Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders

Yuhui Du, Godfrey D. Pearlson, Hao He, Lei Wu, Jiayu Chen, Vince D. Calhoun

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

Abstract

There has been an increasing interest in brain dynamic functional networks revealed by resting-state fMRI data. We hypothesized that dynamic functional networks could offer important information for detecting subtle differences in symptom-related mental diseases. Schizophrenia (SZ), bipolar disorder (BP), and schizoaffective disorder (SAD) have similar symptoms, and there is still controversy about the SAD category. In this paper, we applied a novel method, group information guided ICA (GIG-ICA), to extract functional connectivity states and their fluctuations from dynamic functional network. Using the proposed approach, we analyzed fMRI data of healthy controls, SZ patients, BP patients and two symptom-defined subsets of SAD patients. Results demonstrate that, measured by the dominant functional connectivity state, different groups have a similar pattern, while the two subsets of SAD patients were most correlated to each other, supporting SAD's status as an independent category. The significant difference in the dominant functional connectivity state among these disorders involved cerebellum-related functional connectivity.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages478-481
Number of pages4
ISBN (Electronic)9781479923748
DOIs
StatePublished - Jul 21 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: Apr 16 2015Apr 19 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2015-July
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/TerritoryUnited States
CityBrooklyn
Period4/16/154/19/15

Keywords

  • bipolar disorder
  • brain dynamic functional network
  • independent component analysis
  • schizoaffective disorder
  • schizophrenia

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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