Open AccessResting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis
Author(s) -
Badhwar AmanPreet,
Tam Angela,
Dansereau Christian,
Orban Pierre,
Hoffstaedter Felix,
Bellec Pierre
Publication year - 2017
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1016/j.dadm.2017.03.007
Subject(s) - default mode network , meta analysis , dementia , salience (neuroscience) , cognition , psychology , resting state fmri , disease , alzheimer's disease , functional magnetic resonance imaging , neuroscience , biomarker , cognitive impairment , medicine , audiology , cognitive psychology , clinical psychology , biology , biochemistry
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 mild cognitive impairment, using resting‐state functional magnetic resonance imaging. Methods Studies were screened using a standardized procedure. Multiresolution statistics were performed to assess the spatial consistency of findings across studies. Results Thirty‐four studies were included (1363 participants, average 40 per study). Consistent alterations in connectivity were found in the default mode, salience, and limbic networks in patients with AD dementia, mild cognitive impairment, or in both groups. We also identified a strong tendency in the literature toward specific examination of the default mode network. Discussion Convergent evidence across the literature supports the use of resting‐state connectivity as a biomarker of AD. The locations of consistent alterations suggest that highly connected hub regions in the brain might be an early target of AD.