Motion P3 demonstrates neural nature of motion ERPs.

Hugh Nolan, John S. Butler, Robert Whelan, John J. Foxe, Heinrich Bulthoff, Richard B. Reilly

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The technical challenges of recording electroencephalographic (EEG) data during motion are considerable, but would enable the possibility of investigating neural function associated with balance, motor function and motion perception. The challenges include finding a reliable method of motion stimulus reproduction, removing artifacts, and ensuring that the recordings retain sufficient EEG signal for proper interpretation. This study details the use of the P3 waveform to validate the concept of motion-based EEG data, and discusses some potential future uses in experimental and clinical settings.

Original languageEnglish
Pages (from-to)3884-3887
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume2011
Publication statusPublished - 2011 Dec 1

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Enterprise resource planning
Data recording
Motion Perception
Artifacts
Reproduction

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Motion P3 demonstrates neural nature of motion ERPs. / Nolan, Hugh; Butler, John S.; Whelan, Robert; Foxe, John J.; Bulthoff, Heinrich; Reilly, Richard B.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2011, 01.12.2011, p. 3884-3887.

Research output: Contribution to journalArticle

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