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Evoked response activity eigenmode analysis in a convoluted cortex via neural field theory
K N Mukta1,2, P A Robinson1,2, J C Pagès1,2,3
1School of Physics, University of Sydney, New South Wales 2006, Australia.
Physical Review. E
|January 20, 2021
Summary
Neural field theory models evoked response potentials (ERPs) on cortical models. Cortical folding affects ERPs, but a few modes capture key features, with peaks decreasing with distance from the stimulus.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Theoretical Neuroscience
Background:
- The corticothalamic system's neural dynamics are complex.
- Understanding evoked response potentials (ERPs) is crucial for brain function studies.
- Neural field theory provides a framework for modeling large-scale neural activity.
Purpose of the Study:
- To investigate evoked response potentials (ERPs) using neural field theory.
- To compare ERPs on convoluted versus spherical cortical models.
- To determine the influence of cortical geometry on neural responses.
Main Methods:
- Applied neural field theory to model the corticothalamic system.
- Calculated eigenfunctions analytically on a spherical cortex.
- Computed eigenfunctions numerically on a convoluted cortex using eigenfunction expansions.
Main Results:
- Eigenmodes on convoluted and spherical cortices show similarities.
- A few eigenmodes were sufficient to replicate major ERP features.
- ERP peak amplitude decreased monotonically with distance from the stimulus point.
- Cortical folding introduced spatial variations in ERPs, deviating from spherical symmetry.
Conclusions:
- Neural field theory effectively models ERPs in both spherical and convoluted cortices.
- Cortical geometry significantly influences ERP spatial patterns.
- Despite differences, simplified spherical models offer insights into complex cortical dynamics.
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