{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T14:10:43Z","timestamp":1785161443376,"version":"3.55.0"},"reference-count":83,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2020,11,14]],"date-time":"2020-11-14T00:00:00Z","timestamp":1605312000000},"content-version":"vor","delay-in-days":318,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1016\/j.nicl.2020.102507","type":"journal-article","created":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T23:02:36Z","timestamp":1605826956000},"page":"102507","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":44,"special_numbering":"C","title":["An imbalance between functional segregation and integration in patients with pontine stroke: A dynamic functional network connectivity study"],"prefix":"10.1016","volume":"28","author":[{"given":"Yingying","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caihong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peifang","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingchun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luobing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingliang","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2020.102507_b0005","doi-asserted-by":"crossref","unstructured":"J, M. Pontine Infarcts and Hemorrhages. Topographic Syndromes 30, 162\u2013165, doi:10.1159\/000333631 (2012).","DOI":"10.1159\/000333631"},{"issue":"4","key":"10.1016\/j.nicl.2020.102507_b0010","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1007\/s10072-011-0812-0","article-title":"Functional outcome in patients with pontine infarction after acute rehabilitation","volume":"33","author":"Maeshima","year":"2012","journal-title":"Neurol Sci"},{"issue":"2","key":"10.1016\/j.nicl.2020.102507_b0015","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.jpsychores.2015.05.007","article-title":"Life satisfaction post stroke: The role of illness cognitions","volume":"79","author":"van Mierlo","year":"2015","journal-title":"J. Psychosom. Res."},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0020","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1038\/jcbfm.1993.4","article-title":"Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets","volume":"13","author":"Friston","year":"1993","journal-title":"J Cereb Blood Flow Metab"},{"issue":"4","key":"10.1016\/j.nicl.2020.102507_b0025","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1097\/WCO.0b013e328306f2c5","article-title":"Resting-state functional connectivity in neuropsychiatric disorders:","volume":"24","author":"Greicius","year":"2008","journal-title":"Curr. Opin. Neurol."},{"key":"10.1016\/j.nicl.2020.102507_b0030","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2018.00907","article-title":"Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery","volume":"9","author":"Shan","year":"2018","journal-title":"Front. Neurol."},{"key":"10.1016\/j.nicl.2020.102507_b0035","doi-asserted-by":"crossref","first-page":"9585","DOI":"10.12659\/MSM.918185","article-title":"Different Patterns of Functional Connectivity Alterations Within the Default-Mode Network and Sensorimotor Network in Basal Ganglia and Pontine Stroke","volume":"25","author":"Chen","year":"2019","journal-title":"Med Sci Monit"},{"issue":"4","key":"10.1016\/j.nicl.2020.102507_b0040","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1177\/1971400917697342","article-title":"Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks","volume":"30","author":"Smitha","year":"2017","journal-title":"Neuroradiol J"},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0045","doi-asserted-by":"crossref","DOI":"10.1038\/srep40107","article-title":"Associations among executive function, cardiorespiratory fitness, and brain network properties in older adults","volume":"7","author":"Kawagoe","year":"2017","journal-title":"Sci Rep"},{"issue":"28","key":"10.1016\/j.nicl.2020.102507_b0050","doi-asserted-by":"crossref","first-page":"8762","DOI":"10.1073\/pnas.1501242112","article-title":"Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns","volume":"112","author":"Gonzalez-Castillo","year":"2015","journal-title":"Proc Natl Acad Sci USA"},{"key":"10.1016\/j.nicl.2020.102507_b0055","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.neuroimage.2013.05.079","article-title":"Dynamic functional connectivity: Promise, issues, and interpretations","volume":"80","author":"Hutchison","year":"2013","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.nicl.2020.102507_b0060","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","article-title":"The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery","volume":"84","author":"Calhoun","year":"2014","journal-title":"Neuron"},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0065","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.neuroimage.2009.12.011","article-title":"Time\u2013frequency dynamics of resting-state brain connectivity measured with fMRI","volume":"50","author":"Chang","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2020.102507_b0070","doi-asserted-by":"crossref","first-page":"657","DOI":"10.3389\/fnins.2019.00657","article-title":"Resting State Dynamic Functional Connectivity in Neurodegenerative Conditions: A Review of Magnetic Resonance Imaging Findings","volume":"13","author":"Filippi","year":"2019","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.nicl.2020.102507_b0075","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1002\/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1","article-title":"Analysis of fMRI data by blind separation into independent spatial components","volume":"6","author":"McKeown","year":"1998","journal-title":"Human brain mapping"},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0080","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","article-title":"An Information-Maximization Approach to Blind Separation and Blind Deconvolution","volume":"7","author":"Bell","year":"1995","journal-title":"Neural Comput."},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0085","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1196\/annals.1417.015","article-title":"Intrinsic Brain Activity in Altered States of Consciousness","volume":"1129","author":"Boly","year":"2008","journal-title":"Ann. New York Acad. Sci."},{"key":"10.1016\/j.nicl.2020.102507_b0090","article-title":"The Transitions Between Dynamic Micro-States Reveal Age-Related Functional Network Reorganization","volume":"9","author":"Chen","year":"2018","journal-title":"Front. Physiol."},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0095","doi-asserted-by":"crossref","first-page":"e39731","DOI":"10.1371\/journal.pone.0039731","article-title":"Non-Stationarity in the \u201cResting Brain\u2019s\u201d Modular Architecture","volume":"7","author":"Jones","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2020.102507_b0100","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1016\/j.neuroimage.2019.01.080","article-title":"The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint","volume":"189","author":"Premi","year":"2019","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2020.102507_b0105","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1016\/j.neuroimage.2016.04.051","article-title":"Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity","volume":"134","author":"Rashid","year":"2016","journal-title":"NeuroImage"},{"issue":"5","key":"10.1016\/j.nicl.2020.102507_b0110","doi-asserted-by":"crossref","first-page":"1770","DOI":"10.1002\/hbm.23135","article-title":"Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions: Dynamic Connections of Insula Subdivisions","volume":"37","author":"Nomi","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102507_b0115","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2016.00466","article-title":"Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures","volume":"10","author":"Cetin","year":"2016","journal-title":"Front. Neurosci."},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0120","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1002\/hbm.24385","article-title":"Tracking the dynamic functional connectivity structure of the human brain across the adult lifespan","volume":"40","author":"Xia","year":"2019","journal-title":"Hum Brain Mapp"},{"issue":"2","key":"10.1016\/j.nicl.2020.102507_b0125","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1002\/hbm.23884","article-title":"Brain networks of the imaginative mind: Dynamic functional connectivity of default and cognitive control networks relates to openness to experience","volume":"39","author":"Beaty","year":"2018","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0130","doi-asserted-by":"crossref","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":"10.1016\/j.nicl.2020.102507_b0135","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.3389\/fnins.2019.01006","article-title":"Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia","volume":"13","author":"Bhinge","year":"2019","journal-title":"Front Neurosci"},{"key":"10.1016\/j.nicl.2020.102507_b0140","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.jad.2020.06.062","article-title":"Cerebellar-cerebral dynamic functional connectivity alterations in major depressive disorder","volume":"275","author":"Zhu","year":"2020","journal-title":"J. Affect. Disord."},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0145","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1007\/s10548-018-0678-z","article-title":"Altered Dynamic Functional Network Connectivity in Frontal Lobe Epilepsy","volume":"32","author":"Klugah-Brown","year":"2019","journal-title":"Brain Topogr"},{"key":"10.1016\/j.nicl.2020.102507_b0150","doi-asserted-by":"crossref","unstructured":"Zoltowski, D., Bernat, E. & Aviyente, S. A graph theoretic approach to dynamic functional connectivity tracking and network state identification. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2014, 6004-6007, doi:10.1109\/embc.2014.6944997 (2014).","DOI":"10.1109\/EMBC.2014.6944997"},{"issue":"23","key":"10.1016\/j.nicl.2020.102507_b0155","doi-asserted-by":"crossref","first-page":"e2706","DOI":"10.1212\/WNL.0000000000007607","article-title":"Abnormal thalamocortical network dynamics in migraine","volume":"92","author":"Tu","year":"2019","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2020.102507_b0160","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2018.00339","article-title":"Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder","volume":"9","author":"Zhi","year":"2018","journal-title":"Front. Psychiatry"},{"issue":"2","key":"10.1016\/j.nicl.2020.102507_b0165","doi-asserted-by":"crossref","first-page":"351","DOI":"10.2214\/ajr.149.2.351","article-title":"MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging","volume":"149","author":"Fazekas","year":"1987","journal-title":"Am. J. Roentgenol."},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0170","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1016\/j.neuroimage.2004.03.027","article-title":"Validating the independent components of neuroimaging time series via clustering and visualization","volume":"22","author":"Himberg","year":"2004","journal-title":"NeuroImage"},{"issue":"12","key":"10.1016\/j.nicl.2020.102507_b0175","doi-asserted-by":"crossref","first-page":"2075","DOI":"10.1002\/hbm.21170","article-title":"Comparison of multi-subject ICA methods for analysis of fMRI data","volume":"32","author":"Erhardt","year":"2011","journal-title":"Hum. Brain Mapp."},{"issue":"31","key":"10.1016\/j.nicl.2020.102507_b0180","doi-asserted-by":"crossref","first-page":"13040","DOI":"10.1073\/pnas.0905267106","article-title":"Correspondence of the brain's functional architecture during activation and rest","volume":"106","author":"Smith","year":"2009","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"9","key":"10.1016\/j.nicl.2020.102507_b0185","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control","volume":"27","author":"Seeley","year":"2007","journal-title":"J. Neurosci."},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0190","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1089\/brain.2018.0579","article-title":"Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls","volume":"9","author":"Mennigen","year":"2019","journal-title":"Brain Connect."},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0195","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.tics.2017.04.002","article-title":"Mixed Signals: On Separating Brain Signal from Noise","volume":"21","author":"Uddin","year":"2017","journal-title":"Trends in Cognitive Sciences"},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0200","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1006\/cbmr.1996.0014","article-title":"AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages","volume":"29","author":"Cox","year":"1996","journal-title":"Comput. Biomed. Res."},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0205","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1016\/j.neuroimage.2011.10.018","article-title":"Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion","volume":"59","author":"Power","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2020.102507_b0210","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.neuroimage.2016.10.026","article-title":"Chronnectomic patterns and neural flexibility underlie executive function","volume":"147","author":"Nomi","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2020.102507_b0215","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.nicl.2014.07.003","article-title":"Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia","volume":"5","author":"Damaraju","year":"2014","journal-title":"NeuroImage: Clinical"},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0220","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1192\/bjp.2019.10","article-title":"Resting-state neural network disturbances that underpin the emergence of emotional symptoms in adolescent girls: resting-state fMRI study","volume":"215","author":"Malhi","year":"2019","journal-title":"Br J Psychiatry"},{"issue":"6684","key":"10.1016\/j.nicl.2020.102507_b0225","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1038\/30918","article-title":"Collective dynamics of \u2018small-world\u2019 networks","volume":"393","author":"Watts","year":"1998","journal-title":"Nature"},{"key":"10.1016\/j.nicl.2020.102507_b0230","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.pscychresns.2018.08.006","article-title":"Disrupted topological organization of the motor execution network in alcohol dependence","volume":"280","author":"Zhu","year":"2018","journal-title":"Psychiatry Research: Neuroimaging"},{"issue":"11","key":"10.1016\/j.nicl.2020.102507_b0235","doi-asserted-by":"crossref","first-page":"2955","DOI":"10.1093\/brain\/awx233","article-title":"Abnormal intrinsic brain functional network dynamics in Parkinson\u2019s disease","volume":"140","author":"Kim","year":"2017","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2020.102507_b0240","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.nicl.2018.01.012","article-title":"Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study","volume":"18","author":"Li","year":"2018","journal-title":"NeuroImage: Clinical"},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0245","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1002\/hbm.23346","article-title":"Dynamic functional connectivity of neurocognitive networks in children","volume":"38","author":"Marusak","year":"2017","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0250","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s10548-017-0546-2","article-title":"EEG Signatures of Dynamic Functional Network Connectivity States","volume":"31","author":"Allen","year":"2018","journal-title":"Brain Topogr"},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0255","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1111\/ene.13613","article-title":"Self-reference, emotion inhibition and somatosensory disturbance: preliminary investigation of network perturbations in conversion disorder","volume":"25","author":"Monsa","year":"2018","journal-title":"Eur J Neurol"},{"issue":"7","key":"10.1016\/j.nicl.2020.102507_b0260","doi-asserted-by":"crossref","first-page":"4259","DOI":"10.1073\/pnas.071043098","article-title":"Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function","volume":"98","author":"Gusnard","year":"2001","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"4","key":"10.1016\/j.nicl.2020.102507_b0265","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1097\/WCO.0b013e32832d93dd","article-title":"Human brain networks in health and disease:","volume":"22","author":"Bassett","year":"2009","journal-title":"Curr. Opin. Neurol."},{"issue":"28","key":"10.1016\/j.nicl.2020.102507_b0270","doi-asserted-by":"crossref","first-page":"11747","DOI":"10.1073\/pnas.0903641106","article-title":"Cognitive fitness of cost-efficient brain functional networks","volume":"106","author":"Bassett","year":"2009","journal-title":"PNAS"},{"issue":"23","key":"10.1016\/j.nicl.2020.102507_b0275","doi-asserted-by":"crossref","first-page":"7619","DOI":"10.1523\/JNEUROSCI.1443-09.2009","article-title":"Efficiency of Functional Brain Networks and Intellectual Performance","volume":"29","author":"van den Heuvel","year":"2009","journal-title":"J. Neurosci."},{"issue":"4","key":"10.1016\/j.nicl.2020.102507_b0280","doi-asserted-by":"crossref","first-page":"e0123950","DOI":"10.1371\/journal.pone.0123950","article-title":"Changes in Brain Network Efficiency and Working Memory Performance in Aging","volume":"10","author":"Stanley","year":"2015","journal-title":"PLoS ONE"},{"key":"10.1016\/j.nicl.2020.102507_b0285","doi-asserted-by":"crossref","first-page":"102090","DOI":"10.1016\/j.nicl.2019.102090","article-title":"Differential involvement of rubral branches in chronic capsular and pontine stroke","volume":"24","author":"Guo","year":"2019","journal-title":"NeuroImage: Clinical"},{"issue":"1","key":"10.1016\/j.nicl.2020.102507_b0290","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1148\/radiol.2017161055","article-title":"Structural Alterations in Chronic Capsular versus Pontine Stroke","volume":"285","author":"Jiang","year":"2017","journal-title":"Radiology"},{"key":"10.1016\/j.nicl.2020.102507_b0295","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.brainres.2018.11.009","article-title":"Cerebral blood flow features in chronic subcortical stroke: Lesion location-dependent study","volume":"1706","author":"Wang","year":"2019","journal-title":"Brain Res."},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0300","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1017\/S003329171900028X","article-title":"Abnormal dynamic functional network connectivity in unmedicated bipolar and major depressive disorders based on the triple-network model","volume":"50","author":"Wang","year":"2020","journal-title":"Psychol. Med."},{"key":"10.1016\/j.nicl.2020.102507_b0305","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.neuroimage.2014.12.020","article-title":"Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia","volume":"107","author":"Yu","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2020.102507_b0310","doi-asserted-by":"crossref","first-page":"101966","DOI":"10.1016\/j.nicl.2019.101966","article-title":"Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification","volume":"24","author":"Rabany","year":"2019","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.nicl.2020.102507_b0315","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2019.00634","article-title":"Characterizing Whole Brain Temporal Variation of Functional Connectivity via Zero and First Order Derivatives of Sliding Window Correlations","volume":"13","author":"Espinoza","year":"2019","journal-title":"Front. Neurosci."},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0320","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1002\/hbm.24504","article-title":"Dynamic functional network connectivity in Huntington's disease and its associations with motor and cognitive measures","volume":"40","author":"Espinoza","year":"2019","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.nicl.2020.102507_b0325","doi-asserted-by":"crossref","first-page":"101692","DOI":"10.1016\/j.nicl.2019.101692","article-title":"Reduced higher dimensional temporal dynamism in neurofibromatosis type 1","volume":"22","author":"Mennigen","year":"2019","journal-title":"NeuroImage: Clinical"},{"issue":"5","key":"10.1016\/j.nicl.2020.102507_b0330","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1093\/brain\/awaa101","article-title":"Acute ischaemic stroke alters the brain\u2019s preference for distinct dynamic connectivity states","volume":"143","author":"Bonkhoff","year":"2020","journal-title":"Brain"},{"issue":"18","key":"10.1016\/j.nicl.2020.102507_b0335","doi-asserted-by":"crossref","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."},{"issue":"12","key":"10.1016\/j.nicl.2020.102507_b0340","doi-asserted-by":"crossref","first-page":"e0169015","DOI":"10.1371\/journal.pone.0169015","article-title":"Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults","volume":"11","author":"Gallen","year":"2016","journal-title":"PLoS ONE"},{"issue":"3","key":"10.1016\/j.nicl.2020.102507_b0345","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.neuroimage.2008.09.062","article-title":"Age-related changes in modular organization of human brain functional networks","volume":"44","author":"Meunier","year":"2009","journal-title":"NeuroImage"},{"issue":"4","key":"10.1016\/j.nicl.2020.102507_b0350","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.neurobiolaging.2013.10.081","article-title":"Functional connectivity and graph theory in preclinical Alzheimer's disease","volume":"35","author":"Brier","year":"2014","journal-title":"Neurobiol. Aging"},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0355","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1523\/JNEUROSCI.5062-08.2009","article-title":"Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease","volume":"29","author":"Buckner","year":"2009","journal-title":"J. Neurosci."},{"issue":"28","key":"10.1016\/j.nicl.2020.102507_b0360","doi-asserted-by":"crossref","first-page":"9477","DOI":"10.1523\/JNEUROSCI.0333-10.2010","article-title":"Functional Connectivity and Brain Networks in Schizophrenia","volume":"30","author":"Lynall","year":"2010","journal-title":"J. Neurosci."},{"issue":"2","key":"10.1016\/j.nicl.2020.102507_b0365","doi-asserted-by":"crossref","first-page":"E219","DOI":"10.1073\/pnas.1508436113","article-title":"Functional hierarchy underlies preferential connectivity disturbances in schizophrenia","volume":"113","author":"Yang","year":"2016","journal-title":"Proc Natl Acad Sci USA"},{"key":"10.1016\/j.nicl.2020.102507_b0370","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.cortex.2017.12.019","article-title":"Re-emergence of modular brain networks in stroke recovery","volume":"101","author":"Siegel","year":"2018","journal-title":"Cortex"},{"issue":"6","key":"10.1016\/j.nicl.2020.102507_b0375","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1162\/jocn_a_00222","article-title":"Focal Brain Lesions to Critical Locations Cause Widespread Disruption of the Modular Organization of the Brain","volume":"24","author":"Gratton","year":"2012","journal-title":"J. Cognit. Neurosci."},{"key":"10.1016\/j.nicl.2020.102507_b0380","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.neuroimage.2016.12.003","article-title":"Mapping the functional connectome in traumatic brain injury: What can graph metrics tell us?","volume":"160","author":"Caeyenberghs","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2020.102507_b0385","doi-asserted-by":"crossref","first-page":"104809","DOI":"10.1016\/j.bandl.2020.104809","article-title":"Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia","volume":"207","author":"Johnson","year":"2020","journal-title":"Brain Lang."},{"issue":"11","key":"10.1016\/j.nicl.2020.102507_b0390","doi-asserted-by":"crossref","first-page":"3203","DOI":"10.1002\/hbm.24591","article-title":"Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities","volume":"40","author":"Fu","year":"2019","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.nicl.2020.102507_b0395","first-page":"1","article-title":"Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study","volume":"2018","author":"Hu","year":"2018","journal-title":"Neural Plasticity"},{"issue":"8","key":"10.1016\/j.nicl.2020.102507_b0400","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1093\/scan\/nsy059","article-title":"Brain networks of happiness: dynamic functional connectivity among the default, cognitive and salience networks relates to subjective well-being","volume":"13","author":"Shi","year":"2018","journal-title":"Social cognitive and affective neuroscience"},{"key":"10.1016\/j.nicl.2020.102507_b0405","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1016\/j.jad.2018.11.002","article-title":"Personality traits are related with dynamic functional connectivity in major depression disorder: A resting-state analysis","volume":"245","author":"Wu","year":"2019","journal-title":"J. Affect. Disord."},{"issue":"17","key":"10.1016\/j.nicl.2020.102507_b0410","doi-asserted-by":"crossref","first-page":"6849","DOI":"10.1523\/JNEUROSCI.4638-14.2015","article-title":"Tracking the Brain's Functional Coupling Dynamics over Development","volume":"35","author":"Hutchison","year":"2015","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2020.102507_b0415","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1000106","article-title":"Increased brain signal variability accompanies lower behavioral variability in development","volume":"4","author":"McIntosh","year":"2008","journal-title":"PLoS Comput Biol"}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158220303442?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158220303442?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:31:22Z","timestamp":1761971482000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158220303442"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":83,"alternative-id":["S2213158220303442"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2020.102507","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An imbalance between functional segregation and integration in patients with pontine stroke: A dynamic functional network connectivity study","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2020.102507","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"102507"}}