TY - JOUR
T1 - Transitions to spike-wave oscillations and epileptic dynamics in a human cortico-thalamic mean-field model
AU - Rodrigues, S.
AU - Barton, D.
AU - Szalai, R.
AU - Benjamin, O.
AU - Richardson, M.P.
AU - Terry, J.R.
PY - 2009
Y1 - 2009
N2 - In this paper we present a detailed theoretical analysis of the onset of spike-wave activity in a model of human electroencephalogram (EEG) activity, relating this to clinical recordings from patients with absence seizures. We present a complete explanation of the transition from inter-ictal activity to spike and wave using a combination of bifurcation theory, numerical continuation and techniques for detecting the occurrence of inflection points in systems of delay differential equations (DDEs). We demonstrate that the initial transition to oscillatory behaviour occurs as a result of a Hopf bifurcation, whereas the addition of spikes arises as a result of an inflection point of the vector field. Strikingly these findings are consistent with EEG data recorded from patients with absence seizures and we present a discussion of the clinical significance of these results, suggesting potential new techniques for detection and anticipation of seizures.
AB - In this paper we present a detailed theoretical analysis of the onset of spike-wave activity in a model of human electroencephalogram (EEG) activity, relating this to clinical recordings from patients with absence seizures. We present a complete explanation of the transition from inter-ictal activity to spike and wave using a combination of bifurcation theory, numerical continuation and techniques for detecting the occurrence of inflection points in systems of delay differential equations (DDEs). We demonstrate that the initial transition to oscillatory behaviour occurs as a result of a Hopf bifurcation, whereas the addition of spikes arises as a result of an inflection point of the vector field. Strikingly these findings are consistent with EEG data recorded from patients with absence seizures and we present a discussion of the clinical significance of these results, suggesting potential new techniques for detection and anticipation of seizures.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-70350573497&partnerID=MN8TOARS
U2 - 10.1007/s10827-009-0166-2
DO - 10.1007/s10827-009-0166-2
M3 - Article
SN - 0929-5313
VL - 27
SP - 507
EP - 526
JO - Journal of Computational Neuroscience
JF - Journal of Computational Neuroscience
ER -