Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators.
The expansion of frontiers in neural engineering is dependent on the ability to track, detect and predict dynamics in neural tissue. Recent innovations to elucidate information from electrical recordings of brain dynamics, such as epileptic seizure prediction, have involved switching to an active probing paradigm using electrically evoked recordings rather than traditional passive measurements. This paper positions the advantage of probing in terms of information extraction, by using a coupled oscillator Kuramoto model to represent brain dynamics. While active probing performs better at observing underlying system synchrony in Kuramoto networks, especially in non-Gaussian measurement environments, the benefits diminish with increasing relative size of electrode spatial resolution compared to synchrony area. This suggests probing will be useful for improved characterization of synchrony for suitably dense electrode recordings.
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
Elma
E
O'Sullivan-Greene
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.|† Brain & Psychological Sciences Research Centre, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Levin
L
Kuhlmann
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.|‡ Department of Medicine, The University of Melbourne, Parkville, VIC 3010, Australia.|§ St. Vincent's Hospital Melbourne, Fitzroy, VIC 3065, Australia.
Ewan S
ES
Nurse
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.|‡ Department of Medicine, The University of Melbourne, Parkville, VIC 3010, Australia.|§ St. Vincent's Hospital Melbourne, Fitzroy, VIC 3065, Australia.
Dean R
DR
Freestone
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
David B
DB
Grayden
‡ Department of Medicine, The University of Melbourne, Parkville, VIC 3010, Australia.|§ St. Vincent's Hospital Melbourne, Fitzroy, VIC 3065, Australia.
Mark
M
Cook
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
Anthony
A
Burkitt
* Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
Iven
I
Mareels
D001921:Brain / Q000502:physiology* / Q000503:physiopathology; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology; D006801:Humans; D008959:Models, Neurological; D010507:Periodicity; D012640:Seizures / Q000175:diagnosis / Q000503:physiopathology
Epileptic seizure prediction; Kuramoto model; brain network observability; neural synchrony