Poster No:
513
Submission Type:
Abstract Submission
Authors:
Yong Han1, Xiujuan Wang2, Zhilu Zhou3, Xue Li4, Song Liu5, Wenqiang Li4, Luxian Lv4, Yongfeng Yang4
Institutions:
1The Second Affiliated Hospital of Xinxiang Medical University, No.388, Jianshe Middle Road, Xinxiang, XinXiang, Henan, 2The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Xinxiang, 3The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 4the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, HENAN, 5The second affiliated hospital of Xinxiang medical university, xinxiang, Xinxiang City, Henan Province
First Author:
Yong Han
The Second Affiliated Hospital of Xinxiang Medical University, No.388, Jianshe Middle Road, Xinxiang
XinXiang, Henan
Co-Author(s):
Xiujuan Wang
The Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, Xinxiang
Zhilu Zhou
The Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, Henan
Xue Li
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Song Liu
The second affiliated hospital of Xinxiang medical university
xinxiang, Xinxiang City, Henan Province
Wenqiang Li
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Luxian Lv
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Yongfeng Yang
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Introduction:
Recent research has indicated that functional network gradient changes are present in schizophrenia (SCZ). However, it is still completely unknown whether changes to the cortical morphometric similarity (MS) network gradient exist and how these changes relate to transcriptional profiles and clinical phenomenology.
Methods:
The MS network was constructed in this study, and the gradient of the network was computed in 203 patients with SCZ and 201 healthy controls who shared the same demographics in terms of age and gender. To examine irregularities in the MS network gradient, between-group comparisons were carried out, and partial least squares regression analysis was used to study the relationships between the MS network gradient-based variations in SCZ and gene expression patterns and clinical phenotype.
Results:
In contrast to healthy controls, the principal MS gradient of patients with SCZ was primarily significantly lower in sensorimotor areas, and higher in more areas. In addition, the aberrant gradient pattern was spatially linked with the genes enriched for neurobiologically significant pathways and preferential expression in various brain regions and cortical layers. Furthermore, there were strong positive connections between the principal MS network gradient and the symptomatologic score in SCZ individuals.
Conclusions:
These findings showed changes in principal MS network gradient in SCZ and offered potential molecular explanations for the structural changes underpinning SCZ.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Genetics:
Transcriptomics
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Subcortical Structures 2
Novel Imaging Acquisition Methods:
Anatomical MRI
Keywords:
Cortex
Morphometrics
Phenotype-Genotype
Schizophrenia
STRUCTURAL MRI
Other - gradient;partial least squares;Allen Human Brain Atlas
1|2Indicates the priority used for review
Provide references using author date format
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