Polygenic effects on brain functional endophenotype for deficit and non-deficit schizophrenia
Jin Fang1, Yiding Lv1, Yingying Xie2
1Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
This study found lower polygenic risk scores for schizophrenia (PRS-SCZ) in deficit schizophrenia (DS) compared to other groups. These genetic scores correlated with specific brain functional alterations, offering new insights into schizophrenia pathogenesis.
Area of Science:
- Neuroscience
- Psychiatry
- Genetics
Background:
- Deficit schizophrenia (DS) is a subtype of schizophrenia (SCZ).
- The polygenic effects on neuroimaging alterations in DS remain largely unknown.
- Understanding genetic contributions to brain function in DS is crucial for elucidating its pathogenesis.
Purpose of the Study:
- To calculate polygenic risk scores for schizophrenia (PRS-SCZ) in DS patients.
- To explore associations between PRS-SCZ and functional brain features in DS.
- To investigate differential polygenic effects on neuroimaging in DS versus non-deficit schizophrenia (NDS).
Main Methods:
- Calculated PRS-SCZ using Whole Exome sequencing and GWAS data.
- Acquired resting-state fMRI, biochemical, and neurocognitive data from DS, NDS, and healthy controls (HC).
- Analyzed amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC); performed correlation analyses.
Main Results:
- PRS-SCZ was significantly lower in DS compared to NDS and HC.
- DS exhibited increased ALFF in left inferior temporal and frontal gyri, decreased ALFF in right precuneus, and decreased ReHo in the right middle frontal gyrus compared to NDS.
- Widespread functional connectivity changes were observed in DS, particularly within the default mode network, and correlated with PRS-SCZ.
Conclusions:
- Demonstrated differential polygenic effects on brain functional changes in DS.
- Identified specific neuroimaging-genetic associations relevant to DS.
- Provided a potential neuroimaging-genetic perspective for understanding schizophrenia pathogenesis.
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