4.2 Article

Altered Effective Connectivity of the Default Mode Network in Resting-State Amnestic Type Mild Cognitive Impairment

Journal

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S1355617712001580

Keywords

Amnestic mild cognitive impairment; Default mode network; Effective connectivity; Independent component analysis; Multivariate Granger causality analysis; Resting fMRI

Funding

  1. Program for New Century Excellent Talents in University of Ministry of Education of China [NCET-08-0801]
  2. Key Program of the 11th Five Year'' Plan of National Education Science of China [DBA070070]
  3. Fundamental Research Funds for the Central University
  4. National Natural Science Foundation of China [81071217]
  5. Beijing Nova program [Z111101054511116]
  6. Beijing Natural Science Foundation [4122082]

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Amnestic mild cognitive impairment (aMCI) is the transitional, heterogeneous continuum from normal elderly to Alzheimer's disease (AD). Previous studies have shown that brain functional activity in the default mode network (DMN) is impaired in aMCI patients with saliently cognitive and memory decline. However, the effective connectivity among the spatially isolated, but functionally related areas within the DMN in aMCI patients remains largely unknown. The present study examined dysfunctional connectivity of the DMN by combining an independent component analysis (ICA) approach with multivariate Granger causality analysis (mGCA) in 18 aMCI patients and 18 age-matched cognitively normal elderly. Results from mGCA showed decreased effective connectivity occurred among the middle temporal gyrus (MTG), hippocampus (HC) and fusiform gyrus (FG), as well as between the precuneus/posterior cingulate cortex (PreCN/PCC) and HC in patients with aMCI. Such an impaired connectivity was also correlated with patients' cognitive performance of the auditory verbal learning. Moreover, enhanced effective connectivity within frontal cortex emerged, which may maintain memory functions after attenuated connections within DMN activity. These findings may elucidate the dysfunctional processes in brain networks of aMCI patients, highlighting the importance of connectivity changes in the pathophysiology of aMCI. (JINS, 2013, 19, 400-409)

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