Neural field model of seizure-like activity in isolated cortex
Journal of Computational Neuroscience, ISSN: 1573-6873, Vol: 42, Issue: 3, Page: 307-321
2017
- 2Citations
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations2
- Citation Indexes2
- CrossRef1
- Captures9
- Readers9
Article Description
Epileptiform discharges on an isolated cortex are explored using neural field theory. A neural field model of the isolated cortex is used that consists of three neural populations, excitatory, inhibitory, and excitatory bursting. Mechanisms by which an isolated cortex gives rise to seizure-like waveforms thought to underly pathological EEG waveforms on the deafferented cortex are explored. It is shown that the model reproduces similar time series and oscillatory frequencies for paroxysmal discharges when compared with physiological recordings both during acute and chronic deafferentation states. Furthermore, within our model ictal activity arises from perturbations to steady-states very close to the dynamical system’s instability boundary; hence, these are distinct from corticothalamic seizures observed in the model for the intact brain which involved limit-cycle dynamics. The results are applied to experiments in deafferented cats.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85017135881&origin=inward; http://dx.doi.org/10.1007/s10827-017-0642-z; http://www.ncbi.nlm.nih.gov/pubmed/28389715; http://link.springer.com/10.1007/s10827-017-0642-z; https://dx.doi.org/10.1007/s10827-017-0642-z; https://link.springer.com/article/10.1007/s10827-017-0642-z
Springer Science and Business Media LLC
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