{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T03:19:10Z","timestamp":1792034350407,"version":"4.4.0"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2019,12,28]],"date-time":"2019-12-28T00:00:00Z","timestamp":1577491200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Norges Forskningsr\u00e5d","doi-asserted-by":"publisher","award":["248238"],"award-info":[{"award-number":["248238"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Norges Forskningsr\u00e5d","doi-asserted-by":"publisher","award":["249795"],"award-info":[{"award-number":["249795"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017140","name":"Sunnaas sykehus HF","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017140","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"Helse S\u00f8r-\u00d8st RHF","doi-asserted-by":"publisher","award":["2014097"],"award-info":[{"award-number":["2014097"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"Helse S\u00f8r-\u00d8st RHF","doi-asserted-by":"publisher","award":["2015044"],"award-info":[{"award-number":["2015044"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"Helse S\u00f8r-\u00d8st RHF","doi-asserted-by":"publisher","award":["2015073"],"award-info":[{"award-number":["2015073"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"Helse S\u00f8r-\u00d8st RHF","doi-asserted-by":"publisher","award":["2018076"],"award-info":[{"award-number":["2018076"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007601","name":"Horizon 2020","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007601","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000268","name":"Biotechnology and Biological Sciences Research Council","doi-asserted-by":"publisher","award":["BB\/H008217\/1"],"award-info":[{"award-number":["BB\/H008217\/1"]}],"id":[{"id":"10.13039\/501100000268","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000735","name":"University of Cambridge","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000735","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["802998"],"award-info":[{"award-number":["802998"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009471","name":"EkstraStiftelsen Helse og Rehabilitering","doi-asserted-by":"publisher","award":["2015\/FO5146"],"award-info":[{"award-number":["2015\/FO5146"]}],"id":[{"id":"10.13039\/100009471","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1016\/j.nicl.2019.102159","type":"journal-article","created":{"date-parts":[[2019,12,30]],"date-time":"2019-12-30T02:09:33Z","timestamp":1577671773000},"page":"102159","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":59,"special_numbering":"C","title":["Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training"],"prefix":"10.1016","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6475-2576","authenticated-orcid":false,"given":"Genevi\u00e8ve","family":"Richard","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Knut","family":"Kolsk\u00e5r","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristine M.","family":"Ulrichsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Kaufmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dag","family":"Aln\u00e6s","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne-Marthe","family":"Sanders","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erlend S.","family":"D\u00f8rum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Monereo S\u00e1nchez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anders","family":"Petersen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hege","family":"Ihle-Hansen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan Egil","family":"Nordvik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8644-956X","authenticated-orcid":false,"given":"Lars T.","family":"Westlye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2019.102159_bib0001","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1162\/jocn_a_00979","article-title":"Enhancing working memory training with transcranial direct current stimulation","volume":"28","author":"Au","year":"2016","journal-title":"J. Cogn. Neurosci."},{"key":"10.1016\/j.nicl.2019.102159_bib0002","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1159\/000492920","article-title":"Systematic review and meta-analysis of prevalence in post-stroke neurocognitive disorders in hospital-based studies","volume":"46","author":"Barbay","year":"2018","journal-title":"Dement. Geriatr. Cogn. Disord."},{"key":"10.1016\/j.nicl.2019.102159_bib0003","doi-asserted-by":"crossref","first-page":"1608","DOI":"10.1212\/WNL.0b013e3181fb44c8","article-title":"Auckland stroke outcomes study. Part 2: cognition and functional outcomes 5 years poststroke","volume":"75","author":"Barker Collo","year":"2010","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2019.102159_bib0004","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-Methodol."},{"key":"10.1016\/j.nicl.2019.102159_bib0005","first-page":"275","article-title":"Recovery from post-stroke aphasia: lessons from brain imaging and implications for rehabilitation and biological treatments","volume":"12","author":"Berthier","year":"2011","journal-title":"Discov. Med."},{"key":"10.1016\/j.nicl.2019.102159_bib0006","article-title":"Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis","author":"Boyle","year":"2019","journal-title":"bioRxiv"},{"key":"10.1016\/j.nicl.2019.102159_bib0007","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1037\/0033-295X.97.4.523","article-title":"A theory of visual attention","volume":"97","author":"Bundesen","year":"1990","journal-title":"Psychol. Rev."},{"key":"10.1016\/j.nicl.2019.102159_bib0008","series-title":"Principles of Visual Attention: Linking Mind and Brain","author":"Bundesen","year":"2008"},{"key":"10.1016\/j.nicl.2019.102159_bib0009","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v045.i03","article-title":"mice: multivariate imputation by chained equations inR","volume":"45","author":"Buuren","year":"2011","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.nicl.2019.102159_bib0010","series-title":"In: Statistical Models in S","author":"Chambers","year":"1992"},{"key":"10.1016\/j.nicl.2019.102159_othref0002","series-title":"XGBoost: a scalable tree boosting system","author":"Chen","year":"2016"},{"key":"10.1016\/j.nicl.2019.102159_bib0012","unstructured":"Chen T., He T., Benesty M., Khotilovich V., Tang Y. 2017. xgboost: extreme gradient boosting. https:\/\/CRAN.R-project.org\/package=xgboost. R package version 0.6-4."},{"key":"10.1016\/j.nicl.2019.102159_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.tins.2017.10.001","article-title":"Predicting age using neuroimaging: innovative brain ageing biomarkers","author":"Cole","year":"2017","journal-title":"Trends. Neurosci."},{"key":"10.1016\/j.nicl.2019.102159_bib0014","article-title":"Brain age and other bodily \u2018ages\u2019: implications for neuropsychiatry","author":"Cole","year":"2018","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102159_bib0015","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.jpsychores.2014.08.009","article-title":"The importance of cognition to quality of life after stroke","volume":"77","author":"Cumming","year":"2014","journal-title":"J. Psychosom. Res."},{"key":"10.1016\/j.nicl.2019.102159_bib0016","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/nimg.1998.0395","article-title":"Cortical surface-based analysis - I. Segmentation and surface reconstruction","volume":"9","author":"Dale","year":"1999","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0017","series-title":"Delis-Kaplan Executive Function System: Technical Manual","author":"Delis","year":"2001"},{"key":"10.1016\/j.nicl.2019.102159_bib0018","series-title":"California Verbal Learning Test-Second","author":"Delis","year":"2000"},{"key":"10.1016\/j.nicl.2019.102159_bib0019","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.jmp.2011.08.005","article-title":"Generalizing parametric models by introducing trial-by-trial parameter variability: the case of tva","volume":"55","author":"Dyrholm","year":"2011","journal-title":"J. Math. Psychol."},{"key":"10.1016\/j.nicl.2019.102159_bib0020","doi-asserted-by":"crossref","first-page":"1667","DOI":"10.1016\/j.neuroimage.2010.05.041","article-title":"Effects of memory training on cortical thickness in the elderly","volume":"52","author":"Engvig","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0021","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/S0140-6736(13)61953-4","article-title":"Global and regional burden of stroke during 1990\u20132010: findings from the global burden of disease study 2010","volume":"383","author":"Feigin","year":"2014","journal-title":"The Lancet"},{"key":"10.1016\/j.nicl.2019.102159_bib0022","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1161\/CIRCRESAHA.116.308413","article-title":"Global burden of stroke","volume":"120","author":"Feigin","year":"2017","journal-title":"Circ. Res."},{"key":"10.1016\/j.nicl.2019.102159_bib0023","series-title":"An {R} Companion to Applied Regression","author":"Fox","year":"2011"},{"key":"10.1016\/j.nicl.2019.102159_bib0024","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1016\/j.neuroimage.2012.08.001","article-title":"Brain maturation: predicting individual Brainage in children and adolescents using structural MRI","volume":"63","author":"Franke","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0025","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1016\/j.neuroimage.2010.01.005","article-title":"Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters","volume":"50","author":"Franke","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0026","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.nicl.2019.102159_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.clinph.2019.04.004","article-title":"Brain networks and their relevance for stroke rehabilitation","author":"Guggisberg","year":"2019","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2019.102159_bib0028","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1161\/01.STR.0000196990.69412.fb","article-title":"Long-term outcome after stroke: evaluating health-related quality of life using utility measurements","volume":"37","author":"Haacke","year":"2006","journal-title":"Stroke"},{"key":"10.1016\/j.nicl.2019.102159_bib0029","doi-asserted-by":"crossref","first-page":"450","DOI":"10.3389\/fneur.2019.00450","article-title":"Cross-Sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis","volume":"10","author":"Hogestol","year":"2019","journal-title":"Front. Neurol."},{"key":"10.1016\/j.nicl.2019.102159_bib0030","doi-asserted-by":"crossref","unstructured":"H\u00f8gest\u00f8l E.A., Nygaard G.O., Emhjellen P.E., Kaufmann T., Beyer M.K., Sowa P., Andreassen O.A., Celius E.G., Landr\u00f8 N.I., Westlye L.T., Harbo H.F. 2019. Brain age estimation is a sensitive marker of processing speed in the early course of multiple sclerosis. bioRxiv. 10.1101\/651521.","DOI":"10.1101\/651521"},{"key":"10.1016\/j.nicl.2019.102159_bib0031","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.nicl.2013.03.005","article-title":"Predicting outcome and recovery after stroke with lesions extracted from MRI images","volume":"2","author":"Hope","year":"2013","journal-title":"Neuroimage-Clin."},{"key":"10.1016\/j.nicl.2019.102159_bib0032","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1111\/j.1747-4949.2012.00928.x","article-title":"Multifactorial vascular risk factor intervention to prevent cognitive impairment after stroke and TIA: a 12-month randomized controlled trial","volume":"9","author":"Ihle-Hansen","year":"2014","journal-title":"Int. J. Stroke"},{"key":"10.1016\/j.nicl.2019.102159_bib0033","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1002\/ana.23733","article-title":"Cognitive impairment in lacunar strokes: the SPS3 trial","volume":"72","author":"Jacova","year":"2012","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.nicl.2019.102159_bib0034","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.bbadis.2016.01.015","article-title":"Stroke injury, cognitive impairment and vascular dementia","volume":"1862","author":"Kalaria","year":"2016","journal-title":"Biochim. Biophys. Acta"},{"key":"10.1016\/j.nicl.2019.102159_bib0035","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1038\/s41593-019-0471-7","article-title":"Common brain disorders are associated with heritable patterns of apparent aging of the brain","volume":"22","author":"Kaufmann","year":"2019","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.nicl.2019.102159_bib0036","unstructured":"Kolsk\u00e5r K.K., Richard G., Aln\u00e6s D., D\u00f8rum E.S., Sanders A.-.M., Ulrichsen K.M., S\u00e1nchez J.M., Ihle-Hansen H., Nordvik J.E., Westlye L.T. 2019. A randomized, double blind study of computerized cognitive training in combination with transcranial direct currentstimulation (tDCS) in stroke patients\u2013utility of fMRI as marker for training outcome. 10.1101\/603985."},{"key":"10.1016\/j.nicl.2019.102159_bib0037","doi-asserted-by":"crossref","first-page":"317","DOI":"10.3389\/fnagi.2018.00317","article-title":"A nonlinear simulation framework supports adjusting for age when analyzing Brainage","volume":"10","author":"Le","year":"2018","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.nicl.2019.102159_bib0038","doi-asserted-by":"crossref","first-page":"3043","DOI":"10.1161\/01.STR.0000249427.74970.15","article-title":"Language rehabilitation in chronic aphasia and time postonset: a review of single-subject data","volume":"37","author":"Moss","year":"2006","journal-title":"Stroke"},{"key":"10.1016\/j.nicl.2019.102159_bib0039","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1159\/000478851","article-title":"Cognitive deficits in chronic stroke patients: neuropsychological assessment, depression, and self-reports","volume":"7","author":"Nakling","year":"2017","journal-title":"Dement. Geriatr. Cogn. Dis. Extra"},{"key":"10.1016\/j.nicl.2019.102159_bib0040","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1111\/j.1532-5415.2005.53221.x","article-title":"The montreal cognitive assessment, MOCA: a brief screening tool for mild cognitive impairment","volume":"53","author":"Nasreddine","year":"2005","journal-title":"J. Am. Geriatr. Soc."},{"key":"10.1016\/j.nicl.2019.102159_bib0041","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1046\/j.1532-5415.2002.50165.x","article-title":"Cognitive impairment after stroke: clinical determinants and its associations with long-term stroke outcomes","volume":"50","author":"Patel","year":"2002","journal-title":"J. Am. Geriatr. Soc."},{"key":"10.1016\/j.nicl.2019.102159_bib0042","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.brs.2012.03.006","article-title":"Task-specific facilitation of cognition by cathodal transcranial direct current stimulation of the cerebellum","volume":"5","author":"Pope","year":"2012","journal-title":"Brain Stimul."},{"key":"10.1016\/j.nicl.2019.102159_bib0043","series-title":"R: A Language and Environment for Statistical Computing","year":"2017"},{"key":"10.1016\/j.nicl.2019.102159_bib0044","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.neuroimage.2011.02.076","article-title":"Avoiding asymmetry-induced bias in longitudinal image processing","volume":"57","author":"Reuter","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0045","doi-asserted-by":"crossref","first-page":"1402","DOI":"10.1016\/j.neuroimage.2012.02.084","article-title":"Within-subject template estimation for unbiased longitudinal image analysis","volume":"61","author":"Reuter","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0046","doi-asserted-by":"crossref","first-page":"e5908","DOI":"10.7717\/peerj.5908","article-title":"Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry","volume":"6","author":"Richard","year":"2018","journal-title":"PeerJ"},{"key":"10.1016\/j.nicl.2019.102159_bib0047","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1186\/s12883-014-0204-1","article-title":"The Cambridge centre for ageing and neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing","volume":"14","author":"Shafto","year":"2014","journal-title":"BMC Neurol."},{"key":"10.1016\/j.nicl.2019.102159_bib0049","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuroimage.2015.09.018","article-title":"The Cambridge centre for ageing and neuroscience (Cam-CAN) data repository: structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample","volume":"144","author":"Taylor","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102159_bib0050","doi-asserted-by":"crossref","unstructured":"Ulrichsen K.M., Aln\u00e6s D., Kolsk\u00e5r K.K., Richard G., Sanders A.-.M., D\u00f8rum E.S., Ihle-Hansen H., Pedersen M.L., Torn\u00e5s S., Nordvik J.E., Westlye L.T. 2019. Dissecting the cognitive phenotype of post-stroke fatigue using drift diffusion modeling of sustained attention. 10.1101\/582502.","DOI":"10.1101\/582502"},{"key":"10.1016\/j.nicl.2019.102159_bib0051","series-title":"Wechsler Abbreviated Scale of Intelligence (WASI)","author":"Wechsler","year":"1999"},{"key":"10.1016\/j.nicl.2019.102159_bib0052","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1212\/WNL.0000000000004086","article-title":"Structural MRI markers of brain aging early after ischemic stroke","volume":"89","author":"Werden","year":"2017","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2019.102159_bib0053","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1177\/2396987316665233","article-title":"Cognitive assessment at bedside for iPad: a preliminary validation of a novel cognitive test for stroke patients","volume":"1","author":"Willer","year":"2016","journal-title":"Eur. Stroke J."},{"key":"10.1016\/j.nicl.2019.102159_bib0054","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1111\/j.2041-210X.2011.00125.x","article-title":"Guidelines for estimating repeatability","volume":"3","author":"Wolak","year":"2012","journal-title":"Method. Ecol. Evolut."},{"key":"10.1016\/j.nicl.2019.102159_bib0055","article-title":"The incidence, prevalence, and mortality of stroke in France, Germany, Italy, Spain, the UK, and the US: a literature review","volume":"2012","author":"Zhang","year":"2012","journal-title":"Stroke Res. Treat."},{"key":"10.1016\/j.nicl.2019.102159_bib0056","first-page":"255","article-title":"Assessing and restoring cognitive functions early after stroke","volume":"29","author":"Zucchella","year":"2014","journal-title":"Funct. Neurol."}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219305054?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219305054?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:28:56Z","timestamp":1761971336000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158219305054"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":55,"alternative-id":["S2213158219305054"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2019.102159","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/687079","asserted-by":"object"}]},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2019.102159","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"102159"}}