Differential diagnosis tool for parkinsonian syndrome using multiple structural brain measures

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Ota, Miho ^a   Nakata, Yasuhiro ^b   Ito, Kimiteru ^b   Kamiya, Kouhei ^b   Ogawa, Masafumi ^b   Murata, Miho ^b   Obu, Satoko ^a   Kunugi, Hiroshi ^a   Sato, Noriko ^b  

^a NATIONAL INSTITUTE OF NEUROSCIENCE   (Japan)

^b National Center of Neurology and Psychiatry   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; DISCRIMINANT ANALYSIS; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; TENSORS;

CLASSIFICATION RATES; DIFFERENTIAL DIAGNOSIS; DISCRIMINANT FUNCTIONS; INDEPENDENT VARIABLES; MULTIPLE SYSTEM ATROPHIES; PARKINSON'S DISEASE; STRUCTURAL DEVIATIONS; VOXEL-BASED MORPHOMETRY;

DIAGNOSIS;

ADULT; ARTICLE; BRAIN FOURTH VENTRICLE; BRAIN SIZE; CEREBELLUM; CLINICAL ARTICLE; CLINICAL EVALUATION; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DIFFUSION TENSOR IMAGING; DISCRIMINANT ANALYSIS; DISEASE DURATION; FEMALE; FRACTIONAL ANISOTROPY; GRAY MATTER; HUMAN; MALE; MIDDLE CEREBELLAR PEDUNCLE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PARKINSON VARIANT CEREBELLAR SUBTYPE; PARKINSON VARIANT OF MULTIPLE SYSTEM ATROPHY; PARKINSONISM; PONS; PREFRONTAL CORTEX; PRIMARY MOTOR CORTEX; SHY DRAGER SYNDROME; SUBSTANTIA NIGRA; SUPERIOR CEREBELLAR PEDUNCLE; TEMPORAL LOBE; VOXEL BASED MORPHOMETRY; AGED; BRAIN; CASE CONTROL STUDY; COMPUTER ASSISTED DIAGNOSIS; IMAGE PROCESSING; METHODOLOGY; MIDDLE AGED; PARKINSON DISEASE; PATHOLOGY; STATISTICAL MODEL;

AGED; BRAIN; CASE-CONTROL STUDIES; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL; MULTIPLE SYSTEM ATROPHY; PARKINSON DISEASE; PARKINSONIAN DISORDERS;

EID: 84876522550     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/571289     Document Type: Article

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