Evidence map›Paper›PMID 31177210›Full record

SynthesisJournal of Alzheimer's disease : JAD2019

Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.

Lisa T Eyler, Jeremy A Elman, Sean N Hatton, Sarah Gough, Anna K Mischel, Donald J Hagler, Carol E Franz, Anna Docherty, Christine Fennema-Notestine, Nathan Gillespie and 6 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of Alzheimer's disease : JAD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 4 pooled it
9.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 4 syntheses or guidelines pooled it, 142 citations in OpenAlex.

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  14. Resting-state functional connectivity and cognitive impairment after COVID-19 infection: Evidence from a large-scale fMRI study.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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  20. Excitation-inhibition homeostasis in Alzheimer's disease: a selective multiscale review of mechanisms, sex differences, and therapeutic opportunities.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review

21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 1 country.

Lisa T EylerDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Jeremy A ElmanDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Sean N HattonDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Sarah GoughDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Anna K MischelDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Donald J HaglerDepartment of Radiology, University of California San Diego, San Diego, CA, USA.
Carol E FranzDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Anna DochertyDepartments of Psychiatry & Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Christine Fennema-NotestineDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Nathan GillespieDepartments of Psychiatry and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Daniel GustavsonDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Michael J LyonsDepartment of Psychology, Boston University, Boston, MA, USA.
Michael C NealeDepartments of Psychiatry and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Matthew S PanizzonDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Anders M DaleDepartment of Neurosciences, University of California San Diego, San Diego, CA, USA.
William S KremenDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
University of California, San Diego · USVirginia Commonwealth University · USBoston University · USUniversity of Utah · USVA San Diego Healthcare System · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 1999 to 2011
$16.4M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
MICROSCOPIC FOUNDATION OF MULTIMODAL HUMAN IMAGINGR01MH111359 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M, DEVOR, ANNA · 2016 to 2020
$5.6M
Dynamic Inflammatory and Mood Predictors of Cognitive Aging in Bipolar DisorderR01MH103318 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EYLER, LISA T · 2014 to 2018
$2.8M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Tools for Analyzing Cortical Structure and ConnectivityR01NS052585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2006 to 2010
$2.5M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
Inferring in Vivo Cytoarchitectural Borders in the Medial Temporal LobeR01EB006758 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2007 to 2010
$1.9M
Modeling Dimensionality and Genetic Heterogeneity in SchizophreniaK01MH109765 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI DOCHERTY, ANNA R. · 2016 to 2019
$675k
NCRR NIH HHS P41 RR014075NCRR NIH HHS U24 RR021382NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R03 AG046413NIBIB NIH HHS R01 EB006758NIDA NIH HHS R01 DA018673NIMH NIH HHS K01 MH109765NIMH NIH HHS R01 MH103318NIMH NIH HHS R01 MH111359NIMH NIH HHS T32 MH020030NINDS NIH HHS R01 NS052585
6 · The paper itself

Abstract

backgroundLarge-scale brain networks such as the default mode network (DMN) are often disrupted in Alzheimer's disease (AD). Numerous studies have examined DMN functional connectivity in those with mild cognitive impairment (MCI), a presumed AD precursor, to discover a biomarker of AD risk. Prior reviews were qualitative or limited in scope or approach.

objectiveWe aimed to systematically and quantitatively review DMN resting state fMRI studies comparing MCI and healthy comparison (HC) groups.

methodsPubMed was searched for relevant articles. Study characteristics were abstracted and the number of studies showing no group difference or hyper- versus hypo-connnectivity in MCI was tallied. A voxel-wise (ES-SDM) meta-analysis was conducted to identify regional group differences.

resultsQualitatively, our review of 57 MCI versus HC comparisons suggests substantial inconsistency; 9 showed no group difference, 8 showed MCI > HC and 22 showed HC > MCI across the brain, and 18 showed regionally-mixed directions of effect. The meta-analysis of 31 studies revealed areas of significant hypo- and hyper-connectivity in MCI, including hypoconnectivity in the posterior cingulate cortex/precuneus (z = -3.1, p < 0.0001). Very few individual studies, however, showed patterns resembling the meta-analytic results. Methodological differences did not appear to explain inconsistencies.

conclusionsThe pattern of altered resting DMN function or connectivity in MCI is complex and variable across studies. To date, no index of DMN connectivity qualifies as a useful biomarker of MCI or risk for AD. Refinements to MCI diagnosis, including other biological markers, or longitudinal studies of progression to AD, might identify DMN alterations predictive of AD risk.

Indexed as

BrainCognitive DysfunctionFunctional NeuroimagingHumansMagnetic Resonance ImagingNerve NetRestAlzheimer’s diseasedefault mode networkfunctional connectivitymild cognitive impairmentposterior cingulate cortexresting state functional magnetic resonance imaging

Identifiers

PMID31177210
PMCPMC6697380
OpenAlexW2948560263

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.