Dimensionality reduced cortical features and their use in the classification of Alzheimer's disease and mild cognitive impairment

Neuroscience Letters

Volumn 529, Issue 2, 2012, Pages 123-127

  Park, Hyunjin ^a   Yang, Jin Ju ^b   Seo, Jongbum ^c   Lee, Jong Min ^b  

^a Sungkyunkwan University   (South Korea)

^b Hanyang University   (South Korea)

^c Yonsei University   (South Korea)

Author keywords

Alzheimer's disease; Cortical feature; Cortical thickness; Manifold learning; Sulcal depth; Support vector machine

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN CORTEX; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; FEMALE; GRAY MATTER; HUMAN; IMAGE PROCESSING; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; THICKNESS; VALIDATION STUDY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ATROPHY; CEREBRAL CORTEX; COGNITION DISORDERS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS;

EID: 84868000111     PISSN: 03043940     EISSN: 18727972     Source Type: Journal    
DOI: 10.1016/j.neulet.2012.09.011     Document Type: Article

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