Multi-parametric spectral modeling disentangles synaptic kinetics and neural excitability from non-invasive electrophysiological recordings

Authors

Philippe, V., Tombroff, L., Akbarian, F., De Witte, S., Trotta, N., Van Schependom, J., Engelborghs, S., Bier, J.-C., Strauss, M., De Tiege, X., Wens, V.

Abstract

Spectral modeling of electrophysiological recordings enables non-invasive characterization of neural excitability. However, current approaches rely on a single spectral index, limiting insight into the multiple biophysical processes underlying excitation-inhibition balance. Here, we introduce a biologically informed, multi-parametric spectral analysis that disentangles neural excitability and synaptic kinetics from recordings. As a proof of concept, we demonstrate that this approach captures signatures of hyperexcitability and glutamate reuptake dysfunction characteristic of Alzheimer's disease.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 19 Oct 2026.

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