A novel method for calculating beta band burst durations in Parkinson’s disease using a physiological baseline
•A novel method for measuring fluctuations in subthalamic LFP power in Parkinson’s disease using a baseline of power.•Modeling physiological brain activity using a simulated 1/f spectrum.•Burst durations depend on choice of bandwidth and center frequency.•Burst durations progressively shorten during...
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| Published in: | Journal of neuroscience methods Vol. 343; p. 108811 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Netherlands
Elsevier B.V
01-09-2020
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | •A novel method for measuring fluctuations in subthalamic LFP power in Parkinson’s disease using a baseline of power.•Modeling physiological brain activity using a simulated 1/f spectrum.•Burst durations depend on choice of bandwidth and center frequency.•Burst durations progressively shorten during increasing intensities of neurostimulation.•Comparison of event detection methods in the distribution of burst durations with increasing intensities of neurostimulation.
Pathologically prolonged bursts of neural activity in the 8−30 Hz frequency range in Parkinson’s disease have been measured using high power event detector thresholds.
This study introduces a novel method for determining beta bursts using a power baseline based on spectral activity that overlapped a simulated 1/f spectrum. We used resting state local field potentials from people with Parkinson’s disease and a simulated 1/f signal to measure beta burst durations, to demonstrate how tuning parameters (i.e., bandwidth and center frequency) affect burst durations, to compare burst duration distributions with high power threshold methods, and to study the effect of increasing neurostimulation intensities on burst duration.
The baseline method captured a broad distribution of resting state beta band burst durations. Mean beta band burst durations were significantly shorter on compared to off neurostimulation (p = 0.0046), and their distribution shifted towards that of the 1/f spectrum during increasing intensities of stimulation.
High power event detection methods, measure duration of higher power bursts and omit portions of the neural signal. The baseline method captured the broadest distribution of burst durations and was more sensitive than high power detection methods in demonstrating the effect of neurostimulation on beta burst duration.
The baseline method captured a broad range of fluctuations in beta band neural activity and demonstrated that subthalamic neurostimulation shortened burst durations in a dose (intensity) dependent manner, suggesting that beta burst duration is a useful control variable for closed loop algorithms. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 The Smith-Kettlewell Eye Research Institute, San Francisco, CA Ross Anderson: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigations, Data Curation, Writing – Original Draft & Review & Editing, Visualization, Supervision, Funding acquisition. Yasmine Kehnemouyi: Formal analysis, Investigation, Writing – Original Draft & Review and Editing. Raumin Neuville: Conceptualization, Validation, Formal analysis, Investigation, Writing – Review & Editing. Kevin Wilkins: Formal analysis, Investigation, Writing. Chioma Anidi: Methodology, Validation, Formal Analysis. Matthew Petrucci: Methodology, Validation, Investigation, Supervision. Jordan Parker: Validation, Investigation. Anca Velisar: Software, Investigation. Helen Bronte-Stewart: Conceptualization, Methodology, Writing – Original Draft & Review & Editing, Supervision, Funding acquisition. The University of California School of Medicine, Irvine, CA The University of Michigan School of Medicine, Ann Arbor, MI Author contributions |
| ISSN: | 0165-0270 1872-678X |
| DOI: | 10.1016/j.jneumeth.2020.108811 |