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Closing the loop of DBS using the beta oscillations in cortex

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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.

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Acknowledgements

This work was supported by the Natural Science Foundation of Tianjin, China (Grant Nos. 20JCQNJC01160 and 18JCZDJC32000) and the Foundation of Tianjin University under Grant 2020XRG-0018. The authors also gratefully acknowledge the financial support provided by Opening Fundation of Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University), Ministry of Education (KFKT2020-01).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

    Chen Liu, Ge Zhao, Zihan Meng & Jiang Wang

  2. Department of Physics, Centre for Nonlinear Studies, Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Changsong Zhou

  3. Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China

    Xiaodong Zhu & Wei Zhang

  4. School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China

    Huiyan Li

  5. School of Civil Engineering, Tianjin University, Tianjin, China

    Hao Wu

  6. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA

    Chris Fietkiewicz & Kenneth A. Loparo

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  1. Chen Liu
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  2. Ge Zhao
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  3. Zihan Meng
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  4. Changsong Zhou
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  7. Jiang Wang
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  11. Kenneth A. Loparo
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Correspondence to Huiyan Li.

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Liu, C., Zhao, G., Meng, Z. et al. Closing the loop of DBS using the beta oscillations in cortex. Cogn Neurodyn 15, 1157–1167 (2021). https://doi.org/10.1007/s11571-021-09690-1

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