Journal
ENEURO
Volume 6, Issue 3, Pages -Publisher
SOC NEUROSCIENCE
DOI: 10.1523/ENEURO.0151-19.2019
Keywords
beta; EEG; electrophysiology; motor cortex; Parkinson's disease; waveform shape
Categories
Funding
- National Science Foundation Graduate Research Fellowship Program
- University of California, San Diego Chancellor's Research Excellence Scholarship
- Sloan Research Fellowship
- Whitehall Foundation [2017-12-73]
- National Science Foundation [1736028]
- Direct For Social, Behav & Economic Scie
- Division Of Behavioral and Cognitive Sci [1736028] Funding Source: National Science Foundation
Ask authors/readers for more resources
Neural activity in the beta 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 beta phase and broad-band gamma (>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 beta oscillation shape also characterize PD. Here, we show that these features of beta 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, beta 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 beta 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 beta 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available