Resting-state whole-brain functional connectivity networks for MCI classification using L2-regularized logistic regression

IEEE Transactions on Nanobioscience

Volumn 14, Issue 2, 2015, Pages 237-247

  Zhang, Xiaowei ^a   Hu, Bin ^a,b   Ma, Xu ^a   Xu, Linxin ^a  

^a LANZHOU UNIVERSITY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Alzheimer dementia; functional connectivity network; logistic regression; mild cognitive impairment

Indexed keywords

CORRELATION METHODS; DIAGNOSIS; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; REGRESSION ANALYSIS; STATISTICAL METHODS;

ALZHEIMER DEMENTIA; FUNCTIONAL CONNECTIVITY NETWORKS; LOGISTIC REGRESSIONS; MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI); PEARSON'S CORRELATION COEFFICIENTS; RECEIVER OPERATING CHARACTERISTIC CURVES; RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING;

FUNCTIONAL NEUROIMAGING;

AGED; BRAIN; COMPUTER SIMULATION; CONNECTOME; FEMALE; HUMAN; MALE; MILD COGNITIVE IMPAIRMENT; NERVE CELL NETWORK; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS; REPRODUCIBILITY; REST; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VERY ELDERLY;

AGED; AGED, 80 AND OVER; BRAIN; COMPUTER SIMULATION; CONNECTOME; FEMALE; HUMANS; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; MALE; MILD COGNITIVE IMPAIRMENT; NERVE NET; NEURAL PATHWAYS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY;

EID: 84927624048     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2015.2403274     Document Type: Article

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