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Theoretical principles of deep brain stimulation induced synaptic suppression
AmirAli Farokhniaee1, Cameron C McIntyre1
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Brain Stimulation
|July 29, 2019
Summary
High-frequency deep brain stimulation (DBS) causes synaptic suppression, explaining observed neural firing patterns. This finding helps refine DBS models for neurological disorders.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Biophysics
Background:
- Deep brain stimulation (DBS) is a key therapy for neurological disorders, but its precise physiological mechanisms are not fully understood.
- Existing hypotheses for DBS mechanisms are numerous, but high-frequency stimulation-induced synaptic suppression aligns well with experimental neural activity recordings.
Purpose of the Study:
- To model excitatory post-synaptic currents and action potential signaling in neurons receiving DBS input.
- To characterize synaptic dynamics under DBS using a computational model.
Main Methods:
- Employed the Tsodyks-Markram (TM) synapse model to simulate synaptic depression, facilitation, and pseudo-linearity under DBS.
- Utilized a leaky integrate-and-fire neuron model driven by simulated synaptic inputs to analyze post-synaptic spiking activity.
Main Results:
- Synaptic suppression was consistently observed at high DBS frequencies, irrespective of synapse type.
- The TM model facilitated the development of optimized DBS pulsing strategies to maximize synaptic suppression efficiently.
Conclusions:
- Synaptic suppression offers a biophysical explanation for the intermittent, time-locked neuronal firing seen in DBS.
- Network models simulating DBS effects should incorporate synaptic suppression for accurate predictions of neural activity.
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