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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....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2019
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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. |
format | Online Article Text |
id | pubmed-6553574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
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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