Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia nigra in advanced Parkinson's disease patients using automatic segmentation and PCA-based analysis

Human Brain Mapping

Volumn 35, Issue 9, 2014, Pages 4330-4344

  Xiao, Yiming ^a   Jannin, Pierre ^b   D'Albis, Tiziano ^b   Guizard, Nicolas ^a   Haegelen, Claire ^b,c   Lalys, Florent ^b   Vérin, Marc ^d,e   Collins, D Louis ^a  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITÉ DE RENNES 1   (France)

^c PONTCHAILLOU UNIVERSITY HOSPITAL   (France)

^d RENNES UNIVERSITY HOSPITAL   (France)

^e Behavior and Basal Ganglia Unit EA 4712 University of Rennes 1   (France)

Author keywords

Atlas; Deep brain stimulation; Label fusion; Morphometric variability; Parkinson's disease; Principal component analysis; Subthalamic nucleus

Indexed keywords

AUTOMATED PATTERN RECOGNITION; BOOK; COHORT ANALYSIS; FEMALE; HUMAN; IMAGE PROCESSING; MALE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PARKINSON DISEASE; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; RED NUCLEUS; SUBSTANTIA NIGRA; SUBTHALAMIC NUCLEUS; VALIDATION STUDY;

ATLASES AS TOPIC; COHORT STUDIES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PARKINSON DISEASE; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; RED NUCLEUS; SUBSTANTIA NIGRA; SUBTHALAMIC NUCLEUS;

EID: 84904467834     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22478     Document Type: Article

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