Evidence map›Paper›PMID 41357359›Full record

ArticleSleep advances : a journal of the Sleep Research Society2025

Resting state electroencephalography alpha activity predicts cognitive scores in rapid eye movement sleep behavior disorder.

Raphael Angerbauer, Martijn Piet, Kang-Min Choi, Si On Park, Ki-Young Jung, Alan Jung Park

Abstract read
In one paragraph

Article in Sleep advances : a journal of the Sleep Research Society, 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Raphael AngerbauerDepartment of Physiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Martijn PietDepartment of Physiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kang-Min ChoiDepartment of Neurology, Seoul National University Hospital, Seoul, Republic of Korea.
Si On ParkDepartment of Physiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ki-Young JungDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5528-9081
Alan Jung ParkDepartment of Physiology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7644-8886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is characterized by the loss of atonia during REM sleep, causing dream-enacting behavior. Although iRBD occurs without any clear signs of neurodegenerative disorders, most patients with iRBD eventually develop Parkinson's disease or dementia with Lewy bodies, typically accompanied by cognitive decline. Hence, identifying a biomarker that reflects a neurophysiological state of iRBD has therapeutic potential. Here, we show that spatially clustered alpha (8-12 Hz) oscillatory activities in the scalp can predict cognitive performance in patients with iRBD. A cohort of 62 Korean patients with iRBD underwent resting-state electroencephalography (rsEEG) recordings and participated in the Montreal Cognitive Assessment tests, a common measure for cognitive function. Spectral analysis of the rsEEG data revealed that overall power and transient bursting parameters of alpha activity negatively correlated with Montreal Cognitive Assessment test scores. These results accounted for potential confounding factors such as the spatial distribution of the electrodes, age, sex, emotional states, and medication use. This finding was specific to the alpha activity because theta (4-8 Hz) and beta (12-30 Hz) oscillatory activities were not correlated with the cognitive test scores. Thus, these results suggest that clustered resting-state alpha activity is associated with cognitive impairments in iRBD. Our findings emphasize the importance of rsEEG dynamics in cognitive assessment and highlight the potential utility of rsEEG as an early biomarker for cognitive decline in iRBD patients.

Indexed as

alpha burstalpha powerEEGiRBDMoCA

Identifiers

PMID41357359
PMCPMC12678165

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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.