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
Reads0
Chats0
TLDR
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.Abstract:
Oscillations in neural activity play a critical role in neural computation and communication. There is intriguing new evidence that the nonsinusoidal features of the oscillatory waveforms may inform underlying physiological and pathophysiological characteristics. Time-domain waveform analysis approaches stand in contrast to traditional Fourier-based methods, which alter or destroy subtle waveform features. Recently, it has been shown that the waveform features of oscillatory beta (13-30 Hz) events, a prominent motor cortical oscillation, may reflect near-synchronous excitatory synaptic inputs onto cortical pyramidal neurons. Here we analyze data from invasive human primary motor cortex (M1) recordings from patients with Parkinson's disease (PD) implanted with a deep brain stimulator (DBS) to test the hypothesis that the beta waveform becomes less sharp with DBS, suggesting that M1 input synchrony may be decreased. We find that, in PD, M1 beta oscillations have sharp, asymmetric, nonsinusoidal features, specifically asymmetries in the ratio between the sharpness of the beta peaks compared with the troughs. This waveform feature is nearly perfectly correlated with beta-high gamma phase-amplitude coupling (r = 0.94), a neural index previously shown to track PD-related motor deficit. Our results suggest that the pathophysiological beta generator is altered by DBS, smoothing out the beta waveform. This has implications not only for the interpretation of the physiological mechanism by which DBS reduces PD-related motor symptoms, but more broadly for our analytic toolkit in general. That is, the often-overlooked time-domain features of oscillatory waveforms may carry critical physiological information about neural processes and dynamics.SIGNIFICANCE STATEMENT To better understand the neural basis of cognition and disease, we need to understand how groups of neurons interact to communicate with one another. For example, there is evidence that parkinsonian bradykinesia and rigidity may arise from an oversynchronization of afferents to the motor cortex, and that these symptoms are treatable using deep brain stimulation. Here we show that the waveform shape of beta (13-30 Hz) oscillations, which may reflect input synchrony onto the cortex, is altered by deep brain stimulation. This suggests that mechanistic inferences regarding physiological and pathophysiological neural communication may be made from the temporal dynamics of oscillatory waveform shape.read more
Citations
More filters
Posted ContentDOI
Parameterizing neural power spectra
Matar Haller,Thomas Donoghue,Erik J. Peterson,Paroma Varma,Priyadarshini Sebastian,Richard Gao,Torben Noto,Rob Knight,Rob Knight,Avgusta Y. Shestyuk,Bradley Voytek +10 more
TL;DR: A novel algorithm for automatic parameterization of neural power spectral densities (PSDs) as a combination of the aperiodic signal and putative periodic oscillations is introduced, requiring no a priori specification of band limits and accounts for potentially-overlapping oscillations while minimizing the degree to which they are confounded with one another.
Journal ArticleDOI
The Generation and Propagation of the Human Alpha Rhythm
Milan Halgren,István Ulbert,István Ulbert,Hélène Bastuji,Dániel Fabó,Loránd Eross,Marc Rey,Orrin Devinsky,Werner Doyle,Rachel A. Mak-McCully,Eric Halgren,Lucia Wittner,Patrick Chauvel,Gary Heit,Emad N. Eskandar,Arnold J. Mandell,Sydney S. Cash +16 more
TL;DR: Using rare intracranial recordings in epilepsy patients, it is found that alpha rhythms propagate toward the back of the brain and that alpha waves in cortex (particularly superficial layers) lead alpha oscillations in the thalamus, shedding light on how the human alpha rhythm coordinates activity throughout the brain.
Journal ArticleDOI
International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies
Claudio Babiloni,Robert J. Barry,Erol Başar,Katarzyna J. Blinowska,Andrzej Cichocki,Wilhelmus Drinkenburg,Wolfgang Klimesch,Rob Knight,Fernando H. Lopes da Silva,Paul L. Nunez,Robert Oostenveld,Jaeseung Jeong,Roberto D. Pascual-Marqui,Pedro A. Valdes-Sosa,Mark Hallett +14 more
TL;DR: A Workgroup of IFCN experts presents unanimous recommendations on the following procedures relevant for the topographic and frequency analysis of resting state EEGs (rsEEGs) in clinical research, and endorsed the use of the most promising "synchronization" and "connectivity" features for clinical research.
Journal ArticleDOI
Beta Oscillations in Working Memory, Executive Control of Movement and Thought, and Sensorimotor Function
Robert Schmidt,María Herrojo Ruiz,María Herrojo Ruiz,Bjørg Elisabeth Kilavik,Mikael Lundqvist,Philip A. Starr,Adam R. Aron +6 more
TL;DR: The function of beta oscillations is unlikely to be explained by any single monolithic description, and several convergent findings are discussed, including emerging research on different frequencies of beta and the relationship between beta and single-neuron spiking.
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.
References
More filters
Journal ArticleDOI
Neuronal Oscillations in Cortical Networks
György Buzsáki,Andreas Draguhn +1 more
TL;DR: Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.
Book
Rhythms of the brain
TL;DR: The brain's default state: self-organized oscillations in rest and sleep, and perturbation of the default patterns by experience.
Journal ArticleDOI
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence
Pascal Fries,Pascal Fries +1 more
TL;DR: It is hypothesized that neuronal communication is mechanistically subserved by neuronal coherence, and a flexible pattern of coherence defines a flexible communication structure, which subserves the authors' cognitive flexibility.
Journal ArticleDOI
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
TL;DR: High-density recordings of field activity in animals and subdural grid recordings in humans can provide insight into the cooperative behaviour of neurons, their average synaptic input and their spiking output, and can increase the understanding of how these processes contribute to the extracellular signal.
Journal ArticleDOI
Dynamic predictions: Oscillations and synchrony in top–down processing
TL;DR: It is argued that coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.