Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups

Sai Ma, Tom Eichele, Nicolle M. Correa, Vince D. Calhoun, Tulay Adali

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

Abstract

Understanding the changes or disruption in the connectivity among brain networks is important for identifying potential biological markers for neuropsychiatric diseases. Multivariate and data-driven methods, especially independent component analysis (ICA), have proven to be a powerful tool in this field. Here, we introduce a novel analysis scheme that incorporates hierarchical and graphical techniques to study the connectivity differences between healthy controls and schizophrenia patients, using the spatial dependence among ICA components as an index of network connectivity. We find that compared to healthy controls, the schizophrenic group presents an altered hierarchy with a number of unusual connections and a significantly decreased small-world index, suggesting disease-related changes in the organization of brain connectivity.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages1031-1034
Number of pages4
DOIs
StatePublished - Nov 2 2011
Externally publishedYes
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

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

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period3/30/114/2/11

Keywords

  • fMRI
  • graph theory
  • hierarchical clustering
  • independent component analysis
  • network connectivity
  • schizophrenia
  • spatial dependence

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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