A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia

Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014

Volumn , Issue , 2014, Pages

  Gopal, Shruti ^a,b   Miller, Robyn ^b   Michael, Andrew ^a,b   Adali, Tulay ^c   Baum, Stefi A ^a   Calhoun, Vince D ^b,d  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^b MIND RESEARCH NETWORK   (United States)

^c Baltimore County   (United States)

^d MSC01 1070   (United States)

Author keywords

IVA; schizophrenia; spatial variability

Indexed keywords

BLIND SOURCE SEPARATION; DISEASES; INDEPENDENT COMPONENT ANALYSIS; PATTERN RECOGNITION; PRASEODYMIUM ALLOYS;

DEFAULT-MODE NETWORKS; INDEPENDENT VECTOR ANALYSIS; IVA; SCHIZOPHRENIA; SCHIZOPHRENIA PATIENTS; SPATIAL DIFFERENCES; SPATIAL VARIABILITY; SPATIAL VARIATIONS;

FUNCTIONAL NEUROIMAGING;

EID: 84905758016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2014.6858520     Document Type: Conference Paper

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