Evidence map›Paper›PMID 40932579›Full record

ArticleGeroScience2026

Effects of age and musical training on resting-state periodic oscillatory brain activity.

Sijia Guo, Ning Li, Liju Wang, Chenxi Qiu, Yuxin Chen, Yitian Yin, Hua Yang, Claude Alain, Jing Lu, Dezhong Yao

Abstract read
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

10 authors.

Sijia GuoThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Ning LiThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Liju WangThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Chenxi QiuThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Yuxin ChenThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Yitian YinThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Hua YangMusic and Digital Intelligence, Key Laboratory of Sichuan Province, Chengdu, 610021, Sichuan, China.
Claude AlainBaycrest Academy for Research and Education, Rotman Research Institute, Toronto, ON, M6A 2E1, Canada.
Jing LuThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China. lujing@uestc.edu.cn.
Dezhong YaoThe Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China. dyao@uestc.edu.cn.

Funding

STI 2030-Major Projects 2022ZD0208500the Music and Digital Intelligence, Key Laboratory of Sichuan Province SZ2023ZDXM02the National Natural Science Foundation of China U24A20274the Research Unit of NeuroInformation, Chinese Academy of Medical Sciences 2019RU035 M112019-I2M-5-039-1the Sichuan Science and Technology Program 2021YFS0135
6 · The paper itself

Abstract

Neural oscillations comprise periodic and aperiodic components, which have been linked to cognitive functions. Changes in oscillatory activity as a function of age and musical training may related to cognitive decline and the protective effects of lifelong musical training. However, there are inconsistencies in prior studies assessing the changes in alpha oscillations with age and musical training experience, which did not consider the putative impact of the aperiodic activity. In this study, we recruited young and older musicians and non-musicians, comparing resting state alpha oscillations before and after correcting for aperiodic activity. We observed an age-related decline in alpha power in uncorrected and corrected periodic activities. Nonetheless, the protective effect of musical training on this decline was only evident in the corrected periodic activities, highlighting the importance of correcting for aperiodic activity. This was related to better performance in working memory tasks in older musicians compared with older non-musicians. Our findings provide mechanistic insights into how long-term musical training decelerates age-related working memory decline. It has implications for understanding the neuroplasticity of musical training on cognitive aging.

Indexed as

AgingAlpha RhythmBrainCognitive AgingMusicAdultAgedAge FactorsCognitionElectroencephalographyFemaleHumansMaleMemory, Short-TermMiddle AgedYoung AdultAlpha oscillationsAperiodic activityCognitive agingEEGMusical training

Identifiers

PMID40932579
PMCPMC13355967

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.