{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T21:41:21Z","timestamp":1791582081470,"version":"4.3.4"},"reference-count":42,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,11,20]],"date-time":"2017-11-20T00:00:00Z","timestamp":1511136000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["R01 NS48134"],"award-info":[{"award-number":["R01 NS48134"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["R01 29993"],"award-info":[{"award-number":["R01 29993"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["K23NS079422"],"award-info":[{"award-number":["K23NS079422"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2018,1]]},"abstract":"\n Background\/Objectives<\/jats:title>\n \n We previously showed that global brain white matter hyperintensity volume (\n WMHV<\/jats:styled-content>\n ) was associated with accelerated long\u2010term functional decline. The objective of the current study was to determine whether\n WMHV<\/jats:styled-content>\n in particular brain regions is more predictive of functional decline.\n <\/jats:p>\n <\/jats:sec>\n \n Design<\/jats:title>\n Prospective population\u2010based study.<\/jats:p>\n <\/jats:sec>\n \n Setting<\/jats:title>\n \n Northern Manhattan magnetic resonance imaging (\n MRI<\/jats:styled-content>\n ) study.\n <\/jats:p>\n <\/jats:sec>\n \n Participants<\/jats:title>\n Individuals free of stroke at baseline (N = 1,195; mean age 71 \u00b1 9; n = 460 (39%) male).<\/jats:p>\n <\/jats:sec>\n \n Measurements<\/jats:title>\n \n Participants had brain\n MRI<\/jats:styled-content>\n with axial T1, T2, and fluid attenuated inversion recovery sequences. Volumetric\n WMHV<\/jats:styled-content>\n distribution across 14 brain regions (brainstem; cerebellum; bilateral frontal, occipital, temporal, and parietal lobes; and bilateral anterior and posterior periventricular white matter (\n PVWM<\/jats:styled-content>\n )) was determined using a combination of bimodal image intensity distribution and atlas\u2010based methods. Participants had annual functional assessments using the Barthel Index (\n BI<\/jats:styled-content>\n ) (range 0\u2013100) over a mean of 7.3 years and were followed for stroke, myocardial infarction (\n MI<\/jats:styled-content>\n ), and mortality. Because there were multiple collinear variables, least absolute shrinkage and selection operator (\n LASSO<\/jats:styled-content>\n ) regression\u2013selected regional\n WMHV<\/jats:styled-content>\n variables most associated with outcomes and adjusted generalized estimating equations models were used to estimate associations with baseline\n BI<\/jats:styled-content>\n and change over time.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Using\n LASSO<\/jats:styled-content>\n regularization, only right anterior\n PVWM<\/jats:styled-content>\n was found to meet criteria for selection, and each standard deviation greater\n WMHV<\/jats:styled-content>\n was associated with accelerated functional decline of 0.95 additional\n BI<\/jats:styled-content>\n points per year (95% confidence interval (\n CI<\/jats:styled-content>\n ) = \u22121.20 to \u22120.70) in an unadjusted model, \u22120.92 points per year (95%\n CI<\/jats:styled-content>\n = \u22121.18 to \u22120.67) with baseline covariate adjustment, and \u22120.87 points per year (95%\n CI<\/jats:styled-content>\n = \u22121.12 to \u22120.62) after adjusting for incident stroke and\n MI<\/jats:styled-content>\n .\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n In this large population\u2010based study with long\u2010term repeated measures of function, periventricular\n WMHV<\/jats:styled-content>\n was particularly associated with accelerated functional decline.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/jgs.15149","type":"journal-article","created":{"date-parts":[[2017,11,20]],"date-time":"2017-11-20T09:56:38Z","timestamp":1511171798000},"page":"113-119","source":"Crossref","is-referenced-by-count":31,"title":["Periventricular White Matter Hyperintensities and Functional Decline"],"prefix":"10.1111","volume":"66","author":[{"given":"Mandip S.","family":"Dhamoon","sequence":"first","affiliation":[{"name":"Department of Neurology Icahn School of Medicine at Mount Sinai New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying\u2010Kuen","family":"Cheung","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Mailman School of Public Health Columbia University New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmet","family":"Bagci","sequence":"additional","affiliation":[{"name":"Evelyn F. 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