{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T15:01:16Z","timestamp":1786114876091,"version":"build-2736575974"},"reference-count":60,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"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\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["U01AG052564"],"award-info":[{"award-number":["U01AG052564"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurobiology of Aging"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neurobiolaging.2026.05.006","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T23:23:41Z","timestamp":1779319421000},"page":"90-102","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Biopsychosocial and demographic predictors of functional brain network specialization and segregation across the adult lifespan"],"prefix":"10.1016","volume":"166","author":[{"given":"A.","family":"Shankar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Phansikar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.","family":"McPherson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.X.","family":"Gorka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.M.","family":"Way","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Betzel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.S.","family":"Prakash","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.neurobiolaging.2026.05.006_bib1","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1080\/23279095.2021.1872079","article-title":"Cognitive reserve and brain maintenance in aging and dementia: an integrative review","volume":"29","author":"Alvares Pereira","year":"2022","journal-title":"Appl. Neuropsychol. Adult"},{"issue":"3","key":"10.1016\/j.neurobiolaging.2026.05.006_bib2","first-page":"411","article-title":"What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models","volume":"66","author":"Babyak","year":"2004","journal-title":"Psychosom. Med."},{"issue":"9","key":"10.1016\/j.neurobiolaging.2026.05.006_bib3","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1016\/S1474-4422(11)70072-2","article-title":"The projected effect of risk factor reduction on Alzheimer\u2019s disease prevalence","volume":"10","author":"Barnes","year":"2011","journal-title":"Lancet Neurol."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2026.05.006_bib4","doi-asserted-by":"crossref","first-page":"3300","DOI":"10.1002\/hbm.23596","article-title":"Tired and misconnected: a breakdown of brain modularity following sleep deprivation","volume":"38","author":"Ben Simon","year":"2017","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib5","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib6","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.pcad.2010.04.001","article-title":"The Framingham Heart Study\u2019s impact on global risk assessment","volume":"53","author":"Bitton","year":"2010","journal-title":"Prog. Cardiovasc. Dis."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib7","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.neuroimage.2018.10.009","article-title":"The lifespan human connectome project in aging: an overview","volume":"185","author":"Bookheimer","year":"2019","journal-title":"NeuroImage"},{"issue":"7","key":"10.1016\/j.neurobiolaging.2026.05.006_bib8","doi-asserted-by":"crossref","first-page":"4107","DOI":"10.1007\/s10072-022-06068-x","article-title":"Anxiety and depression in Alzheimer\u2019s disease: a systematic review of pathogenetic mechanisms and relation to cognitive decline","volume":"43","author":"Botto","year":"2022","journal-title":"Neurol. Sci."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2024.103621","article-title":"Sleep and physical activity measures are associated with resting-state network segregation in non-demented older adults","volume":"43","author":"Callow","year":"2024","journal-title":"Neuroimage Clin."},{"issue":"11","key":"10.1016\/j.neurobiolaging.2026.05.006_bib10","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1038\/s43587-021-00125-4","article-title":"Long-term prognosis and educational determinants of brain network decline in older adult individuals","volume":"1","author":"Chan","year":"2021","journal-title":"Nat. Aging"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib11","doi-asserted-by":"crossref","first-page":"365","DOI":"10.3389\/fpsyt.2018.00365","article-title":"From default mode network to the basal configuration: sex differences in the resting-state brain connectivity as a function of age and their clinical correlates","volume":"9","author":"Conrin","year":"2018","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.comppsych.2016.08.004","article-title":"Co-occurrence and symptomatology of fatigue and depression","volume":"71","author":"Corfield","year":"2016","journal-title":"Compr. Psychiatry"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib13","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.neuroimage.2017.01.077","article-title":"Effects of aging on functional and structural brain connectivity","volume":"160","author":"Damoiseaux","year":"2017","journal-title":"NeuroImage"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib14","doi-asserted-by":"crossref","DOI":"10.1111\/psyp.14159","article-title":"The older adult brain is less modular, more integrated, and less efficient at rest: a systematic review of large-scale resting-state functional brain networks in aging","volume":"60","author":"Deery","year":"2023","journal-title":"Psychophysiol"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib15","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1093\/brain\/118.1.279","article-title":"Contributions of anterior cingulate cortex to behaviour","volume":"118","author":"Devinsky","year":"1995","journal-title":"Brain"},{"issue":"12","key":"10.1016\/j.neurobiolaging.2026.05.006_bib16","doi-asserted-by":"crossref","first-page":"1644","DOI":"10.1038\/s41593-020-00719-y","article-title":"Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture","volume":"23","author":"Faskowitz","year":"2020","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib17","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2021.758817","article-title":"Age- and sex-related topological organization of human brain functional networks and their relationship to cognition","volume":"13","author":"Foo","year":"2021","journal-title":"Front. Aging Neurosci."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib18","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J. Stat. Soft"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib19","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/nature18933","article-title":"A multi-modal parcellation of human cerebral cortex","volume":"536","author":"Glasser","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib20","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1038\/nn.4361","article-title":"The Human Connectome Project\u2019s neuroimaging approach","volume":"19","author":"Glasser","year":"2016","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib21","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"},{"issue":"3","key":"10.1016\/j.neurobiolaging.2026.05.006_bib22","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.biopsych.2014.08.009","article-title":"Depression, neuroimaging and connectomics: a selective overview","volume":"77","author":"Gong","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib23","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1016\/j.neuroimage.2018.09.060","article-title":"Extending the human connectome project across ages: Imaging protocols for the lifespan development and aging projects","volume":"183","author":"Harms","year":"2018","journal-title":"Neuroimage"},{"issue":"7","key":"10.1016\/j.neurobiolaging.2026.05.006_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.celrep.2021.110032","article-title":"The diversity and multiplexity of edge communities within and between brain systems","volume":"37","author":"Jo","year":"2021","journal-title":"Cell Rep."},{"issue":"12","key":"10.1016\/j.neurobiolaging.2026.05.006_bib25","doi-asserted-by":"crossref","first-page":"2308","DOI":"10.1111\/jgs.12000","article-title":"Genetic and lifestyle predictors of 15\u2013year longitudinal change in episodic memory","volume":"60","author":"Josefsson","year":"2012","journal-title":"J. Am. Geriatr. Soc."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib26","article-title":"Effect of education on functional network edge efficiency in Alzheimer\u2019s disease","volume":"11","author":"Kim","year":"2021","journal-title":"Sci. Rep."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib27","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1162\/netn_a_00110","article-title":"Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects","volume":"4","author":"Kong","year":"2020","journal-title":"Netw. Neurosci."},{"issue":"5","key":"10.1016\/j.neurobiolaging.2026.05.006_bib28","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v028.i05","article-title":"Building predictive models in R using the caret package","volume":"28","author":"Kuhn","year":"2008","journal-title":"J. Stat. Softw."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib29","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1093\/brain\/awt162","article-title":"The role of the posterior cingulate cortex in cognition and disease","volume":"137","author":"Leech","year":"2014","journal-title":"Brain"},{"issue":"10452","key":"10.1016\/j.neurobiolaging.2026.05.006_bib30","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/S0140-6736(24)01296-0","article-title":"Dementia prevention, intervention, and care: 2024 report of the Lancet Standing Commission","volume":"404","author":"Livingston","year":"2024","journal-title":"Lancet"},{"issue":"5","key":"10.1016\/j.neurobiolaging.2026.05.006_bib31","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1076\/jcen.25.5.680.14579","article-title":"Literacy and memory decline among ethnically diverse elders","volume":"25","author":"Manly","year":"2003","journal-title":"J. Clin. Exp. Neuropsychol."},{"issue":"11","key":"10.1016\/j.neurobiolaging.2026.05.006_bib32","doi-asserted-by":"crossref","first-page":"5930","DOI":"10.1093\/cercor\/bhaa167","article-title":"Brain network segregation and glucose energy utilization: relevance for age-related differences in cognitive function","volume":"30","author":"Manza","year":"2020","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib33","doi-asserted-by":"crossref","first-page":"921","DOI":"10.3389\/fnins.2020.00921","article-title":"Alzheimer\u2019s retinopathy: seeing disease in the eyes","volume":"14","author":"Mirzaei","year":"2020","journal-title":"Front. Neurosci."},{"issue":"2","key":"10.1016\/j.neurobiolaging.2026.05.006_bib34","doi-asserted-by":"crossref","first-page":"e105","DOI":"10.1016\/S2468-2667(21)00249-8","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019","volume":"7","author":"Nichols","year":"2022","journal-title":"Lancet Public Health"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib35","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1136\/bjsports-2016-096587","article-title":"Exercise interventions for cognitive function in adults older than 50: a systematic review with meta-analysis","volume":"52","author":"Northey","year":"2018","journal-title":"Br. J. Sports Med."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.116604","article-title":"Optimising network modelling methods for fMRI","volume":"211","author":"Pervaiz","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.116974","article-title":"The modular organization of brain cortical connectivity across the human lifespan","volume":"218","author":"Puxeddu","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neurobiolaging.2021.03.012","article-title":"Association between metabolic syndrome and resting-state functional brain connectivity","volume":"104","author":"Rashid","year":"2021","journal-title":"Neurobiol. Aging"},{"issue":"3","key":"10.1016\/j.neurobiolaging.2026.05.006_bib39","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1007\/s11065-014-9270-9","article-title":"How does it STAC up? Revisiting the scaffolding theory of aging and cognition","volume":"24","author":"Reuter-Lorenz","year":"2014","journal-title":"Neuropsychol. Rev."},{"issue":"4","key":"10.1016\/j.neurobiolaging.2026.05.006_bib40","doi-asserted-by":"crossref","first-page":"956","DOI":"10.1523\/JNEUROSCI.4166-03.2004","article-title":"Shrinkage of the entorhinal cortex over five years predicts memory performance in healthy adults","volume":"24","author":"Rodrigue","year":"2004","journal-title":"J. Neurosci."},{"issue":"3","key":"10.1016\/j.neurobiolaging.2026.05.006_bib41","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"Neuroimage"},{"issue":"25","key":"10.1016\/j.neurobiolaging.2026.05.006_bib42","doi-asserted-by":"crossref","DOI":"10.1523\/JNEUROSCI.1701-23.2024","article-title":"Edge-community entropy is a novel neural correlate of aging and moderator of fluid cognition","volume":"44","author":"Shankar","year":"2024","journal-title":"JNeurosci"},{"issue":"9","key":"10.1016\/j.neurobiolaging.2026.05.006_bib43","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1089\/brain.2014.0286","article-title":"Age-related reorganizational changes in modularity and functional connectivity of human brain networks","volume":"4","author":"Song","year":"2014","journal-title":"Brain Connect."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib44","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1146\/annurev-psych-122414-033634","article-title":"Modular brain networks","volume":"67","author":"Sporns","year":"2016","journal-title":"Annu. Rev. Psychol."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib45","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0030468","article-title":"Functional brain network modularity captures inter- and intra-individual variation in working memory capacity","volume":"7","author":"Stevens","year":"2012","journal-title":"PLoS One"},{"issue":"2","key":"10.1016\/j.neurobiolaging.2026.05.006_bib46","doi-asserted-by":"crossref","DOI":"10.1093\/sleep\/zsad274","article-title":"Comprehensive assessment of sleep duration, insomnia, and brain structure within the UK Biobank cohort","volume":"47","author":"Stolicyn","year":"2024","journal-title":"Sleep"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib47","doi-asserted-by":"crossref","first-page":"56","DOI":"10.3389\/fnagi.2019.00056","article-title":"A review and hypothesized model of the mechanisms that underpin the relationship between inflammation and cognition in the elderly","volume":"11","author":"Tangestani Fard","year":"2019","journal-title":"Front. Aging Neurosci."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2026.05.006_bib48","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1038\/s41583-021-00457-5","article-title":"Environmental influences on the pace of brain development","volume":"22","author":"Tooley","year":"2021","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib49","doi-asserted-by":"crossref","first-page":"234","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."},{"issue":"2","key":"10.1016\/j.neurobiolaging.2026.05.006_bib50","first-page":"123","article-title":"Cognitive behavioral therapy for insomnia (CBT-I): a primer","volume":"11","author":"Walker","year":"2022","journal-title":"Klin. i Spetsial\u2019naia Psikhologiia"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2026.05.006_bib51","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1038\/s41386-019-0478-5","article-title":"Bidirectional relationship between sleep and Alzheimer\u2019s disease: role of amyloid, tau, and other factors","volume":"45","author":"Wang","year":"2020","journal-title":"Neuropsychopharmacology"},{"issue":"24","key":"10.1016\/j.neurobiolaging.2026.05.006_bib52","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2204144119","article-title":"Acute stress promotes brain network integration and reduces state transition variability","volume":"119","author":"Wang","year":"2022","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"12","key":"10.1016\/j.neurobiolaging.2026.05.006_bib53","doi-asserted-by":"crossref","first-page":"1172","DOI":"10.1212\/WNL.0000000000003732","article-title":"Prolonged sleep duration as a marker of early neurodegeneration predicting incident dementia","volume":"88","author":"Westwood","year":"2017","journal-title":"Neurology"},{"issue":"2","key":"10.1016\/j.neurobiolaging.2026.05.006_bib54","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1007\/s00127-005-0858-5","article-title":"The relationship of fatigue to mental and physical health in a community sample","volume":"40","author":"Williamson","year":"2005","journal-title":"Soc. Psychiatry Psychiatr. Epidemiol."},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib55","series-title":"Best Practices for Machine Learning Applications","author":"Wujek","year":"2016"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib56","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.neuroimage.2017.12.011","article-title":"Network analysis reveals disrupted functional brain circuitry in drug-naive social anxiety disorder","volume":"190","author":"Yang","year":"2019","journal-title":"Neuroimage"},{"issue":"9","key":"10.1016\/j.neurobiolaging.2026.05.006_bib57","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0133775","article-title":"Changes of functional brain networks in major depressive disorder: a graph theoretical analysis of resting-state fMRI","volume":"10","author":"Ye","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib58","doi-asserted-by":"crossref","DOI":"10.1016\/j.pnpbp.2021.110401","article-title":"Graph theory approach for the structural-functional brain connectome of depression","volume":"111","author":"Yun","year":"2021","journal-title":"Prog. Neuropsychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.neurobiolaging.2026.05.006_bib59","doi-asserted-by":"crossref","DOI":"10.1016\/j.ynstr.2020.100231","article-title":"Stress-induced changes in modular organizations of human brain functional networks","volume":"13","author":"Zhang","year":"2020","journal-title":"Neurobiol. Stress"},{"issue":"2","key":"10.1016\/j.neurobiolaging.2026.05.006_bib60","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."}],"container-title":["Neurobiology of Aging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0197458026000904?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0197458026000904?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T22:36:19Z","timestamp":1785969379000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0197458026000904"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":60,"alternative-id":["S0197458026000904"],"URL":"https:\/\/doi.org\/10.1016\/j.neurobiolaging.2026.05.006","relation":{},"ISSN":["0197-4580"],"issn-type":[{"value":"0197-4580","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Biopsychosocial and demographic predictors of functional brain network specialization and segregation across the adult lifespan","name":"articletitle","label":"Article Title"},{"value":"Neurobiology of Aging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neurobiolaging.2026.05.006","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}