Authors:
P. A. Meehan
1
;
P. A. Bellette
1
;
A. P. Bradley
1
;
J. E. Castner
1
;
H. J. Chenery
1
;
D. A. Copland
1
;
J. D. Varghese
1
;
T. Coyne
2
and
P. A. Silburn
3
Affiliations:
1
The University of Queensland, Australia
;
2
Neurosurgeon and St. Andrew’s War Memorial Hospital, Australia
;
3
The University of Queensland Centre for Clinical Neuroscience, Australia
Keyword(s):
non-Markovity, Deep Brain, Micro-electrode recordings, Linguistics, Synchrony, Neural networks.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
Abstract:
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 (80-200Hz). 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 (10-30Hz). Significant but less specific correlations were also found in the theta (4-10Hz) and gamma (30-80Hz) frequency bands.