PMID- 31507357
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240216
IS  - 1662-4548 (Print)
IS  - 1662-453X (Electronic)
IS  - 1662-453X (Linking)
VI  - 13
DP  - 2019
TI  - Decreased Cross-Domain Mutual Information in Schizophrenia From Dynamic 
      Connectivity States.
PG  - 873
LID - 10.3389/fnins.2019.00873 [doi]
LID - 873
AB  - The study of dynamic functional network connectivity (dFNC) has been important to 
      understand the healthy and diseased brain. Recent developments model groups of 
      functionally related brain structures (defined as functional domains) as entities 
      that can send and receive information. A domain analysis starts by detecting a 
      finite set of connectivity patterns known as domain states within each functional 
      domain. Dynamic functional domain connectivity (DFDC) is a novel information 
      theoretic framework for studying the temporal sequence of the domain states and 
      the amount of information shared among domains. In this setting, the information 
      flow among functional domains can be compared to the flow of bits among entities 
      in a digital network. Schizophrenia is a chronic psychiatric disorder which is 
      associated with how the brain processes information. Here, we employed the DFDC 
      framework to analyze a dataset containing resting-state fMRI scans from 163 
      healthy controls (HCs) and 151 schizophrenia patients (SZs). As in other 
      information theory methods, this study measured domain state probabilities, 
      entropy within each DFDC and the cross-domain mutual information (CDMI) between 
      pairs of DFDC. Results indicate that SZs show significantly higher (transformed) 
      entropy than HCs in subcortical (SC)-SC; default mode network (DMN)-visual (VIS) 
      and frontoparietal (FRN)-VIS DFDCs. SZs also show lower (transformed) CDMI 
      between SC-VIS vs. SC-sensorimotor (SM), attention (ATTN)-VIS vs. ATTN-SM and 
      ATTN-SM vs. ATTN-ATTN DFDC pairs after correcting for multiple comparisons. These 
      results imply that different DFDC pairs function in a more independent manner in 
      SZs compared to HCs. Our findings present evidence of higher uncertainty and 
      randomness in SZ brain function.
FAU - Salman, Mustafa S
AU  - Salman MS
AD  - School of Electrical and Computer Engineering, Georgia Institute of Technology, 
      Atlanta, GA, United States.
AD  - Tri-Institutional Center for Translational Research in Neuroimaging and Data 
      Science (TReNDS), Georgia State University, Georgia Institute of Technology and 
      Emory University, Atlanta, GA, United States.
FAU - Vergara, Victor M
AU  - Vergara VM
AD  - Tri-Institutional Center for Translational Research in Neuroimaging and Data 
      Science (TReNDS), Georgia State University, Georgia Institute of Technology and 
      Emory University, Atlanta, GA, United States.
FAU - Damaraju, Eswar
AU  - Damaraju E
AD  - Tri-Institutional Center for Translational Research in Neuroimaging and Data 
      Science (TReNDS), Georgia State University, Georgia Institute of Technology and 
      Emory University, Atlanta, GA, United States.
FAU - Calhoun, Vince D
AU  - Calhoun VD
AD  - School of Electrical and Computer Engineering, Georgia Institute of Technology, 
      Atlanta, GA, United States.
AD  - Tri-Institutional Center for Translational Research in Neuroimaging and Data 
      Science (TReNDS), Georgia State University, Georgia Institute of Technology and 
      Emory University, Atlanta, GA, United States.
LA  - eng
GR  - P20 GM103472/GM/NIGMS NIH HHS/United States
GR  - P30 GM122734/GM/NIGMS NIH HHS/United States
GR  - R01 EB020407/EB/NIBIB NIH HHS/United States
PT  - Journal Article
DEP - 20190822
PL  - Switzerland
TA  - Front Neurosci
JT  - Frontiers in neuroscience
JID - 101478481
PMC - PMC6714616
OTO - NOTNLM
OT  - ICA
OT  - fMRI
OT  - functional domain
OT  - functional network connectivity
OT  - information theory
OT  - schizophrenia
EDAT- 2019/09/12 06:00
MHDA- 2019/09/12 06:01
PMCR- 2019/01/01
CRDT- 2019/09/12 06:00
PHST- 2019/03/01 00:00 [received]
PHST- 2019/08/02 00:00 [accepted]
PHST- 2019/09/12 06:00 [entrez]
PHST- 2019/09/12 06:00 [pubmed]
PHST- 2019/09/12 06:01 [medline]
PHST- 2019/01/01 00:00 [pmc-release]
AID - 10.3389/fnins.2019.00873 [doi]
PST - epublish
SO  - Front Neurosci. 2019 Aug 22;13:873. doi: 10.3389/fnins.2019.00873. eCollection 
      2019.