UM  > INSTITUTE OF COLLABORATIVE INNOVATION
Residential Collegefalse
Status已發表Published
EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder
Ip, Cheng Teng1,2; de Bardeci, Mateo3; Kronenberg, Golo3; Pinborg, Lars Hageman2,4; Seifritz, Erich3; Brunovsky, Martin5,6; Olbrich, Sebastian3
2024-12-01
Source PublicationTranslational Psychiatry
ISSN2158-3188
Volume14Issue:1Pages:64
Abstract

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/CZ Registration number: EudraCT Number: 2013-000952-17.

DOI10.1038/s41398-024-02761-x
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:001151356600002
PublisherSPRINGERNATURE, CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Scopus ID2-s2.0-85183165962
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionINSTITUTE OF COLLABORATIVE INNOVATION
Corresponding AuthorOlbrich, Sebastian
Affiliation1.Center for Cognitive and Brain Sciences, University of Macau, Taipa, SAR, Macao
2.Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark
3.Hospital for Psychiatry, Psychotherapy and Psychosomatic; University Zurich, Zurich, Switzerland
4.Epilepsy Clinic, University Hospital Rigshospitalet, Copenhagen, Denmark
5.National Institute of Mental Health, Klecany, Czech Republic
6.Charles University, Third Faculty of Medicine, Prague, Czech Republic
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Ip, Cheng Teng,de Bardeci, Mateo,Kronenberg, Golo,et al. EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder[J]. Translational Psychiatry, 2024, 14(1), 64.
APA Ip, Cheng Teng., de Bardeci, Mateo., Kronenberg, Golo., Pinborg, Lars Hageman., Seifritz, Erich., Brunovsky, Martin., & Olbrich, Sebastian (2024). EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder. Translational Psychiatry, 14(1), 64.
MLA Ip, Cheng Teng,et al."EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder".Translational Psychiatry 14.1(2024):64.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ip, Cheng Teng]'s Articles
[de Bardeci, Mateo]'s Articles
[Kronenberg, Golo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ip, Cheng Teng]'s Articles
[de Bardeci, Mateo]'s Articles
[Kronenberg, Golo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ip, Cheng Teng]'s Articles
[de Bardeci, Mateo]'s Articles
[Kronenberg, Golo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.