The accuracy of different mismatch negativity amplitude representations in predicting the levels of consciousness in patients with disorders of consciousness
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Introduction The mismatch negativity (MMN) index has been used to evaluate consciousness levels in patients with disorders of consciousness (DoC). Indeed, MMN has been validated for the diagnosis of vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS). In this study, we evaluated the accuracy of different MMN amplitude representations in predicting levels of consciousness. Methods Task-state electroencephalography (EEG) data were obtained from 67 patients with DoC (35 VS and 32 MCS). We performed a microstate analysis of the task-state EEG and used four different representations (the peak amplitude of MMN at electrode Fz (Peak), the average amplitude within a time window −25– 25 ms entered on the latency of peak MMN component (Avg for peak ± 25 ms), the average amplitude of averaged difference wave for 100–250 ms (Avg for 100–250 ms), and the average amplitude difference between the standard stimulus (“S”) and the deviant stimulus (“D”) at the time corresponding to Microstate 1 (MS1) (Avg for MS1) of the MMN amplitude to predict the levels of consciousness. Results The results showed that among the four microstates clustered, MS1 showed statistical significance in terms of time proportion during the 100–250 ms period. Our results confirmed the activation patterns of MMN through functional connectivity analysis. Among the four MMN amplitude representations, the microstate-based representation showed the highest accuracy in distinguishing different levels of consciousness in patients with DoC (AUC = 0.89). Conclusion We discovered a prediction model based on microstate calculation of MMN amplitude can accurately distinguish between MCS and VS states. And the functional connection of the MS1 is consistent with the activation mode of MMN.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- The accuracy of different mismatch negativity amplitude representations in predicting the levels of consciousness in patients with disorders of consciousness
- Date Crossref
- 21/12/2023
- Éditeur
- Frontiers Media SA
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Jilin University Department of Neurosurgery pays non établi dans la noticeUniversité ou école supérieure
-
First Hospital of Jilin University pays non établi dans la noticeÉtablissement de santé
-
People 's Hospital of Jilin Province pays non établi dans la noticeÉtablissement de santé
-
Qilu Hospital of Shandong University Department of Neurosurgery pays non établi dans la noticeÉtablissement de santé
-
Fifth Affiliated Hospital of Zhengzhou University Department of Neurosurgery pays non établi dans la noticeÉtablissement de santé
-
Chinese PLA General Hospital pays non établi dans la noticeÉtablissement de santé
-
People's Liberation Army No. 150 Hospital pays non établi dans la noticeÉtablissement de santé
-
Guangxi Zhuang Autonomous Region Brain Hospital pays non établi dans la noticeÉtablissement de santé
-
Jilin Province People's Hospital Department of Endocrinology pays non établi dans la noticeÉtablissement de santé
-
Siping Central People's Hospital Department of Neurosurgery pays non établi dans la noticeÉtablissement de santé
-
The First Medical Center of People's Liberation Army (PLA) General Hospital Department of Neurosurgery pays non établi dans la noticeÉtablissement de santé
-
The Seventh Medical Center of Liberation Army (PLA) General Hospital Department of Neurosurgery pays non établi dans la noticeÉtablissement de santé
Department of Neurosurgery — Jilin University, First Hospital of Jilin University et People 's Hospital of Jilin Province, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.