J., & Michel, C. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007841107 · Cited by 606 · see citing works

Learning-induced autonomy of sensorimotor systems

Bassett, D. S., Yang, M., Wymbs, N. F., & Grafton, S. T. (2015) · Nature Neuroscience · doi:10.1038/nn.3993 · Cited by 603 · see citing works

A cognitive neuroscience based computerized battery for efficient measurement of individual differences: Standardization and initial construct validation

Gur, R., Richard, J., Hughett, P., Calkins, M., Macy, L., Bilker, W., Brensinger, C., & Gur, R. E. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.11.017 · Cited by 578 · see citing works

Neurobiological Circuits Regulating Attention, Cognitive Control, Motivation, and Emotion: Disruptions in Neurodevelopmental Psychiatric Disorders

Arnsten, A. F. T., & Rubia, K. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.01.008 · Cited by 568 · see citing works

Structural foundations of resting-state and task-based functional connectivity in the human brain

Hermundstad, A. M., Bassett, D. S., Brown, K., Aminoff, E., Clewett, D., Freeman, S., Frithsen, A., Johnson, A., Tipper, C. M., Miller, M. B., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219562110 · Cited by 559 · see citing works

An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data

Avants, B., Tustison, N. J., Wu, J., Cook, P. A., & Gee, J. C. (2011) · Neuroinformatics · doi:10.1007/s12021-011-9109-y · Cited by 559 · see citing works

How can we learn about developmental processes from cross-sectional studies, or can we?

Kraemer, H. C., Yesavage, J. A., Taylor, J. L., & Kupfer, D. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.2.163 · Cited by 548 · see citing works

Functional connectivity dynamics: modeling the switching behavior of the resting state

Hansen, E. C. A., Battaglia, D., Spiegler, A., Deco, G., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.001 · Cited by 528 · see citing works

Development of functional and structural connectivity within the default mode network in young children

Supekar, K., Uddin, L. Q., Prater, K. E., Amin, H., Greicius, M. D., & Menon, V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.009 · Cited by 524 · see citing works

Age group and sex differences in performance on a computerized neurocognitive battery in children age 8−21.

Gur, R. C., Richard, J., Calkins, M. E., Chiavacci, R., Hansen, J. A., Bilker, W. B., Loughead, J., Connolly, J. J., Qiu, H., Mentch, F. D., et al. (2012) · Neuropsychology · doi:10.1037/a0026712 · Cited by 507 · see citing works

Neuroimaging of the Philadelphia Neurodevelopmental Cohort

Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.064 · Cited by 504 · see citing works

The utility of the Wisconsin Card Sorting Test in detecting and localizing frontal lobe lesions.

Robinson, A. L., Heaton, R. K., Lehman, R. A. W., & Stilson, D. W. (1980) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.48.5.605 · Cited by 493 · see citing works

Activity flow over resting-state networks shapes cognitive task activations

Cole, M. W., Ito, T., Bassett, D. S., & Schultz, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4406 · Cited by 486 · see citing works

Mathematical problem solving and working memory in children with learning disabilities: Both executive and phonological processes are important

Swanson, H. L., & Sachse-Lee, C. (2001) · Journal of Experimental Child Psychology · doi:10.1006/jecp.2000.2587 · Cited by 443 · see citing works

Topological organization of the human brain functional connectome across the lifespan

Cao, M., Wang, J.-H., Dai, Z.-J., Cao, X.-Y., Jiang, L.-L., Fan, F.-M., Song, X.-W., Xia, M.-R., Shu, N., Dong, Q., et al. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.11.004 · Cited by 440 · 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

Robust detection of dynamic community structure in networks

Bassett, D. S., Porter, M. A., Wymbs, N. F., Grafton, S. T., Carlson, J. M., & Mucha, P. J. (2013) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4790830 · Cited by 425 · see citing works

Cognitive Network Neuroscience

Medaglia, J. D., Lynall, M.-E., & Bassett, D. S. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00810 · Cited by 419 · see citing works

Altered resting state complexity in schizophrenia

Bassett, D. S., Nelson, B. G., Mueller, B. A., Camchong, J., & Lim, K. O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.002 · Cited by 412 · see citing works

Robust detection of dynamic community structure in networks

Bassett, D. S., Porter, M. A., Wymbs, N. F., Grafton, S. T., Carlson, J. M., & Mucha, P. J. (2013) · Oxford University Research Archive (ORA) (University of Oxford) · Cited by 411 · see citing works

Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks

Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., & Winterer, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.093 · Cited by 387 · see citing works

Developing Cognitive Control

Munakata, Y., Snyder, H. R., & Chatham, C. H. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721412436807 · Cited by 369 · see citing works

A Guide to using the collinearity diagnostics

Belsley, D. A. (1991) · Computer Science in Economics and Management · doi:10.1007/bf00426854 · Cited by 358 · see citing works

The role of physiological noise in resting-state functional connectivity

Birn, R. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.016 · Cited by 357 · see citing works

Task-Based Core-Periphery Organization of Human Brain Dynamics

Bassett, D. S., Wymbs, N. F., Rombach, M. P., Porter, M. A., Mucha, P. J., & Grafton, S. T. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003171 · Cited by 356 · see citing works

Control-related systems in the human brain

Power, J. D., & Petersen, S. E. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.12.009 · Cited by 331 · see citing works

The Impact of Sex, Puberty, and Hormones on White Matter Microstructure in Adolescents

Herting, M. M., Maxwell, E. C., Irvine, C., & Nagel, B. J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr246 · Cited by 331 · see citing works

Psychometric Properties of the Penn Computerized Neurocognitive Battery

Moore, T. M., Reise, S. P., Gur, R. E., Hakonarson, H., & Gur, R. C. (2015) · Neuropsychology · doi:10.1037/neu0000093 · Cited by 325 · see citing works

The Dynamical Balance of the Brain at Rest

Deco, G., & Corbetta, M. (2010) · The Neuroscientist · doi:10.1177/1073858409354384 · Cited by 312 · see citing works

Functional maturation of the executive system during adolescence

Satterthwaite, T. D., Wolf, D. H., Erus, G., Ruparel, K., Elliott, M. A., Gennatas, E. D., Hopson, R., Jackson, C., Prabhakaran, K., Bilker, W. B., et al. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2345-13.2013 · Cited by 276 · see citing works

Neurodevelopment and executive function in autism

O'Hearn, K., Asato, M., Ordaz, S., & Luna, B. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000527 · Cited by 274 · see citing works

Metastable chimera states in community-structured oscillator networks

Shanahan, M. (2010) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3305451 · Cited by 274 · see citing works

Cognition Without Control

Thompson‐Schill, S. L., Ramscar, M., & Chrysikou, E. G. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01648.x · Cited by 272 · see citing works

The parahippocampal gyrus links the default‐mode cortical network with the medial temporal lobe memory system

Ward, A. M., Schultz, A. P., Huijbers, W., Dijk, K. R. A. V., Hedden, T., & Sperling, R. A. (2013) · Human Brain Mapping · doi:10.1002/hbm.22234 · Cited by 271 · see citing works

The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging

Ritter, P., Schirner, M., McIntosh, A. R., & Jirsa, V. K. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0120 · Cited by 268 · see citing works

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth

Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.045 · Cited by 253 · see citing works

The hierarchical organization of the lateral prefrontal cortex

Nee, D. E., & D'Esposito, M. (2016) · eLife · doi:10.7554/elife.12112 · Cited by 233 · see citing works

Resting-state anticorrelations between medial and lateral prefrontal cortex: Association with working memory, aging, and individual differences

Keller, J. B., Hedden, T., Thompson, T. W., Anteraper, S. A., Gabrieli, J. D. E., & Whitfield, S. (2014) · Cortex · doi:10.1016/j.cortex.2014.12.001 · Cited by 227 · see citing works

The development of hub architecture in the human functional brain network

Hwang, K., Hallquist, M. N., & Luna, B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs227 · Cited by 226 · see citing works

Tracking the Brain's Functional Coupling Dynamics over Development

Hutchison, R. M., & Morton, J. B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4638-14.2015 · Cited by 214 · see citing works

Age-related regional variations of the corpus callosum identified by diffusion tensor tractography

Lebel, C., Caverhill-Godkewitsch, S., & Beaulieu, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.072 · Cited by 209 · see citing works

Functional Interactions as Big Data in the Human Brain

Turk‐Browne, N. B. (2013) · Science · doi:10.1126/science.1238409 · Cited by 207 · see citing works

Resting-state networks predict individual differences in common and specific aspects of executive function

Reineberg, A. E., Andrews-Hanna, J. R., Depue, B. E., Friedman, N. P., & Banich, M. T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.045 · Cited by 206 · see citing works

Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns

Liu, X., Chang, C. E., & Duyn, J. H. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00101 · Cited by 206 · see citing works

The Control of Global Brain Dynamics: Opposing Actions of Frontoparietal Control and Default Mode Networks on Attention

Hellyer, P. J., Shanahan, M., Scott, G., Wise, R. J. S., Sharp, D. J., & Leech, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-13.2014 · Cited by 205 · see citing works

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention

Shine, J. M., Koyejo, S., & Poldrack, R. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604898113 · Cited by 203 · see citing works

Gender Differences in White Matter Microstructure

Kanaan, R., Allin, M. P. G., Picchioni, M., Barker, G. J., Daly, E., Shergill, S. S., Woolley, J., & McGuire, P. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038272 · Cited by 194 · see citing works

The relationship between executive functioning and verbal and visual learning and memory

Duff, K. M., Schoenberg, M. R., SCOTT, J., & ADAMS, R. (2004) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2004.03.003 · Cited by 175 · see citing works

A Functional Cartography of Cognitive Systems

Mattar, M. G., Cole, M. W., Thompson‐Schill, S. L., & Bassett, D. S. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004533 · Cited by 172 · see citing works

Variability of Brain Signals Processed Locally Transforms into Higher Connectivity with Brain Development

Vakorin, V. A., Lippé, S., & McIntosh, A. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3153-10.2011 · Cited by 171 · see citing works

The development of creative cognition across adolescence: distinct trajectories for insight and divergent thinking

Kleibeuker, S. W., Dreu, C. K. W. D., & Crone, E. A. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01176.x · Cited by 160 · see citing works

Brain State Differentiation and Behavioral Inflexibility in Autism

Uddin, L. Q., Supekar, K., Lynch, C. J., Cheng, K. M., Odriozola, P., Barth, M. E., Phillips, J. M., Feinstein, C., Abrams, D. A., & Menon, V. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu161 · Cited by 153 · see citing works

Predicting errors from reconfiguration patterns in human brain networks

Ekman, M., Derrfuß, J., Tittgemeyer, M., & Fiebach, C. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207523109 · Cited by 150 · see citing works

Sex differences in adolescent white matter architecture

Bava, S., Boucquey, V., Goldenberg, D., Thayer, R. E., Ward, M. E., Jacobus, J., & Tapert, S. F. (2010) · Brain Research · doi:10.1016/j.brainres.2010.12.051 · Cited by 144 · see citing works

Which “neural activity” do you mean? fMRI, MEG, oscillations and neurotransmitters

Singh, K. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.028 · Cited by 136 · see citing works

Overlapping brain activity between episodic memory encoding and retrieval: Roles of the task-positive and task-negative networks

Kim, H., Daselaar, S. M., & Cabeza, R. E. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.058 · Cited by 127 · see citing works

Regional brain axial and radial diffusivity changes during development

Kumar, R., Nguyen, H. D., Macey, P. M., Woo, M. A., & Harper, R. M. (2011) · Journal of Neuroscience Research · doi:10.1002/jnr.22757 · Cited by 113 · see citing works

Executive functioning as a mediator of the relationship between age and episodic memory in healthy aging

Troyer, A. K., Graves, R. E., & Cullum, C. M. (1994) · Aging Neuropsychology and Cognition · doi:10.1080/09289919408251449 · Cited by 87 · see citing works

Training creative cognition: adolescence as a flexible period for improving creativity

Stevenson, C. E., Kleibeuker, S. W., Dreu, C. K. W. D., & Crone, E. A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00827 · Cited by 82 · see citing works

Task-Based Core-Periphery Organisation of Human Brain DynamicsPreprint

Bassett, D. S., Wymbs, N. F., Rombach, M. P., Porter, M. A., Mucha, P. J., & Grafton, S. T. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1210.3555 · Cited by 81 · see citing works

How can studies of resting-state functional connectivity help us understand psychosis as a disorder of brain development?

Satterthwaite, T. D., & Baker, J. T. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.005 · Cited by 76 · see citing works

Dynamic shifts in brain network activation during supracapacity working memory task performance

Snellenberg, J. X. V., Slifstein, M., Read, C. A., Weber, J., Thompson, J. L., Wager, T. D., Daphna Shohamy, A., Abi‐Dargham, A., & Smith, E. E. (2014) · Human Brain Mapping · doi:10.1002/hbm.22699 · Cited by 62 · see citing works

It's a matter of time: Reframing the development of cognitive control as a modification of the brain's temporal dynamics

Hutchison, R. M., & Morton, J. B. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.08.006 · Cited by 51 · see citing works

Spontaneous neuronal activity predicts intersubject variations in executive control of attention

Xu, J., Rees, G. E., Yin, X., Song, C., Han, Y., Ge, H., Pang, Z., Xu, W., Tang, Y., Friston, K. J., et al. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.020 · Cited by 50 · see citing works

Visuomotor Functional Network Topology Predicts Upcoming Tasks

Heinzle, J., Wenzel, M., & Haynes, J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1604-12.2012 · Cited by 41 · see citing works

Haloperidol-induced changes in neuronal activity in the striatum of the freely moving rat

Yael, D., Zeef, D. H., Sand, D., Moran, A., Katz, D. B., Cohen, D., Temel, Y., & Bar‐Gad, I. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00110 · Cited by 39 · see citing works

Multi-atlas Segmentation with Learning-Based Label Fusion

Wang, H., Cao, Y., & Syeda-Mahmood, T. F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10581-9_32 · Cited by 22 · see citing works

Core-Periphery Organisation of Human Brain DynamicsPreprint

Bassett, D. S., Wymbs, N. F., Rombach, M. P., Porter, M. A., Mucha, P. J., & Grafton, S. T. (2012) · arXiv (Cornell University) · Cited by 10 · see citing works

IC‐P‐082: Abnormally reduced anti‐correlation between resting‐state default mode and fronto‐parietal networks is associated with memory impairment in MCI

Franzmeier, N., Simon‐Vermot, L., Caballero, M. Á. A., Taylor, A. N. W., Büerger, K., Ewers, M., & Initiative, A. D. N. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.06.103 · Cited by 2 · see citing works

Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands

Cornblath, E., Ashourvan, A., Kim, J. Z., Betzel, R. F., Ciric, R., Adebimpe, A., Baum, G. L., He, X.-S., Ruparel, K., Moore, T. M., et al. (2018) · Communications Biology · doi:10.1038/s42003-020-0961-x · Cited by 160 · see citing works

Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder

Uddin, L. Q. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.05.010 · Cited by 116 · see citing works

Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience

Bassett, D. S., Xia, C. H., & Satterthwaite, T. D. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.015 · Cited by 95 · see citing works

Alterations in Brain Network Topology and Structural-Functional Connectome Coupling Relate to Cognitive Impairment

Wang, J., Khosrowabadi, R., Ng, K. K., Hong, Z., Chong, J. S. X., Wang, Y., Chen, C.-Y., Hilal, S., Venketasubramanian, N., Wong, T. Y., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00404 · Cited by 92 · see citing works

Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity

Lydon-Staley, D., Ciric, R., Satterthwaite, T., & Bassett, D. (2019) · Network Neuroscience · doi:10.1162/netn_a_00071 · Cited by 71 · see citing works

Frontoparietal and default mode network connectivity varies with age and intelligence

DeSerisy, M., Ramphal, B., Pagliaccio, D., Raffanello, E., Tau, G. Z., Marsh, R., Posner, J. E., & Margolis, A. E. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100928 · Cited by 79 · see citing works

Brain state flexibility accompanies motor-skill acquisition

Reddy, P. G., Mattar, M. G., Murphy, A. C., Wymbs, N. F., Grafton, S. T., Satterthwaite, T. D., & Bassett, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.093 · Cited by 58 · see citing works

Does the child brain rest?: An examination and interpretation of resting cognition in developmental cognitive neuroscience

Camacho, M. C., Quiñones‐Camacho, L. E., & Perlman, S. B. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116688 · Cited by 59 · see citing works

Network Approaches to Understand Individual Differences in Brain Connectivity: Opportunities for Personality Neuroscience

Tompson, S., Falk, E. B., Vettel, J. M., & Bassett, D. S. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.4 · Cited by 51 · see citing works

Dynamic functioning of transient resting‐state coactivation networks in the Human Connectome Project

Janes, A. C., Peechatka, A. L., Frederick, B. B., & Kaiser, R. H. (2019) · Human Brain Mapping · doi:10.1002/hbm.24808 · Cited by 44 · see citing works

Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder

Esfahlani, F. Z., Byrge, L., Tanner, J. C., Sporns, O., Kennedy, D. P., & Betzel, R. F. (2021) · bioRxiv · doi:10.1016/j.neuroimage.2022.119591 · Cited by 50 · see citing works

Progressive Stabilization of Brain Network Dynamics during Childhood and Adolescence

Lei, T., Liao, X., Chen, X., Zhao, T., Xu, Y., Xia, M., Zhang, J., Xia, Y., Sun, X., Wei, Y., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab263 · Cited by 36 · see citing works

Differentiated Effects of Robot Hand Training With and Without Neural Guidance on Neuroplasticity Patterns in Chronic Stroke

Wang, X., Wong, W.-W., Sun, R., Chu, C. W., & Tong, R. K. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00810 · Cited by 35 · see citing works

Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations

Yang, Z., Telesford, Q. K., Franco, A. R., Lim, R. W.-S., Gu, S., Xu, T., Ai, L., Castellanos, F. X., Yan, C., Colcombe, S. J., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117489 · Cited by 34 · see citing works

Clarifying cognitive control and the controllable connectome

Medaglia, J. D. (2018) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1471 · Cited by 31 · see citing works

Moral attitudes and willingness to enhance and repair cognition with brain stimulation

Medaglia, J. D., Yaden, D. B., Helion, C., & Haslam, M. (2018) · Brain stimulation · doi:10.1016/j.brs.2018.09.014 · Cited by 31 · see citing works

Linking brain network reconfiguration and intelligence: Are we there yet?

Girn, M., Mills, C., & Kalina Christoff, A. (2019) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2019.04.001 · Cited by 29 · see citing works

Adolescent-to-adult gains in cognitive flexibility are adaptively supported by reward sensitivity, exploration, and neural variability

Parr, A. C., Sydnor, V. J., Calabro, F. J., & Luna, B. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101399 · Cited by 27 · see citing works

Neurocognitive and functional heterogeneity in depressed youth

Baller, E. B., Kaczkurkin, A. N., Sotiras, A., Adebimpe, A., Bassett, D. S., Calkins, M. E., Chand, G. B., Cui, Z., Gur, R. E., Gur, R. C., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00871-w · Cited by 29 · see citing works

Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry

Lydon‐Staley, D. M., & Bassett, D. S. (2018) · Current topics in behavioral neurosciences · doi:10.1007/7854_2018_41 · Cited by 22 · see citing works

The modulation of brain network integration and arousal during exploration

Tardiff, N., Medaglia, J. D., Bassett, D. S., & Thompson‐Schill, S. L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118369 · Cited by 23 · see citing works

Development of Dynamic Functional Architecture during Early Infancy

Wen, X., Wang, R., Yin, W., Lin, W., Zhang, H., & Shen, D. G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa128 · Cited by 22 · 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

The Promise and Challenges of Intensive Longitudinal Designs for Imbalance Models of Adolescent Substance Use

Lydon‐Staley, D. M., & Bassett, D. S. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01576 · Cited by 21 · see citing works

Equalization of Brain State Occupancy Accompanies Cognitive Impairment in Cerebral Small Vessel Disease

Schlemm, E., Frey, B. M., Mayer, C., Petersen, M., Fiehler, J., Hanning, U. M. P., Kühn, S., Twerenbold, R., Gallinat, J., Gerloff, C. P., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.03.019 · Cited by 20 · see citing works

Hierarchical organization of spontaneous co-fluctuations in densely sampled individuals using fMRI

Betzel, R. F., Cutts, S. A., Tanner, J., Greenwell, S. A., Varley, T. F., Faskowitz, J., & Sporns, O. (2023) · Network Neuroscience · doi:10.1162/netn_a_00321 · Cited by 20 · see citing works

Disrupted Dynamic Interactions Between Large-Scale Brain Networks in Cocaine Users Are Associated With Dependence Severity

Zhai, T., Gu, H., Salmeron, B. J., Stein, E. A., & Yang, Y. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.08.010 · Cited by 18 · see citing works

Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks

Bahrami, M., Lyday, R. G., Casanova, R., Burdette, J. H., Simpson, S. L., & Laurienti, P. J. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00430 · Cited by 16 · see citing works

Alterations in white matter network dynamics in patients with schizophrenia and bipolar disorder

Wang, B., Zhang, S., Yu, X., Niu, Y., Niu, J., Li, D., Zhang, S., Xiang, J., Yan, T., Yang, J., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25892 · Cited by 15 · see citing works

Neural alterations in opioid-exposed infants revealed by edge-centric brain functional networks

Jiang, W., Merhar, S. L., Zeng, Z., Zhu, Z., Yin, W., Zhou, Z., Wang, L., He, L., Vannest, J. J., & Lin, W. (2022) · Brain Communications · doi:10.1093/braincomms/fcac112 · Cited by 15 · see citing works

Few temporally distributed brain connectivity states predict human cognitive abilities

Wehrheim, M. H., Faskowitz, J., Sporns, O., Fiebach, C. J., Kaschube, M., & Hilger, K. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120246 · Cited by 13 · see citing works

Development of brain state dynamics involved in working memory

He, Y., Liang, X., Chen, M., Tian, T., Zeng, Y., Liu, J., Lei, H. C., Xu, J., Chen, R., Wang, Y., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad022 · Cited by 12 · see citing works

Episodic memory in aspects of brain information transfer by resting-state network topology

Yan, T., Wang, G., Wang, L., Liu, T., Li, T., Wang, L., Chen, D., Funahashi, S., Wu, J., Wang, B., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab526 · Cited by 9 · see citing works

Dynamic neural circuit disruptions associated with antisocial behaviors

Jiang, W., Zhang, H., Zeng, L., Shen, H., Qin, J., Thung, K., Yap, P., Liu, H., Hu, D., Wang, W., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25225 · Cited by 8 · see citing works

Dynamic transient brain states in preschoolers mirror parental report of behavior and emotion regulation

Toffoli, L., Zdorovtsova, N., Epihova, G., Duma, G. M., Cristaldi, F. D. P., Pastore, M., Astle, D. E., & Mento, G. (2024) · Human Brain Mapping · doi:10.1002/hbm.70011 · Cited by 7 · see citing works

Neuroimaging markers of aberrant brain activity and treatment response in schizophrenia patients based on brain complexity

Liu, L., Li, Z., Kong, D., Huang, Y., Wu, D., Zhao, H., Gao, X., Zhang, X., & Yang, M. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03067-8 · Cited by 6 · see citing works

Context-dependent architecture of brain state dynamics is explained by white matter connectivity and theories of network controlPreprint

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 8 · see citing works

Integration of simultaneous fMRI and EEG source localization in emotional decision problems

Jiang, Z., Liu, Y., Li, W., Dai, Y., & Zou, L. (2023) · Behavioural Brain Research · doi:10.1016/j.bbr.2023.114445 · Cited by 5 · see citing works

Variation in moment-to-moment brain state engagement follows a consistent trajectory during development

Ye, J., Tejavibulya, L., Dai, W.-S., Cope, L., Hardee, J., Heitzeg, M., Lichenstein, S., Yip, S., Banaschewski, T., Baker, G. J., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.08.020 · Cited by 3 · see citing works

Evidence of Brain Modularity

Kelkar, A. S., & Medaglia, J. D. (2018) · Springer eBooks · doi:10.1007/978-3-319-16999-6_2422-1 · Cited by 4 · see citing works

The entropy of resting-state neural dynamics is a marker of general cognitive ability in childhoodPreprint

Zdorovtsova, N., Young, E. J., Akarca, D., Anwyl-Irvine, A. L., The RED Team, The CALM Team, & Astle, D. E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.08.552448 · Cited by 4 · see citing works

Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive functionPreprint

Ye, J., Tejavibulya, L., Dai, W.-S., Cope, L., Hardee, J., Heitzeg, M., Lichenstein, S., Yip, S., Banaschewski, T., Baker, G. J., et al. (2024) · bioRxiv · doi:10.1101/2024.09.06.611627 · Cited by 3 · see citing works

Neural dynamics of deception: insights from fMRI studies of brain states

Jiang, W., Li, L., Xia, Y., Farooq, S., Li, G., Li, S., Xu, J., He, S., Wu, X., Huang, S., et al. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10222-4 · Cited by 3 · see citing works

The default mode network throughout the lifespan: A state-of-the-art scoping review on its development and association to individual cognitive functioning

Baptista, C., Vallesi, A., & Menardi, A. (2026) · Developmental Review · doi:10.1016/j.dr.2026.101250 · Cited by 3 · see citing works

Development of brain metastable dynamics during the equivalent of the third gestational trimester

Champaud, J. L. Y., Asite, S., & Lorenzo Fabrizi, D. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101556 · Cited by 3 · see citing works

Estimating repetitive spatiotemporal patterns from many subjects’ resting-state fMRIs

Takeda, Y., Itahashi, T., Sato, M.-A., & Yamashita, O. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116182 · Cited by 4 · see citing works

State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project

Zhao, Z., Li, R., Wu, Y., Li, M., & Wu, D. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101496 · Cited by 2 · see citing works

Discrete Attractor Pattern Recognition During Resting State in EEG Signal

Abdullah, N. F., Tang, T. B., & Ho, E. T. W. (2021) · International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA) · doi:10.1109/icicyta53712.2021.9689105 · Cited by 2 · see citing works

Early Development of Infant Brain Complex Network

Jiang, W., Zhang, H., Hsu, L., Hu, D., Li, G., Wu, Y., & Shen, D. G. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32245-8_92 · Cited by 2 · see citing works

Pathological brain states in Alzheimer’s diseasePreprint

Adams, J. N., Kark, S. M., Chappel-Farley, M. G., Escalante, Y. Y., Stith, L., Rapp, P. E., Yassa, M. A., & Initiative, T. A. D. N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.30.555617 · Cited by 2 · see citing works

Dynamic reconfiguration of brain coactivation states that underlying working memory correlates with cognitive decline in clinically unimpaired older adults

Li, L., Chen, Z., Zhang, L., Zhang, M., Liu, H., Wu, D., Ren, P., & Zhang, Z. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhad546 · Cited by 1 · see citing works

Moral Reasoning: A Network Neuroscience Perspective

Anderson, E. D., & Barbey, A. K. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108580298.025 · Cited by 1 · see citing works

Stabilization of Brain Network Dynamics during Childhood and Adolescence is Associated with Gene ExpressionsPreprint

Lei, T., Liao, X., Chen, X., Zhao, T., Xu, Y., Xia, M., Zhang, J., Sun, X., Wei, Y., Men, W., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.03.433828 · Cited by 1 · see citing works

Evidence of Brain Modularity

Kelkar, A. S., & Medaglia, J. D. (2021) · Springer eBooks · doi:10.1007/978-3-319-19650-3_2422 · Cited by 1 · see citing works

Human Intelligence and the Connectome are Driven by Structural Brain Network ControlPreprint

Anderson, E. D., Varshney, L. R., Hemmatian, B., Robles-Granda, P., Nayak, A. K., Wilcox, R. R., Zwilling, C. E., Kim, B., & Barbey, A. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.02.551642 · Cited by 1 · see citing works

Moral attitudes and willingness to induce cognitive enhancement and repair with brain stimulation

Medaglia, J. D., Yaden, D. B., Helion, C., & Haslam, M. (2018) · PubMed Central · doi:10.48550/arxiv.1801.09024

Linking flexibility of brain networks to cognitive development in preschool childrenPreprint

Chamakura, L., Daimi, S. N., Watanabe, K., Bhattacharya, J., & Saha, G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.24.005074

Dysfunctional Attention Processing in Children with Clinical IrritabilityPreprint

Camacho, M. C., Fishburn, F. A., Karim, H. T., Wakschlag, L. S., & Perlman, S. B. (2020) · doi:10.31234/osf.io/npbw7

Altered brain dynamics across bipolar disorder and schizophrenia revealed by overlapping brain statesPreprint

Ye, J., Sun, H., Gao, S., Dadashkarimi, J., Rosenblatt, M., Rodriguez, R. X., Mehta, S., Jiang, R., Noble, S., Westwater, M. L., et al. (2022) · medRxiv · doi:10.1101/2022.10.07.22280835

Brain Mechanism of Cognitive Control and the Effects of Aging

彭, 潘. (2023) · Advances in Psychology · doi:10.12677/ap.2023.133133

Hierarchical neural variability reveals adaptive and maladaptive mechanisms of non-suicidal self-injury

Li, J., Xie, Y., Ni, F., Tang, E., Xu, Z., Wu, Z., Wu, S., & Wang, C. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03671-8 · Cited by 1 · see citing works

Probabilistic Cognitive State Modeling (PCSM): Decoding dynamic brain states to derive emergent cognitive processing properties from task fMRI

Winters, D. E. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121807

Dynamic functional connectivity in borderline personality disorder: associations with trauma, emotion regulation and symptom severity

Rana, A., Otte, M., Fazio, G., Olivio, D., Prieult, Y. L., Schmitgen, M. M., Balcik, Y., Koç, M. İ., Tech, C., Wolf, N. D., et al. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02255-5

State-level brain dynamics reveal neural correlates of negative-mode rigidity in non-suicidal self-injury

Li, J., Lai, J., Ni, F., Xie, Y., Tang, E., Tang, Y., & Wang, C. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121990

Flexible Traversal Through Diverse Brain States Underlies Executive Function in Normative NeurodevelopmentPreprint

Medaglia, J. D., Satterthwaite, T. D., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., & Bassett, D. S. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1510.08780 · Cited by 13 · see citing works

Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive functionPreprint

Ye, J., Tejavibulya, L., Dai, W.-S., Cope, L., Hardee, J., Heitzeg, M., Lichenstein, S., Yip, S., Banaschewski, T., Baker, G. J., et al. (2024) · bioRxiv · doi:10.1101/2024.09.06.611627 · Cited by 3 · see citing works

Evolution of brain network dynamics in neurodevelopment

Chai, L. R., Khambhati, A. N., Ciric, R., Moore, T. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2017) · Network Neuroscience · doi:10.1162/netn_a_00001 · Cited by 100 · see citing works

Variation in moment-to-moment brain state engagement follows a consistent trajectory during development

Ye, J., Tejavibulya, L., Dai, W.-S., Cope, L., Hardee, J., Heitzeg, M., Lichenstein, S., Yip, S., Banaschewski, T., Baker, G. J., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.08.020 · Cited by 3 · see citing works

Neural activity patterns between different executive tasks are more similar in adulthood than in adolescence

Moisala, M., Salmela, V. R., Carlson, S., Salmela‐Aro, K., Lonka, K., Hakkarainen, K., & Alho, K. (2018) · Brain and Behavior · doi:10.1002/brb3.1063 · Cited by 18 · see citing works