Journal article
Altered effective connectivity patterns of the default mode network in Alzheimer's disease: an fMRI study
Neuroscience letters, Vol.578, pp.171-175
08/22/2014
DOI: 10.1016/j.neulet.2014.06.043
PMCID: PMC6293460
PMID: 24996191
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.
Details
- Title: Subtitle
- Altered effective connectivity patterns of the default mode network in Alzheimer's disease: an fMRI study
- Creators
- Yufang Zhong - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, ChinaLiyu Huang - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, China. Electronic address: huangly@mail.xidian.edu.cnSuping Cai - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, ChinaYun Zhang - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, ChinaKaren M von Deneen - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, ChinaAifeng Ren - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, ChinaJunchan Ren - School of Life Science and Technology, Xidian University, Xi-an, Shaanxi 710071, ChinaAlzheimer's Disease Neuroimaging Initiative
- Contributors
- Laura L Boles-Ponto (Contributor) - University of Iowa, Radiology
- Resource Type
- Journal article
- Publication Details
- Neuroscience letters, Vol.578, pp.171-175
- DOI
- 10.1016/j.neulet.2014.06.043
- PMID
- 24996191
- PMCID
- PMC6293460
- NLM abbreviation
- Neurosci Lett
- ISSN
- 0304-3940
- eISSN
- 1872-7972
- Publisher
- Ireland
- Grant note
- U01 AG024904 / NIA NIH HHS P30 AG013846 / NIA NIH HHS
- Language
- English
- Date published
- 08/22/2014
- Academic Unit
- Radiology; Pharmaceutical Sciences and Experimental Therapeutics
- Record Identifier
- 9984051555702771
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