An Embedded Multi-Core Real-Time Simulation Platform of Basal Ganglia for Deep Brain Stimulation
Open Access
- 7 July 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Vol. 29 (15344320), 1328-1340
- https://doi.org/10.1109/tnsre.2021.3095316
Abstract
Closed-loop deep brain stimulation (DBS) paradigm is gaining tremendous favor due to its potential capability of further and more efficient improvements in neurological diseases. Preclinical validation of closed-loop controller is quite necessary in order to minimize injury risks of clinical trials to patients, which can greatly benefit from real-time computational models and thus potentially reduce research and development costs and time. Here we developed an embedded multi-core real-time simulation platform (EMC-RTP) for a biological-faithful computational network model of basal ganglia (BG). The single neuron model is implemented in a highly real-time manner using a reasonable simplification. A modular mapping architecture with hierarchical routing organization was constructed to mimic the pathological neural activities of BG observed in parkinsonian conditions. A closed-loop simulation testbed for DBS validation was then set up using a host computer as the DBS controller. The availability of EMC-RTP and the testbed system was validated by comparing the performance of open-loop and proportional-integral (PI) controllers. Our experimental results showed that the proposed EMC-RTP reproduces abnormal beta bursts of BG in parkinsonian conditions while meets requirements of both real-time and computational accuracy as well. Closed-loop DBS experiments using the EMC-RTP suggested that the platform could perform reasonable output under different kinds of DBS strategies, indicating the usability of the platform.Keywords
Funding Information
- National Natural Science Foundation of China (61771330)
- Tianjin Municipal Natural Science Foundation (19JCQNJC01200, 18JCZDJC32000)
This publication has 46 references indexed in Scilit:
- Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillationsExperimental Neurology, 2013
- Deep brain stimulation: Subthalamic nucleus electrophysiological activity in awake and anesthetized patientsClinical Neurophysiology, 2012
- Basal Ganglia Beta Oscillations Accompany Cue UtilizationNeuron, 2012
- Relative contributions of local cell and passing fiber activation and silencing to changes in thalamic fidelity during deep brain stimulation and lesioning: a computational modeling studyJournal of Computational Neuroscience, 2011
- Long‐term results of a multicenter study on subthalamic and pallidal stimulation in Parkinson's diseaseMovement Disorders, 2010
- Reversing cognitive–motor impairments in Parkinson’s disease patients using a computational modelling approach to deep brain stimulation programmingBrain, 2010
- Cumulative and after-effects of short and weak coordinated reset stimulation: a modeling studyJournal of Neural Engineering, 2009
- Parkinson's disease: clinical features and diagnosisJournal of Neurology, Neurosurgery & Psychiatry, 2008
- Subthalamic Nucleus Stimulation: Improvements in Outcome With ReprogrammingArchives of Neurology, 2006
- Oscillatory nature of human basal ganglia activity: Relationship to the pathophysiology of Parkinson's diseaseMovement Disorders, 2002