Electrophysiological variability as marker of dystonia worsening under deep brain stimulation successive withdrawal and renewal effects.

DBS has been shown to be an effective intervention for neurological disorders. However, the intervention is complex and many aspects have not been understood. Various clinical situations have no solution and follow trial and error approaches. Dystonia is a movement disorder characterized by involuntary muscle contractions, which gives rise to abnormal movements and postures. Status dystonicus (SD) represents a life-threatening condition that requires urgent assessment and management. Electrophysiological markers for risk of symptom worsening and SD related patterns of evolution in patients treated with long-term deep brain stimulation (DBS), and specially under the effect of withdrawal and renewals of simulation are needed. To this end, we study the variability of neural synchronization as a mechanism for symptom generation under successive perturbations to a system, i.e. withdrawals and renewals of neuromodulation, through computational simulation of clinical profiles under different plasticity conditions. The simulation shows that the neuroplasticity makeup influences the variability of oscillation synchronization patterns in virtual "patients". The difference between the effect of different electrophysiological signatures is remarkable and under a certain condition (equal medium long term potentiation and long term depression) the situation resembles that of a stable equilibrium, putatively making the sudden worsening or change less likely. Stability of variability can only be observed in this condition and is clearly distinct from other scenarios. CONCLUSION: Our results demonstrate that the neuroplasticity makeup affects the variability of the oscillatory synchrony. This i) informs the shaping of the electrophysiological makeup and ii) might serve as a marker for clinical behavior.