title: EEG-based, neural-net predictive classification of Alzheimer's disease versus control subjects is augmented by non-linear EEG measures.
abstract: Attempts to classify Alzheimer's disease (AD) subjects versus controls using spectral-band measures of electroencephalographic (EEG) data typically achieve around 80% success. This study assessed the ability of adding non-linear EEG measures and using a neural-net classification procedure to improve this performance level. The non-linear EEG measures were estimated correlation dimension ("dimensional complexity," or DCx) and saturation (degree of leveling-off of DCx with increasing embedding dimension). In a sample of 39 subjects (14 ADs, 25 controls), it was found that (a) the addition of non-linear EEG measures improved the classification accuracy of the AD/control status of subjects, and (b) a back-percolation neural net predictively classified the subjects much better than the standard linear techniques of multivariate discriminant analysis or nearest-neighbor discriminant analysis.
authors.affiliation: Biological Research Division, R&D, Bowman Gray Technical Center 611-12, R.J. Reynolds Tobacco Company, Winston-Salem, NC 27102.
authors.forename: W S
authors.initials: WS
authors.lastname: Pritchard
authors.forename: D W
authors.initials: DW
authors.lastname: Duke
authors.forename: K L
authors.initials: KL
authors.lastname: Coburn
authors.forename: N C
authors.initials: NC
authors.lastname: Moore
authors.forename: K A
authors.initials: KA
authors.lastname: Tucker
authors.forename: M W
authors.initials: MW
authors.lastname: Jann
authors.forename: R M
authors.initials: RM
authors.lastname: Hostetler
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000503:physiopathology*; D000704:Analysis of Variance; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping; D003198:Computer Simulation; D016002:Discriminant Analysis; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer