Evidence map›Paper›PMID 40741299›Full record

ArticleFrontiers in human neuroscience2025

Effects of ASMR on mental fatigue recovery revealed by EEG power and brain network analysis.

Yueguang Si, Yu Sun, Kuijun Wu, Lingyun Gao, Sujie Wang, Mengru Xu, Xuchen Qi

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yueguang SiShaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, China.
Yu SunThe State Key Laboratory for Brain-Computer Intelligence, and the Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
Kuijun WuThe Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Lingyun GaoThe School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China.
Sujie WangThe Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Mengru XuThe Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Xuchen QiThe Department of Neurosurgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mental fatigue, resulting from prolonged cognitive tasks or sleep deprivation, significantly impacts safety and performance, particularly in high-risk environments. However, effective intervention methods are limited, highlighting the urgent need for new approaches to alleviate mental fatigue. This study explores the effectiveness of Autonomous Sensory Meridian Response (ASMR) as a novel intervention for alleviating mental fatigue. Methods: A within-subject design was employed in this work, where 28 healthy young subjects (M/F = 17/11, age = 21.82 ± 0.37 years) were requested to perform a continuous 30 min sustained attention task (named No-Break session) and a 30 min task with a 4-min mid-task ASMR break (named ASMR-Break session) at a counterbalanced order. The immediate effect and general effect of ASMR were quantitatively assessed on behavioral performance and EEG characteristics. Results: Behaviorally, only significant immediate effect was revealed as showing in reduced reaction time. Further interrogation of brain dynamics showed complex patterns of spatio-spectrum alterations and an interaction in small-world metric in theta band. Specifically, the ASMR intervention prevented an increase in small-worldness, and the correlation between changes in small-worldness and reaction times diminished after the intervention. Discussion: In sum, this preliminary investigation provides insight into ASMR's neural mechanisms and suggests it may help attenuate fatigue. Further research in larger, more diverse samples will be necessary to confirm its utility for mental fatigue management in real-world settings.

Indexed as

autonomous sensory meridian response (ASMR)functional brain connectivitymental fatiguemental fatigue recoverypsychomotor vigilance task (PVT)

Identifiers

PMID40741299
PMCPMC12307496

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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.