ArticlePLoS computational biology2021
Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Frequency-Specific EEG burst dynamics in Parkinson's Disease and freezing of gait.Journal of neurology · 2026Article
- From trade-offs to translation: An interdisciplinary roadmap for neurotechnology.Science advances · 2026Review
- Spatial propagation of movement-related basal ganglia activity predicts parkinsonian motor state.Brain : a journal of neurology · 2026Article
- Brain-computer interface-based neurofeedback training enables transferable control of cortical state switching in humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Rapid Profiling of EEG Responses to Non-Invasive Brain Stimulation in Parkinson's Disease: A Biomarker-Driven Screening Framework.Biomedicines · 2026Article
- Low-frequency activity in the subthalamic nucleus informs about the acute neuropsychiatric state in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Article
- Beta burst characteristics predict instantaneous hand movements in Parkinson's disease.Neurobiology of disease · 2025Article
- Prediction of Pathological Subthalamic Nucleus Beta Burst Occurrence in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Non-invasive brain stimulation to modulate neural activity in Parkinson's disease.NPJ Parkinson's disease · 2025Review
- Interaction of motor behaviour, cortical oscillations and deep brain stimulation in Parkinson's disease.Brain : a journal of neurology · 2025Article
- Evoked resonant neural activity long-term dynamics can be reproduced by a computational model with vesicle depletion.Neurobiology of disease · 2024Article
- How to design optimal brain stimulation to modulate phase-amplitude coupling?Journal of neural engineering · 2024Article
- Subthalamic stimulation modulates context-dependent effects of beta bursts during fine motor control.Nature communications · 2024Article
- Oscillatory and non-oscillatory features of the magnetoencephalic sensorimotor rhythm in Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Bursting with Potential: How Sensorimotor Beta Bursts Develop from Infancy to Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Clinical neurophysiological interrogation of motor slowing: A critical step towards tuning adaptive deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Average power and burst analysis revealed complementary information on drug-related changes of motor performance in Parkinson's disease.NPJ Parkinson's disease · 2023Article
- Evoked resonant neural activity in subthalamic local field potentials reflects basal ganglia network dynamics.Neurobiology of disease · 2023Article
- Article
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8 authors.
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Abstract
Parkinson's disease motor symptoms are associated with an increase in subthalamic nucleus beta band oscillatory power. However, these oscillations are phasic, and there is a growing body of evidence suggesting that beta burst duration may be of critical importance to motor symptoms. This makes insights into the dynamics of beta bursting generation valuable, in particular to refine closed-loop deep brain stimulation in Parkinson's disease. In this study, we ask the question "Can average burst duration reveal how dynamics change between the ON and OFF medication states?". Our analysis of local field potentials from the subthalamic nucleus demonstrates using linear surrogates that the system generating beta oscillations is more likely to act in a non-linear regime OFF medication and that the change in a non-linearity measure is correlated with motor impairment. In addition, we pinpoint the simplest dynamical changes that could be responsible for changes in the temporal patterning of beta oscillations between medication states by fitting to data biologically inspired models, and simpler beta envelope models. Finally, we show that the non-linearity can be directly extracted from average burst duration profiles under the assumption of constant noise in envelope models. This reveals that average burst duration profiles provide a window into burst dynamics, which may underlie the success of burst duration as a biomarker. In summary, we demonstrate a relationship between average burst duration profiles, dynamics of the system generating beta oscillations, and motor impairment, which puts us in a better position to understand the pathology and improve therapies such as deep brain stimulation.
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