{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T17:20:50Z","timestamp":1789406450176,"version":"build-2803163510"},"reference-count":42,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2011,4,11]],"date-time":"2011-04-11T00:00:00Z","timestamp":1302480000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Movement Disorders"],"published-print":{"date-parts":[[2011,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington's disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD individuals and controls. Using a 1\u2010year longitudinal design, we analyzed T<jats:sub>1<\/jats:sub>\u2010weighted structural scans in 35 preHD individuals and 22 age\u2010matched controls. We used the SIENA (Structural Image Evaluation, using Normalization, of Atrophy) software tool to yield overall percentage brain volume change (PBVC) and voxel\u2010level changes in atrophy. We calculated sample sizes for a hypothetical disease\u2010modifying (neuroprotection) study. We found significantly greater yearly atrophy in preHD individuals versus controls (mean PBVC controls, \u22120.149%; preHD, \u22120.388%; <jats:italic>P<\/jats:italic> = .031, Cohen's d = .617). For a preHD subgroup closest to disease onset, yearly atrophy was more than 3 times that of controls (mean PBVC close\u2010to\u2010onset preHD, \u22120.510%; <jats:italic>P<\/jats:italic> = .019, Cohen's d = .920). This atrophy was evident at the voxel level in periventricular regions, consistent with well\u2010established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74 close\u2010to\u2010onset individuals in each arm (treatment vs placebo) to detect a 50% slowing in yearly atrophy with 80% power. Automated whole\u2010brain analysis of structural MRI can reliably detect preHD disease progression in 1 year. These results were attained with a readily available imaging analysis tool, SIENA, which is observer independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD. \u00a9 2011 Movement Disorder Society<\/jats:p>","DOI":"10.1002\/mds.23656","type":"journal-article","created":{"date-parts":[[2011,4,12]],"date-time":"2011-04-12T01:42:26Z","timestamp":1302572546000},"page":"1481-1488","source":"Crossref","is-referenced-by-count":19,"title":["Automated structural imaging analysis detects premanifest Huntington's disease neurodegeneration within 1 year"],"prefix":"10.1002","volume":"26","author":[{"given":"D.S. 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