Evidence map›Paper›PMID 37679900›Full record

ArticleCNS neuroscience & therapeutics2024

Effect of topographic comparison of electroencephalographic microstates on the diagnosis and prognosis prediction of patients with prolonged disorders of consciousness.

Yi Ling, Xinrui Wen, Jianghui Tang, Zhengde Tao, Liping Sun, Hailiang Xin, Benyan Luo

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yi LingDepartment of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0002-9246-8844
Xinrui WenDepartment of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jianghui TangZhejiang Provincial Key Laboratory of Pancreatic Disease, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, China.
Zhengde TaoDepartment of Neurology, First People's Hospital of Wenling, Zhejiang, China.ORCID 0000-0002-9234-0090
Liping SunDepartment of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hailiang XinDepartment of Rehabilitation, Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China.
Benyan LuoDepartment of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0002-9892-5778

Funding

China Brain Project 2021ZD0200404The National Natural Science Foundation of China 82071173The National Natural Science Foundation of China U22A20293
6 · The paper itself

Abstract

aimsThe electroencephalography (EEG) microstates are indicative of fundamental information processing mechanisms, which are severely damaged in patients with prolonged disorders of consciousness (pDoC). We aimed to improve the topographic analysis of EEG microstates and explore indicators available for diagnosis and prognosis prediction of patients with pDoC, which were still lacking.

methodsWe conducted EEG recordings on 59 patients with pDoC and 32 healthy controls. We refined the microstate method to accurately estimate topographical differences, and then classify and forecast the prognosis of patients with pDoC. An independent dataset was used to validate the conclusion.

resultsThrough optimized topographic analysis, the global explained variance (GEV) of microstate E increased significantly in groups with reduced levels of consciousness. However, its ability to classify the VS/UWS group was poor. In addition, the optimized GEV of microstate E exhibited a statistically significant decrease in the good prognosis group as opposed to the group with a poor prognosis. Furthermore, the optimized GEV of microstate E strongly predicted a patient's prognosis.

conclusionThis technique harmonizes with the existing microstate analysis and exhibits precise and comprehensive differences in microstate topography between groups. Furthermore, this method has significant potential for evaluating the clinical prognosis of pDoC patients.

Indexed as

BrainConsciousnessConsciousness DisordersElectroencephalographyHumansPrognosisdiagnosisEEGmicrostatesprognosisprolonged disorders of consciousnesstopographic difference

Identifiers

PMID37679900
PMCPMC10915977

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.