Fusion analysis of functional MRI data for classification of individuals based on patterns of activation

Brain Imaging and Behavior

Volumn 9, Issue 2, 2015, Pages 149-161

  Ramezani, Mahdi ^a   Abolmaesumi, Purang ^a   Marble, Kris ^c   Trang, Heather ^c   Johnsrude, Ingrid ^b,c,d  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b QUEEN S UNIVERSITY   (Canada)

^c QUEEN S UNIVERSITY   (Canada)

^d LINKÖPING UNIVERSITY   (Sweden)

Author keywords

Automatic classification; fMRI; Functional image analysis; Fusion analysis; jICA

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CLASSIFICATION ALGORITHM; COMPREHENSION; CONTRAST ENHANCEMENT; FEASIBILITY STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MALE; MIDDLE AGED; NEUROMODULATION; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPEECH PERCEPTION; SUPPORT VECTOR MACHINE; AGING; AREA UNDER THE CURVE; AUDITORY STIMULATION; BRAIN; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; YOUNG ADULT;

ACOUSTIC STIMULATION; ADULT; AGED; AGING; AREA UNDER CURVE; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NONLINEAR DYNAMICS; ROC CURVE; SPEECH PERCEPTION; SUPPORT VECTOR MACHINE; YOUNG ADULT;

EID: 84929958011     PISSN: 19317557     EISSN: 19317565     Source Type: Journal    
DOI: 10.1007/s11682-014-9292-1     Document Type: Article

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