Weak Mutual Information between Functional Domains in Schizophrenia

Mustafa S. Salman, Victor M. Vergara, Eswar Damaraju, Vince Daniel Calhoun

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

Abstract

Recently whole brain dynamic functional network connectivity (dFNC) has become an area of increasing focus in functional magnetic resonance imaging (fMRI) studies. Dynamic functional domain connectivity (dFDC) is a novel information theoretic framework which measures information flow between subsets of the whole brain dFNC. The information shared between domains can potentially shine light on brain disorders. Here we employ this framework to analyze an fMRI dataset containing 163 healthy controls (HCs) and 151 schizophrenia patients (SZs). We measured the entropy within each dFDC and the cross domain mutual information (CDMI) between pairs of dFDC. We performed linear regression on transformed entropy and CDMI to find significant group differences. Results indicate that SZs show significantly higher (transformed) entropy than HCs in subcortical (SC)-SC, default mode (DMN)-SC, cerebellar (CB)auditory (AUD), and CB-attention (ATTN) dFDC. They also demonstrate lower (transformed) CDMI than HCs between SC-visual (VIS) and SC-AUD, AUD-AUD and SC-AUD, AUD-sensorimotor (SM) and AUD-AUD, SM-ATTN and AUD-ATTN, SM-frontal (FRN) and AUD-FRN, VIS-ATTN and SM-ATTN as well as VIS-FRN and SM-FRN dFDC pairs. This implies that different dFDC pairs share lower mutual information in SZs compared to HCs. This in turn corroborates the notion that SZs demonstrate reduced connectivity dynamism in fMRI.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1362-1366
Number of pages5
ISBN (Electronic)9781538692189
DOIs
Publication statusPublished - Feb 19 2019
Externally publishedYes
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period10/28/1810/31/18

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Keywords

  • connectivity
  • domain
  • dynamic
  • entropy
  • functional network
  • information theory
  • JMRI
  • mutual information
  • schizophrenia

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Salman, M. S., Vergara, V. M., Damaraju, E., & Calhoun, V. D. (2019). Weak Mutual Information between Functional Domains in Schizophrenia. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 1362-1366). [8645233] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645233