Point process analysis in brain networks of patients with diabetes

Neurocomputing

Volumn 145, Issue , 2014, Pages 182-189

  Li, Wei ^a,b   Li, Yapeng ^a,b   Hu, Chunhong ^c   Chen, Xi ^a,b   Dai, Hui ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c THE FIRST AFFILIATED HOSPITAL OF SOOCHOW UNIVERSITY   (China)

Author keywords

Functional brain networks; Point process; Resting state fMRI

Indexed keywords

DIAGNOSIS; MAGNETIC RESONANCE IMAGING;

BRAIN NETWORKS; DATA PREPROCESSING; DISEASE DIAGNOSTICS; FUNCTIONAL MAGNETIC RESONANCE IMAGES (FMRI); INDIVIDUAL DIFFERENCES; POINT PROCESS; RECOGNITION ACCURACY; RESTING-STATE FMRI;

FUNCTIONAL NEUROIMAGING;

ACCURACY; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BOLD SIGNAL; BRAIN FUNCTION; CLINICAL ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; DIABETES MELLITUS; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MALE; PRIORITY JOURNAL; RESTING STATE NETWORK; SUPPORT VECTOR MACHINE; VERY ELDERLY;

EID: 84906937533     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.05.045     Document Type: Article

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