Evidence map›Paper›PMID 40991078›Full record

SynthesisBrain structure & function2025

The neurophysiology of healthy and pathological aging: a comprehensive systematic review.

Gemma Fernández-Rubio, Peter Vuust, Morten L Kringelbach, Leonardo Bonetti

Abstract readSystematic Review
In one paragraph

Synthesis in Brain structure & function, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Brain Network Dynamics of Local and Global Predictive Processing in Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
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  9. 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

4 authors.

Gemma Fernández-RubioCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University, & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark. gemmafr@clin.au.dk.
Peter VuustCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University, & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark.
Morten L KringelbachCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University, & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark.
Leonardo BonettiCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University, & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the population of older adults grows, so does the prevalence of neurocognitive disorders such as mild cognitive impairment (MCI) and dementia. While biochemical, genetic, and neuroimaging biomarkers have accelerated early detection and diagnosis, neurophysiological measures are absent from daily medical use. Electroencephalography (EEG) and magnetoencephalography (MEG) are two non-invasive techniques that measure neurophysiological signals in the brain and convey information about signal strength at different frequency bands, event-related activity, signal complexity, and temporal correlation between spatially remote brain regions. Here we conducted a pre-registered, comprehensive systematic review of 942 studies using EEG, MEG, and combined MEG and EEG to characterise the neurophysiology of healthy aging, MCI, and dementia under resting-state and task conditions. To complement our search, we also reviewed 51 past reviews in the field. Relevant features of these papers were extracted to present a detailed overview of the current state of evidence. Overall, neurophysiological measures show potential as diagnostic tools and could prove very valuable in predicting healthy and pathological aging trajectories. However, to reach this goal in clinical practice, it is crucial to adopt longitudinal designs, standardise methodologies, and identify biomarkers at the individual rather than group level.

Indexed as

AgingBrainCognitive DysfunctionDementiaHealthy AgingAgedElectroencephalographyHumansMagnetoencephalographyDementiaElectroencephalography (EEG)Healthy agingMagnetoencephalography (MEG)Mild cognitive impairment (MCI)

Identifiers

PMID40991078
PMCPMC12460461

What OpenQuestion holds

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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.