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Altered effective connectivity patterns of the default mode network in Alzheimer's disease: an fMRI study
Journal article   Peer reviewed

Altered effective connectivity patterns of the default mode network in Alzheimer's disease: an fMRI study

Yufang Zhong, Liyu Huang, Suping Cai, Yun Zhang, Karen M von Deneen, Aifeng Ren, Junchan Ren and Alzheimer's Disease Neuroimaging Initiative
Neuroscience letters, Vol.578, pp.171-175
08/22/2014
DOI: 10.1016/j.neulet.2014.06.043
PMCID: PMC6293460
PMID: 24996191

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Abstract

The aim of this work is to investigate the differences of effective connectivity of the default mode network (DMN) in Alzheimer's disease (AD) patients and normal controls (NC). The technique of independent component analysis (ICA) was applied to identify DMN components and multivariate Granger causality analysis (mGCA) was used to explore an effective connectivity pattern. We found that: (i) connections in AD were decreased than those in NC, in terms of intensity and quantity. Posterior cingulated cortex (PCC) exhibited significant activity in NC as it connected with most of the other regions within the DMN. Besides, the PCC was the convergence center which only received interactions from other regions; (ii) right inferior temporal cortex (rITC) in the NC exhibited stronger interactions with other regions within the DMN compared with AD patients; and (iii) interactions between medial prefrontal cortex (MPFC) and bilateral inferior parietal cortex (IPC) in the NC were weaker than those in AD patients. These findings may implicate a brain dysfunction in AD patients and reveal more pathophysiological characteristics of AD.
Magnetic Resonance Imaging Alzheimer Disease - physiopathology Brain - physiopathology Humans Middle Aged Aged, 80 and over Brain Mapping Female Male Aged Nerve Net - physiopathology

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