EEG-vigilance and the autonomic nervous system

Olbrich, Sebastian; Sander, C; Trenner, M; Matschinger, H; Schönknecht, Peter; Hegerl, Ulrich

doi:10.1055/s-0030-1250934

Cited by 2 publications

(2 citation statements)

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“…Other studies have reported increased fast oscillations following ketamine administration [50] and some have reported increased EEG beta power during treatment with ketamine during a status epilepticus [51]. Since EEG vigilance stage B1 is defined as a low voltage EEG with prevailing EEG beta activity and loss of alpha activity [52], the findings of increased stages B1 are in line with the literature [53]. This decline of vigilance was observed in both responders and non-responders.…”

Section: Discussionsupporting

confidence: 72%

EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder

Ip,

de Bardeci,

Kronenberg

et al. 2024

Transl Psychiatry

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Ketamine offers promising new therapeutic options for difficult-to-treat depression. The efficacy of treatment response, including ketamine, has been intricately linked to EEG measures of vigilance. This research investigated the interplay between intravenous ketamine and alterations in brain arousal, quantified through EEG vigilance assessments in two distinct cohorts of depressed patients (original dataset: n = 24; testing dataset: n = 24). Clinical response was defined as a decrease from baseline of >33% on the Montgomery–Åsberg Depression Rating Scale (MADRS) 24 h after infusion. EEG recordings were obtained pre-, start-, end- and 24 h post- infusion, and the resting EEG was automatically scored using the Vigilance Algorithm Leipzig (VIGALL). Relative to placebo (sodium chloride 0.9%), ketamine increased the amount of low-vigilance stage B1 at end-infusion. This increase in B1 was positively related to serum concentrations of ketamine, but not to norketamine, and was independent of clinical response. In contrast, treatment responders showed a distinct EEG pattern characterized by a decrease in high-vigilance stage A1 and an increase in low-vigilance B2/3, regardless of whether placebo or ketamine had been given. Furthermore, pretreatment EEG differed between responders and non-responders with responders showing a higher percentage of stage A1 (53% vs. 21%). The logistic regression fitted on the percent of A1 stages was able to predict treatment outcomes in the testing dataset with an area under the ROC curve of 0.7. Ketamine affects EEG vigilance in a distinct pattern observed only in responders. Consequently, the percentage of pretreatment stage A1 shows significant potential as a predictive biomarker of treatment response.Clinical Trials Registration:https://www.clinicaltrialsregister.eu/ctr-search/trial/2013-000952-17/CZRegistration number: EudraCT Number: 2013-000952-17.

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Section: Discussionsupporting

confidence: 72%

EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder

Ip,

de Bardeci,

Kronenberg

et al. 2024

Transl Psychiatry

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“…Until now, the vast majority of studies investigating the processes underpinning the global signal have probed its physiological or neural origins separately. The neurally-related fraction of the global signal has been associated to fluctuations in arousal and vigilance, likely regulated by the autonomic nervous system (Oken et al, 2006; Olbrich et al, 2011). However, these apparent neural fluctuations could also be associated with changes in systemic physiological quantities such as heart rate and breathing, which can in turn influence the fMRI signal.…”

Section: Introductionmentioning

confidence: 99%

Does global signal regression alter fMRI connectivity patterns related to EEG activity? An EEG-fMRI study in humans

Xifra-Porxas,

Kassinopoulos,

Prokopiou

et al. 2024

Preprint

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Functional brain connectivity measures extracted from resting-state functional magnetic resonance imaging (fMRI) scans have generated wide interest as potential noninvasive biomarkers. In this context, performing global signal regression (GSR) as a preprocessing step remains controversial. Specifically, while it has been shown that a considerable fraction of global signal variations is associated with physiological and motion sources, GSR may also result in removing neural activity. Here, we address this question by examining the fundamental sources of resting global signal fluctuations using simultaneous electroencephalography (EEG)-fMRI data combined with cardiac and breathing recordings. Our results suggest that systemic physiological fluctuations account for a significantly larger fraction of global signal variability compared to electrophysiological fluctuations. Furthermore, we show that GSR reduces artifactual connectivity due to heart rate and breathing fluctuations, but preserves connectivity patterns associated with electrophysiological activity within the alpha and beta frequency ranges. Overall, these results provide evidence that the neural component of resting-state fMRI-based connectivity is preserved after the global signal is regressed out.

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EEG-vigilance and the autonomic nervous system

Cited by 2 publications

References 0 publications

EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder

EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder

Does global signal regression alter fMRI connectivity patterns related to EEG activity? An EEG-fMRI study in humans

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