{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T01:10:05Z","timestamp":1769821805187,"version":"3.49.0"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"content-version":"am","delay-in-days":296,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100005902","name":"Institute for Clinical and Translational Research, University of Wisconsin, Madison","doi-asserted-by":"publisher","award":["1UL1TR003098"],"award-info":[{"award-number":["1UL1TR003098"]}],"id":[{"id":"10.13039\/100005902","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG060054"],"award-info":[{"award-number":["R01AG060054"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG070227"],"award-info":[{"award-number":["R01AG070227"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R21AG082345"],"award-info":[{"award-number":["R21AG082345"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["R01EB031080-01A1"],"award-info":[{"award-number":["R01EB031080-01A1"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["P41EB029460-01A1"],"award-info":[{"award-number":["P41EB029460-01A1"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000053","name":"National Eye Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000053","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009607","name":"McDonnell Center for Systems Neuroscience","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG052564"],"award-info":[{"award-number":["U01AG052564"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007268","name":"Washington University in St. Louis","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007268","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000135","name":"NIH Blueprint for Neuroscience Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000135","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006636","name":"University of Maryland, Baltimore County","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006636","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroscience Methods"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1016\/j.jneumeth.2024.110205","type":"journal-article","created":{"date-parts":[[2024,6,22]],"date-time":"2024-06-22T15:34:29Z","timestamp":1719070469000},"page":"110205","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Global brain connectivity: Test-retest stability and association with biological and neurocognitive variables"],"prefix":"10.1016","volume":"409","author":[{"given":"Gianpaolo","family":"Del Mauro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiran","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ze","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.jneumeth.2024.110205_bib1","doi-asserted-by":"crossref","DOI":"10.3389\/fninf.2014.00014","article-title":"Machine learning for neuroimaging with scikit-learn","volume":"8","author":"Abraham","year":"2014","journal-title":"Front Neuroinform"},{"key":"10.1016\/j.jneumeth.2024.110205_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117241","article-title":"Identifying the brain\u2019s connector hubs at the voxel level using functional connectivity overlap ratio","volume":"222","author":"Bagarinao","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib3","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.neuroimage.2013.05.033","article-title":"Function in the human connectome: Task-fMRI and individual differences in behavior","volume":"80","author":"Barch","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib4","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1177\/1073191112446655","article-title":"Development of Abbreviated Nine-Item Forms of the Raven\u2019s Standard Progressive Matrices Test","volume":"19","author":"Bilker","year":"2012","journal-title":"Assessment"},{"key":"10.1016\/j.jneumeth.2024.110205_bib5","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1002\/mrm.1910340409","article-title":"Functional connectivity in the motor cortex of resting human brain using echo-planar mri","volume":"34","author":"Biswal","year":"1995","journal-title":"Magn. Reson Med"},{"key":"10.1016\/j.jneumeth.2024.110205_bib6","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1016\/j.neuroimage.2011.08.044","article-title":"Test\u2013retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures","volume":"59","author":"Braun","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib7","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","article-title":"Complex brain networks: graph theoretical analysis of structural and functional systems","volume":"10","author":"Bullmore","year":"2009","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib8","doi-asserted-by":"crossref","DOI":"10.1002\/jnr.25310","article-title":"Task-induced changes in brain entropy","volume":"102","author":"Camargo","year":"2024","journal-title":"J. Neurosci. Res"},{"key":"10.1016\/j.jneumeth.2024.110205_bib9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1037\/h0046743","article-title":"Theory of fluid and crystallized intelligence: A critical experiment","volume":"54","author":"Cattell","year":"1963","journal-title":"J. Educ. Psychol."},{"key":"10.1016\/j.jneumeth.2024.110205_bib10","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.jneumeth.2024.110205_bib11","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0144963","article-title":"Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month","volume":"10","author":"Chen","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.jneumeth.2024.110205_bib12","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1089\/brain.2015.0357","article-title":"Lateral Prefrontal Cortex Contributes to Fluid Intelligence Through Multinetwork Connectivity","volume":"5","author":"Cole","year":"2015","journal-title":"Brain Connect"},{"key":"10.1016\/j.jneumeth.2024.110205_bib13","doi-asserted-by":"crossref","first-page":"3132","DOI":"10.1016\/j.neuroimage.2009.11.001","article-title":"Identifying the brain\u2019s most globally connected regions","volume":"49","author":"Cole","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib14","doi-asserted-by":"crossref","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":"10.1016\/j.jneumeth.2024.110205_bib15","article-title":"Divergent association between pain intensity and resting-state fMRI-based brain entropy in different age groups","volume":"102","author":"Del Mauro","year":"2024","journal-title":"J. Neurosci. Res"},{"key":"10.1016\/j.jneumeth.2024.110205_bib16","article-title":"Associations of Brain Entropy Estimated by Resting State fMRI With Physiological Indices, Body Mass Index, and Cognition","author":"Del Mauro","year":"2023","journal-title":"J. Magn. Reson. Imaging"},{"key":"10.1016\/j.jneumeth.2024.110205_bib17","article-title":"rsfMRI-based Brain Entropy is negatively correlated with Gray Matter Volume and Surface Area","volume":"28","author":"Del Mauro","year":"2024","journal-title":"bioRxiv"},{"key":"10.1016\/j.jneumeth.2024.110205_bib18","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1016\/j.tics.2013.09.012","article-title":"Network hubs in the human brain","volume":"17","author":"van den Heuvel","year":"2013","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib19","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s11065-014-9249-6","article-title":"Functional Brain Connectivity Using fMRI in Aging and Alzheimer\u2019s Disease","volume":"24","author":"Dennis","year":"2014","journal-title":"Neuropsychol. Rev."},{"key":"10.1016\/j.jneumeth.2024.110205_bib20","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","article-title":"The minimal preprocessing pipelines for the Human Connectome Project","volume":"80","author":"Glasser","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib21","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1089\/brain.2014.0323","article-title":"Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture","volume":"5","author":"Gopinath","year":"2015","journal-title":"Brain Connect"},{"key":"10.1016\/j.jneumeth.2024.110205_bib22","doi-asserted-by":"crossref","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":"10.1016\/j.jneumeth.2024.110205_bib23","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1002\/jmri.23670","article-title":"Test\u2013retest stability analysis of resting brain activity revealed by blood oxygen level-dependent functional MRI","volume":"36","author":"Li","year":"2012","journal-title":"J. Magn. Reson. Imaging"},{"key":"10.1016\/j.jneumeth.2024.110205_bib24","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1073\/pnas.1214900110","article-title":"Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain","volume":"110","author":"Liang","year":"2013","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.118875","article-title":"Lower resting brain entropy is associated with stronger task activation and deactivation","volume":"249","author":"Lin","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib26","doi-asserted-by":"crossref","DOI":"10.3174\/ajnr.A5527","article-title":"Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know","author":"Lv","year":"2018","journal-title":"Am. J. Neuroradiol."},{"key":"10.1016\/j.jneumeth.2024.110205_bib27","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.1002328","article-title":"The Contribution of Network Organization and Integration to the Development of Cognitive Control","volume":"13","author":"Marek","year":"2015","journal-title":"PLoS Biol."},{"key":"10.1016\/j.jneumeth.2024.110205_bib28","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1002\/mrm.22361","article-title":"Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI","volume":"63","author":"Moeller","year":"2010","journal-title":"Magn. Reson Med"},{"key":"10.1016\/j.jneumeth.2024.110205_bib29","doi-asserted-by":"crossref","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":"10.1016\/j.jneumeth.2024.110205_bib30","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116157","article-title":"A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis","volume":"203","author":"Noble","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib31","doi-asserted-by":"crossref","first-page":"5415","DOI":"10.1093\/cercor\/bhx230","article-title":"Influences on the Test\u2013Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility","volume":"27","author":"Noble","year":"2017","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.jneumeth.2024.110205_bib32","doi-asserted-by":"crossref","first-page":"3438","DOI":"10.1038\/s41598-020-60406-7","article-title":"Functional connections between and within brain subnetworks under resting-state","volume":"10","author":"Parente","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jneumeth.2024.110205_bib33","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1146\/annurev-neuro-071013-014030","article-title":"The Brain\u2019s Default Mode Network","volume":"38","author":"Raichle","year":"2015","journal-title":"Annu Rev. Neurosci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1006\/cogp.1999.0735","article-title":"The Raven\u2019s Progressive Matrices: Change and Stability over Culture and Time","volume":"41","author":"Raven","year":"2000","journal-title":"Cogn. Psychol."},{"key":"10.1016\/j.jneumeth.2024.110205_bib35","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyg.2018.01600","article-title":"The Relationship Between Resting State Network Connectivity and Individual Differences in Executive Functions","volume":"9","author":"Reineberg","year":"2018","journal-title":"Front Psychol."},{"key":"10.1016\/j.jneumeth.2024.110205_bib36","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2020.569540","article-title":"Multivariate Brain Functional Connectivity Through Regularized Estimators","volume":"14","author":"Salvador","year":"2020","journal-title":"Front Neurosci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib37","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.intell.2017.04.008","article-title":"Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study","volume":"63","author":"Santarnecchi","year":"2017","journal-title":"Intelligence"},{"key":"10.1016\/j.jneumeth.2024.110205_bib38","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.intell.2017.10.002","article-title":"Network connectivity correlates of variability in fluid intelligence performance","volume":"65","author":"Santarnecchi","year":"2017","journal-title":"Intelligence"},{"key":"10.1016\/j.jneumeth.2024.110205_bib39","doi-asserted-by":"crossref","first-page":"2383","DOI":"10.1093\/cercor\/bhu036","article-title":"Linked Sex Differences in Cognition and Functional Connectivity in Youth","volume":"25","author":"Satterthwaite","year":"2015","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.jneumeth.2024.110205_bib40","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.456","article-title":"Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state","volume":"6","author":"Shah","year":"2016","journal-title":"Brain Behav."},{"key":"10.1016\/j.jneumeth.2024.110205_bib41","doi-asserted-by":"crossref","first-page":"2209","DOI":"10.1093\/cercor\/bhn256","article-title":"The Resting Brain: Unconstrained yet Reliable","volume":"19","author":"Shehzad","year":"2009","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.jneumeth.2024.110205_bib42","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2016.00330","article-title":"Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks","volume":"8","author":"Siman-Tov","year":"2017","journal-title":"Front Aging Neurosci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib43","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.neuroimage.2013.05.039","article-title":"Resting-state fMRI in the Human Connectome Project","volume":"80","author":"Smith","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib44","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0001049","article-title":"Identification and Classification of Hubs in Brain Networks","volume":"2","author":"Sporns","year":"2007","journal-title":"PLoS One"},{"key":"10.1016\/j.jneumeth.2024.110205_bib45","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1093\/cercor\/bhz082","article-title":"Differential Contribution of Cortical Thickness, Surface Area, and Gyrification to Fluid and Crystallized Intelligence","volume":"30","author":"Tadayon","year":"2020","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.jneumeth.2024.110205_bib46","doi-asserted-by":"crossref","first-page":"3249","DOI":"10.1093\/cercor\/bhv171","article-title":"High-Resolution Functional Connectivity Density: Hub Locations, Sensitivity, Specificity, Reproducibility, and Reliability","volume":"26","author":"Tomasi","year":"2016","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.jneumeth.2024.110205_bib47","doi-asserted-by":"crossref","first-page":"9885","DOI":"10.1073\/pnas.1001414107","article-title":"Functional connectivity density mapping","volume":"107","author":"Tomasi","year":"2010","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib48","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1002\/hbm.21252","article-title":"Gender differences in brain functional connectivity density","volume":"33","author":"Tomasi","year":"2012","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jneumeth.2024.110205_bib49","doi-asserted-by":"crossref","first-page":"13642","DOI":"10.1073\/pnas.1303346110","article-title":"Energetic cost of brain functional connectivity","volume":"110","author":"Tomasi","year":"2013","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib50","doi-asserted-by":"crossref","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":"10.1016\/j.jneumeth.2024.110205_bib51","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2019.00234","article-title":"The Effect of Aging on Resting State Connectivity of Predefined Networks in the Brain","volume":"11","author":"Varangis","year":"2019","journal-title":"Front Aging Neurosci."},{"key":"10.1016\/j.jneumeth.2024.110205_bib52","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.117893","article-title":"The neurocognitive correlates of brain entropy estimated by resting state fMRI","volume":"232","author":"Wang","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.jneumeth.2024.110205_bib53","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1002\/ima.21297","article-title":"Improving fMRI activation detection sensitivity using intervoxel coherence mapping","volume":"22","author":"Wang","year":"2012","journal-title":"Int J. Imaging Syst. Technol."},{"key":"10.1016\/j.jneumeth.2024.110205_bib54","doi-asserted-by":"crossref","first-page":"1862","DOI":"10.1093\/cercor\/bhr269","article-title":"Network Centrality in the Human Functional Connectome","volume":"22","author":"Zuo","year":"2012","journal-title":"Cereb. Cortex"}],"container-title":["Journal of Neuroscience Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016502702400150X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016502702400150X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T02:35:32Z","timestamp":1728182132000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S016502702400150X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":54,"alternative-id":["S016502702400150X"],"URL":"https:\/\/doi.org\/10.1016\/j.jneumeth.2024.110205","relation":{},"ISSN":["0165-0270"],"issn-type":[{"value":"0165-0270","type":"print"}],"subject":[],"published":{"date-parts":[[2024,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Global brain connectivity: Test-retest stability and association with biological and neurocognitive variables","name":"articletitle","label":"Article Title"},{"value":"Journal of Neuroscience Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jneumeth.2024.110205","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110205"}}