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Updated: May 23, 2025

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Finely Tuned γ Tracks Medication Cycles in Parkinson's Disease: An Ambulatory Brain-Sense Study
Aaron Colombo1,2, Elena Bernasconi1,3, Laura Alva1
1Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Background:
Novel commercial brain-sense neurostimulators enable us to contextualize brain activity with symptom and medication states in real-life ambulatory settings in Parkinson's disease (PD). Although various candidate biomarkers have been proposed for adaptive deep brain stimulation (DBS), a comprehensive comparison of their ambulatory profiles is lacking.
Objectives:
To systematically compare the ambulatory neurophysiological dynamics and clinical properties of three candidate biomarkers-low-frequency, beta (β), and finely tuned γ (FTG) activity.
Methods:
We investigated 14 PD patients implanted with the Medtronic Percept PC, who underwent up to two 4-week ambulatory multimodal recording periods on their regular medication and stimulation. Subthalamic nucleus local field potentials (LFPs) of low-frequency, β, and FTG activity were recorded. Additionally, objective motor symptom states, physical activity and heart rate using wearables, as well as medication-intake times, sleep-awake times, and subjective symptom states using diaries were co-registered. LFP dynamics were also compared to high-resolution in-hospital recordings under off/on dopaminergic medication and stimulation conditions.
Results:
FTG reliably indexed off to on medication states in the ambulatory setting at the group and individual levels, and these spectral dynamics could be anticipated by high-resolution in-hospital recordings. Both FTG and low-frequency correlated with wearable-based dyskinesia scores, whereas diary-based dyskinesia events were only linked to FTG. Importantly, FTG indicated on-medication states regardless of the presence of dyskinesia and despite potential motion and heart rate artifacts. The 24-hour profile revealed large circadian power shifts that may overdrive medication-intake dynamics.
Conclusion:
Despite the limitations of low-temporal resolution recordings, this work provides valuable insights into the real-life dynamics of biomarkers. Specifically, it highlights the utility of FTG as a primary and reliable indicator of medication states for adaptive DBS. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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