Prediction of Alzheimer's disease using individual structural connectivity networks

Neurobiology of Aging

Volumn 33, Issue 12, 2012, Pages 2756-2765

  Shao, Junming ^a,b   Myers, Nicholas ^a,c   Yang, Qinli ^d   Feng, Jing ^b   Plant, Claudia ^a,b   Böhm, Christian ^b   Förstl, Hans ^a   Kurz, Alexander ^a   Zimmer, Claus ^a   Meng, Chun ^a,b   Riedl, Valentin ^a   Wohlschläger, Afra ^a   Sorg, Christian ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Alzheimer's disease; Classification; Diffusion tractography; Structural connectivity

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN REGION; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; DISEASE ASSOCIATION; FEMALE; HUMAN; IMAGE DISPLAY; INSULA; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; POSTERIOR PARIETAL CORTEX; PREDICTION; PREFRONTAL CORTEX; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; WHITE MATTER;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ANISOTROPY; BRAIN; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; FEMALE; FUNCTIONAL LATERALITY; HUMANS; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NERVE FIBERS; NEURAL PATHWAYS; NEUROPSYCHOLOGICAL TESTS; PREDICTIVE VALUE OF TESTS;

EID: 84866757398     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2012.01.017     Document Type: Article

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