title: Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array.
abstract: Through exploiting temporal, spectral, time-frequency representations, and spatial properties of mismatch negativity (MMN) simultaneously, this study extracts a multi-domain feature of MMN mainly using non-negative tensor factorization. In our experiment, the peak amplitude of MMN between children with reading disability and children with attention deficit was not significantly different, whereas the new feature of MMN significantly discriminated the two groups of children. This is because the feature was derived from multi-domain information with significant reduction of the heterogeneous effect of datasets.
authors.affiliation: Department of Mathematical Information Technology, University of Jyväskylä, Finland. fengyu.cong@jyu.fi
authors.forename: Fengyu
authors.initials: F
authors.lastname: Cong
authors.forename: Anh Huy
authors.initials: AH
authors.lastname: Phan
authors.forename: Qibin
authors.initials: Q
authors.lastname: Zhao
authors.forename: Tiina
authors.initials: T
authors.lastname: Huttunen-Scott
authors.forename: Jukka
authors.initials: J
authors.lastname: Kaartinen
authors.forename: Tapani
authors.initials: T
authors.lastname: Ristaniemi
authors.forename: Heikki
authors.initials: H
authors.lastname: Lyytinen
authors.forename: Andrzej
authors.initials: A
authors.lastname: Cichocki
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods / Q000523:psychology; D000293:Adolescent; D001289:Attention Deficit Disorder with Hyperactivity / Q000503:physiopathology*; D001307:Auditory Perception / Q000502:physiology; D058256:Brain Waves / Q000502:physiology*; D016022:Case-Control Studies; D002648:Child; D003265:Contingent Negative Variation / Q000502:physiology*; D004410:Dyslexia / Q000503:physiopathology*; D004569:Electroencephalography / Q000379:methods / Q000523:psychology* / Q000706:statistics & numerical data; D005072:Evoked Potentials, Auditory / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical