Literature DB >> 33257940

Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson's disease derived from scalp EEG.

Ruxue Gong1,2, Mirko Wegscheider1, Christoph Mühlberg1, Richard Gast2, Christopher Fricke1, Jost-Julian Rumpf1, Vadim V Nikulin3, Thomas R Knösche2, Joseph Classen1.   

Abstract

Abnormal phase-amplitude coupling between β and broadband-γ activities has been identified in recordings from the cortex or scalp of patients with Parkinson's disease. While enhanced phase-amplitude coupling has been proposed as a biomarker of Parkinson's disease, the neuronal mechanisms underlying the abnormal coupling and its relationship to motor impairments in Parkinson's disease remain unclear. To address these issues, we performed an in-depth analysis of high-density EEG recordings at rest in 19 patients with Parkinson's disease and 20 age- and sex-matched healthy control subjects. EEG signals were projected onto the individual cortical surfaces using source reconstruction techniques and separated into spatiotemporal components using independent component analysis. Compared to healthy controls, phase-amplitude coupling of Parkinson's disease patients was enhanced in dorsolateral prefrontal cortex, premotor cortex, primary motor cortex and somatosensory cortex, the difference being statistically significant in the hemisphere contralateral to the clinically more affected side. β and γ signals involved in generating abnormal phase-amplitude coupling were not strictly phase-phase coupled, ruling out that phase-amplitude coupling merely reflects the abnormal activity of a single oscillator in a recurrent network. We found important differences for couplings between the β and γ signals from identical components as opposed to those from different components (originating from distinct spatial locations). While both couplings were abnormally enhanced in patients, only the latter were correlated with clinical motor severity as indexed by part III of the Movement Disorder Society Unified Parkinson's Disease Rating Scale. Correlations with parkinsonian motor symptoms of such inter-component couplings were found in premotor, primary motor and somatosensory cortex, but not in dorsolateral prefrontal cortex, suggesting motor domain specificity. The topography of phase-amplitude coupling demonstrated profound differences in patients compared to controls. These findings suggest, first, that enhanced phase-amplitude coupling in Parkinson's disease patients originates from the coupling between distinct neural networks in several brain regions involved in motor control. Because these regions included the somatosensory cortex, abnormal phase-amplitude coupling is not exclusively tied to the hyperdirect tract connecting cortical regions monosynaptically with the subthalamic nucleus. Second, only the coupling between β and γ signals from different components appears to have pathophysiological significance, suggesting that therapeutic approaches breaking the abnormal lateral coupling between neuronal circuits may be more promising than targeting phase-amplitude coupling per se.
© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Parkinson’s disease; phase-amplitude coupling; source analysis; spatiotemporal characteristics

Mesh:

Year:  2021        PMID: 33257940     DOI: 10.1093/brain/awaa400

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  10 in total

1.  Neuromodulation in Beta-Band Power Between Movement Execution and Inhibition in the Human Hippocampus.

Authors:  Roberto Martin Del Campo-Vera; Austin M Tang; Angad S Gogia; Kuang-Hsuan Chen; Rinu Sebastian; Zachary D Gilbert; George Nune; Charles Y Liu; Spencer Kellis; Brian Lee
Journal:  Neuromodulation       Date:  2022-02

2.  On the Role of Arkypallidal and Prototypical Neurons for Phase Transitions in the External Pallidum.

Authors:  Richard Gast; Ruxue Gong; Helmut Schmidt; Hil G E Meijer; Thomas R Knösche
Journal:  J Neurosci       Date:  2021-06-30       Impact factor: 6.167

3.  Dopaminergic Modulation of Local Non-oscillatory Activity and Global-Network Properties in Parkinson's Disease: An EEG Study.

Authors:  Juanli Zhang; Arno Villringer; Vadim V Nikulin
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4.  Cross-frequency phase-amplitude coupling in repetitive movements in patients with Parkinson's disease.

Authors:  Ruxue Gong; Christoph Mühlberg; Mirko Wegscheider; Christopher Fricke; Jost-Julian Rumpf; Thomas R Knösche; Joseph Classen
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Journal:  Brain       Date:  2022-07-29       Impact factor: 15.255

8.  Parkinson's disease detection based on multi-pattern analysis and multi-scale convolutional neural networks.

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Journal:  Front Neurosci       Date:  2022-07-27       Impact factor: 5.152

9.  Sleep Alterations in a Mouse Model of Spinocerebellar Ataxia Type 3.

Authors:  Maria-Efstratia Tsimpanouli; Anjesh Ghimire; Anna J Barget; Ridge Weston; Henry L Paulson; Maria do Carmo Costa; Brendon O Watson
Journal:  Cells       Date:  2022-10-05       Impact factor: 7.666

10.  Neuromodulation in Beta-Band Power Between Movement Execution and Inhibition in the Human Hippocampus.

Authors:  Roberto Martin Del Campo-Vera; Austin M Tang; Angad S Gogia; Kuang-Hsuan Chen; Rinu Sebastian; Zachary D Gilbert; George Nune; Charles Y Liu; Spencer Kellis; Brian Lee
Journal:  Neuromodulation       Date:  2021-07-05
  10 in total

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