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32/100

✓ Peer-reviewed alzhub usefulness score 32 out of 100. Risk factors

Topic: Brain proteins, microglia and lab models

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.

Key findings

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.
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.

Why it matters

In 62 people with idiopathic REM sleep behavior disorder, certain alpha brain wave patterns were linked to lower scores on a cognitive test. This suggests these brain wave measures might one day help identify cognitive decline in this group, but the study only shows an association and does not test any treatment.

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Study details

Evidence strengthModerate

How this study scored 32/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (SLEEP Advances)
Journal's citation record	0 / 4	SLEEP Advances: journal h-index 22 (OpenAlex, 2026-10-29)
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	3 / 5	Rated “moderate” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	4 / 5	2025 — within 3 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	0 / 7	Cited 0 times (OpenAlex, 2026-10-10)
Citations per year	0 / 5	0.0 citations a year over 3 year(s) since 2025
Impact for its field and year	0 / 6	Cited 0.0× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	0 / 6	No other study in this library cites it
Still being cited	0 / 4	Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	1 / 4	Last-listed author Alan Jung Park: h-index 15 (OpenAlex, whole career)
Institution's track record	1 / 3	University of Amsterdam: institution h-index 1,209 (OpenAlex)
Multi-centre collaboration	2 / 3	OpenAlex lists 5 institution(s) in 3 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 41357359)
Free to read	2 / 2	Free to read
Total	32 / 100	—

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Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Angerbauer, R., Piet, M. M., Choi, K., Park, S., Jung, K., & Park, A. J. (2025). Resting state electroencephalography alpha activity predicts cognitive scores in rapid eye movement sleep behavior disorder. SLEEP Advances. https://doi.org/10.1093/sleepadvances/zpaf081

Vancouver

Angerbauer R, Piet MM, Choi K, Park S, Jung K, Park AJ. Resting state electroencephalography alpha activity predicts cognitive scores in rapid eye movement sleep behavior disorder. SLEEP Advances. 2025. doi:10.1093/sleepadvances/zpaf081. PMID: 41357359.

BibTeX

@article{angerbauer2025-41357359,
  author  = {Angerbauer, Raphael and Piet, M. Martijn and Choi, Kang‐Min and Park, Sangwan and Jung, Ki‐Young and Park, Alan Jung},
  title   = {{Resting state electroencephalography alpha activity predicts cognitive scores in rapid eye movement sleep behavior disorder}},
  journal = {SLEEP Advances},
  year    = {2025},
  doi     = {10.1093/sleepadvances/zpaf081},
  pmid    = {41357359},
  url     = {https://doi.org/10.1093/sleepadvances/zpaf081}
}

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