Control of phase synchronization of neuronal activity in the rat hippocampus.
Analysis of the synchronization mechanisms of neural activity is crucial to the understanding of the generation, propagation and control of epileptiform activity. Recently, phase synchronization (PS) analysis was applied to quantify the partial synchrony that exists in complex chaotic or noisy systems. In a previous study, we have shown that neural activity between two remotely located sites can be synchronized through a complete cut of the tissue by endogenous non-synaptic signals. Therefore, it should be possible to apply signals to control PS. In this study, we test the hypothesis that stimulation amplitudes below excitation level (sub-threshold) can be used to control phase synchronization of two neural signals and we investigate the underlying mechanisms. PS of neuronal activity is first analysed in two coupled Rossler neuron models. Both synchronization and desynchronization could be generated with sub-threshold sinusoidal stimulation. Phase synchronization was then studied in in vitro brain slices. Neuronal activity between two sites was modulated by the application of small sinusoidal electric fields. PS between two remote sites could be achieved by the application of two identical waveforms while phase desynchronization of two close sites was generated by the application of a stimulus at a single site. These results show that sub-threshold stimuli are able to phase synchronize or desynchronize two networks and suggest that small signals could play an important role in normal neural activity and epilepsy.
Lian
Jun
J
Neural Engineering Center, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Shuai
Jianwei
J
Durand
Dominique M
DM
D000200:Action Potentials; D000818:Animals; D001683:Biological Clocks; D003198:Computer Simulation; D003344:Cortical Synchronization / Q000379:methods; D046690:Deep Brain Stimulation / Q000379:methods*; D004569:Electroencephalography / Q000379:methods; D004827:Epilepsy / Q000503:physiopathology* / Q000628:therapy; D005246:Feedback; D006624:Hippocampus / Q000503:physiopathology*; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*; D009474:Neurons; D051381:Rats