ArticleFrontiers in computational neuroscience2017
Computational Stimulation of the Basal Ganglia Neurons with Cost Effective Delayed Gaussian Waveforms.
Article in Frontiers in computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Transcranial ultrasound neuromodulation induces neuronal correlation change in the rat somatosensory cortex.Journal of neural engineering · 2022Article
- Biomarkers for closed-loop deep brain stimulation in Parkinson disease and beyond.Nature reviews. Neurology · 2019Article
- Article
- Neuroprotection by immunomodulatory agents in animal models of Parkinson's disease.Neural regeneration research · 2018Review
- Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate.Computational intelligence and neuroscience · 2018Article
- Article
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Authors and funding
3 authors.
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Abstract
Deep brain stimulation (DBS) has compelling results in the desynchronization of the basal ganglia neuronal activities and thus, is used in treating the motor symptoms of Parkinson's disease (PD). Accurate definition of DBS waveform parameters could avert tissue or electrode damage, increase the neuronal activity and reduce energy cost which will prolong the battery life, hence avoiding device replacement surgeries. This study considers the use of a charge balanced Gaussian waveform pattern as a method to disrupt the firing patterns of neuronal cell activity. A computational model was created to simulate ganglia cells and their interactions with thalamic neurons. From the model, we investigated the effects of modified DBS pulse shapes and proposed a delay period between the cathodic and anodic parts of the charge balanced Gaussian waveform to desynchronize the firing patterns of the GPe and GPi cells. The results of the proposed Gaussian waveform with delay outperformed that of rectangular DBS waveforms used in
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