Anatomical Correlates of the Neuropsychiatric Symptoms in Alzheimer's Disease

萎缩 基于体素的形态计量学 灰质 心理学 体素 脑岛 基底神经节 痴呆 颞叶皮质 听力学 扣带皮质 后扣带 阿尔茨海默病 神经科学 皮质(解剖学) 疾病 内科学 医学 白质 磁共振成像 中枢神经系统 放射科
作者
Xiaochen Hu,Dix Meiberth,Beate Newport,Frank Jessen
出处
期刊:Current Alzheimer Research [Bentham Science Publishers]
卷期号:12 (3): 266-277 被引量:41
标识
DOI:10.2174/1567205012666150302154914
摘要

The current study aimed to assess the relationship between the neuropsychiatric symptoms in Alzheimer’s disease (AD) and the regional grey matter (GM) volume using voxel based morphometry (VBM). Data of 85 AD patients, 208 subjects with mild cognitive impairment (MCI), and 131 healthy controls were selected from the Alzheimer’s Disease Neuroimaging Initiative. Individual VBM models across the entire sample for each items of the Neuropsychiatric Inventory Questionnaire as variables of interest were specified with four nuisance covariates, including age, sex, total intracranial volume (TIV), and Mini-Mental State Examination (MMSE) score. Agitation was related to the GM atrophy in the left inferior frontal/insula and bilateral retrosplenial cortices. Aberrant motor behavior (AMB) was related to the GM reductions in the right basal ganglia. The VBM models were recalculated by specifying three nuisance covariates (age, sex, TIV), and by excluding voxels related to AD severity by applying a MMSE mask. This procedure confirmed the first results, and additionally revealed associations between depression and GM atrophy in the left middle frontal cortex, between agitation and the GM atrophy in the left middle frontal cortex, and between AMB and GM reduction in the right inferior frontal cortex. Hierarchical multiple regression analyses using extracted mean GM value in these additional regions confirmed these associations. Finally, VBM analyses within a subgroup (85 AD patients and 41 MCI converters) largely confirmed the results. Our results suggest that specific patterns of GM atrophy within AD related neurodegeneration predispose to certain neuropsychiatric symptoms, suggesting distinct neurobiological mechanisms.
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