Shaping Intrinsic Neural Oscillations with Periodic Stimulation.

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Serval ID
serval:BIB_8037B8DF3D09
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Shaping Intrinsic Neural Oscillations with Periodic Stimulation.
Journal
The Journal of neuroscience : the official journal of the Society for Neuroscience
Author(s)
Herrmann C.S., Murray M.M., Ionta S., Hutt A., Lefebvre J.
ISSN
1529-2401 (Electronic)
ISSN-L
0270-6474
Publication state
Published
Issued date
11/05/2016
Peer-reviewed
Oui
Volume
36
Number
19
Pages
5328-5337
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Rhythmic brain activity plays an important role in neural processing and behavior. Features of these oscillations, including amplitude, phase, and spectrum, can be influenced by internal states (e.g., shifts in arousal, attention or cognitive ability) or external stimulation. Electromagnetic stimulation techniques such as transcranial magnetic stimulation, transcranial direct current stimulation, and transcranial alternating current stimulation are used increasingly in both research and clinical settings. Currently, the mechanisms whereby time-dependent external stimuli influence population-scale oscillations remain poorly understood. Here, we provide computational insights regarding the mapping between periodic pulsatile stimulation parameters such as amplitude and frequency and the response dynamics of recurrent, nonlinear spiking neural networks. Using a cortical model built of excitatory and inhibitory neurons, we explored a wide range of stimulation intensities and frequencies systematically. Our results suggest that rhythmic stimulation can form the basis of a control paradigm in which one can manipulate the intrinsic oscillatory properties of driven networks via a plurality of input-driven mechanisms. Our results show that, in addition to resonance and entrainment, nonlinear acceleration is involved in shaping the rhythmic response of our modeled network. Such nonlinear acceleration of spontaneous and synchronous oscillatory activity in a neural network occurs in regimes of intense, high-frequency rhythmic stimulation. These results open new perspectives on the manipulation of synchronous neural activity for basic and clinical research.
Oscillatory activity is widely recognized as a core mechanism for information transmission within and between brain circuits. Noninvasive stimulation methods can shape this activity, something that is increasingly capitalized upon in basic research and clinical practice. Here, we provide computational insights on the mechanistic bases for such effects. Our results show that rhythmic stimulation forms the basis of a control paradigm in which one can manipulate the intrinsic oscillatory properties of driven networks via a plurality of input-driven mechanisms. In addition to resonance and entrainment, nonlinear acceleration is involved in shaping the rhythmic response of our modeled network, particularly in regimes of high-frequency rhythmic stimulation. These results open new perspectives on the manipulation of synchronous neural activity for basic and clinical research.

Keywords
Action Potentials, Brain/cytology, Brain/physiology, Electric Stimulation, Electroencephalography, Humans, Models, Neurological, Neurons/physiology, Periodicity, Synaptic Potentials, dynamics, networks, oscillations, spectrum, stimulation, synchrony
Pubmed
Web of science
Open Access
Yes
Create date
17/05/2016 14:20
Last modification date
20/08/2019 14:40
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