Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis-

Badhwar, AmanPreet; Hoffstaedter, Felix; Orban, Pierre; Tam, Angela; Bellec, Pierre; Dansereau, Christian

doi:10.1016/j.dadm.2017.03.007

Journal Article

FZJ-2018-07657

Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis-

Badhwar, A. (Corresponding author) ; Tam, A. ; Dansereau, C. ; Orban, P. ; Hoffstaedter, F.FZJ* ; Bellec, P. (Corresponding author)

2017
Elsevier Amsterdam [u.a.]

Alzheimer's & dementia / Diagnosis, assessment & disease monitoring Diagnosis, assessment & disease monitoring [...] 8, 73 - 85 (2017) [10.1016/j.dadm.2017.03.007]

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Please use a persistent id in citations: http://hdl.handle.net/2128/21017 doi:10.1016/j.dadm.2017.03.007

Abstract: Introduction: We performed a systematic review and meta-analysis of the Alzheimer’s disease (AD)literature to examine consistency of functional connectivity alterations in AD dementia and mildcognitive impairment, using resting-state functional magnetic resonance imaging.Methods: Studies were screened using a standardized procedure. Multiresolution statistics wereperformed to assess the spatial consistency of findings across studies.Results: Thirty-four studies were included (1363 participants, average 40 per study). Consistentalterations in connectivity were found in the default mode, salience, and limbic networks in patientswith AD dementia, mild cognitive impairment, or in both groups.We also identified a strong tendencyin the literature toward specific examination of the default mode network.Discussion: Convergent evidence across the literature supports the use of resting-state connectivityas a biomarker of AD. The locations of consistent alterations suggest that highly connected hubregions in the brain might be an early target of AD. 2017 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is anopen access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Keywords: Resting-state fMRI; Functional connectivity; Alzheimer’s disease; Mild cognitive impairment; Meta-analysis1. IntroductionAlzheimer’s disease (AD) exists on a continuumcomprising a

Classification:

ddc:610

Note: The computational resources used to perform the dataanalysis were provided by Compute Canada (www.computecanada.org) and CLUMEQ (www.clumeq.mcgill.ca), which is funded in part by NSERC (MRS), FQRNT,and McGill University.This research was supported by the Canadian Consortiumon Neurodegeneration in Aging. The Canadian Consortiumon Neurodegeneration in Aging is supported bya grant from the Canadian Institutes of Health Researchwith funding from several partners including the AlzheimerSociety of Canada, Sanofi, and Women’s BrainHealth Initiative. This research was also supported bythe Courtois Foundation (P.B.) and an Alzheimer SocietyPostdoctoral Fellowship (A.B.).

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