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Intracortical Dynamics Underlying Repetitive Stimulation Predicts Changes in Network Connectivity.

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Direct electrical stimulation of the brain causes predictable changes in neural activity and connectivity. Measuring brain responses during stimulation helps optimize future brain plasticity protocols for neurological disorders.

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Area of Science:

  • Neuroscience
  • Neuromodulation
  • Brain-Computer Interfaces

Background:

  • Direct electrical stimulation can modulate brain network activity, but neural dynamics during stimulation and their link to post-stimulation effects are not fully understood.
  • Optimizing brain stimulation therapies requires a deeper understanding of the immediate neural changes occurring during stimulation and their relationship to subsequent network alterations.

Purpose of the Study:

  • To characterize neural dynamics during direct electrical stimulation and its relationship to post-stimulation network changes in humans.
  • To investigate how stimulation parameters and network connectivity influence the brain's response to stimulation and subsequent plasticity.

Main Methods:

  • Applied 10 Hz direct electrical stimulation to cortical regions in 14 human subjects with intracranial electrodes.
  • Recorded neural activity, including high gamma power during stimulation and low-frequency power post-stimulation.
  • Measured network connectivity using corticocortical evoked potentials and theta coherence.

Main Results:

  • Stimulation consistently increased high gamma power (70-170 Hz) during the train and low-frequency power (1-8 Hz) immediately after.
  • Evoked responses post-stimulation strongly correlated with neural activity during stimulation.
  • Regions with higher connectivity to the stimulation site showed stronger responses and progressive alterations with repeated stimulation cycles.
  • Post-stimulation connectivity changes were predictable after just 2 minutes of stimulation.

Conclusions:

  • Neural activity during stimulation is directly related to post-stimulation connectivity changes in humans.
  • Measuring neural dynamics during stimulation can inform the development of more effective plasticity-inducing protocols.
  • These findings advance the understanding of stimulation-induced plasticity and guide future personalized neuromodulation therapies.