Investigation of the non-markovity spectrum as a cognitive processing measure of deep brain microelectrode recordings

Meehan, Paul A., Bellette, Paul, Bradley, Andrew P., Castner, Joanna E., Chenery, Helen J., Copland, David A., John Varghese, Coyne, T. and Peter Silburn (2011). Investigation of the non-markovity spectrum as a cognitive processing measure of deep brain microelectrode recordings. In: F. Babiloni, A. Fred, J. Filipe and H. Gamboa, Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing. BIOSIGNALS 2011 - 4th International Conference on Bio-Inspired Systems and Signal Processing, Rome, Italy, (144-150). 26-29 January 2011.

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Author Meehan, Paul A.
Bellette, Paul
Bradley, Andrew P.
Castner, Joanna E.
Chenery, Helen J.
Copland, David A.
John Varghese
Coyne, T.
Peter Silburn
Title of paper Investigation of the non-markovity spectrum as a cognitive processing measure of deep brain microelectrode recordings
Conference name BIOSIGNALS 2011 - 4th International Conference on Bio-Inspired Systems and Signal Processing
Conference location Rome, Italy
Conference dates 26-29 January 2011
Proceedings title Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Journal name Biosignals 2011
Place of Publication Portugal
Publisher SciTePress
Publication Year 2011
Sub-type Fully published paper
Open Access Status File (Author Post-print)
ISBN 9789898425355
Editor F. Babiloni
A. Fred
J. Filipe
H. Gamboa
Start page 144
End page 150
Total pages 7
Collection year 2012
Language eng
Abstract/Summary Previous research has shown that changes in complexity-based measures of deep brain (DB) microelectrode recordings (MER) from conscious human patients, show correlations with different linguistic tasks. These statistical mechanics based measures are further expanded in this research to look at the spectra of an adapted non-Markovity parameter in different frequency ranges as a measure of synchronous neuronal networked behaviour. Results presented show statistically significant interaction between hemisphere of recording, epoch of brain function and semantic category in the fast frequency range (S0-200Hz). Processing of similar semantic words appeared to be associated with increased synchrony in the left hand hemisphere. Evidence for substantial left and right hemispherical interactions was found. Similar, but less important trends were found in the beta band (I 0-30Hz). Significant but less specific correlations were also found in the theta (4-lOHz) and gamma (30-80Hz) frequency bands.
Keyword Non-Markovity
Deep brain
Microelectrode recordings
Linguistics
Synchrony
Neural networks
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collections: School of Mechanical & Mining Engineering Publications
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Created: Tue, 22 Mar 2011, 16:56:59 EST by Rose Clements on behalf of School of Mechanical and Mining Engineering