Published: June 25, 2024
Language: Английский
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
Alzheimer s Research & Therapy, Journal Year: 2024, Volume and Issue: 16(1)
Published: Oct. 24, 2024
Biomarkers of Alzheimer's disease (AD) and mild cognitive impairment (MCI, or prodromal AD) are highly significant for early diagnosis, clinical trials treatment outcome evaluations. Electroencephalography (EEG), being noninvasive easily accessible, has recently been the center focus. However, a comprehensive understanding EEG in dementia is still needed. A primary objective this study to investigate which many characteristics could effectively differentiate between individuals with AD healthy individuals. We collected resting state data from AD, normal cognition. Two distinct preprocessing pipelines were employed reliability extracted measures across different datasets. 41 features. have also developed stand-alone software application package, Feature Analyzer, as toolbox analysis. This tool allows users extract features spanning various domains, including complexity measures, wavelet features, spectral power ratios, entropy measures. performed statistical tests differences age-matched cognitively based on density (PSD), functional connectivity. Spectral ratio such theta/alpha theta/beta ratios showed Theta was higher suggesting slowing oscillations AD; however, connectivity theta band decreased In contrast, we observed increased gamma/alpha ratio, gamma power, AD. Entropy after correcting multiple electrode comparisons did not show groups. thus catalogued AD-specific Our findings reveal that changes certain frequency bands differ The be biomarkers diagnosis measure outcome, possibly target brain stimulation.
Language: Английский
Citations
2
Journal of Neural Engineering, Journal Year: 2024, Volume and Issue: 21(3), P. 036029 - 036029
Published: May 22, 2024
This study explores the changes in organization of functional brain networks induced by performing a visuomotor integration task, as revealed noninvasive spontaneous electroencephalographic traces (EEG).
Language: Английский
Citations
0
Published: Jan. 1, 2024
Language: Английский
Citations
0
Published: June 25, 2024
Language: Английский
Citations
0