Mohamad Shamas1, Pascal Benquet2, Isabelle Merlet2, Mohamad Khalil3, Wassim El Falou3, Anca Nica4, Fabrice Wendling5. 1. INSERM U1099, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France; Université de Rennes 1, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France; AZM Center-EDST, Lebanese University, El mitein Street, 1300 Tripoli, Lebanon. 2. INSERM U1099, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France; Université de Rennes 1, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France. 3. AZM Center-EDST, Lebanese University, El mitein Street, 1300 Tripoli, Lebanon; CRSI Research Center, Faculty of Engineering, Lebanese University, al-Kubba Street, 1300 Tripoli, Lebanon. 4. INSERM U1099, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France; Neurology Dpt, Functional Explorations Dpt, Epilepsy Surgery Unit, CHU Rennes 16 bd Bulgarie, 35203 Rennes Cedex 2, France. 5. INSERM U1099, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France; Université de Rennes 1, LTSI, Campus de Beaulieu, 35042 Rennes Cedex, France. Electronic address: http://perso.univ-rennes1.fr/fabrice.wendling/.
Abstract
OBJECTIVE: In this study we aim to identify the key (patho)physiological mechanisms and biophysical factors which impact the observability and spectral features of High Frequency Oscillations (HFOs). METHODS: In order to accurately replicate HFOs we developed virtual-brain/virtual-electrode simulation environment combining novel neurophysiological models of neuronal populations with biophysical models for the source/sensor relationship. Both (patho)physiological mechanisms (synaptic transmission, depolarizing GABAA effect, hyperexcitability) and physical factors (geometry of extended cortical sources, size and position of electrodes) were taken into account. Simulated HFOs were compared to real HFOs extracted from intracerebral recordings of 2 patients. RESULTS: Our results revealed that HFO pathological activity is being generated by feed-forward activation of cortical interneurons that produce fast depolarizing GABAergic post-synaptic potentials (PSPs) onto pyramidal cells. Out of phase patterns of depolarizing GABAergic PSPs explained the shape, entropy and spatiotemporal features of real human HFOs. CONCLUSIONS: The terminology "high-frequency oscillation" (HFO) might be misleading as the fast ripple component (200-600 Hz) is more likely a "high-frequency activity" (HFA), the origin of which is independent from any oscillatory process. SIGNIFICANCE: New insights regarding the origins and observability of HFOs along depth-EEG electrodes were gained in terms of spatial extent and 3D geometry of neuronal sources.
OBJECTIVE: In this study we aim to identify the key (patho)physiological mechanisms and biophysical factors which impact the observability and spectral features of High Frequency Oscillations (HFOs). METHODS: In order to accurately replicate HFOs we developed virtual-brain/virtual-electrode simulation environment combining novel neurophysiological models of neuronal populations with biophysical models for the source/sensor relationship. Both (patho)physiological mechanisms (synaptic transmission, depolarizing GABAA effect, hyperexcitability) and physical factors (geometry of extended cortical sources, size and position of electrodes) were taken into account. Simulated HFOs were compared to real HFOs extracted from intracerebral recordings of 2 patients. RESULTS: Our results revealed that HFO pathological activity is being generated by feed-forward activation of cortical interneurons that produce fast depolarizing GABAergic post-synaptic potentials (PSPs) onto pyramidal cells. Out of phase patterns of depolarizing GABAergic PSPs explained the shape, entropy and spatiotemporal features of real human HFOs. CONCLUSIONS: The terminology "high-frequency oscillation" (HFO) might be misleading as the fast ripple component (200-600 Hz) is more likely a "high-frequency activity" (HFA), the origin of which is independent from any oscillatory process. SIGNIFICANCE: New insights regarding the origins and observability of HFOs along depth-EEG electrodes were gained in terms of spatial extent and 3D geometry of neuronal sources.
Authors: Shennan A Weiss; Tomas Pastore; Iren Orosz; Daniel Rubinstein; Richard Gorniak; Zachary Waldman; Itzhak Fried; Chengyuan Wu; Ashwini Sharan; Diego Slezak; Gregory Worrell; Jerome Engel; Michael R Sperling; Richard J Staba Journal: Brain Commun Date: 2022-04-20
Authors: Jurgen Hebbink; Geertjan Huiskamp; Stephan A van Gils; Frans S S Leijten; Hil G E Meijer Journal: Eur J Neurosci Date: 2019-09-23 Impact factor: 3.386