Evidence map›Paper›PMID 35231927›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Age differences in the functional architecture of the human brain.

Roni Setton, Laetitia Mwilambwe-Tshilobo, Manesh Girn, Amber W Lockrow, Giulia Baracchini, Colleen Hughes, Alexander J Lowe, Benjamin N Cassidy, Jian Li, Wen-Ming Luh and 11 more

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
9.7field-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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  7. Article
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  9. Article
  10. Individualized Mapping of Functional Brain Networks in Older Adulthood.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Editorial: Neuroimaging of the aging brain.Frontiers in neuroimaging · 2025
    Article
  19. Article
  20. Article
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

21 authors at 11 institutions in 5 countries.

Roni SettonMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Laetitia Mwilambwe-TshiloboMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Manesh GirnMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Amber W LockrowMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Giulia BaracchiniMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Colleen HughesMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Alexander J LoweInstitute of Neurology, University College London, London, UK.
Benjamin N CassidyDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Jian LiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Wen-Ming LuhNational Institutes of Health, National Institute on Aging, Baltimore, MD, USA.
Danilo BzdokMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Richard M LeahyDepartment of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA.
Tian GePsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Daniel S MarguliesIntegrative Neuroscience and Cognition Center (UMR 8002), Centre National de la Recherche Scientifique (CNRS) and Université de Paris, Paris, France.
Bratislav MisicMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Boris C BernhardtMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
W Dale StevensDepartment of Psychology, York University, Toronto, ON, Canada.
Felipe De BrigardDepartment of Philosophy, Duke University, Durham, NC, USA.
Prantik KunduIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Gary R TurnerDepartment of Psychology, York University, Toronto, ON, Canada.ORCID 0000-0001-7232-8994
R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.ORCID 0000-0003-1530-8916
Montreal Neurological Institute and Hospital · CAYork University · CABoston University · USCentre National de la Recherche Scientifique · FRDuke University · USIcahn School of Medicine at Mount Sinai · USMassachusetts General Hospital · USNational Institutes of Health · USPsychiatry Research Trust · GBUniversity of Southern California · USUniversity of Toronto · CA

Funding

Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
3T MR scanner for imaging from mouse to humanS10RR025145 · NCRR · CORNELL UNIVERSITY · PI WANG, YI · 2009 to 2009
$2.0M
Exploring the genetic basis of AD progressionR00AG054573 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI GE, TIAN · 2020 to 2022
$732k
NCRR NIH HHS S10 RR025145NIA NIH HHS R00 AG054573NIA NIH HHS R01 AG068563NIH HHS 1S10RR025145NINDS NIH HHS R01 NS074980
6 · The paper itself

Abstract

The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation of distributed brain systems, to network-specific patterns of dedifferentiation. Whether dedifferentiation reflects an inevitable, global shift in brain function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy to interrogate dedifferentiation at multiple spatial scales. Multi-echo (ME) resting-state fMRI was collected in younger (n = 181) and older (n = 120) healthy adults. Cortical parcellation sensitive to individual variation was implemented for precision functional mapping of each participant while preserving group-level parcel and network labels. ME-fMRI processing and gradient mapping identified global and macroscale network differences. Multivariate functional connectivity methods tested for microscale, edge-level differences. Older adults had lower BOLD signal dimensionality, consistent with global network dedifferentiation. Gradients were largely age-invariant. Edge-level analyses revealed discrete, network-specific dedifferentiation patterns in older adults. Visual and somatosensory regions were more integrated within the functional connectome; default and frontoparietal control network regions showed greater connectivity; and the dorsal attention network was more integrated with heteromodal regions. These findings highlight the importance of multiscale, multimethod approaches to characterize the architecture of functional brain aging.

Indexed as

BrainConnectomeAgedAgingBrain MappingHumansMagnetic Resonance ImagingNerve NetUncertaintyconnectivitygradientsmulti-echo fMRInetwork neuroscienceparcellation

Identifiers

PMID35231927
PMCPMC9758585
OpenAlexW4210329175

What OpenQuestion holds

Textmetadata
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.