Evidence map›Paper›PMID 39496816›Full record

ArticleScientific reports2024

Shared oscillatory mechanisms of alpha-band activity in prefrontal regions in eyes open and closed state using a portable EEG acquisition device.

Yu Zhang, Zhizhen Zhang, Fang Du, Jiayuan Song, Shaojia Huang, Jidong Mao, Weiwen Xiang, Fang Wang, Yuping Liang, Wufang Chen and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

12 authors.

Yu ZhangSchool of International Police Studies, The People's Public Security University of China, Beijing, China.
Zhizhen ZhangDepartment of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, USA.
Fang DuSchool of International Police Studies, The People's Public Security University of China, Beijing, China.
Jiayuan SongSchool of International Police Studies, The People's Public Security University of China, Beijing, China.
Shaojia HuangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.
Jidong MaoShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.
Weiwen XiangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.
Fang WangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.
Yuping LiangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.
Wufang ChenShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.
Yuchen LinThe Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. lynn1026@live.cn.
Chuanliang HanSchool of Biomedical Sciences and Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China. hanchuanliang2014@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha oscillations are associated with various psychiatric disorders, with many studies focusing on the prefrontal cortex, where transcranial alternating current stimulation (TACS) is applied in the alpha frequency band. This approach often involves selecting individualized alpha frequencies to resonate with their endogenous alpha oscillations. While strong alpha oscillations (8-13 Hz) are typically induced when the eyes are closed, they can also occur during the resting state with eyes open. However, it remains unclear whether these alpha oscillations share a common neural generation mechanism. Exploring which of these alpha oscillations is more suitable as a stable alpha peak frequency is a question of significant interest. Therefore, to systematically study this issue, we specifically collected resting-state electroencephalographic (EEG) data from the prefrontal region of 40 individuals, under both eyes-open and closed- eye conditions, with multiple follow-ups extending up to nine months. Through spectral analysis on each person's entire dataset and averaging the results, we observed a significant positive correlation between the alpha-band power in the eyes-open and the eyes-closed states, in terms of both absolute power and relative power. Further analysis revealed that this correlation was primarily contributed by the periodic activity within the alpha band. Upon modelling the oscillatory components, we discovered distinct differences in the oscillatory characteristics-such as number of the alpha sub-oscillations between the eyes-open state and the eyes-closed state. Our study is the first to systematically explored the relationship between alpha oscillations in the prefrontal cortex in the eyes-open and eyes-closed states, identifying both shared part of the neural generation mechanism and some distinct neural mechanisms that are unique to each state.

Indexed as

Alpha RhythmElectroencephalographyPrefrontal CortexAdultFemaleHumansMaleTranscranial Direct Current StimulationYoung AdultAlpha oscillationEEGEye-closedEye-openPortable devicePrefrontal cortex

Identifiers

PMID39496816
PMCPMC11535223

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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.