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Volumn 101, Issue , 2014, Pages 765-777

Guiding functional connectivity estimation by structural connectivity in MEG: An application to discrimination of conditions of mild cognitive impairment

Author keywords

Diffusion tensor imaging; Graphical Lasso; Machine learning; Magnetoencephalography; Mild cognitive impairment; Multimodal neuroimaging; Multivariate sparse regression; Resting state

Indexed keywords

AGED; ARTICLE; CINGULATE GYRUS; CLASSIFIER; CONNECTOME; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; DISEASE CLASSIFICATION; ENTORHINAL CORTEX; FEMALE; FUNCTIONAL CONNECTIVITY; HUMAN; IMAGE ANALYSIS; LINGUAL GYRUS; MAGNETOENCEPHALOGRAPHY; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MIDDLE FRONTAL GYRUS; MILD COGNITIVE IMPAIRMENT; OCCIPITAL GYRUS; PARAHIPPOCAMPAL GYRUS; PARS TRIANGULARIS; SENSITIVITY AND SPECIFICITY; STRUCTURAL CONNECTIVITY; TEMPORAL GYRUS; VALIDATION PROCESS; ANATOMY AND HISTOLOGY; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION WEIGHTED IMAGING; MULTIMODAL IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

EID: 84907052246     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.08.002     Document Type: Article
Times cited : (52)

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