From local activation to global synchronisation: Methodological challenges of M/EEG analysis for biomedical applications DOI

Víctor Rodríguez González

Published: Jan. 1, 2024

I am truly thankful for the invaluable opportunity to be a part of your hospitals few

Language: Английский

How do the resting EEG preprocessing states affect the outcomes of postprocessing? DOI Creative Commons
Shiang Hu,

Jie Ruan,

Pedro A. Valdés‐Sosa

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121122 - 121122

Published: March 1, 2025

Plenty of artifact removal tools and pipelines have been developed to correct the resting EEG waves discover scientific values behind. Without expertised visual inspection, it is susceptible derive improper preprocessing, resulting in either insufficient preprocessed (IPE) or excessive (EPE). However, little known about impacts IPE EPE on postprocessing temporal, frequency, spatial domains, particularly as spectra functional connectivity analysis. Here, clean (CE) with linear quasi-stationary assumption was synthesized ground truth based New-York head model multivariate autoregressive model. Later, were simulated by injecting Gaussian noise losing brain components, respectively. Spectral homogeneities all EEGs evaluated proposed Parallel LOg Spectra index (PaLOSi). Then, quantified IPE/EPE deviation from CE temporal statistics, multichannel power, cross spectra, scalp network properties, source dispersion. Lastly, association between PaLOSi varying trends outcomes analyzed evolutionary preprocessing states. We found that compared CE: 1) (EPE) statistics deviated more greatly injected (brain activities discarded); 2) power higher (lower), almost parallel across frequencies, while decreased frequencies; than EPE, except for β band; 3) derived 7 coupling measures, had lower (higher) transmission efficiency worse (better) integration ability; 4) sources distributed dispersedly greater strength activated focally amplitudes; 5) consistently correlated investigated both real data. This study shed light how are affected states a promising quality control metric creating normative databases.

Language: Английский

Citations

0
A Python toolbox for neural circuit parameter inference DOI Creative Commons
Alfonso Valero, Victor Rodríguez-González, Noemi Montobbio

et al.

npj Systems Biology and Applications, Journal Year: 2025, Volume and Issue: 11(1)

Published: May 9, 2025

Language: Английский

Citations

0
From local activation to global synchronisation: Methodological challenges of M/EEG analysis for biomedical applications DOI

Víctor Rodríguez González

Published: Jan. 1, 2024

I am truly thankful for the invaluable opportunity to be a part of your hospitals few

Language: Английский

Citations

0