Beta–Gamma Phase-Amplitude Coupling as a Non-Invasive Biomarker for Parkinson’s Disease: Insights from Electroencephalography Studies

Author:

Hodnik Tisa12,Roytman Stiven3,Bohnen Nico I.3456,Marusic Uros237ORCID

Affiliation:

1. Department of Psychology, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia

2. Institute for Kinesiology Research, Science and Research Centre Koper, 6000 Koper, Slovenia

3. Functional Neuroimaging, Cognitive and Mobility Laboratory, Department of Radiology, University of Michigan, 24 Frank Lloyd Wright Drive, Domino’s Farms, Lobby B-1000, Ann Arbor, MI 48106, USA

4. Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA

5. Udall Center of Excellence in Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48109, USA

6. Ann Arbor VA Healthcare Center, Neurology Service, Ann Arbor, MI 48109, USA

7. Department of Health Sciences, Alma Mater Europaea—ECM, 2000 Maribor, Slovenia

Abstract

Phase-amplitude coupling (PAC) describes the interaction of two separate frequencies in which the lower frequency phase acts as a carrier frequency of the higher frequency amplitude. It is a means of carrying integrated streams of information between micro- and macroscale systems in the brain, allowing for coordinated activity of separate brain regions. A beta–gamma PAC increase over the sensorimotor cortex has been observed consistently in people with Parkinson’s disease (PD). Its cause is attributed to neural entrainment in the basal ganglia, caused by pathological degeneration characteristic of PD. Disruptions in this phenomenon in PD patients have been observed in the resting state as well as during movement recordings and have reliably distinguished patients from healthy participants. The changes can be detected non-invasively with the electroencephalogram (EEG). They correspond to the severity of the motor symptoms and the medication status of people with PD. Furthermore, a medication-induced decrease in PAC in PD correlates with the alleviation of motor symptoms measured by assessment scales. A beta–gamma PAC increase has, therefore, been explored as a possible means of quantifying motor pathology in PD. The application of this parameter to closed-loop deep brain stimulation could serve as a self-adaptation measure of such treatment, responding to fluctuations of motor symptom severity in PD. Furthermore, phase-dependent stimulation provides a new precise method for modulating PAC increases in the cortex. This review offers a comprehensive synthesis of the current EEG-based evidence on PAC fluctuations in PD, explores the potential practical utility of this biomarker, and provides recommendations for future research.

Funder

European Union’s Horizon 2020 research and innovation program

Horizon Europe

Slovenian Research Agency

Publisher

MDPI AG

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