Predicting the performance of motor imagery in stroke patients: Multivariate pattern analysis of functional MRI data

Neurorehabilitation and Neural Repair

Volumn 29, Issue 3, 2015, Pages 247-254

  Park, Chang Hyun ^a   Chang, Won Hyuk ^a   Lee, Minji ^b   Kwon, Gyu Hyun ^c   Kim, Laehyun ^c   Kim, Sung Tae ^a   Kim, Yun Hee ^a,b  

^a Sungkyunkwan University School of Medicine   (South Korea)

^b Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^c Korea Institute of Science and Technology   (South Korea)

Author keywords

activation pattern; functional MRI; motor imagery; stroke

Indexed keywords

ADULT; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FINGER TAPPING TEST; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; IMAGERY; MALE; MIDDLE AGED; MOTOR PERFORMANCE; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIMARY MOTOR CORTEX; BRAIN MAPPING; FINGER; HEMISPHERIC DOMINANCE; IMAGE PROCESSING; IMAGINATION; MOTOR ACTIVITY; MOTOR CORTEX; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

BRAIN MAPPING; FEMALE; FINGERS; FUNCTIONAL LATERALITY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGINATION; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MOTOR ACTIVITY; MOTOR CORTEX; MULTIVARIATE ANALYSIS; STROKE;

EID: 84922276693     PISSN: 15459683     EISSN: 15526844     Source Type: Journal    
DOI: 10.1177/1545968314543308     Document Type: Article

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