Excitation and Inhibition Balance Underlying Epileptiform Activity

Yuhan Liu, Vasily Grigorovsky, Berj L. Bardakjian

IEEE Transactions on Biomedical Engineering · 2020 · 20 citations · 42 references

Abstract

A rapid rise followed by a slow decay of dominant frequency was observed in iEEG recordings of ictal periods and reproduced in the simulated local field potential by changing the E/I balance of the model network. The rate of this dominant frequency evolution was quantified by a single measure, β, which was found to have a significant rank correlation with the duration of PGES in iEEG data and the rate of E/I balance shift in the model. Significance and Conclusion: (i) highlighting the importance of E/I balance in the dynamics of seizure and PGES; (ii) suggesting the measure, β, as a marker for PGES and the shift in E/I balance as a neural correlate for this marker.

References

42