Evidence map›Paper›PMID 40550812›Full record

ArticleTranslational psychiatry2025

Distinct oscillatory mechanisms in low and high alpha-band activities for screening and potential treatment of Schizophrenia.

Chuanliang Han, Bin Wang, Xing Peng, Meijia Li, Zhizhen Zhang, Chen Yao, Mengyu Tu, Xiaoyan Chen, Jia Zhou, Changming Wang and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Chuanliang Han *School of Biomedical Sciences and The Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong SAR, China. hanchuanliang2014@gmail.com.ORCID http://orcid.org/0000-0002-5734-4790
Bin Wang *National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Xing PengNorth China University of Technology, Tangshan, China.
Meijia LiCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0001-8893-3697
Zhizhen ZhangDepartment of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, USA.
Chen YaoDepartment of Neurosurgery, The National Key Clinic Specialty, Shenzhen Key Laboratory of Neurosurgery, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Mengyu TuZanvyl Krieger Mind-Brain Institute & Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
Xiaoyan ChenSchool of Psychology, Fujian Normal University, Fuzhou, China.
Jia ZhouNational Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-4666-8642
Changming WangBeijing Xuanwu Hospital, Capital Medical University, Beijing, China.
Xixi ZhaoNational Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China. zhaoxixi@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (ScZ) is characterized by prominent perceptual abnormalities. A deeper understanding of the neural mechanisms underlying these abnormalities is crucial for developing precise treatment strategies. Our study aimed to address the following primary questions. First, the functional role of various sub-oscillations within the alpha band remains unclear. Second, we aimed to identify biomarkers for the diagnostic purposes of ScZ. Third, the broader question of whether the diagnostic biomarker can also function as a treatment biomarker remains unknown. Resting-state EEG data from 55 ScZ patients and 61 healthy controls were analyzed to compare different sub-oscillations in the alpha band and their correlation with clinical symptoms (as measured by the general psychopathology scale). We discovered that distinct topographic patterns in low (~8 Hz) and high (~12 Hz) alpha may serve specific diagnostic and evaluative purposes respectively. Moreover, a pronounced gender bias was also observed. Low-alpha-band activity appeared to have more diagnostic relevance in females. On the other hand, the high-alpha difference was more relevant for evaluating the severity of symptoms in ScZ males. Our research has brought new insights into the neural oscillation mechanism of schizophrenia, which could substantially assist the formulating diagnosis of ScZ and the development of its treatment strategies.

Indexed as

Alpha RhythmSchizophreniaAdultBiomarkersCase-Control StudiesElectroencephalographyFemaleHumansMaleMiddle AgedSex FactorsYoung AdultBiomarkers

Identifiers

PMID40550812
PMCPMC12185684

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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.