Assessing the effects of cocaine dependence and pathological gambling using group-wise sparse representation of natural stimulus FMRI data.
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 t...
| Publicado en: | Brain Imaging & Behavior Vol. 11; no. 4; pp. 1179 - 1192 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124638240&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124638240 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Aug2017 vid: 11 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124638240 124638240 144081933 NLM27704410 124638240 10.1007/s11682-016-9596-4 NLM27704410 124638240 ppf: 1179 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Assessing the effects of cocaine dependence and pathological gambling using group-wise sparse representation of natural stimulus FMRI data. aug: au: Ren, Yudan Fang, Jun Lv, Jinglei Hu, Xintao Guo, Cong Guo, Lei Xu, Jiansong Potenza, Marc Liu, Tianming Guo, Cong Christine Potenza, Marc N affil: School of Automation , Northwestern Polytechnical University , Xi'an China sug: subj: Substance Use Disorders Physiopathology Gambling Physiopathology Substance Use Disorders Brain Physiopathology Brain Gambling Human Visual Perception Physiology Male Magnetic Resonance Imaging Emotions Female Brain Mapping Methods Validation Studies Comparative Studies Evaluation Research Multicenter Studies Clinical Assessment Tools Male Female ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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