Evidence map›Paper›PMID 35914670›Full record

ArticleNeuroImage2022

Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease.

Jeremy F Strain, Matthew R Brier, Aaron Tanenbaum, Brian A Gordon, John E McCarthy, Aylin Dincer, Daniel S Marcus, Jasmeer P Chhatwal, Neill R Graff-Radford, Gregory S Day and 13 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Sleep deprivation exhibits an age-dependent effect on infraslow global brain activity.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. Aging and the Spectral Properties of Brain Hemodynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
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  9. Dissociable Effects of Alzheimer's Disease-Related Cognitive Dysfunction and Aging on Functional Brain Network Segregation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  10. Article
  11. Article
  12. Article
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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

23 authors at 9 institutions in 4 countries.

Jeremy F StrainDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA.
Matthew R BrierDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA.
Aaron TanenbaumDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA.
Brian A GordonDepartment of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA; Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA.
John E McCarthyDepartment of Mathematics and Statistics, Washington University, St. Louis, MO 63130, USA.
Aylin DincerDepartment of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA.
Daniel S MarcusDepartment of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA; Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA.
Jasmeer P ChhatwalMartinos Center, Massachusetts General Hospital, 149 13th St Room 2662, Charlestown, MA 02129, USA.
Neill R Graff-RadfordDepartment of Neurology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, Fl 32224, USA.
Gregory S DayDepartment of Neurology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, Fl 32224, USA.
Christian la FougèreDepartment of Nuclear Medicine and Clinical Molecular Imaging, Universityhospital Tübingen, Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany.
Richard J PerrinDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA; Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA; Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO 63110, USA.
Stephen SallowayAlpert Medical School of Brown University, 345 Blackstone Boulevard, Providence, RI 02906, USA.
Peter R SchofieldNeuroscience Research Australia, Sydney, NSW 2131, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Igor YakushevDepartment of Nuclear Medicine, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.
Takeshi IkeuchiDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Japan.
Jonathan VögleinDepartment of Neurology, Ludwig-Maximilians-Universität Munich, Germany.
John C MorrisDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA; Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA.
Tammie L S BenzingerDepartment of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA; Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA.
Randall J BatemanDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA; Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA; Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO 63110, USA.
Beau M AncesDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA; Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO 63110, USA.
Abraham Z SnyderDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA. Electronic address: avi@npg.wustl.edu.
Dominantly Inherited Alzheimer Network
Washington University in St. Louis · USMayo Clinic in Florida · USBrown University · USGerman Center for Neurodegenerative Diseases · DELudwig-Maximilians-Universität München · DEMassachusetts General Hospital · USNiigata University · JPTUM Klinikum · DEUNSW Sydney · AU

Funding

DIAN-TU Primary Prevention Trial NfL Characterization Admin SuppU01AG059798 · NIA · WASHINGTON UNIVERSITY · PI MCDADE, ERIC MARTIN · 2018 to 2025
$97.9M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
DIAN-TU: Tau Next Generation Prevention Trial - Administrative SupplementR01AG068319 · NIA · WASHINGTON UNIVERSITY · PI RANDALL J BATEMAN · 2020 to 2026
$81.4M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Hyun-Sik Yang · 2010 to 2026
$50.2M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
DIAN-TU Next Generation Prevention Trial - Data Request Management SupplementR01AG053267 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2017 to 2023
$34.9M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Celeste Marie Karch · 2020 to 2026
$28.7M
Dominantly Inherited Alzheimer's Network Trials Unit - Adaptive Prevention TrialR01AG046179 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2019
$26.6M
Medical Research Council MR/009076/1Medical Research Council MR/L023784/1NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIA NIH HHS K01 AG053474NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P01 AG036694NIA NIH HHS P30 AG066444NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG046179NIA NIH HHS R01 AG052550NIA NIH HHS R01 AG053267NIA NIH HHS R01 AG062667NIA NIH HHS R01 AG068319NIA NIH HHS R56 AG053267NIA NIH HHS U01 AG032438NIA NIH HHS U01 AG042791NIA NIH HHS U01 AG059798NIA NIH HHS U19 AG032438NIA NIH HHS UF1 AG032438NIBIB NIH HHS R01 EB009352NIH HHS S10 OD025214NINDS NIH HHS P01 NS080675NINDS NIH HHS P30 NS048056NINDS NIH HHS P30 NS098577NINDS NIH HHS R25 NS090978NINR NIH HHS R01 NR012657NINR NIH HHS R01 NR012907NINR NIH HHS R01 NR014449
6 · The paper itself

Abstract

Prior studies of aging and Alzheimer disease have evaluated resting state functional connectivity (FC) using either seed-based correlation (SBC) or independent component analysis (ICA), with a focus on particular functional systems. SBC and ICA both are insensitive to differences in signal amplitude. At the same time, accumulating evidence indicates that the amplitude of spontaneous BOLD signal fluctuations is physiologically meaningful. We systematically compared covariance-based FC, which is sensitive to amplitude, vs. correlation-based FC, which is not, in affected individuals and controls drawn from two cohorts of participants including autosomal dominant Alzheimer disease (ADAD), late onset Alzheimer disease (LOAD), and age-matched controls. Functional connectivity was computed over 222 regions of interest and group differences were evaluated in terms of components projected onto a space of lower dimension. Our principal observations are: (1) Aging is associated with global loss of resting state fMRI signal amplitude that is approximately uniform across resting state networks. (2) Thus, covariance FC measures decrease with age whereas correlation FC is relatively preserved in healthy aging. (3) In contrast, symptomatic ADAD and LOAD both lead to loss of spontaneous activity amplitude as well as severely degraded correlation structure. These results demonstrate a double dissociation between age vs. Alzheimer disease and the amplitude vs. correlation structure of resting state BOLD signals. Modeling results suggest that the AD-associated loss of correlation structure is attributable to a relative increase in the fraction of locally restricted as opposed to widely shared variance.

Indexed as

Alzheimer DiseaseHealthy AgingAgingBrainHumansMagnetic Resonance ImagingAgingAutosomal dominant Alzheimer diseaseCovarianceLate onset Alzheimer diseaseResting-state functional connectivity

Identifiers

PMID35914670
PMCPMC9750733
OpenAlexW4288810174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.