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Statistical parametric mapping based on high\u2010resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high\u2010resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region\u2010specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD. <jats:italic>Hum Brain Mapp 34:3400\u20133410, 2013<\/jats:italic>. \u00a9 2012 Wiley Periodicals, Inc.<\/jats:p>","DOI":"10.1002\/hbm.22157","type":"journal-article","created":{"date-parts":[[2012,8,28]],"date-time":"2012-08-28T11:48:39Z","timestamp":1346154519000},"page":"3400-3410","source":"Crossref","is-referenced-by-count":74,"title":["Distinct laterality alterations distinguish mild cognitive impairment and Alzheimer's disease from healthy aging: Statistical parametric mapping with high resolution MRI"],"prefix":"10.1002","volume":"34","author":[{"given":"Xiaojing","family":"Long","sequence":"first","affiliation":[{"name":"Paul. C. 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