Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques

Frontiers in Systems Neuroscience

Volumn , Issue AUG 2012, 2012, Pages

  Cheng, Wei ^a,b   Ji, Xiaoxi ^a   Zhang, Jie ^a   Feng, Jianfeng ^a,c  

^a FUDAN UNIVERSITY   (China)

^b ZHEJIANG NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

ADHD; BWAS; fALFF; Functional brain networks; Pattern classification; ReHo

Indexed keywords

ARTICLE; ATTENTION DEFICIT DISORDER; BOLD SIGNAL; BRAIN DYSFUNCTION; BRAIN NERVE CELL; BRAIN REGION; BRAIN WIDE ASSOCIATION STUDY; CHILD; CLINICAL EVALUATION; CLINICAL FEATURE; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DISEASE MARKER; FACTUAL DATABASE; FEMALE; FRACTIONAL AMPLITUDE OF LOW FREQUENCY FLUCTUATION; HUMAN; IMAGE ANALYSIS; INTEGRATION; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH; NERVE CELL NETWORK; NERVOUS SYSTEM PARAMETERS; NEUROIMAGING; PATIENT CODING; PATTERN RECOGNITION; REGIONAL HOMOGENEITY; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; VOXEL BASED MORPHOMETRY;

EID: 84865007497     PISSN: 16625137     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnsys.2012.00058     Document Type: Article

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