Single-trial based independent component analysis on mismatch negativity in children

Int J Neural Syst. 2010 Aug;20(4):279-92. doi: 10.1142/S0129065710002413.

Abstract

Independent component analysis (ICA) does not follow the superposition rule. This motivates us to study a negative event-related potential - mismatch negativity (MMN) estimated by the single-trial based ICA (sICA) and averaged trace based ICA (aICA), respectively. To sICA, an optimal digital filter (ODF) was used to remove low-frequency noise. As a result, this study demonstrates that the performance of the sICA+ODF and aICA could be different. Moreover, MMN under sICA+ODF fits better with the theoretical expectation, i.e., larger deviant elicits larger MMN peak amplitude.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustic Stimulation
  • Adolescent
  • Algorithms
  • Attention Deficit Disorder with Hyperactivity / physiopathology
  • Child
  • Electroencephalography
  • Evoked Potentials / physiology*
  • Evoked Potentials, Auditory / physiology*
  • Humans
  • Learning Disabilities / physiopathology