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

Gong, R., Wegscheider, M., Mühlberg, C., Gast, R., Fricke, C., Rumpf, J.-J., et al. (2021). Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson’s disease derived from scalp EEG. Brain, 144(2), 487-503. doi:10.1093/brain/awaa400.

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 Creators:
Gong, Ruxue1, Author           
Wegscheider, Mirko2, Author
Mühlberg, Christoph3, Author           
Gast, Richard1, 4, Author           
Fricke, Christopher2, Author
Rumpf, Jost-Julian2, Author
Nikulin, Vadim V.3, Author           
Knösche, Thomas R.1, Author           
Classen, Joseph2, Author
Affiliations:
1Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              
2Department of Neurology, University Hospital Leipzig, Germany, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4Methods and Development Group Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634558              

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Free keywords: Parkinson’s disease; Phase-amplitude coupling; Source analysis; Spatiotemporal characteristics
 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.

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Language(s): eng - English
 Dates: 2020-08-092020-05-312020-09-082020-09-302021-02
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1093/brain/awaa400
PMID: 33257940
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Project name : -
Grant ID : P1140048
Funding program : CortExplorer program
Funding organization : Hertie Foundation
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Grant ID : -
Funding program : -
Funding organization : International Max Planck Research School on Neuroscience of Communication (IMPRS Neurocom)

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Title: Brain
  Other : Brain: a journal of neurology
Source Genre: Journal
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Publ. Info: Oxford : Oxford Univ. Press
Pages: - Volume / Issue: 144 (2) Sequence Number: - Start / End Page: 487 - 503 Identifier: ISSN: 0006-8950
CoNE: https://pure.mpg.de/cone/journals/resource/954925385135