Aberrant brain language network in schizophrenia spectrum disorder: a systematic review of its relation to language signs beyond symptoms.

brain brain connectivity brain volume fMRI language models linguistic psychosis semantics

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2024
Historique:
received: 22 06 2023
accepted: 07 06 2024
medline: 19 7 2024
pubmed: 19 7 2024
entrez: 19 7 2024
Statut: epublish

Résumé

Language disturbances are a core feature of schizophrenia, often studied as a formal thought disorder. The neurobiology of language in schizophrenia has been addressed within the same framework, that language and thought are equivalents considering symptoms and not signs. This review aims to systematically examine published peer-reviewed studies that employed neuroimaging techniques to investigate aberrant brain-language networks in individuals with schizophrenia in relation to linguistic signs. We employed a language model for automatic data extraction. We selected our studies according to the PRISMA recommendations, and we conducted the quality assessment of the selected studies according to the STROBE guidance. We analyzed the findings from 37 studies, categorizing them based on patient characteristics, brain measures, and language task types. The inferior frontal gyrus (IFG) and superior temporal gyrus (STG) exhibited the most significant differences among these studies and paradigms. We propose guidelines for future research in this field based on our analysis. It is crucial to investigate larger networks involved in language processing, and language models with brain metrics must be integrated to enhance our understanding of the relationship between language and brain abnormalities in schizophrenia.

Sections du résumé

Background UNASSIGNED
Language disturbances are a core feature of schizophrenia, often studied as a formal thought disorder. The neurobiology of language in schizophrenia has been addressed within the same framework, that language and thought are equivalents considering symptoms and not signs. This review aims to systematically examine published peer-reviewed studies that employed neuroimaging techniques to investigate aberrant brain-language networks in individuals with schizophrenia in relation to linguistic signs.
Methods UNASSIGNED
We employed a language model for automatic data extraction. We selected our studies according to the PRISMA recommendations, and we conducted the quality assessment of the selected studies according to the STROBE guidance.
Results UNASSIGNED
We analyzed the findings from 37 studies, categorizing them based on patient characteristics, brain measures, and language task types. The inferior frontal gyrus (IFG) and superior temporal gyrus (STG) exhibited the most significant differences among these studies and paradigms.
Conclusions UNASSIGNED
We propose guidelines for future research in this field based on our analysis. It is crucial to investigate larger networks involved in language processing, and language models with brain metrics must be integrated to enhance our understanding of the relationship between language and brain abnormalities in schizophrenia.

Identifiants

pubmed: 39026525
doi: 10.3389/fpsyt.2024.1244694
pmc: PMC11254709
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Pagination

1244694

Informations de copyright

Copyright © 2024 Alonso-Sanchez, Z-Rivera, Otero, Portal, Cavieres and Alfaro-Faccio.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

María F Alonso-Sanchez (MF)

Escuela de Fonoaudiología, Centro de Investigación del Desarrollo en Cognición y Lenguaje (CIDCL), Facultad de Medicina, Universidad de Valparaíso, Viña del Mar, Chile.

Lucía Z-Rivera (L)

Advanced Center for Electrical and Electronic Engineering (AC3E), Universidad Técnica Federico Santa María, Valparaíso, Chile.

Mónica Otero (M)

Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Santiago de Chile, Chile.
Centro BASAL Ciencia & Vida, Universidad San Sebastián, Santiago de Chile, Chile.

Jorge Portal (J)

Advanced Center for Electrical and Electronic Engineering (AC3E), Universidad Técnica Federico Santa María, Valparaíso, Chile.
Departamento de Electrónica, Univeridad Técnica Federico Santa María (USM), Valparaíso, Chile.

Álvaro Cavieres (Á)

Departamento de Psiquiatría, Escuela de Medicina, Universidad de Valparaíso, Valparaíso, Chile.

Pedro Alfaro-Faccio (P)

Instituto de Literatura y Ciencias del Lenguaje, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.

Classifications MeSH