Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia

Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia

Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes...

Full description

Bibliographic Details
Main Authors: Cota Navin Gupta, Eduardo Castro, Srinivas Rachkonda, Theo G. M. van Erp, Steven Potkin, Judith M. Ford, Daniel Mathalon, Hyo Jong Lee, Bryon A. Mueller, Douglas N. Greve, Ole A. Andreassen, Ingrid Agartz, Andrew R. Mayer, Julia Stephen, Rex E. Jung, Juan Bustillo, Vince D. Calhoun, Jessica A. Turner
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Psychiatry
Subjects:
gray matter concentration
biclustering
independent component analysis
subtypes
positive and negative syndrome scale symptoms
group information-guided independent component analysis
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00179/full

Internet

http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00179/full

Similar Items