Closing the loop of DBS using the beta oscillations in cortex

Chen Liu, Ge Zhao, Zihan Meng, Changsong Zhou, Xiaodong Zhu, Wei Zhang, Jiang Wang, Huiyan Li*, Hao Wu, Chris Fietkiewicz, Kenneth A. Loparo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Cortical information has great importance to reflect the deep brain stimulation (DBS) effects for Parkinson’s disease patients. Using cortical activities to feedback is an available closed-loop idea for DBS. Previous studies have demonstrated the pathological beta (12–35 Hz) cortical oscillations can be suppressed by appropriate DBS settings. Thus, here we propose to close the loop of DBS based on the beta oscillations in cortex. By modify the cortico-basal ganglia-thalamic neural loop model, more biologically realistic underlying the Parkinsonian phenomenon is approached. Stimulation results show the proposed closed-loop DBS strategy using cortical beta oscillation as feedback information has more profound roles in alleviating the pathological neural abnormality than the traditional open-loop DBS. Additionally, we compare the stimulation effects with subthalamic nucleus feedback strategy. It is shown that using cortical beta information as the feedback signals can further enlarge the control parameter space based on proportional-integral control structure with a lower energy expenditure. This work may pave the way to optimizing the DBS effects in a closed-loop arrangement.

Original languageEnglish
Pages (from-to)1157-1167
Number of pages11
JournalCognitive Neurodynamics
Volume15
Issue number6
Early online date23 Jun 2021
DOIs
Publication statusPublished - Dec 2021

Scopus Subject Areas

  • Cognitive Neuroscience

User-Defined Keywords

  • Beta oscillation
  • Cortical feedback
  • Cortico-basal ganglia-thalamic neural network
  • Izhikevich model
  • Parkinsonian state

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