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Updated: Sep 29, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Embedding digital chronotherapy into bioelectronic medicines.

John E Fleming1, Vaclav Kremen2,3,4, Ro'ee Gilron5

  • 1Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Mansfield Road, Oxford OX1 3TH, UK.

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|March 22, 2022
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Summary
This summary is machine-generated.

Future bioelectronic medicine devices should incorporate biological rhythms into their control systems. This chronotherapy approach can enhance neuromodulation therapy effectiveness for conditions like Parkinson's disease and epilepsy.

Keywords:
BioelectronicsBiological sciencesBiotechnologyNeuroscience

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Area of Science:

  • Neuroscience
  • Chronobiology
  • Biomedical Engineering

Background:

  • Biological rhythms significantly influence physiological and pathophysiological processes across various timescales.
  • Current neuromodulation device technology has limitations in sensing and algorithms, hindering the study of these rhythms' impact on bioelectronic medicine efficacy.
  • Advancements in device technology are overcoming previous limitations, opening avenues for integrating chronobiological insights.

Purpose of the Study:

  • To propose the integration of chronobiological considerations into the control structures of future neuromodulation devices.
  • To maximize the therapeutic benefits of bioelectronic medicine by adapting stimulation to patient-specific biological rhythms.
  • To present preliminary data and a conceptual framework for chronotherapy-enabled bioelectronic devices.

Main Methods:

  • Analysis of longitudinal data from patients with Parkinson's disease and epilepsy undergoing deep brain stimulation.
  • Identification of periodic symptom biomarkers synchronized to biological rhythms (sub-daily, daily, longer timescales).
  • Development and testing of chronotherapy-enabled prototype devices incorporating time-based adaptation of stimulation control.

Main Results:

  • Preliminary data show synchronization of symptom biomarkers to biological rhythms in Parkinson's disease and epilepsy patients.
  • Case studies demonstrate the feasibility of using chronotherapy-enabled prototypes to adapt neuromodulation.
  • The proposed physiological control structure offers a potential adjunct to classical control methods.

Conclusions:

  • Integrating chronobiological principles into neuromodulation devices is crucial for optimizing bioelectronic medicine.
  • Future devices should leverage patient-specific biological rhythms for enhanced therapeutic outcomes.
  • Chronotherapy represents a promising strategy to improve the efficacy of neuromodulation therapies.