Evidence map›Paper›PMID 40685676›Full record

ArticleBrain and behavior2025

Mapping Genetic Associations With Functional Brain Area Alterations in Schizophrenia and Implications for Cortical Development.

Jun-Ding Zhu, Chih-Yun Chung, Shu-Fei Lin, Shih-Jen Tsai, Albert C Yang, Pei-Shan Hou

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Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jun-Ding ZhuDepartment of Occupational Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0003-0718-4087
Chih-Yun ChungInstitute of Anatomy and Cell Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shu-Fei LinInstitute of Anatomy and Cell Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shih-Jen TsaiInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Albert C YangInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Pei-Shan HouInstitute of Anatomy and Cell Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Funding

National Health Research Institutes NHRI-EX112-11007NCNational Science and Technology Council 108-2320-B-010-046-MY3National Science and Technology Council 111-2314-B-A49-053-MY3National Science and Technology Council 111-2628-B-A49-012National Science and Technology Council 114-2321-B-A49-003The Brain Research Center financially supported this work, at National Yang Ming Chiao Tung University from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan 112W32101The Mt. Jade Young Scholarship Award from the Ministry of Education, Taiwan, also supported Dr. A.C.Y.Yen Tjing Ling Medical Foundation CI-110-4
6 · The paper itself

Abstract

backgroundWhile prior studies have identified regional reduction in gray matter (GM) volume in schizophrenia, it remains unclear whether these alterations are concentrated in specific brain functional areas and how they relate to genetic factors. This study aimed to identify Brodmann's areas (BAs) with affected GM volume in individuals with schizophrenia, explore associated genetic variants through a genome-wide association study (GWAS), and investigate the potential roles of these genes during cortical development.

methodsThe study recruited 194 individuals with schizophrenia and 330 healthy controls from the Taiwan Aging Mental Illness cohort. T1-weighted MRI scans were processed to assess GM volume changes, and the cerebral cortex was parcellated into BAs for detailed analysis. GWAS was conducted to identify schizophrenia-associated genetic variants, followed by functional mapping, single-cell RNA sequencing analysis of developing human cortical cells, and in situ hybridization analysis in the developing mouse neocortex.

resultsSignificant reductions in GM volume were found in specific BAs, particularly in the ventral frontal cortex, anterior temporal lobe, and cingulate cortex, with BA13, BA23, BA24, BA25, BA27, BA28, BA31, BA34, BA35, and BA38 showing the most pronounced changes. GWAS identified multiple genetic variants associated with these affected BAs. Further, single-cell RNA sequencing and in situ hybridization analyses revealed dynamic expression patterns of the schizophrenia-associated genes during cortical development, suggesting their potential roles in the structural abnormalities observed in schizophrenia.

conclusionsThe findings support the hypothesis that specific BAs are more vulnerable to GM volume reduction in schizophrenia, potentially driven by distinct genetic factors.

Indexed as

Cerebral CortexSchizophreniaAdultAgedAnimalsBrain MappingFemaleGenome-Wide Association StudyGray MatterHumansMagnetic Resonance ImagingMaleMiceMiddle AgedPolymorphism, Single NucleotideTaiwanBrodmann's areacortical developmentgenome‐wide association studygray matter volumeSchizophrenia

Identifiers

PMID40685676
PMCPMC12277548

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