کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6805201 1433561 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrated cortical structural marker for Alzheimer's disease
ترجمه فارسی عنوان
نشانگر ساختاری یکپارچه مغزی برای بیماری آلزایمر
کلمات کلیدی
تصویر برداری عصبی، ضخامت قشر، هندسه قورباغه، محرک اعوجاج متریک، طبقه بندی،
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی سالمندی
چکیده انگلیسی
In this article, we propose an approach to integrate cortical morphology measures for improving the discrimination of individuals with and without very mild Alzheimer's disease (AD). FreeSurfer was applied to scans collected from 83 participants with very mild AD and 124 cognitively normal individuals. We generated cortex thickness, white matter convexity (aka “sulcal depth”), and white matter surface metric distortion measures on a normalized surface atlas in this first study to integrate high resolution gray matter thickness and white matter surface geometric measures in identifying very mild AD. Principal component analysis was applied to each individual structural measure to generate eigenvectors. Discrimination power based on individual and combined measures are compared, based on stepwise logistic regression and 10-fold cross-validation. Global AD likelihood index and surface-based likelihood maps were also generated. Our results show complementary patterns on the cortical surface between thickness, which reflects gray matter atrophy, convexity, which reflects white matter sulcal depth changes and metric distortion, which reflects white matter surface area changes. The classifier integrating all 3 types of surface measures significantly improved classification performance compared with classification based on single measures. The principal component analysis-based approach provides a framework for achieving high discrimination power by integrating high-dimensional data, and this method could be very powerful in future studies for early diagnosis of diseases that are known to be associated with abnormal gyral and sulcal patterns.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurobiology of Aging - Volume 36, Supplement 1, January 2015, Pages S53-S59
نویسندگان
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