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Creating the feedback loop: closed-loop neurostimulation.

Adam O Hebb1, Jun Jason Zhang, Mohammad H Mahoor

  • 1Colorado Neurological Institute, Department of Electrical and Computer Engineering, University of Denver, 499 E Hampden Ave Ste, 220 Englewood, CO 80113, USA.

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Summary
This summary is machine-generated.

Current deep brain stimulation (DBS) uses an open-loop system. This review explores using brain signals, like neuronal oscillations, to create closed-loop DBS for optimized neuromodulation therapy.

Keywords:
Closed-loopControl systemsDeep brain stimulationLocal field potentialsMachine learningOscillationsSubthalamic nucleus

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Neuromodulation

Background:

  • Current deep brain stimulation (DBS) employs an open-loop system with fixed parameters, proving effective for movement disorders.
  • Technological advancements in biosignal recording have surpassed our comprehension of their direct correlation with a patient's overall clinical status.
  • Neuronal oscillations are increasingly recognized for their role in brain ensemble functioning and potential to inform personalized neuromodulation.

Purpose of the Study:

  • To review strategies for utilizing neuronal signals to enhance current neuromodulation therapies.
  • To bridge the gap between biosignal recording technology and its application in closed-loop stimulation systems.
  • To explore how neuronal oscillations can customize deep brain stimulation.

Main Methods:

  • Literature review focusing on the application strategies of neuronal signals in neuromodulation.
  • Analysis of how biosignals, particularly neuronal oscillations, can be leveraged for closed-loop systems.
  • Discussion of advances in translating biosignal information into adaptive stimulation parameters.

Main Results:

  • The review highlights various strategies for employing neuronal signals to trigger or modulate stimulation systems.
  • It emphasizes the potential of neuronal oscillations as a biomarker for optimizing DBS therapy.
  • Advances focus on the *application* of signals rather than the recording technology itself.

Conclusions:

  • Closed-loop DBS systems, guided by real-time biosignals like neuronal oscillations, offer a promising avenue for optimizing neuromodulation therapy.
  • Integrating neuronal signal analysis into stimulation strategies can lead to more personalized and effective treatments.
  • Further research into the relationship between biosignals and clinical states is crucial for advancing closed-loop neuromodulation.