title: Assessing the effects of cocaine dependence and pathological gambling using group-wise sparse representation of natural stimulus FMRI data.
abstract: Assessing functional brain activation patterns in neuropsychiatric disorders such as cocaine dependence (CD) or pathological gambling (PG) under naturalistic stimuli has received rising interest in recent years. In this paper, we propose and apply a novel group-wise sparse representation framework to assess differences in neural responses to naturalistic stimuli across multiple groups of participants (healthy control, cocaine dependence, pathological gambling). Specifically, natural stimulus fMRI (N-fMRI) signals from all three groups of subjects are aggregated into a big data matrix, which is then decomposed into a common signal basis dictionary and associated weight coefficient matrices via an effective online dictionary learning and sparse coding method. The coefficient matrices associated with each common dictionary atom are statistically assessed for each group separately. With the inter-group comparisons based on the group-wise correspondence established by the common dictionary, our experimental results demonstrated that the group-wise sparse coding and representation strategy can effectively and specifically detect brain networks/regions affected by different pathological conditions of the brain under naturalistic stimuli.
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Yudan
authors.initials: Y
authors.lastname: Ren
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Fang
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.|Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA.
authors.forename: Jinglei
authors.initials: J
authors.lastname: Lv
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Xintao
authors.initials: X
authors.lastname: Hu
authors.affiliation: QIMR Berghofer Medical Research Institute, Brisbane, Australia.
authors.forename: Cong Christine
authors.initials: CC
authors.lastname: Guo
authors.affiliation: School of Automation, Northwestern Polytechnical University, Xi'an, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Guo
authors.affiliation: Department of Psychiatry, Yale University, New Haven, CT, USA.
authors.forename: Jiansong
authors.initials: J
authors.lastname: Xu
authors.affiliation: Department of Psychiatry, Yale University, New Haven, CT, USA. marc.potenza@yale.edu.
authors.forename: Marc N
authors.initials: MN
authors.lastname: Potenza
authors.affiliation: Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA. tliu@cs.uga.edu.
authors.forename: Tianming
authors.initials: T
authors.lastname: Liu
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods; D019970:Cocaine-Related Disorders / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D004644:Emotions / Q000502:physiology; D005260:Female; D005715:Gambling / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D014796:Visual Perception / Q000502:physiology
keywords: Cocaine dependence; Functional brain networks; Group-wise sparse representation; Naturalistic stimuli; Pathological gambling