OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
Yuki Minai, Joana Soldado-Magraner, Byron M. Yu, Matthew A. Smith

TL;DR
OMiSO is an adaptive brain stimulation framework that uses real-time brain state information to optimize stimulation parameters, improving the ability to steer neural activity toward desired states in a causal and precise manner.
Contribution
This work introduces OMiSO, a novel adaptive optimization method that incorporates pre-stimulation brain states and response refinement, enhancing neural modulation accuracy.
Findings
OMiSO outperforms existing methods in achieving target neural states.
It adaptively refines stimulation parameters based on observed responses.
Demonstrated effectiveness in intracortical stimulation in a monkey.
Abstract
The coordinated activity of neural populations underlies myriad brain functions. Manipulating this activity using brain stimulation techniques has great potential for scientific and clinical applications, as it provides a tool to causally influence brain function. The state of the brain affects how neural populations respond to incoming sensory stimuli. Thus, taking into account pre-stimulation neural population activity may be crucial to achieve a desired causal manipulation using stimulation. In this work, we propose Online MicroStimulation Optimization (OMiSO), a brain stimulation framework that leverages brain state information to find stimulation parameters that can drive neural population activity toward specified states. OMiSO includes two key advances: i) it leverages the pre-stimulation brain state to choose optimal stimulation parameters, and ii) it adaptively refines the…
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Taxonomy
TopicsNeurological disorders and treatments · Neuroscience and Neural Engineering · Transcranial Magnetic Stimulation Studies
