title: A new methodology for automated diagnosis of mild cognitive impairment (MCI) using magnetoencephalography (MEG).
abstract: Mild cognitive impairment (MCI) is a cognitive disorder characterized by memory impairment, greater than expected by age. A new methodology is presented to identify MCI patients during a working memory task using MEG signals. The methodology consists of four steps: In step 1, the complete ensemble empirical mode decomposition (CEEMD) is used to decompose the MEG signal into a set of adaptive sub-bands according to its contained frequency information. In step 2, a nonlinear dynamics measure based on permutation entropy (PE) analysis is employed to analyze the sub-bands and detect features to be used for MCI detection. In step 3, an analysis of variation (ANOVA) is used for feature selection. In step 4, the enhanced probabilistic neural network (EPNN) classifier is applied to the selected features to distinguish between MCI and healthy patients. The usefulness and effectiveness of the proposed methodology are validated using the sensed MEG data obtained experimentally from 18 MCI and 19 control patients.
authors.affiliation: Departments of Biomedical, Civil, and Electromechanical Engineering, Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Rio, Moctezuma 249, Col. San Cayetano, 76807 San Juan del Rio, Queretaro, Mexico.
authors.forename: Juan P
authors.initials: JP
authors.lastname: Amezquita-Sanchez
authors.affiliation: Department of Neurology, The Ohio State University, Columbus, OH 43210, USA.
authors.forename: Anahita
authors.initials: A
authors.lastname: Adeli
authors.affiliation: Departments of Biomedical Engineering, Biomedical Informatics, Civil, Environmental, and Geodetic Engineering, Electrical and Computer Engineering, Neurology, and Neuroscience, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210, USA. Electronic address: adeli.1@osu.edu.
authors.forename: Hojjat
authors.initials: H
authors.lastname: Adeli
mesh_terms: D000704:Analysis of Variance; D060825:Cognitive Dysfunction / Q000175:diagnosis*; D004569:Electroencephalography; D001330:Electronic Data Processing / Q000379:methods*; D019277:Entropy; D005071:Evoked Potentials / Q000502:physiology*; D005260:Female; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D009483:Neuropsychological Tests; D015203:Reproducibility of Results; D058067:Wavelet Analysis
keywords: CEEMD; EPNN; Magneto encephalography; Mild cognitive impairment; Permutation entropy; Working memory