Temporal patterning of pulses during deep brain stimulation affects central nervous system arousal

Area of Science:

• Neuroscience
• Biophysics

Background:

• Central nervous system (CNS) arousal is crucial for motivated behaviors.
• Deep brain stimulation (DBS) is a tool to modulate CNS arousal, typically adjusted by pulse width, frequency, amplitude, and duration.
• Conventional DBS effectiveness relies on constant stimulation parameters.

Purpose of the Study:

• To investigate the impact of temporal pulse patterning on DBS effectiveness for increasing arousal.
• To compare the effects of nonlinear (NL1, NL2) and fixed-frequency (FF) stimulation patterns on arousal.
• To explore the use of nonlinear dynamics in optimizing DBS.

Main Methods:

• Utilized a novel approach by keeping DBS parameters constant except for temporal patterning.
• Generated pulse trains using a deterministic nonlinear dynamic equation.
• Applied hippocampal and medial thalamic stimulation with three patterns (NL1, NL2, FF) in female mice.
• Monitored behavioral arousal and recorded cortical electroencephalogram (EEG).

Main Results:

• Nonlinear1 (NL1) hippocampal stimulation significantly increased behavioral arousal compared to FF and NL2.
• Fixed frequency (FF) and NL2 medial thalamic stimulation were more effective than NL1.
• An unexpected increase in slow-wave spectral power in the cortical EEG was observed during stimulation.

Conclusions:

• The temporal pattern of DBS pulses can be modulated to enhance its effectiveness in increasing arousal.
• Nonlinear dynamics offer a promising avenue for optimizing DBS parameters.
• Findings suggest a new paradigm for DBS based on temporal patterning rather than solely on conventional parameters.