000858817 001__ 858817
000858817 005__ 20210130000119.0
000858817 0247_ $$2doi$$a10.1016/j.dadm.2017.03.007
000858817 0247_ $$2Handle$$a2128/21017
000858817 0247_ $$2pmid$$apmid:28560308
000858817 0247_ $$2altmetric$$aaltmetric:19725035
000858817 037__ $$aFZJ-2018-07657
000858817 082__ $$a610
000858817 1001_ $$00000-0003-3414-3395$$aBadhwar, AmanPreet$$b0$$eCorresponding author
000858817 245__ $$aResting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis-
000858817 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2017
000858817 3367_ $$2DRIVER$$aarticle
000858817 3367_ $$2DataCite$$aOutput Types/Journal article
000858817 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1545292339_28638
000858817 3367_ $$2BibTeX$$aARTICLE
000858817 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000858817 3367_ $$00$$2EndNote$$aJournal Article
000858817 500__ $$aThe 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.).
000858817 520__ $$aIntroduction: We performed a systematic review and meta-analysis of the Alzheimer’s disease (AD)literature to examine consistency of functional connectivity alterations in AD dementia and mildcognitive impairment, using resting-state functional magnetic resonance imaging.Methods: Studies were screened using a standardized procedure. Multiresolution statistics wereperformed to assess the spatial consistency of findings across studies.Results: Thirty-four studies were included (1363 participants, average 40 per study). Consistentalterations in connectivity were found in the default mode, salience, and limbic networks in patientswith AD dementia, mild cognitive impairment, or in both groups.We also identified a strong tendencyin the literature toward specific examination of the default mode network.Discussion: Convergent evidence across the literature supports the use of resting-state connectivityas a biomarker of AD. The locations of consistent alterations suggest that highly connected hubregions in the brain might be an early target of AD. 2017 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is anopen access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Keywords: Resting-state fMRI; Functional connectivity; Alzheimer’s disease; Mild cognitive impairment; Meta-analysis1. IntroductionAlzheimer’s disease (AD) exists on a continuumcomprising a
000858817 536__ $$0G:(DE-HGF)POF3-572$$a572 - (Dys-)function and Plasticity (POF3-572)$$cPOF3-572$$fPOF III$$x0
000858817 588__ $$aDataset connected to CrossRef
000858817 7001_ $$0P:(DE-HGF)0$$aTam, Angela$$b1
000858817 7001_ $$00000-0003-3363-1901$$aDansereau, Christian$$b2
000858817 7001_ $$0P:(DE-HGF)0$$aOrban, Pierre$$b3
000858817 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b4
000858817 7001_ $$0P:(DE-HGF)0$$aBellec, Pierre$$b5$$eCorresponding author
000858817 773__ $$0PERI:(DE-600)2832898-X$$a10.1016/j.dadm.2017.03.007$$gVol. 8, p. 73 - 85$$p73 - 85$$tAlzheimer's & dementia / Diagnosis, assessment & disease  monitoring Diagnosis, assessment & disease  monitoring [...]$$v8$$x2352-8729$$y2017
000858817 8564_ $$uhttps://juser.fz-juelich.de/record/858817/files/1-s2.0-S2352872917300222-main.pdf$$yOpenAccess
000858817 8564_ $$uhttps://juser.fz-juelich.de/record/858817/files/1-s2.0-S2352872917300222-main.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000858817 909CO $$ooai:juser.fz-juelich.de:858817$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000858817 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131684$$aForschungszentrum Jülich$$b4$$kFZJ
000858817 9131_ $$0G:(DE-HGF)POF3-572$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$v(Dys-)function and Plasticity$$x0
000858817 9141_ $$y2018
000858817 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000858817 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000858817 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000858817 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000858817 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000858817 920__ $$lyes
000858817 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
000858817 980__ $$ajournal
000858817 980__ $$aVDB
000858817 980__ $$aUNRESTRICTED
000858817 980__ $$aI:(DE-Juel1)INM-7-20090406
000858817 9801_ $$aFullTexts