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Scott R. Cole
Researcher at University of California, San Diego
Publications - 9
Citations - 899
Scott R. Cole is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Python (programming language) & Electroencephalography. The author has an hindex of 8, co-authored 9 publications receiving 619 citations. Previous affiliations of Scott R. Cole include Clemson University & University of California, Berkeley.
Papers
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Journal ArticleDOI
Brain Oscillations and the Importance of Waveform Shape
Scott R. Cole,Bradley Voytek +1 more
TL;DR: It is shown here that there are numerous instances in which neural oscillations are nonsinusoidal, and approaches to characterize nonsinusoid features and account for them in traditional spectral analysis are highlighted.
Journal ArticleDOI
Nonsinusoidal beta oscillations reflect cortical pathophysiology in Parkinson's disease
Scott R. Cole,Roemer van der Meij,Erik J. Peterson,Coralie de Hemptinne,Philip A. Starr,Bradley Voytek +5 more
TL;DR: The results suggest that the pathophysiological beta generator is altered by DBS, smoothing out the beta waveform, which has implications not only for the interpretation of the physiological mechanism by which DBS reduces PD-related motor symptoms, but more broadly for the analytic toolkit in general.
Journal ArticleDOI
Cycle-by-cycle analysis of neural oscillations
Scott R. Cole,Bradley Voytek +1 more
TL;DR: A new analysis framework is presented that is complementary to existing Fourier- and Hilbert-transform based approaches that quantifies oscillatory features in the time domain, on a cycle-by-cycle basis and is validated in simulation and against experimental recordings of patients with Parkinson's disease.
Journal ArticleDOI
Characteristics of Waveform Shape in Parkinson's Disease Detected with Scalp Electroencephalography.
TL;DR: It is shown that non-sinusoidal features of β oscillation shape also distinguish PD patients on and off medication using non-invasive recordings in a dataset of 15 PD patients with resting scalp EEG, and that β oscillations over sensorimotor electrodes most often had a canonical shape.
Posted ContentDOI
Cycle-by-cycle analysis of neural oscillations
Scott R. Cole,Bradley Voytek +1 more
TL;DR: A new analysis framework is presented, complementary to Fourier analysis, that quantifies cycle-by-cycle time-domain features of neural oscillations, and is validated on simulated noisy signals with oscillatory bursts and outperforms conventional metrics.