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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
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Nonlinear Origin of SSVEP Spectra-A Combined Experimental and Modeling Study
Maciej Labecki1, Rafal Kus1, Alicja Brzozowska1
1Biomedical Physics Division, Faculty of Physics, Institute of Experimental Physics, University of Warsaw Warsaw, Poland.
Frontiers in Computational Neuroscience
|January 14, 2017
Summary
Steady state visual evoked potentials (SSVEPs) arise from brain activity in response to visual flicker. This study explains that SSVEP harmonics and subharmonics originate from the nonlinear and resonant properties of neural networks.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Biophysics
Background:
- Steady state visual evoked potentials (SSVEPs) are brain responses to visual flicker.
- Their harmonic and subharmonic components are not fully understood.
- Understanding these components can reveal insights into neural processing.
Purpose of the Study:
- Investigate the origin of harmonic and subharmonic components in SSVEPs.
- Clarify the relationship between stimulation, neural activity, and SSVEP spectra.
- Validate a neural mass model for SSVEP generation.
Main Methods:
- Applied sine and square wave visual stimulation (5 and 15 Hz) to human subjects.
- Analyzed fundamental and harmonically related SSVEP components.
- Utilized a computational neural mass model of interacting neuronal populations.
Main Results:
- The neural mass model explained the origin of SSVEP spectra.
- Harmonic and subharmonic SSVEP components arise from neural nonlinearity and network resonance.
- Model predictions of subharmonic multiples were experimentally confirmed.
Conclusions:
- Neural nonlinearity and network resonance are key to generating SSVEP harmonic and subharmonic components.
- The neural mass model effectively explains SSVEP generation.
- This work advances our understanding of neural oscillations and evoked potentials.
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