Evidence map›Paper›PMID 42776387›Full record

ArticleGeroScience2026

Age-Related Changes in Spontaneous Brain Dynamics Revealed by Resting-State Magnetoencephalography.

Zhongpeng Dai, Yue Gu, Tatia M C Lee

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zhongpeng DaiLaboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, PR China.
Yue GuLaboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, PR China.
Tatia M C LeeLaboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, PR China. tmclee@hku.hk.ORCID http://orcid.org/0000-0003-3777-8134

Funding

Guangdong-hong kong joint laboratory for psychiatric disorders 2023B 1212120004
6 · The paper itself

Abstract

Spontaneous neuronal oscillations support large-scale brain communication and are sensitive to adult aging, yet how their moment-to-moment dynamics change across the adult lifespan and relate to cognition remains unclear. Here, we used resting-state magnetoencephalography (MEG) and time-delay embedded hidden Markov modelling to characterize transient oscillatory brain states in 617 healthy adults aged 18-88 years. Aging was associated with a frequency- and region-specific reorganization of spontaneous activity, characterized by increased anterior delta/theta power and reduced posterior alpha and sensorimotor beta power. At the network level, older adults showed lower fractional occupancy of a posterior state dominated by alpha activity. Within this posterior state, stronger alpha-band connectivity was modestly associated with better Addenbrooke's Cognitive Examination-Revised (ACE-R) performance, suggesting that posterior alpha coupling is related to individual differences in global cognitive performance as captured by this measure. Together, these findings reveal subtle age-related differences in spontaneous brain dynamics across the adult lifespan, including a posterior-to-anterior redistribution of state occupancy. Rather than establishing a clinical biomarker or a general marker of cognitive aging, the present results identify posterior alpha connectivity as a behaviorally relevant resting-state MEG feature that warrants further validation in longitudinal and multimodal studies.

Indexed as

Age-related differencesAlpha activityDynamicsMagnetoencephalography (MEG)Spontaneous activity

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.