{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T19:47:45Z","timestamp":1789760865956,"version":"4.0.1"},"reference-count":27,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["brainstimjrnl.com","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Brain Stimulation"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1016\/j.brs.2020.11.009","type":"journal-article","created":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T12:52:58Z","timestamp":1605617578000},"page":"69-73","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"title":["White matter hyperintensities affect transcranial electrical stimulation in the aging brain"],"prefix":"10.1016","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5994-5514","authenticated-orcid":false,"given":"Aprinda","family":"Indahlastari","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2727-6616","authenticated-orcid":false,"given":"Alejandro","family":"Albizu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7410-7682","authenticated-orcid":false,"given":"Emanuel M.","family":"Boutzoukas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"O\u2019Shea","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam J.","family":"Woods","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.brs.2020.11.009_bib1","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1038\/nrneurol.2015.10","article-title":"White matter hyperintensities, cognitive impairment and dementia: an update","volume":"11","author":"Prins","year":"2015","journal-title":"Nat Rev Neurol"},{"key":"10.1016\/j.brs.2020.11.009_bib2","doi-asserted-by":"crossref","DOI":"10.1001\/archneur.58.5.742","article-title":"Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions","author":"Bakshi","year":"2001","journal-title":"Arch Neurol"},{"key":"10.1016\/j.brs.2020.11.009_bib3","series-title":"Encycl. Gerontol. Popul. Aging","first-page":"1","article-title":"White matter hyper-intensities","author":"O\u2019Shea","year":"2019"},{"key":"10.1016\/j.brs.2020.11.009_bib4","doi-asserted-by":"crossref","DOI":"10.1212\/01.wnl.0000249119.95747.1f","article-title":"Extent and distribution of white matter hyperintensities in normal aging","author":"Yoshita","year":"2006","journal-title":"MCI, and AD. Neurology"},{"key":"10.1016\/j.brs.2020.11.009_bib5","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2019.00695","article-title":"Enhanced regional homogeneity and functional connectivity in subjects with white matter hyperintensities and cognitive impairment","author":"Ye","year":"2019","journal-title":"Front Neurosci"},{"key":"10.1016\/j.brs.2020.11.009_bib6","article-title":"Prevalence of white matter hyperintensities increases with age","author":"Zhuang","year":"2018","journal-title":"Neural Regen Res"},{"key":"10.1016\/j.brs.2020.11.009_bib7","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1136\/jnnp.70.1.9","article-title":"Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study","volume":"70","author":"de Leeuw","year":"2001","journal-title":"J\u00a0Neurol Neurosurg Psychiatry"},{"key":"10.1016\/j.brs.2020.11.009_bib8","doi-asserted-by":"crossref","DOI":"10.1177\/0271678X17740501","article-title":"Lesion location matters: the relationships between white matter hyperintensities on cognition in the healthy elderly","author":"Lampe","year":"2019","journal-title":"J\u00a0Cerebr Blood Flow Metabol"},{"key":"10.1016\/j.brs.2020.11.009_bib9","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1161\/01.STR.27.8.1274","article-title":"Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people","volume":"27","author":"Longstreth","year":"1996","journal-title":"Stroke"},{"key":"10.1016\/j.brs.2020.11.009_bib10","doi-asserted-by":"crossref","first-page":"177","DOI":"10.3389\/fnagi.2018.00177","article-title":"Non-invasive brain stimulation: probing intracortical circuits and improving cognition in the aging brain","volume":"10","author":"Gomes-Osman","year":"2018","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.brs.2020.11.009_bib11","doi-asserted-by":"crossref","DOI":"10.3390\/brainsci10050304","article-title":"Optimising cognitive enhancement: systematic assessment of the effects of tdcs duration in older adults","author":"Hanley","year":"2020","journal-title":"Brain Sci"},{"key":"10.1016\/j.brs.2020.11.009_bib12","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/aafbbd","article-title":"Benchmarking transcranial electrical stimulation finite element models: a comparison study","volume":"16","author":"Indahlastari","year":"2019","journal-title":"J\u00a0Neural Eng"},{"key":"10.1016\/j.brs.2020.11.009_bib13","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1007\/s10548-019-00710-2","article-title":"Variation in reported human head tissue electrical conductivity values","volume":"32","author":"McCann","year":"2019","journal-title":"Brain Topogr"},{"key":"10.1016\/j.brs.2020.11.009_bib14","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1016\/j.brs.2020.02.007","article-title":"Modeling transcranial electrical stimulation in the aging brain","volume":"13","author":"Indahlastari","year":"2020","journal-title":"Brain Stimul"},{"key":"10.1016\/j.brs.2020.11.009_bib15","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/ab208d","article-title":"Realistic vOlumetric-Approach to Simulate Transcranial Electric Stimulation -- ROAST -- a fully automated open-source pipeline","author":"Huang","year":"2019","journal-title":"J\u00a0Neural Eng"},{"key":"10.1016\/j.brs.2020.11.009_bib16","doi-asserted-by":"crossref","first-page":"3774","DOI":"10.1016\/j.neuroimage.2011.11.032","article-title":"An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis","volume":"59","author":"Schmidt","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.brs.2020.11.009_bib17","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.brs.2010.11.001","article-title":"Individualized model predicts brain current flow during transcranial direct-current stimulation treatment in responsive stroke patient","volume":"4","author":"Datta","year":"2011","journal-title":"Brain Stimul"},{"key":"10.1016\/j.brs.2020.11.009_bib18","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1016\/j.neuroimage.2007.01.027","article-title":"Transcranial direct current stimulation: a computer-based human model study","volume":"35","author":"Wagner","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.brs.2020.11.009_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2006.01.021","article-title":"An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest","author":"Desikan","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.brs.2020.11.009_bib20","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"Fischl","year":"2012","journal-title":"FreeSurfer. Neuroimage"},{"key":"10.1016\/j.brs.2020.11.009_bib21","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2018.00177","article-title":"Non-invasive brain stimulation: probing intracortical circuits and improving cognition in the aging brain","volume":"10","author":"Gomes-Osman","year":"2018","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.brs.2020.11.009_bib22","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2016.00328","article-title":"Frontal structural neural correlates of working memory performance in older adults","volume":"8","author":"Nissim","year":"2017","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.brs.2020.11.009_bib23","doi-asserted-by":"crossref","DOI":"10.1016\/j.brs.2017.09.013","article-title":"Computational human head models of tDCS: influence of brain atrophy on current density distribution","author":"Mahdavi","year":"2018","journal-title":"Brain Stimul"},{"key":"10.1016\/j.brs.2020.11.009_bib24","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0228119","article-title":"A\u00a0flexible workflow for simulating transcranial electric stimulation in healthy and lesioned brains","author":"Kalloch","year":"2020","journal-title":"PloS One"},{"key":"10.1016\/j.brs.2020.11.009_bib25","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.brs.2009.03.007","article-title":"Role of cortical cell type and morphology in subthreshold and suprathreshold uniform electric field stimulation in\u00a0vitro","volume":"2","author":"Radman","year":"2009","journal-title":"Brain Stimul"},{"key":"10.1016\/j.brs.2020.11.009_bib26","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1038\/s41380-019-0499-9","article-title":"Transcranial direct current stimulation: a roadmap for research, from mechanism of action to clinical implementation","volume":"25","author":"Chase","year":"2020","journal-title":"Mol Psychiatr"},{"issue":"6","key":"10.1016\/j.brs.2020.11.009_bib27","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1016\/j.brs.2020.10.001","article-title":"Machine learning and individual variability in electric field characteristics predict tDCS treatment response","volume":"13","author":"Albizu","year":"2020","journal-title":"Brain Stimulation"}],"container-title":["Brain Stimulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1935861X20302965?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1935861X20302965?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T14:15:55Z","timestamp":1761833755000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1935861X20302965"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["S1935861X20302965"],"URL":"https:\/\/doi.org\/10.1016\/j.brs.2020.11.009","relation":{},"ISSN":["1935-861X"],"issn-type":[{"value":"1935-861X","type":"print"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"White matter hyperintensities affect transcranial electrical stimulation in the aging brain","name":"articletitle","label":"Article Title"},{"value":"Brain Stimulation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.brs.2020.11.009","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"}]}}