{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T12:14:18Z","timestamp":1778847258035,"version":"3.51.4"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1TR002649"],"award-info":[{"award-number":["UL1TR002649"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 DA034131"],"award-info":[{"award-number":["R01 DA034131"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U54DA038999"],"award-info":[{"award-number":["U54DA038999"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Spatial Statistics"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1016\/j.spasta.2021.100530","type":"journal-article","created":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T18:17:12Z","timestamp":1626891432000},"page":"100530","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["A spatio-temporal model for detecting the effect of cocaine use disorder on functional connectivity"],"prefix":"10.1016","volume":"45","author":[{"given":"Jifang","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Montserrat","family":"Fuentes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1581-0431","authenticated-orcid":false,"given":"Yanjun","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangsuo","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerard","family":"Moeller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.spasta.2021.100530_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117002","article-title":"Confound modelling in uk biobank brain imaging","volume":"224","author":"Alfaro-Almagro","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.spasta.2021.100530_b2","doi-asserted-by":"crossref","first-page":"250","DOI":"10.3171\/jns.2004.100.2.0250","article-title":"Single-neuron activity in the human supplementary motor area underlying preparation for action","volume":"100","author":"Amador","year":"2004","journal-title":"J. Neurosurg."},{"key":"10.1016\/j.spasta.2021.100530_b3","series-title":"Diagnostic and Statistical Manual of Mental Disorders","year":"2000"},{"key":"10.1016\/j.spasta.2021.100530_b4","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neuroimage.2007.04.042","article-title":"A component based noise correction method (compcor) for bold and perfusion based fmri","volume":"37","author":"Behzadi","year":"2007","journal-title":"NeuroImage"},{"key":"10.1016\/j.spasta.2021.100530_b5","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1111\/j.1369-1600.2011.00428.x","article-title":"Extended access to cocaine self-administration results in reduced glutamate function within the medial prefrontal cortex","volume":"17","author":"Ben-Shahar","year":"2012","journal-title":"Addict. Biol."},{"key":"10.1016\/j.spasta.2021.100530_b6","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/3-540-63046-5_22","article-title":"Space-time statistical model for functional mri image sequences","author":"Benali","year":"1997","journal-title":"Lecture Notes in Comput. Sci."},{"key":"10.1016\/j.spasta.2021.100530_b7","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1016\/S1053-8119(03)00113-7","article-title":"Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task","volume":"19","author":"Bolla","year":"2003","journal-title":"NeuroImage"},{"issue":"4","key":"10.1016\/j.spasta.2021.100530_b8","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1093\/biostatistics\/kxi027","article-title":"Spatio-temporal modeling of localized brain activity","volume":"6","author":"Bowman","year":"2005","journal-title":"Biostatistics"},{"issue":"1","key":"10.1016\/j.spasta.2021.100530_b9","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1111\/j.1467-9868.2007.00633.x","article-title":"Fixed rank kriging for very large spatial data sets","volume":"70","author":"Cressie","year":"2008","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"key":"10.1016\/j.spasta.2021.100530_b10","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1111\/rssb.12033","article-title":"The joint graphical lasso for inverse covariance estimation across multiple classes","volume":"76","author":"Danaher","year":"2013","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"key":"10.1016\/j.spasta.2021.100530_b11","series-title":"Structured Clinical Interview for DSM-IV Axis I Disorders\u2014Patient Editions (SCID-I\/P, Version 2.0)","author":"First","year":"1996"},{"key":"10.1016\/j.spasta.2021.100530_b12","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1038\/nrn2201","article-title":"Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging","volume":"8","author":"Fox","year":"2007","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.spasta.2021.100530_b13","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/S0006-3223(01)01269-0","article-title":"Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients","volume":"51","author":"Franklin","year":"2002","journal-title":"Biol. Psychiat."},{"issue":"3","key":"10.1016\/j.spasta.2021.100530_b14","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1093\/biostatistics\/kxm045","article-title":"Sparse inverse covariance estimation with the graphical lasso","volume":"9","author":"Friedman","year":"2007","journal-title":"Biostatistics"},{"issue":"1","key":"10.1016\/j.spasta.2021.100530_b15","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1089\/brain.2011.0008","article-title":"Functional and effective connectivity: a review","volume":"1","author":"Friston","year":"2011","journal-title":"Brain Connect."},{"key":"10.1016\/j.spasta.2021.100530_b16","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1016\/j.biopsych.2017.10.030","article-title":"The multifaceted role of the ventromedial prefrontal cortex in emotion, decision making, social cognition, and psychopathology","volume":"83","author":"Hiser","year":"2018","journal-title":"Biol. Psychiat."},{"key":"10.1016\/j.spasta.2021.100530_b17","series-title":"Functional Magnetic Resonance Imaging","author":"Huettel","year":"2014"},{"key":"10.1016\/j.spasta.2021.100530_b18","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.neuroimage.2016.04.023","article-title":"Stgp: Spatio-temporal gaussian process models for longitudinal neuroimaging data","volume":"134","author":"Hyun","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.spasta.2021.100530_b19","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.jneumeth.2015.07.013","article-title":"AICHA: An atlas of intrinsic connectivity of homotopic areas","volume":"254","author":"Joliot","year":"2015","journal-title":"J. Neurosci. Methods"},{"issue":"498","key":"10.1016\/j.spasta.2021.100530_b20","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1080\/01621459.2012.664503","article-title":"Spatio-spectral mixed-effects model for functional magnetic resonance imaging data","volume":"107","author":"Kang","year":"2012","journal-title":"J. Amer. Statist. Assoc."},{"issue":"3","key":"10.1016\/j.spasta.2021.100530_b21","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1006\/nimg.2002.1209","article-title":"A spatio-temporal regression model for the analysis of functional mri data","volume":"17","author":"Katanoda","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.spasta.2021.100530_b22","doi-asserted-by":"crossref","unstructured":"Konidaris, G.D., Osentoski, S., Thomas, P.S., 2011. Value function approximation in reinforcement learning using the Fourier basis. In: Proceedings of the Twenty Fifth Conference on Artificial Intelligence, pp. 380\u2013395.","DOI":"10.1609\/aaai.v25i1.7903"},{"key":"10.1016\/j.spasta.2021.100530_b23","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.drugalcdep.2016.12.008","article-title":"The effect of task difficulty on motor performance and frontal-striatal connectivity in cocaine users","volume":"173","author":"Lench","year":"2017","journal-title":"Drug Alcohol Depend."},{"key":"10.1016\/j.spasta.2021.100530_b24","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1016\/S0006-3223(01)01355-5","article-title":"Reduced frontal white matter integrity in cocaine dependence: a controlled diffusion tensor imaging study","volume":"51","author":"Lim","year":"2002","journal-title":"Biol. Psychiat."},{"issue":"4","key":"10.1016\/j.spasta.2021.100530_b25","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1214\/09-STS282","article-title":"The statistical analysis of fmri data","volume":"23","author":"Lindquist","year":"2008","journal-title":"Statist. Sci."},{"key":"10.1016\/j.spasta.2021.100530_b26","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1586\/14737175.2015.1103183","article-title":"Effect of cocaine dependence on brain connections: clinical implications","volume":"15","author":"Ma","year":"2015","journal-title":"Expert Rev. Neurother."},{"key":"10.1016\/j.spasta.2021.100530_b27","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0740-5472(92)90062-S","article-title":"The fifth edition of the addiction severity index","volume":"9","author":"McLellan","year":"1992","journal-title":"J. Subst. Abuse Treat."},{"key":"10.1016\/j.spasta.2021.100530_b28","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1151\/spp05314","article-title":"The neurobiology of cocaine addiction","volume":"3","author":"Nestler","year":"2005","journal-title":"Sci. Pract. Perspect."},{"key":"10.1016\/j.spasta.2021.100530_b29","series-title":"Handbook of Neuroimaging Data Analysis","author":"Ombao","year":"2016"},{"issue":"2","key":"10.1016\/j.spasta.2021.100530_b30","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1111\/biom.12782","article-title":"Fully bayesian spectral methods for imaging data","volume":"74","author":"Reich","year":"2017","journal-title":"Biometrics"},{"key":"10.1016\/j.spasta.2021.100530_b31","series-title":"Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics","first-page":"1914","article-title":"Matrix-normal models for fmri analysis","volume":"vol. 84","author":"Shvartsman","year":"2018"},{"issue":"31","key":"10.1016\/j.spasta.2021.100530_b32","doi-asserted-by":"crossref","first-page":"13040","DOI":"10.1073\/pnas.0905267106","article-title":"Correspondence of the brains functional architecture during activation and rest","volume":"106","author":"Smith","year":"2009","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"2","key":"10.1016\/j.spasta.2021.100530_b33","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1016\/j.neuroimage.2010.08.063","article-title":"Network modelling methods for fMRI","volume":"54","author":"Smith","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.spasta.2021.100530_b34","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1002\/syn.890110303","article-title":"Long-term frontal brain metabolic changes in cocaine abusers","volume":"11","author":"Volkow","year":"1992","journal-title":"Synapse"},{"key":"10.1016\/j.spasta.2021.100530_b35","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1089\/brain.2012.0073","article-title":"Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks","volume":"2","author":"Whitfield-Gabrieli","year":"2012","journal-title":"Brain Connect."},{"issue":"2","key":"10.1016\/j.spasta.2021.100530_b36","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1109\/TMI.2003.823065","article-title":"Fully bayesian spatio-temporal modeling of fMRI data","volume":"23","author":"Woolrich","year":"2004","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/j.spasta.2021.100530_b37","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1214\/aos\/1176346060","article-title":"On the convergence properties of the EM algorithm","volume":"11","author":"Wu","year":"1983","journal-title":"Ann. Statist."},{"issue":"514","key":"10.1016\/j.spasta.2021.100530_b38","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1080\/01621459.2015.1042581","article-title":"Functional car models for large spatially correlated functional datasets","volume":"111","author":"Zhang","year":"2016","journal-title":"J. Amer. Statist. Assoc."},{"issue":"507","key":"10.1016\/j.spasta.2021.100530_b39","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1080\/01621459.2014.881742","article-title":"Spatially varying coefficient model for neuroimaging data with jump discontinuities","volume":"109","author":"Zhu","year":"2014","journal-title":"J. Amer. Statist. Assoc."}],"container-title":["Spatial Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2211675321000403?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2211675321000403?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T12:01:21Z","timestamp":1778846481000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2211675321000403"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":39,"alternative-id":["S2211675321000403"],"URL":"https:\/\/doi.org\/10.1016\/j.spasta.2021.100530","relation":{},"ISSN":["2211-6753"],"issn-type":[{"value":"2211-6753","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A spatio-temporal model for detecting the effect of cocaine use disorder on functional connectivity","name":"articletitle","label":"Article Title"},{"value":"Spatial Statistics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.spasta.2021.100530","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"100530"}}