{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T04:11:49Z","timestamp":1791346309679,"version":"4.3.1"},"reference-count":101,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>A growing understanding of the nature of brain function has led to increased interest in interpreting the properties of large-scale brain networks. Methodological advances in network neuroscience provide means to decompose these networks into smaller functional communities and measure how they reconfigure over time as an index of their dynamic and flexible properties. Recent evidence has identified associations between flexibility and a variety of traits pertaining to complex cognition including creativity and working memory. The present study used measures of dynamic resting-state functional connectivity in data from the Human Connectome Project (n\u2009=\u2009994) to test associations with Openness\/Intellect, general intelligence, and psychoticism, three traits that involve flexible cognition. Using a machine-learning cross-validation approach, we identified reliable associations of intelligence with cohesive flexibility of parcels in large communities across the cortex, of psychoticism with disjoint flexibility, and of Openness\/Intellect with overall flexibility among parcels in smaller communities. These findings are reasonably consistent with previous theories of the neural correlates of these traits and help to expand on previous associations of behavior with dynamic functional connectivity, in the context of broad personality dimensions.<\/jats:p>","DOI":"10.1093\/cercor\/bhae391","type":"journal-article","created":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T20:11:55Z","timestamp":1726085515000},"source":"Crossref","is-referenced-by-count":8,"title":["Stable individual differences from dynamic patterns of function: brain network flexibility predicts openness\/intellect, intelligence, and psychoticism"],"prefix":"10.1093","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2890-5560","authenticated-orcid":false,"given":"Tyler A","family":"Sassenberg","sequence":"first","affiliation":[{"name":"Department of Psychology, University of Minnesota , 75 East River Parkway, Minneapolis, MN 55455 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam","family":"Safron","sequence":"additional","affiliation":[{"name":"Center for Psychedelic and Consciousness Research, Johns Hopkins University School of Medicine , 5510 Nathan Shock Drive, Baltimore, MD 21224 ,","place":["United States"]},{"name":"Institute for Advanced Consciousness Studies , 2811 Wilshire Boulevard, Santa Monica, CA 90403 ,","place":["United States"]},{"name":"Cognitive Science Program, Indiana University , 1001 East 10th Street, Bloomington, IN 47405 ,","place":["United States"]},{"name":"Kinsey Institute, Indiana University , 150 South Woodlawn Avenue, Bloomington, IN 47405 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Colin G","family":"DeYoung","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Minnesota , 75 East River Parkway, Minneapolis, MN 55455 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,9,27]]},"reference":[{"key":"2024092711072523700_ref1a","volume-title":"Achenbach System of Empirically Based Assessment (ASEBA): Development, Findings, Theory, and Applications","author":"Achenbach","year":"2009"},{"key":"2024092711072523700_ref1","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.neuroimage.2014.12.046","article-title":"Is functional integration of resting state brain networks an unspecific biomarker for working memory performance?","volume":"108","author":"Alavash","year":"2015","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref2","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1093\/cercor\/bhs352","article-title":"Tracking whole-brain connectivity dynamics in the resting state","volume":"24","author":"Allen","year":"2014","journal-title":"Cereb Cortex"},{"key":"2024092711072523700_ref3","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/0013-4694(95)00228-6","article-title":"Event-related coherence as a tool for studying dynamic interactions of brain regions","volume":"98","author":"Andrew","year":"1996","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"2024092711072523700_ref4","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1162\/jocn_a_01487","article-title":"Distributed patterns of functional connectivity predict working memory performance in novel healthy and memory-impaired individuals","volume":"32","author":"Avery","year":"2020","journal-title":"J Cogn Neurosci"},{"key":"2024092711072523700_ref5","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1001\/jamapsychiatry.2013.3469","article-title":"Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder. 2014","volume":"71","author":"Baker","year":"2014","journal-title":"JAMA Psychiatry"},{"key":"2024092711072523700_ref6","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.tics.2017.10.001","article-title":"Network neuroscience theory of human intelligence","volume":"22","author":"Barbey","year":"2018","journal-title":"Trends Cogn Sci"},{"key":"2024092711072523700_ref6a","doi-asserted-by":"publisher","DOI":"10.1063\/1.4790830","article-title":"Robust detection of dynamic community structure in networks","volume":"23","author":"Bassett","year":"2013","journal-title":"Chaos"},{"key":"2024092711072523700_ref7","doi-asserted-by":"publisher","first-page":"7641","DOI":"10.1073\/pnas.1018985108","article-title":"Dynamic reconfiguration of human brain networks during learning","volume":"108","author":"Bassett","year":"2011","journal-title":"Proc Natl Acad Sci"},{"key":"2024092711072523700_ref8","doi-asserted-by":"publisher","first-page":"10964","DOI":"10.1038\/srep10964","article-title":"Default and executive network coupling supports creative idea production","volume":"5","author":"Beaty","year":"2015","journal-title":"Sci Rep"},{"key":"2024092711072523700_ref9","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1162\/NETN_a_00002","article-title":"The modular organization of human anatomical brain networks: accounting for the cost of wiring","volume":"1","author":"Betzel","year":"2017","journal-title":"Network Neuroscience."},{"key":"2024092711072523700_ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-017-00425-z","article-title":"Positive affect, surprise, and fatigue are correlates of network flexibility","volume":"7","author":"Betzel","year":"2017","journal-title":"Sci Rep"},{"key":"2024092711072523700_ref11","doi-asserted-by":"publisher","first-page":"115990","DOI":"10.1016\/j.neuroimage.2019.07.003","article-title":"The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability","volume":"202","author":"Betzel","year":"2019","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref12","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1093\/schbul\/sbz103","article-title":"Toward a neural model of the openness-psychoticism dimension: functional connectivity in the default and frontoparietal control networks","volume":"46","author":"Blain","year":"2020","journal-title":"Schizophr Bull"},{"key":"2024092711072523700_ref13","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1037\/bul0000365","article-title":"Personality stability and change: a meta-analysis of longitudinal studies","volume":"148","author":"Bleidorn","year":"2022","journal-title":"Psychol Bull"},{"key":"2024092711072523700_ref14","doi-asserted-by":"publisher","first-page":"11678","DOI":"10.1073\/pnas.1422487112","article-title":"Dynamic reconfiguration of frontal brain networks during executive cognition in humans","volume":"112","author":"Braun","year":"2015","journal-title":"Proc Natl Acad Sci"},{"key":"2024092711072523700_ref15","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1038\/nn.4497","article-title":"Dynamic models of large-scale brain activity","volume":"20","author":"Breakspear","year":"2017","journal-title":"Nat Neurosci"},{"key":"2024092711072523700_ref16","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1016\/j.neuron.2010.11.022","article-title":"Dopamine in motivational control: rewarding, aversive, and alerting","volume":"68","author":"Bromberg-Martin","year":"2010","journal-title":"Neuron"},{"key":"2024092711072523700_ref17","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.1177\/1745691620964122","article-title":"Can you ever be too smart for your own good? Comparing linear and nonlinear effects of cognitive ability on life outcomes","volume":"16","author":"Brown","year":"2021","journal-title":"Perspect Psychol Sci"},{"key":"2024092711072523700_ref18","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1038\/nrn3214","article-title":"The economy of brain network organization","volume":"13","author":"Bullmore","year":"2012","journal-title":"Nat Rev Neurosci"},{"key":"2024092711072523700_ref19","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1089\/brain.2016.0435","article-title":"Evaluation of denoising strategies to address motion-correlated artifacts in resting-state functional magnetic resonance imaging data from the Human Connectome Project","volume":"6","author":"Burgess","year":"2016","journal-title":"Brain Connect"},{"key":"2024092711072523700_ref20","doi-asserted-by":"publisher","first-page":"2217","DOI":"10.1038\/s41467-022-29766-8","article-title":"Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study","volume":"13","author":"Chen","year":"2022","journal-title":"Nat Commun"},{"key":"2024092711072523700_ref21","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.neuroimage.2017.04.054","article-title":"Individual parcellation of resting fMRI with a group functional connectivity prior","volume":"156","author":"Chong","year":"2017","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref22","doi-asserted-by":"publisher","first-page":"8988","DOI":"10.1523\/JNEUROSCI.0536-12.2012","article-title":"Global connectivity of prefrontal cortex predicts cognitive control and intelligence","volume":"32","author":"Cole","year":"2012","journal-title":"J Neurosci"},{"key":"2024092711072523700_ref23","article-title":"Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI) Professional Manual","author":"Costa","year":"1992","journal-title":"Psychol Assess Resour"},{"key":"2024092711072523700_ref24","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1037\/0022-3514.91.6.1138","article-title":"Higher-order factors of the Big Five in a multi-informant sample","volume":"91","author":"DeYoung","year":"2006","journal-title":"J Pers Soc Psychol"},{"key":"2024092711072523700_ref25","doi-asserted-by":"publisher","first-page":"762","DOI":"10.3389\/fnhum.2013.00762","article-title":"The neuromodulator of exploration: a unifying theory of the role of dopamine in personality","volume":"7","author":"DeYoung","year":"2013","journal-title":"Front Hum Neurosci"},{"key":"2024092711072523700_ref26","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.jrp.2014.07.004","article-title":"Cybernetic Big Five Theory","volume":"56","author":"DeYoung","year":"2015","journal-title":"J Res Pers"},{"key":"2024092711072523700_ref27","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.jrp.2011.12.003","article-title":"From madness to genius: the Openness\/Intellect trait domain as a paradoxical simplex","volume":"46","author":"DeYoung","year":"2012","journal-title":"J Res Pers"},{"key":"2024092711072523700_ref28","doi-asserted-by":"crossref","first-page":"2017284","DOI":"10.1098\/rstb.2017.0284","article-title":"A distributed brain network predicts general intelligence from resting-state human neuroimaging data","volume":"373","author":"Dubois","year":"2018","journal-title":"Philos Trans R Soc B Biol Sci"},{"key":"2024092711072523700_ref29","doi-asserted-by":"publisher","first-page":"e6","DOI":"10.1017\/pen.2018.8","article-title":"Resting-state functional brain connectivity best predicts the personality dimension of openness to experience","volume":"1","author":"Dubois","year":"2018","journal-title":"Personal Neurosci"},{"key":"2024092711072523700_ref30","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/j.biopsych.2008.05.015","article-title":"The dual-state theory of prefrontal cortex dopamine function with relevance to catechol-O-methyltransferase genotypes and schizophrenia","volume":"64","author":"Durstewitz","year":"2008","journal-title":"Biol Psychiatry"},{"key":"2024092711072523700_ref31","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1016\/j.neuroimage.2011.05.021","article-title":"Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation","volume":"57","author":"Eickhoff","year":"2011","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref32","volume-title":"HCP Data Release Updates: Known Issues and Planned Fixes","author":"Elam","year":"2015"},{"key":"2024092711072523700_ref33","doi-asserted-by":"publisher","first-page":"e64058","DOI":"10.7554\/eLife.64058","article-title":"The neural basis of intelligence in fine-grained cortical topographies","volume":"10","author":"Feilong","year":"2021","journal-title":"elife"},{"key":"2024092711072523700_ref34","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1080\/07350015.1983.10509354","article-title":"A nonstochastic interpretation of reported significance levels","volume":"1","author":"Freedman","year":"1983","journal-title":"J Bus Econ Stat"},{"key":"2024092711072523700_ref35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J Stat Softw"},{"key":"2024092711072523700_ref36","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","article-title":"Community structure in social and biological networks","volume":"99","author":"Girvan","year":"2002","journal-title":"Proc Natl Acad Sci"},{"key":"2024092711072523700_ref37","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","article-title":"WU-Minn HCP consortium. The minimal preprocessing pipelines for the human connectome project","volume":"80","author":"Glasser","year":"2013","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref38","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/S0160-2896(97)90014-3","article-title":"Why g matters: the complexity of everyday life","volume":"24","author":"Gottfredson","year":"1997","journal-title":"Intelligence"},{"key":"2024092711072523700_ref39","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.neuroimage.2017.04.015","article-title":"Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems","volume":"155","author":"Griffa","year":"2017","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref40","doi-asserted-by":"publisher","first-page":"1444","DOI":"10.1093\/cercor\/bhaa282","article-title":"Structural and functional brain parameters related to cognitive performance across development: replication and extension of the Parieto-frontal integration theory in a single sample","volume":"31","author":"Gur","year":"2021","journal-title":"Cereb Cortex"},{"key":"2024092711072523700_ref41","doi-asserted-by":"publisher","first-page":"1569","DOI":"10.1038\/s41593-022-01186-3","article-title":"Mapping neurotransmitter systems to the structural and functional organization of the human neocortex","volume":"25","author":"Hansen","year":"2022","journal-title":"Nat Neurosci"},{"key":"2024092711072523700_ref42","doi-asserted-by":"publisher","first-page":"e13464","DOI":"10.1111\/psyp.13464","article-title":"Brain flexibility associated with need for cognition contributes to creative achievement","volume":"56","author":"He","year":"2019","journal-title":"Psychophysiology"},{"key":"2024092711072523700_ref43","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1017\/S1355617714000241","article-title":"Reliability and validity of composite scores from the NIH toolbox cognitive battery in adults","volume":"20","author":"Heaton","year":"2014","journal-title":"J Int Neuropsychol Soc"},{"key":"2024092711072523700_ref44","doi-asserted-by":"publisher","first-page":"6495","DOI":"10.1093\/cercor\/bhac520","article-title":"Predicting executive functioning from functional brain brain connectivity: network specificity and age effects","volume":"33","author":"Heckner","year":"2023","journal-title":"Cereb Cortex"},{"key":"2024092711072523700_ref45","doi-asserted-by":"publisher","first-page":"16088","DOI":"10.1038\/s41598-017-15795-7","article-title":"Intelligence is associated with the modular structure of intrinsic brain networks","volume":"7","author":"Hilger","year":"2017","journal-title":"Sci Rep"},{"key":"2024092711072523700_ref46","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","article-title":"Independent components analysis: algorithms and applications","volume":"13","author":"Hyv\u04d3rinen","year":"2000","journal-title":"Neural Netw"},{"key":"2024092711072523700_ref47","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1017\/S0140525X07001185","article-title":"The parieto-frontal integration theory (P-FIT) of intelligence: converging neuroimaging evidence","volume":"30","author":"Jung","year":"2007","journal-title":"Behav Brain Sci"},{"key":"2024092711072523700_ref48","volume-title":"A generalized Louvain method for community detection implemented in MATLAB","author":"Jutla","year":"2011"},{"key":"2024092711072523700_ref49","doi-asserted-by":"publisher","first-page":"7751","DOI":"10.1038\/ncomms8751","article-title":"Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks","volume":"6","author":"Karahano\u011flu","year":"2015","journal-title":"Nat Commun"},{"key":"2024092711072523700_ref50","doi-asserted-by":"publisher","first-page":"2533","DOI":"10.1093\/cercor\/bhy123","article-title":"Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion","volume":"29","author":"Kong","year":"2019","journal-title":"Cereb Cortex"},{"key":"2024092711072523700_ref51","doi-asserted-by":"publisher","first-page":"4477","DOI":"10.1093\/cercor\/bhab101","article-title":"Individual-specific areal-level parcellations improve functional connectivity prediction of behavior","volume":"31","author":"Kong","year":"2021","journal-title":"Cereb Cortex"},{"key":"2024092711072523700_ref52","volume-title":"Caret: classification and regression training. R package version 6.0-90","author":"Kuhn","year":"2021"},{"key":"2024092711072523700_ref53","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1002\/hbm.21297","article-title":"Functional brain network efficiency predicts intelligence","volume":"33","author":"Langer","year":"2012","journal-title":"Hum Brain Mapp"},{"key":"2024092711072523700_ref54","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1177\/0956797612471540","article-title":"General cognitive ability and the psychological refractory period: individual differences in the mind\u2019s bottleneck","volume":"24","author":"Lee","year":"2013","journal-title":"Psycho Sci"},{"key":"2024092711072523700_ref55","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/s41109-019-0232-2","article-title":"A review of stochastic block models and extensions for graph clustering","volume":"4","author":"Lee","year":"2019","journal-title":"Appl Netw Sci"},{"key":"2024092711072523700_ref56","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.neuroimage.2014.09.007","article-title":"On spurious and real fluctuations of dynamic functional connectivity during rest","volume":"104","author":"Leonardi","year":"2015","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref57","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1162\/netn_a_00329","article-title":"The effect of using group-averaged or individualized brain parcellations when investigating connectome dysfunction in psychosis","volume":"7","author":"Levi","year":"2023","journal-title":"Network Neuroscience"},{"key":"2024092711072523700_ref58","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.neuropsychologia.2014.11.033","article-title":"Increased cortical thickness and altered functional connectivity of the right superior temporal gyrus in left-handers","volume":"67","author":"Li","year":"2015","journal-title":"Neuropsychologia"},{"key":"2024092711072523700_ref59","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.neuroimage.2019.04.016","article-title":"Global signal regression strengthens association between resting-state functional connectivity and behavior","volume":"196","author":"Li","year":"2019","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref60","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1016\/j.bpsgos.2022.08.011","article-title":"Resting-state functional connectivity explained psychotic-like experiences in the general population and partially generalized to patients and relatives","volume":"3","author":"Ma","year":"2022","journal-title":"Biol Psychiatry Global Open Science"},{"key":"2024092711072523700_ref61","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.neuroimage.2004.10.044","article-title":"Fractional Gaussian noise, functional MRI and Alzheimer\u2019s disease","volume":"25","author":"Maxim","year":"2005","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref62","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1037\/neu0000093","article-title":"Psychometric properties of the Penn computerized neurocognitive battery","volume":"29","author":"Moore","year":"2015","journal-title":"Neuropsychology"},{"key":"2024092711072523700_ref63","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1126\/science.1184819","article-title":"Community structure in time-dependent, multiscale, and multiplex networks","volume":"328","author":"Mucha","year":"2010","journal-title":"Science"},{"key":"2024092711072523700_ref64","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/nphys2162","article-title":"Communities, modules and large-scale structure in networks","volume":"8","author":"Newman","year":"2012","journal-title":"Nat Phys"},{"key":"2024092711072523700_ref64a","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.neuroimage.2014.09.017","article-title":"Increased functional connectivity within mesocortical networks in open people","volume":"104","author":"Passamonti","year":"2015","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref65","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1038\/s41598-020-80293-2","article-title":"Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition","volume":"11","author":"Patil","year":"2021","journal-title":"Sci Rep"},{"key":"2024092711072523700_ref66","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.neuroimage.2015.01.034","article-title":"Functional resting-state connectivity of the human motor network: differences between right- and left-handers","volume":"109","author":"Pool","year":"2015","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref67","first-page":"1082","article-title":"Communities in networks","volume":"56","author":"Porter","year":"2009","journal-title":"Notices Am Math Soc"},{"key":"2024092711072523700_ref68","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.neuroimage.2016.12.061","article-title":"The dynamic functional connectome: state-of-the-art and perspectives","volume":"160","author":"Preti","year":"2017","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref69","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref70","doi-asserted-by":"publisher","first-page":"668424","DOI":"10.3389\/fnsys.2021.688424","article-title":"On the importance of being flexible: dynamic brain networks and their potential functional significances","volume":"15","author":"Safron","year":"2022","journal-title":"Front Syst Neurosci"},{"key":"2024092711072523700_ref71","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1038\/jcbfm.2014.237","article-title":"Reference region modeling approaches for amphetamine challenge studies with [11C]FLB 457 and PET","volume":"35","author":"Sandiego","year":"2015","journal-title":"J Cereb Blood Flow Metab"},{"key":"2024092711072523700_ref72","doi-asserted-by":"publisher","first-page":"120081","DOI":"10.1016\/j.neuroimage.2023.120081","article-title":"Conscientiousness associated with efficiency of the salience\/ventral attention network: replication in three samples using individualized parcellation","volume":"272","author":"Sassenberg","year":"2023","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref73","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1002\/per.2410060506","article-title":"Openness versus intellect: much ado about nothing?","volume":"6","author":"Saucier","year":"1992","journal-title":"Eur J Personal"},{"key":"2024092711072523700_ref74","doi-asserted-by":"publisher","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","article-title":"Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI","volume":"28","author":"Schaefer","year":"2018","journal-title":"Cereb Cortex"},{"key":"2024092711072523700_ref75","doi-asserted-by":"publisher","first-page":"107735","DOI":"10.1016\/j.biopsycho.2019.107735","article-title":"Extraversion and reward-processing: consolidating evidence from an electroencephalographic index of reward-prediction-error","volume":"146","author":"Smillie","year":"2019","journal-title":"Biol Psychol"},{"key":"2024092711072523700_ref76","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1016\/j.tics.2013.09.016","article-title":"Functional connectomics from resting-state fMRI","volume":"17","author":"Smith","year":"2013","journal-title":"Trends Cogn Sci"},{"key":"2024092711072523700_ref77","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1177\/0271678X17737693","article-title":"Partial-volume correction increases estimated dopamine D2-like receptor binding potential and reduces adult age differences","volume":"39","author":"Smith","year":"2019","journal-title":"J Cereb Blood Flow Metab"},{"key":"2024092711072523700_ref78","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1214\/aos\/1074290335","article-title":"The positive false discovery rate: a Bayesian interpretation of the q-value","volume":"31","author":"Storey","year":"2003","journal-title":"Ann Stat"},{"key":"2024092711072523700_ref79","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fphys.2012.00015","article-title":"Criticality in large-scale brain fMRI dynamics unveiled by a novel point process analysis","volume":"3","author":"Tagliazucchi","year":"2012","journal-title":"Front Physiol"},{"key":"2024092711072523700_ref80","doi-asserted-by":"publisher","first-page":"4744","DOI":"10.1002\/hbm.23699","article-title":"Cohesive network reconfiguration accompanies extended training","volume":"38","author":"Telesford","year":"2017","journal-title":"Hum Brain Mapp"},{"key":"2024092711072523700_ref81","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.neuroimage.2013.05.012","article-title":"Pushing spatial and temporal resolution for functional and diffusion MRI in the human connectome project","volume":"80","author":"Ugurbil","year":"2013","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref82","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.neuroimage.2011.07.044","article-title":"The influence of head motion on intrinsic functional connectivity MRI","volume":"59","author":"Van Dijk","year":"2012","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref83","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","article-title":"The WU-Minn human connectome project: an overview","volume":"80","author":"Van Essen","year":"2013","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref84","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1016\/j.neuroimage.2012.02.018","article-title":"The human connectome project: a data acquisition perspective","volume":"62","author":"Van Essen","year":"2012","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref85","doi-asserted-by":"publisher","first-page":"12827","DOI":"10.1073\/pnas.1705120114","article-title":"Brain network dynamics are hierarchically organized in time","volume":"114","author":"Vidaurre","year":"2017","journal-title":"Proc Natl Acad Sci"},{"key":"2024092711072523700_ref86","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1162\/netn_a_00111","article-title":"Dynamic spatio-temporal patterns of brain connectivity reorganize across development","volume":"4","author":"Vohryzek","year":"2020","journal-title":"Network Neuroscience."},{"key":"2024092711072523700_ref87","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1111\/spc3.12175","article-title":"Trait extraversion and dopamine function","volume":"9","author":"Wacker","year":"2015","journal-title":"Soc Personal Psychol Compass"},{"key":"2024092711072523700_ref88","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1037\/a0026544","article-title":"How to consistently link extraversion and intelligence to the catechol-o-methyltransferase (COMT) gene: on defining and measuring psychological phenotypes in neurogenetic research","volume":"102","author":"Wacker","year":"2012","journal-title":"J Pers Soc Psychol"},{"key":"2024092711072523700_ref89","doi-asserted-by":"publisher","first-page":"e2022288118","DOI":"10.1073\/pnas.2022288118","article-title":"Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities","volume":"118","author":"Wang","year":"2021","journal-title":"Proc Natl Acad Sci"},{"key":"2024092711072523700_ref90","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1016\/j.neuroimage.2014.01.060","article-title":"Permutation inference for the general linear model","volume":"92","author":"Winkler","year":"2014","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref91","doi-asserted-by":"publisher","first-page":"3003","DOI":"10.1038\/s41467-018-05317-y","article-title":"Linked dimensions of psychopathology and connectivity in functional brain networks","volume":"9","author":"Xia","year":"2018","journal-title":"Nat Commun"},{"key":"2024092711072523700_ref92","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J Neurophysiol"},{"key":"2024092711072523700_ref93","doi-asserted-by":"publisher","first-page":"23904","DOI":"10.1073\/pnas.2002645117","article-title":"The emergence of a functionally flexible brain during early infancy","volume":"117","author":"Yin","year":"2020","journal-title":"Proc Natl Acad Sci"},{"key":"2024092711072523700_ref94","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1016\/j.neuroimage.2015.03.047","article-title":"Towards a statistical test for functional connectivity dynamics","volume":"114","author":"Zalesky","year":"2015","journal-title":"NeuroImage"},{"key":"2024092711072523700_ref95","doi-asserted-by":"publisher","first-page":"e0157243","DOI":"10.1371\/journal.pone.0157243","article-title":"Choosing wavelet methods, filters, and lengths for functional brain network construction","volume":"11","author":"Zhang","year":"2016","journal-title":"PLoS One"},{"key":"2024092711072523700_ref96","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1162\/netn_a_00314","article-title":"Static and dynamic functional connectome reveals reconfiguration profiles of whole-brain network across cognitive states","volume":"7","author":"Zhang","year":"2023","journal-title":"Network Neuroscience"},{"key":"2024092711072523700_ref97","doi-asserted-by":"publisher","first-page":"102593","DOI":"10.1016\/j.nicl.2021.102593","article-title":"Dynamic functional connectome predicts individual working memory performance across diagnostic categories","volume":"30","author":"Zhu","year":"2021","journal-title":"Neuroimage Clin"},{"key":"2024092711072523700_ref98","doi-asserted-by":"publisher","first-page":"117632","DOI":"10.1016\/j.neuroimage.2020.117632","article-title":"Connectome-based evidence for creative thinking as an emergent property of ordinary cognitive operations","volume":"227","author":"Zhuang","year":"2021","journal-title":"NeuroImage"}],"container-title":["Cerebral Cortex"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/34\/9\/bhae391\/59363225\/bhae391.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/34\/9\/bhae391\/59363225\/bhae391.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T07:07:57Z","timestamp":1727420877000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/cercor\/article\/doi\/10.1093\/cercor\/bhae391\/7778339"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":101,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,9,3]]}},"URL":"https:\/\/doi.org\/10.1093\/cercor\/bhae391","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2024.01.05.574386","asserted-by":"object"}]},"ISSN":["1047-3211","1460-2199"],"issn-type":[{"value":"1047-3211","type":"print"},{"value":"1460-2199","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2024,9]]},"published":{"date-parts":[[2024,9]]},"article-number":"bhae391"}}