Neural field theory of perceptual echo and implications for estimating brain connectivity
| Autor: | Natasha C. Gabay, T. Babaie, J. C. Pagès, K. N. Mukta, Peter A. Robinson |
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| Rok vydání: | 2018 |
| Předmět: |
Physics
Quantitative Biology::Neurons and Cognition medicine.diagnostic_test Modal analysis Echo (computing) Models Neurological Mode (statistics) Brain 01 natural sciences Transfer function Magnetic Resonance Imaging 03 medical and health sciences 0302 clinical medicine Amplitude 0103 physical sciences Line (geometry) medicine Symmetry breaking Nerve Net 010306 general physics Biological system Functional magnetic resonance imaging 030217 neurology & neurosurgery |
| Zdroj: | Physical review. E. 97(4-1) |
| ISSN: | 2470-0053 |
| Popis: | Neural field theory is used to predict and analyze the phenomenon of perceptual echo in which random input stimuli at one location are correlated with electroencephalographic responses at other locations. It is shown that this echo correlation (EC) yields an estimate of the transfer function from the stimulated point to other locations. Modal analysis then explains the observed spatiotemporal structure of visually driven EC and the dominance of the alpha frequency; two eigenmodes of similar amplitude dominate the response, leading to temporal beating and a line of low correlation that runs from the crown of the head toward the ears. These effects result from mode splitting and symmetry breaking caused by interhemispheric coupling and cortical folding. It is shown how eigenmodes obtained from functional magnetic resonance imaging experiments can be combined with temporal dynamics from EC or other evoked responses to estimate the spatiotemporal transfer function between any two points and hence their effective connectivity. |
| Databáze: | OpenAIRE |
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