A Multimodal Structural and Functional Neuroimaging Study of Amnestic Mild Cognitive Impairment

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• 作者：Srikala Bharath ; M.B.B.S. ; D.P.M. ; M.D.^a ; ^f ; Himanshu Joshi ; M.Tech.^a ; ^e ; ^f ; John P. John ; M.B.B.S ; M.D.^a ; ^e ; ^f ; ^{jpjnimhans@gmail.com} ; ^{jpj@nimhans.ac.in} ; Rakesh Balachandar ; M.B.B.S.^b ; ^e ; ^f ; Shilpa Sadanand ; M.Sc.^a ; ^f ; Jitendra Saini ; M.B.B.S. ; D.M.^c ; Keshav J. Kumar ; Ph.D.^d ; ^f ; Mathew Varghese ; M.B.B.S. ; M.D.^a ; ^f
• 关键词：dementia ; Alzheimer's disease ; functional magnetic resonance imaging (fMRI) ; diffusion tensor imaging (DTI) ; independent component analysis (ICA) ; tract-based spatial statistics (TBSS)
• 刊名：The American Journal of Geriatric Psychiatry
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：25
• 期：2
• 页码：158-169
• 全文大小：924 K
• 卷排序：25

文摘

Examination of brain structural and functional abnormalities in amnestic mild cognitive impairment (aMCI) has the potential to enhance our understanding of the initial pathophysiological changes in dementia. We examined gray matter volumes and white matter microstructural integrity, as well as resting state functional connectivity (rsFC) in patients with aMCI (N = 48) in comparison to elderly cognitively healthy comparison subjects (N = 48). Brain volumetric comparisons were carried out using voxel-based morphometric analysis of T1-weighted images using the FMRIB Software Library. White matter microstructural integrity was examined using whole-brain tract-based spatial statistics analysis of fractional anisotropy maps generated from diffusion tensor imaging data. Finally, rsFC differences between the samples were examined by Multivariate Exploratory Linear Optimised Decomposition into Independent Components of the resting state functional magnetic resonance imaging time series, followed by between-group comparisons of selected networks using dual regression analysis. Patients with aMCI showed significant gray matter volumetric reductions in bilateral parahippocampal gyri as well as multiple other brain regions including frontal, temporal, and parietal cortices. Additionally, reduced rsFC in the anterior subdivision of the default mode network (DMN) and increased rsFC in the executive network were noted in the absence of demonstrable impairment of white matter microstructural integrity. We conclude that the demonstrable neuroimaging findings in aMCI include significant gray matter volumetric reductions in the fronto-temporo-parietal structures as well as resting state functional connectivity disturbances in DMN and executive network. These findings differentiate aMCI from healthy aging and could constitute the earliest demonstrable neuroimaging findings of incipient dementia.