RT Journal Article
T1 Brain sources composing irregular field potentials have unique temporal signatures
A1 Muñoz Arnaiz, Ricardo
A1 Makarova, Julia
A1 Makarov Slizneva, Valeriy
A1 Herreras, Oscar
AB The prevailing irregular pattern of field potentials is little used due to the uncertain origin and identity of the source populations. After recovering clean source-specific dynamics (field potential-generators) in multiple brain areas of anesthetized rats we explored if they contain temporal identity features and to what extent they remain upon blending in the volume (raw field potentials). Relevant factors and mechanisms were further explored through a feed-forward model of field potentials. Signals were characterized with a multivariate set of statistical, spectral and nonlinear measures and explored with machine-learning classifiers. Despite the strong variability of electrographic patterns, field potential generators exhibit unique temporal signatures that allow their discrimination. Signatures are contained in 1 to 5 s segments in any given brain region and are robust across groups of animals. In contrast, the spatial overlap of sources and the contribution by remote potentials cause indeterminacy of raw field potentials, making them approach anoisy behavior. The so revealed source-specific signatures contain spectral and nonlinear features, thus overcoming the traditional notion of waves and frequency bands. We propose that besides upstream dynamics cytoarchitectural factors of the source population contribute to these unique signatures. These findings pave the way to utilize the vast reserve of information contained in irregular field potentials.
PB Oxford University Press
YR 2025
FD 2025
LK https://hdl.handle.net/20.500.14352/130216
UL https://hdl.handle.net/20.500.14352/130216
LA eng
NO Ministerio de Ciencia e Innovación
NO European Commission
NO Agencia Estatal de Evaluación
NO Comunidad Autónoma de Madrid
DS Docta Complutense
RD 20 ene 2026