Spatio-Temporal EEG Pattern Extraction Using High-Density Scalp Arrays

Jeffery Jonathan Davis, Robert Kozma, Chin-Teng Lin, Walter J. Freeman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Previous experimental studies on rabbits using electrocorticograms (ECoGs) over the cortical surface indicate spatio-temporal dynamics in the form of amplitude modulation (AM) patterns, which intermittently collapse at theta rates and give rise to rapidly propagating phase modulated (PM) patterns. The observed dynamics have been shown to be of cognitive relevance carrying useful information on the meaning of sensory information perceived by the subject. We have extended these studies to human scalp EEG measurements, which show evidence that cognitively relevant AM and PM patterns are observable by non-intrusive experimental techniques as well. The present work develops experimental techniques for studying cognitively relevant spatio-temporal neural dynamics using a high-density EEG array. Theoretical considerations indicate that the required spatial resolution to detect and categorize amplitude and phase patterns should be in the range of 3-5 mm. A prototype 1-dimensional array (MINDO-48S) has been developed, which has 48 electrodes in a flexible linear array of 5 mm spacing. The present work focuses on the extraction of broadly distributed spatio-temporal patterns, which carry cognitively relevant information. Preliminary analysis of the signal-to-noise ratio indicates that the sensitivity of the experiment allows the predicted AM patterns to be measured.
Original languageEnglish
Title of host publication2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
PublisherIEEE
Pages889-896
Number of pages8
ISBN (Print)978-1-5090-0619-9
DOIs
StatePublished - 2016

Publication series

NameIEEE International Joint Conference on Neural Networks (IJCNN)
ISSN (Print)2161-4393

Keywords

  • Scalp Electroencephalogram (EEG)
  • High-resolution array
  • Amplitude Modulation (AM)
  • Phase Modulation (PM)
  • Neurodynamics

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    Davis, J. J., Kozma, R., Lin, C-T., & Freeman, W. J. (2016). Spatio-Temporal EEG Pattern Extraction Using High-Density Scalp Arrays. In 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pp. 889-896). (IEEE International Joint Conference on Neural Networks (IJCNN)). IEEE. https://doi.org/10.1109/IJCNN.2016.7727293