TY - JOUR
T1 - Probing to observe neural dynamics investigated with networked Kuramoto oscillators
AU - O'Sullivan-Greene, Elma
AU - Kuhlmann, Levin
AU - Nurse, Ewan S.
AU - Freestone, Dean R.
AU - Grayden, David B.
AU - Cook, Mark
AU - Burkitt, Anthony
AU - Mareels, Iven
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - brain network observability
KW - Epileptic seizure prediction
KW - Kuramoto model
KW - neural synchrony
UR - http://www.scopus.com/inward/record.url?scp=84986557085&partnerID=8YFLogxK
U2 - 10.1142/S0129065716500386
DO - 10.1142/S0129065716500386
M3 - Article
C2 - 27596927
AN - SCOPUS:84986557085
VL - 27
JO - International Journal of Neural Systems
JF - International Journal of Neural Systems
SN - 0129-0657
IS - 1
M1 - 1650038
ER -