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Sunday, July 19 • 8:00pm - 9:00pm
P8: Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease

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Benoit Duchet, Filippo Ghezzi, Gihan Weerasinghe, Gerd Tinkhauser, Andrea A. Kuhn, Peter Brown, Christian Bick, Rafal Bogacz

Parkinson's disease motor symptoms are associated with an increase in subthalamic nucleus beta band oscillatory power. However, these oscillations are phasic, and a growing body of evidence suggests that beta burst duration may be of critical importance to motor symptoms, making insights into the dynamics of beta bursting generation valuable. 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 acts in a more non-linear regime OFF medications and that the change in the degree of non-linearity is correlated with motor impairment. We further narrow-down dynamical changes responsible for changes in temporal patterning of beta oscillations between medication states by fitting to data biologically inspired models, and simpler models of the beta envelope. 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, revealing 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 have demonstrated 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.

To leave more room for questions and discussions, please have a look at my recorded poster walk-through before joining the session: https://youtu.be/4N04CMKCsaQ
Link to google meet session: https://meet.google.com/jxk-hgiw-okf

avatar for Benoit Duchet

Benoit Duchet

Postdoctoral researcher, University of Oxford
My work is focused on studying the neural circuits affected by Parkinson’s disease and essential tremor through mathematical and computational methods, with the aim of improving therapeutic interventions such as deep brain stimulation.Topics I am interested in include dynamical... Read More →

Sunday July 19, 2020 8:00pm - 9:00pm CEST
Slot 08