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Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography

Neural activity in the β frequency range (13–30 Hz) is excessively synchronized in Parkinson’s disease (PD). Previous work using invasive intracranial recordings and non-invasive scalp electroencephalography (EEG) has shown that correlations between β phase and broad-band γ (>50 Hz) amplitude [i....

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Detalles Bibliográficos
Autores principales: Jackson, Nicko, Cole, Scott R., Voytek, Bradley, Swann, Nicole C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553574/
https://www.ncbi.nlm.nih.gov/pubmed/31110135
http://dx.doi.org/10.1523/ENEURO.0151-19.2019
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author Jackson, Nicko
Cole, Scott R.
Voytek, Bradley
Swann, Nicole C.
author_facet Jackson, Nicko
Cole, Scott R.
Voytek, Bradley
Swann, Nicole C.
author_sort Jackson, Nicko
collection PubMed
description Neural activity in the β frequency range (13–30 Hz) is excessively synchronized in Parkinson’s disease (PD). Previous work using invasive intracranial recordings and non-invasive scalp electroencephalography (EEG) has shown that correlations between β phase and broad-band γ (>50 Hz) amplitude [i.e., phase amplitude coupling (PAC)] are elevated in PD, perhaps a reflection of this synchrony. Recently, it has also been shown, in invasive human recordings, that non-sinusoidal features of β oscillation shape also characterize PD. Here, we show that these features of β waveform shape also distinguish PD patients on and off medication using non-invasive recordings in a dataset of 15 PD patients with resting scalp EEG. Specifically, β oscillations over sensorimotor electrodes in PD patients off medication had greater sharpness asymmetry and steepness asymmetry than on medication (sign rank, p < 0.02, corrected). We also showed that β oscillations over sensorimotor cortex most often had a canonical shape, and that using this prototypical shape as an inclusion criteria increased the effect size of our findings. Together, our findings suggest that novel ways of measuring β synchrony that incorporate waveform shape could improve detection of PD pathophysiology in non-invasive recordings. Moreover, they motivate the consideration of waveform shape in future EEG studies.
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spelling pubmed-65535742019-06-07 Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography Jackson, Nicko Cole, Scott R. Voytek, Bradley Swann, Nicole C. eNeuro New Research Neural activity in the β frequency range (13–30 Hz) is excessively synchronized in Parkinson’s disease (PD). Previous work using invasive intracranial recordings and non-invasive scalp electroencephalography (EEG) has shown that correlations between β phase and broad-band γ (>50 Hz) amplitude [i.e., phase amplitude coupling (PAC)] are elevated in PD, perhaps a reflection of this synchrony. Recently, it has also been shown, in invasive human recordings, that non-sinusoidal features of β oscillation shape also characterize PD. Here, we show that these features of β waveform shape also distinguish PD patients on and off medication using non-invasive recordings in a dataset of 15 PD patients with resting scalp EEG. Specifically, β oscillations over sensorimotor electrodes in PD patients off medication had greater sharpness asymmetry and steepness asymmetry than on medication (sign rank, p < 0.02, corrected). We also showed that β oscillations over sensorimotor cortex most often had a canonical shape, and that using this prototypical shape as an inclusion criteria increased the effect size of our findings. Together, our findings suggest that novel ways of measuring β synchrony that incorporate waveform shape could improve detection of PD pathophysiology in non-invasive recordings. Moreover, they motivate the consideration of waveform shape in future EEG studies. Society for Neuroscience 2019-06-04 /pmc/articles/PMC6553574/ /pubmed/31110135 http://dx.doi.org/10.1523/ENEURO.0151-19.2019 Text en Copyright © 2019 Jackson et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle New Research
Jackson, Nicko
Cole, Scott R.
Voytek, Bradley
Swann, Nicole C.
Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography
title Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography
title_full Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography
title_fullStr Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography
title_full_unstemmed Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography
title_short Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography
title_sort characteristics of waveform shape in parkinson’s disease detected with scalp electroencephalography
topic New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553574/
https://www.ncbi.nlm.nih.gov/pubmed/31110135
http://dx.doi.org/10.1523/ENEURO.0151-19.2019
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