Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array

Fengyu Cong, Anh Huy Phan, Qibin Zhao, Tiina Huttunen-Scott, Jukka Kaartinen, Tapani Ristaniemi, Heikki Lyytinen, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

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.

Original languageEnglish
Article number1250025
JournalInternational Journal of Neural Systems
Volume22
Issue number6
DOIs
Publication statusPublished - Dec 2012
Externally publishedYes

Keywords

  • EEG
  • event-related potential
  • mismatch negativity
  • multi-domain feature
  • non-negative tensor factorization

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