Evidence map›Paper›PMID 41889066›Full record

ArticleHuman brain mapping2026

Effects of Age on Resting-State Cortical Networks.

Chetan Gohil, Oliver Kohl, Jemma Pitt, Mats W J van Es, Andrew J Quinn, Diego Vidaurre, Martin R Turner, Anna C Nobre, Mark W Woolrich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Chetan GohilOxford Centre for Human Brain Activity, Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-0888-1207
Oliver KohlOxford Centre for Human Brain Activity, Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Jemma PittOxford Centre for Human Brain Activity, Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Mats W J van EsOxford Centre for Human Brain Activity, Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Andrew J QuinnCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.
Diego VidaurreOxford Centre for Human Brain Activity, Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Martin R TurnerNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-0267-3180
Anna C NobreWu Tsai Institute, Yale University, Haven, Connecticut, USA.
Mark W WoolrichOxford Centre for Human Brain Activity, Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.

Funding

Dementia Platform UK RG89702Dementia Platform UK RG94383ERC Starting Grant ERC-StG-2019-850404European Commission through the "European School of Network Neuroscience (euSNN) MSCA-ITN ETN H2020-ID 860563Independent Research Fund of Denmark 2034-00054BJames S. McDonnell Foundation 220020448Medical Research Council (MRC)Motor Neurone Disease AssociationNIHR Oxford Health Biomedical Research Centre NIHR203316Novo Nordisk Foundation Emerging Investigator Fellowship NNF19OC-0054895Wellcome Trust 104571/Z/14/ZWellcome Trust 106183/Z/14/ZWellcome Trust 203139/Z/16/ZWellcome Trust 215573/Z/19/Z
6 · The paper itself

Abstract

Understanding how ageing affects brain function remains a central challenge in neuroscience. Electrophysiological brain imaging techniques provide a near-direct measure of neuronal activity, which is useful for characterising neurophysiological health. They offer us the ability to track large-scale networks of functional activity with high temporal precision. The effects of healthy ageing on these networks remain poorly understood, in part due to small sample sizes and limited control for confounding factors in previous studies. Here, we analysed resting-state source-reconstructed magnetoencephalography (MEG) data from a large cross-sectional cohort of healthy adults (

Indexed as

AgingBrain WavesCerebral CortexConnectomeMagnetoencephalographyNerve NetAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedYoung AdultageingdynamicsHMMMEGnetworksoscillations

Identifiers

PMID41889066
PMCPMC13081697

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.