Abstract
Despite the clinical and financial burden of Parkinson’s disease (PD), there is no standardized, reliable biomarker to diagnose and track PD progression. Instead, PD is primarily assessed using subjective clinical rating scales and patient self-report. Such approaches can be imprecise, hindering diagnosis and disease monitoring. An objective biomarker would be beneficial for clinical care, refining diagnosis, and treatment. Due to widespread electrophysiological abnormalities both within and between brain structures in PD, development of electrophysiologic biomarkers may be feasible. Basal ganglia recordings acquired with neurosurgical approaches have revealed elevated power in the beta frequency range (13–30 Hz) in PD, suggesting that beta power could be a putative PD biomarker. However, there are limitations to the use of beta power as a biomarker. Recent advances in analytic approaches have led to novel methods to quantify oscillatory synchrony in the beta frequency range. Here we describe some of these novel approaches in the context of PD and explore how they may serve as electrophysiological biomarkers. These novel signatures include (1) interactions between beta phase and broadband (> 50 Hz, “gamma”) amplitude (i.e., phase amplitude coupling, PAC), (2) asymmetries in waveform shape, (3) beta coherence, and (4) beta “bursts.” Development of a robust, reliable, and readily accessible electrophysiologic biomarker would represent a major step towards more precise and personalized care in PD.
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Idea for the article: NCS; Literature search: AK, SM, and NCS; Drafted and revised: AK, SM, and NCS.
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Karekal, A., Miocinovic, S. & Swann, N.C. Novel approaches for quantifying beta synchrony in Parkinson’s disease. Exp Brain Res 240, 991–1004 (2022). https://doi.org/10.1007/s00221-022-06308-8
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DOI: https://doi.org/10.1007/s00221-022-06308-8