Galvanic vs. pulsatile effects on decision-making networks: reshaping the neural activation landscape

Area of Science:

• Neuroscience
• Computational Neuroscience
• Biomedical Engineering

Background:

• Biphasic pulsatile stimulation (PS) is the current standard for neural electrical excitation due to safety.
• PS has limitations despite its effectiveness in achieving functional outcomes.
• Galvanic stimulation (GS), involving extended current delivery (>1 s), is re-emerging as an alternative.

Purpose of the Study:

• To investigate the differences between pulsatile stimulation (PS) and galvanic stimulation (GS).
• To compare neural responses to PS and GS in a decision-making cortical network model.
• To evaluate GS as a potential alternative to PS for neural excitation.

Main Methods:

• Utilized a winner-take-all decision-making cortical network model.
• Simulated neural responses to both pulsatile stimulation (PS) and galvanic stimulation (GS).
• Analyzed spatiotemporal distribution and synchronization of neural activation.

Main Results:

• In silico results supported the hypothesis that GS produces more distributed, network-sensitive responses than PS.
• PS led to highly synchronized activation of a limited neuron group.
• Deviations from hypotheses occurred with large GS amplitudes that directly activated or blocked neurons.

Conclusions:

• Galvanic stimulation (GS) can potentially overcome limitations of pulsatile stimulation (PS).
• Careful parameterization of GS can lead to more naturalistic neural firing patterns.
• GS shows promise for applications requiring nuanced neural excitation.