A comparison of three brain atlases for MCI prediction

Journal of Neuroscience Methods

Volumn 221, Issue , 2014, Pages 139-150

  Ota, Kenichi ^a   Oishi, Naoya ^a   Ito, Kengo ^b   Fukuyama, Hidenao ^a  

^a KYOTO UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^b NATIONAL CENTER FOR GERIATRICS AND GERONTOLOGY   (Japan)

Author keywords

Alzheimer's disease (AD); Atlas based parcellation; Magnetic resonance imaging (MRI); Mild cognitive impairment (MCI); Support vector machine (SVM); Voxel based morphometry (VBM)

Indexed keywords

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; GRAY MATTER; HIPPOCAMPUS; HUMAN; MALE; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VOXEL BASED MORPHOMETRY;

ALZHEIMER'S DISEASE (AD); ATLAS-BASED PARCELLATION; MAGNETIC RESONANCE IMAGING (MRI); MILD COGNITIVE IMPAIRMENT (MCI); SUPPORT VECTOR MACHINE (SVM); VOXEL-BASED MORPHOMETRY (VBM);

AGED; ANATOMY, ARTISTIC; ATLASES AS TOPIC; BRAIN; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MILD COGNITIVE IMPAIRMENT; SUPPORT VECTOR MACHINES;

EID: 84886826442     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.10.003     Document Type: Article

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