Study Protocol: Global Research Initiative on the Neurophysiology of Schizophrenia (GRINS) project.

Humans Schizophrenia / physiopathology Electroencephalography / methods Sleep / physiology Research Design Neurophysiology / methods Adult Male Female Biomarkers Cohort Studies

Biomarkers Bipolar disorder Brain dynamics Event-related potential Neurophysiological mechanism Psychiatric disorders Schizophrenia Sleep EEG

Journal

BMC psychiatry

ISSN: 1471-244X

Titre abrégé: BMC Psychiatry

Pays: England

ID NLM: 100968559

Informations de publication

Date de publication:
10 Jun 2024

Historique:

received: 25 01 2024

accepted: 31 05 2024

medline: 11 6 2024

pubmed: 11 6 2024

entrez: 10 6 2024

Statut: epublish

Résumé

Objective and quantifiable markers are crucial for developing novel therapeutics for mental disorders by 1) stratifying clinically similar patients with different underlying neurobiological deficits and 2) objectively tracking disease trajectory and treatment response. Schizophrenia is often confounded with other psychiatric disorders, especially bipolar disorder, if based on cross-sectional symptoms. Awake and sleep EEG have shown promise in identifying neurophysiological differences as biomarkers for schizophrenia. However, most previous studies, while useful, were conducted in European and American populations, had small sample sizes, and utilized varying analytic methods, limiting comprehensive analyses or generalizability to diverse human populations. Furthermore, the extent to which wake and sleep neurophysiology metrics correlate with each other and with symptom severity or cognitive impairment remains unresolved. Moreover, how these neurophysiological markers compare across psychiatric conditions is not well characterized. The utility of biomarkers in clinical trials and practice would be significantly advanced by well-powered transdiagnostic studies. The Global Research Initiative on the Neurophysiology of Schizophrenia (GRINS) project aims to address these questions through a large, multi-center cohort study involving East Asian populations. To promote transparency and reproducibility, we describe the protocol for the GRINS project. The research procedure consists of an initial screening interview followed by three subsequent sessions: an introductory interview, an evaluation visit, and an overnight neurophysiological recording session. Data from multiple domains, including demographic and clinical characteristics, behavioral performance (cognitive tasks, motor sequence tasks), and neurophysiological metrics (both awake and sleep electroencephalography), are collected by research groups specialized in each domain. Pilot results from the GRINS project demonstrate the feasibility of this study protocol and highlight the importance of such research, as well as its potential to study a broader range of patients with psychiatric conditions. Through GRINS, we are generating a valuable dataset across multiple domains to identify neurophysiological markers of schizophrenia individually and in combination. By applying this protocol to related mental disorders often confounded with each other, we can gather information that offers insight into the neurophysiological characteristics and underlying mechanisms of these severe conditions, informing objective diagnosis, stratification for clinical research, and ultimately, the development of better-targeted treatment matching in the clinic.

Sections du résumé

BACKGROUND BACKGROUND

METHODS METHODS

The research procedure consists of an initial screening interview followed by three subsequent sessions: an introductory interview, an evaluation visit, and an overnight neurophysiological recording session. Data from multiple domains, including demographic and clinical characteristics, behavioral performance (cognitive tasks, motor sequence tasks), and neurophysiological metrics (both awake and sleep electroencephalography), are collected by research groups specialized in each domain.

CONCLUSION CONCLUSIONS

Pilot results from the GRINS project demonstrate the feasibility of this study protocol and highlight the importance of such research, as well as its potential to study a broader range of patients with psychiatric conditions. Through GRINS, we are generating a valuable dataset across multiple domains to identify neurophysiological markers of schizophrenia individually and in combination. By applying this protocol to related mental disorders often confounded with each other, we can gather information that offers insight into the neurophysiological characteristics and underlying mechanisms of these severe conditions, informing objective diagnosis, stratification for clinical research, and ultimately, the development of better-targeted treatment matching in the clinic.

Identifiants

DOI: 10.1186/s12888-024-05882-1 PMID: 38858652

pubmed: 38858652

doi: 10.1186/s12888-024-05882-1

pii: 10.1186/s12888-024-05882-1

doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

Pagination

433

Investigateurs

Yifan Sun (Y)

Duxing Li (D)

Zixuan Huang (Z)

Jikang Liu (J)

Guanchen Gai (G)

Kai Zou (K)

Zhe Wang (Z)

Xiaoman Yu (X)

Limin Chen (L)

Xuezheng Gao (X)

Guoqiang Wang (G)

Wei Zhu (W)

Jess Wang (J)

Lei A Wang (LA)

Yining Wang (Y)

Hongliang Zhou (H)

Shen Li (S)

Informations de copyright

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