{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T18:51:03Z","timestamp":1790103063215,"version":"4.0.1"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100013314","name":"111 Project","doi-asserted-by":"crossref","award":["B13022"],"award-info":[{"award-number":["B13022"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100013314","name":"111 Project","doi-asserted-by":"crossref","award":["B13022"],"award-info":[{"award-number":["B13022"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province of China","doi-asserted-by":"publisher","award":["20131351"],"award-info":[{"award-number":["20131351"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"Chinese scholarship council","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Cortex"],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1016\/j.cortex.2019.04.026","type":"journal-article","created":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T01:46:44Z","timestamp":1558144004000},"page":"36-48","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":71,"special_numbering":"C","title":["Functional segregation of executive control network and frontoparietal network in Alzheimer's disease"],"prefix":"10.1016","volume":"120","author":[{"given":"Qinghua","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoshuang","family":"Sang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hichem","family":"Metmer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zar nawab N.K.","family":"Swati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianfeng","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cortex.2019.04.026_bib1","doi-asserted-by":"crossref","first-page":"1564","DOI":"10.1016\/j.neurobiolaging.2011.06.007","article-title":"Resting state fMRI in Alzheimer's disease: Beyond the default mode network","volume":"33","author":"Agosta","year":"2012","journal-title":"Neurobiology of Aging"},{"key":"10.1016\/j.cortex.2019.04.026_bib2","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1016\/j.neuron.2007.10.038","article-title":"Disruption of large-scale brain systems in advanced aging","volume":"56","author":"Andrews-Hanna","year":"2007","journal-title":"Neuron"},{"key":"10.1016\/j.cortex.2019.04.026_bib3","first-page":"P1068","article-title":"Differences in executive control network in patients with Alzheimer\u2019s disease post-aerobic exercise intervention","volume":"12","author":"Anor","year":"2016","journal-title":"Alzheimer's & Dementia: The Journal of the Alzheimer's Association"},{"key":"10.1016\/j.cortex.2019.04.026_bib4","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1002\/gps.4168","article-title":"A study of structural and functional connectivity in early Alzheimer's disease using rest fMRI and diffusion tensor imaging","volume":"30","author":"Balachandar","year":"2015","journal-title":"International Journal of Geriatric Psychiatry"},{"key":"10.1016\/j.cortex.2019.04.026_bib5","first-page":"485","article-title":"Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data","volume":"9","author":"Banerjee","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.cortex.2019.04.026_bib6","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1098\/rstb.2005.1634","article-title":"Investigations into resting-state connectivity using independent component analysis","volume":"360","author":"Beckmann","year":"2005","journal-title":"Philosophical Transactions of the Royal Society of London B: Biological Sciences"},{"key":"10.1016\/j.cortex.2019.04.026_bib7","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":"Magnetic Resonance in Medicine"},{"key":"10.1016\/j.cortex.2019.04.026_bib8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1196\/annals.1440.011","article-title":"The brain's default network: Anatomy, function, and relevance to disease","volume":"1124","author":"Buckner","year":"2008","journal-title":"Annals of the New York Academy of Sciences"},{"key":"10.1016\/j.cortex.2019.04.026_bib9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/alzrt106","article-title":"Resting-state fMRI as a biomarker for Alzheimer's disease?","volume":"4","author":"Damoiseaux","year":"2012","journal-title":"Alzheimer's Research & Therapy"},{"key":"10.1016\/j.cortex.2019.04.026_bib10","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.1093\/cercor\/bhm207","article-title":"Reduced resting-state brain activity in the \u201cdefault network\u201d in normal aging","volume":"18","author":"Damoiseaux","year":"2007","journal-title":"Cerebral Cortex"},{"key":"10.1016\/j.cortex.2019.04.026_bib11","doi-asserted-by":"crossref","first-page":"13848","DOI":"10.1073\/pnas.0601417103","article-title":"Consistent resting-state networks across healthy subjects","volume":"103","author":"Damoiseaux","year":"2006","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"10.1016\/j.cortex.2019.04.026_bib12","series-title":"Covariance selection","author":"Dempster","year":"1972"},{"key":"10.1016\/j.cortex.2019.04.026_bib13","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/S1474-4422(07)70178-3","article-title":"Research criteria for the diagnosis of Alzheimer's disease: Revising the NINCDS\u2013ADRDA criteria","volume":"6","author":"Dubois","year":"2007","journal-title":"The Lancet Neurology"},{"key":"10.1016\/j.cortex.2019.04.026_bib14","doi-asserted-by":"crossref","first-page":"3238","DOI":"10.1002\/hbm.20744","article-title":"Structural MRI biomarkers for preclinical and mild Alzheimer's disease","volume":"30","author":"Fennema-Notestine","year":"2009","journal-title":"Human Brain Mapping"},{"key":"10.1016\/j.cortex.2019.04.026_bib15","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1007\/s11682-016-9599-1","article-title":"Resting-state global functional connectivity as a biomarker of cognitive reserve in mild cognitive impairment","volume":"11","author":"Franzmeier","year":"2017","journal-title":"Brain Imaging and Behavior"},{"key":"10.1016\/j.cortex.2019.04.026_bib16","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":"2008","journal-title":"Biostatistics"},{"key":"10.1016\/j.cortex.2019.04.026_bib17","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":"Journal of Cerebral Blood Flow & Metabolism"},{"key":"10.1016\/j.cortex.2019.04.026_bib18","doi-asserted-by":"crossref","first-page":"339","DOI":"10.3233\/JAD-2005-8403","article-title":"Biomarkers for Alzheimer's disease \u2013 clinical needs and application","volume":"8","author":"Galasko","year":"2005","journal-title":"Journal of Alzheimer's Disease"},{"key":"10.1016\/j.cortex.2019.04.026_bib19","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.neuropsychologia.2017.07.006","article-title":"Functional connectivity within and between intrinsic brain networks correlates with trait mind wandering","volume":"103","author":"Godwin","year":"2017","journal-title":"Neuropsychologia"},{"key":"10.1016\/j.cortex.2019.04.026_bib20","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.1073\/pnas.0308627101","article-title":"Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI","volume":"101","author":"Greicius","year":"2004","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"10.1016\/j.cortex.2019.04.026_bib21","doi-asserted-by":"crossref","first-page":"521","DOI":"10.3233\/JAD-150695","article-title":"A longitudinal study on resting state functional connectivity in behavioral variant frontotemporal dementia and Alzheimer's disease","volume":"55","author":"Hafkemeijer","year":"2017","journal-title":"Journal of Alzheimer's Disease"},{"key":"10.1016\/j.cortex.2019.04.026_bib22","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.nicl.2018.03.013","article-title":"Resting-state connectivity in neurodegenerative disorders: Is there potential for an imaging biomarker?","volume":"18","author":"Hohenfeld","year":"2018","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.cortex.2019.04.026_bib23","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1016\/j.neuroimage.2009.12.120","article-title":"Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation","volume":"50","author":"Huang","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib24","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL","volume":"62","author":"Jenkinson","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib25","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.neuroimage.2009.12.008","article-title":"Effects of aging on default mode network activity in resting state fMRI: Does the method of analysis matter?","volume":"51","author":"Koch","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib26","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1016\/j.neunet.2003.06.002","article-title":"Network participation indices: Characterizing component roles for information processing in neural networks","volume":"16","author":"K\u00f6tter","year":"2003","journal-title":"Neural Networks"},{"key":"10.1016\/j.cortex.2019.04.026_bib27","series-title":"Graphical models","author":"Lauritzen","year":"1996"},{"key":"10.1016\/j.cortex.2019.04.026_bib28","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1214\/07-AOAS139","article-title":"Sparse estimation of large covariance matrices via a nested Lasso penalty","volume":"2","author":"Levina","year":"2008","journal-title":"The Annals of Applied Statistics"},{"key":"10.1016\/j.cortex.2019.04.026_bib29","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1089\/brain.2011.0045","article-title":"A spectral graphical model approach for learning brain connectivity network of children's narrative comprehension","volume":"1","author":"Lin","year":"2011","journal-title":"Brain Connectivity"},{"key":"10.1016\/j.cortex.2019.04.026_bib30","doi-asserted-by":"crossref","first-page":"26","DOI":"10.3389\/fpsyt.2015.00026","article-title":"Aberrant functional connectivity in the default mode and central executive networks in subjects with schizophrenia \u2013 a whole-brain resting-state ICA study","volume":"6","author":"Littow","year":"2015","journal-title":"Frontiers in Psychiatry"},{"key":"10.1016\/j.cortex.2019.04.026_bib31","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.media.2014.10.011","article-title":"Sparse representation of whole-brain fMRI signals for identification of functional networks","volume":"20","author":"Lv","year":"2015","journal-title":"Medical Image Analysis"},{"key":"10.1016\/j.cortex.2019.04.026_bib32","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.neuroimage.2005.12.057","article-title":"Partial correlation for functional brain interactivity investigation in functional MRI","volume":"32","author":"Marrelec","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib33","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jalz.2005.06.003","article-title":"Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's disease neuroimaging initiative (ADNI)","volume":"1","author":"Mueller","year":"2005","journal-title":"Alzheimer's & Dementia: The Journal of the Alzheimer's Association"},{"key":"10.1016\/j.cortex.2019.04.026_bib34","series-title":"International conference on medical image computing and computer-assisted intervention","first-page":"707","article-title":"A novel sparse graphical approach for multimodal brain connectivity inference","author":"Ng","year":"2012"},{"key":"10.1016\/j.cortex.2019.04.026_bib35","doi-asserted-by":"crossref","DOI":"10.3389\/fncom.2015.00132","article-title":"Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's disease diagnosis","volume":"9","author":"Ortiz","year":"2015","journal-title":"Frontiers in Computational Neuroscience"},{"key":"10.1016\/j.cortex.2019.04.026_bib36","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1098\/rstb.2005.1631","article-title":"Lateral prefrontal cortex: Architectonic and functional organization","volume":"360","author":"Petrides","year":"2005","journal-title":"Philosophical Transactions of the Royal Society of London B: Biological Sciences"},{"key":"10.1016\/j.cortex.2019.04.026_bib37","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1016\/j.neuroimage.2009.08.030","article-title":"Neural response to specific components of fearful faces in healthy and schizophrenic adults","volume":"49","author":"Radua","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib38","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":"Journal of Neuroscience"},{"key":"10.1016\/j.cortex.2019.04.026_bib39","doi-asserted-by":"crossref","first-page":"17035","DOI":"10.1523\/JNEUROSCI.3987-10.2010","article-title":"APOE4 allele disrupts resting state fMRI connectivity in the absence of amyloid plaques or decreased CSF A\u03b242","volume":"30","author":"Sheline","year":"2010","journal-title":"Journal of Neuroscience"},{"key":"10.1016\/j.cortex.2019.04.026_bib40","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.biopsych.2012.11.028","article-title":"Resting state functional connectivity in preclinical Alzheimer's disease","volume":"74","author":"Sheline","year":"2013","journal-title":"Biological Psychiatry"},{"key":"10.1016\/j.cortex.2019.04.026_bib41","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.biopsych.2006.05.048","article-title":"Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: Related and independent features","volume":"61","author":"Siegle","year":"2007","journal-title":"Biological Psychiatry"},{"key":"10.1016\/j.cortex.2019.04.026_bib42","doi-asserted-by":"crossref","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","article-title":"Advances in functional and structural MR image analysis and implementation as FSL","volume":"23","author":"Smith","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib43","doi-asserted-by":"crossref","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 in Cognitive Sciences"},{"key":"10.1016\/j.cortex.2019.04.026_bib44","first-page":"1","article-title":"Equivalence of graphical lasso and thresholding for sparse graphs","volume":"17","author":"Sojoudi","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.cortex.2019.04.026_bib45","doi-asserted-by":"crossref","first-page":"18760","DOI":"10.1073\/pnas.0708803104","article-title":"Selective changes of resting-state networks in individuals at risk for Alzheimer's disease","volume":"104","author":"Sorg","year":"2007","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"10.1016\/j.cortex.2019.04.026_bib46","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.tics.2004.07.008","article-title":"Organization, development and function of complex brain networks","volume":"8","author":"Sporns","year":"2004","journal-title":"Trends in Cognitive Sciences"},{"key":"10.1016\/j.cortex.2019.04.026_bib47","doi-asserted-by":"crossref","first-page":"974","DOI":"10.2174\/1567205012666150710111615","article-title":"Functional connectivity hubs could serve as a potential biomarker in Alzheimer's disease: A reproducible study","volume":"12","author":"Sui","year":"2015","journal-title":"Current Alzheimer Research"},{"key":"10.1016\/j.cortex.2019.04.026_bib48","series-title":"Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining","first-page":"1335","article-title":"Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation","author":"Sun","year":"2009"},{"key":"10.1016\/j.cortex.2019.04.026_bib49","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1097\/01.wad.0000191420.61260.a8","article-title":"The role of biomarkers in clinical trials for Alzheimer disease","volume":"20","author":"Thal","year":"2006","journal-title":"Alzheimer Disease and Associated Disorders"},{"key":"10.1016\/j.cortex.2019.04.026_bib50","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib51","doi-asserted-by":"crossref","first-page":"3328","DOI":"10.1152\/jn.90355.2008","article-title":"Evidence for a frontoparietal control system revealed by intrinsic functional connectivity","volume":"100","author":"Vincent","year":"2008","journal-title":"Journal of Neurophysiology"},{"key":"10.1016\/j.cortex.2019.04.026_bib52","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1016\/j.neuroimage.2005.12.033","article-title":"Changes in hippocampal connectivity in the early stages of Alzheimer's disease: Evidence from resting state fMRI","volume":"31","author":"Wang","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib53","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1007\/s00429-013-0524-8","article-title":"Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification","volume":"219","author":"Wee","year":"2014","journal-title":"Brain Structure & Function"},{"key":"10.1016\/j.cortex.2019.04.026_bib54","doi-asserted-by":"crossref","first-page":"S173","DOI":"10.1016\/j.neuroimage.2008.10.055","article-title":"Bayesian analysis of neuroimaging data in FSL","volume":"45","author":"Woolrich","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.cortex.2019.04.026_bib55","series-title":"Proceedings. 2005 IEEE international joint conference on neural networks, 2005","first-page":"1534","article-title":"Connectivity of anatomical and functional MRI data","author":"Worsley","year":"2005"},{"key":"10.1016\/j.cortex.2019.04.026_bib56","doi-asserted-by":"crossref","first-page":"775","DOI":"10.3233\/JAD-2011-101371","article-title":"Independent component analysis-based classification of Alzheimer's MRI data","volume":"24","author":"Yang","year":"2011","journal-title":"Journal of Alzheimer's Disease"},{"key":"10.1016\/j.cortex.2019.04.026_bib57","series-title":"Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining","first-page":"1385","article-title":"Structural graphical lasso for learning mouse brain connectivity","author":"Yang","year":"2015"},{"key":"10.1016\/j.cortex.2019.04.026_bib58","series-title":"DPABI: Data processing & analysis for (resting-state) brain imaging","first-page":"1","author":"Yan","year":"2016"},{"key":"10.1016\/j.cortex.2019.04.026_bib59","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1093\/biomet\/asm018","article-title":"Model selection and estimation in the Gaussian graphical model","volume":"94","author":"Yuan","year":"2007","journal-title":"Biometrika"},{"key":"10.1016\/j.cortex.2019.04.026_bib60","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.bbr.2008.08.012","article-title":"Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer's disease","volume":"197","author":"Zhang","year":"2009","journal-title":"Behavioural Brain Research"},{"key":"10.1016\/j.cortex.2019.04.026_bib61","first-page":"1059","article-title":"The huge package for high-dimensional undirected graph estimation in R","volume":"13","author":"Zhao","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.cortex.2019.04.026_bib62","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.brainres.2017.10.025","article-title":"Evaluating functional connectivity of executive control network and frontoparietal network in Alzheimer's disease","volume":"1678","author":"Zhao","year":"2018","journal-title":"Brain Research"}],"container-title":["Cortex"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010945219302059?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010945219302059?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:07:14Z","timestamp":1757894834000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0010945219302059"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":62,"alternative-id":["S0010945219302059"],"URL":"https:\/\/doi.org\/10.1016\/j.cortex.2019.04.026","relation":{},"ISSN":["0010-9452"],"issn-type":[{"value":"0010-9452","type":"print"}],"subject":[],"published":{"date-parts":[[2019,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Functional segregation of executive control network and frontoparietal network in Alzheimer's disease","name":"articletitle","label":"Article Title"},{"value":"Cortex","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cortex.2019.04.026","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}