DBS feedback controlled tremor suppression in Parkinson’s disease

Deep brain stimulation (DBS) is an effective electric therapy to treat movement disorders associated with chronical neural diseases like essential tremor, dystonia and Parkinsonpsilas disease. In spite of a long clinical experience, the cellular effects of the DBS are still partially unknown because of the lack of information about the target sites. Recent studies, however, have proposed the local field potentials (LFPs) in the targets as a useful tool to study the behavior before and after stimulation [1]. Through a previously described [2] simulator of the electric activity in the nucleus ventralis intermediate of thalamus (Vim, one of the preferred stimulation targets) under tremor conditions, our work investigates the relationship between DBS settings and LFPs. A least-square approach is adopted to identify a functional, input-output ARMAX model structure for the Vim and evaluate the effects of the stimulation on its electric patterns. Based on it, a feedback control scheme is then proposed to restore the spectral features of the Vimpsilas LFPs to reference values, derived from subjects not affected by movement disorders. Results indicate good performances in tracking the reference spectral features through selective changes in the low (2-7 Hz), alpha (7-13 Hz) and beta (13-35 Hz) ranges.