Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis∗

Na Luo, Lin Tian, Vince Daniel Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Schizophrenia (SZ) is a highly heritable disease exhibiting substantial structural and functional brain impairments. The duration of illness and medication use may cause different presentations of impairments in patients. To understand the progressive variations of the disease, most recent studies have reported brain functional or structural abnormalities associated with illness duration, but a comprehensive study of pathology underlying brain structure, function and illness duration is still limited. In this work, we employed a three-way parallel independent component analysis (pICA) algorithm to jointly analyze grey matter volume(GM), functional connectivity (FC) and single nucleotide polymorphisms (SNPs) from drug-naïve first-episode [FESZ], chronic schizophrenia [CSZ]) and healthy controls[HC], aiming to identify the linked alterations in SNP-GM-FC components, and evaluate the impairment speed of imaging measures associated with SZ-susceptible genetic variants in different disease stages (FESZ and CSZ). Results demonstrated significant group differences on GM and FC in hippocampus, temporal gyrus and cerebellum between SZ and HC, which are also significantly correlated with SNPs residing in genes like GABBR2, SATB2, CACNA1C, PDE4B, involved in pathways of cell junction, synapse and neuron projection. Moreover, two-sample t-tests showed that GM volume and FC strength presented similar trends of progressive decrease with the increase of the illness duration (HC>FESZ>CSZ). Besides that genetic-related GM and FC components both showed significant associations with illness duration, FC indicates the higher impairment speed than GM, suggesting that functional connectivity may serve as a more sensitive measure to detect the disruptions in SZ at the very early stage.

Original languageEnglish (US)
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4126-4129
Number of pages4
Volume2018-July
ISBN (Electronic)9781538636466
DOIs
StatePublished - Oct 26 2018
Externally publishedYes
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: Jul 18 2018Jul 21 2018

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
CountryUnited States
CityHonolulu
Period7/18/187/21/18

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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