ArticleNeural plasticity2023
Electroencephalogram-Based Brain Connectivity Analysis in Prolonged Disorders of Consciousness.
Article in Neural plasticity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational predictive processing models of consciousness: a systematic review of non-invasive brain signal analysis in disorders of consciousness.Frontiers in computational neuroscience · 2026Pooled it
- Dynamic Global and Local Enhancement of Theta-Band Functional Networks as Neural Markers of Spinal Cord Stimulation Efficacy in Disorders of Consciousness.CNS neuroscience & therapeutics · 2026Article
- Retrospective evaluation of transcranial magnetic stimulation for enhancing arousal in patients with minimally conscious state: a single-centre study in Inner Mongolia, China.Frontiers in psychiatry · 2026Article
- Linking cognitive reserve to neuropsychological outcomes and resting-state frequency bands in healthy aging.Frontiers in aging neuroscience · 2025Article
- Electroencephalogram prediction of propofol effects on neuromodulation in disorders of consciousness.Frontiers in neurology · 2025Article
- Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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Abstract
Background: Prolonged disorders of consciousness (pDOC) are common in neurology and place a heavy burden on families and society. This study is aimed at investigating the characteristics of brain connectivity in patients with pDOC based on quantitative EEG (qEEG) and extending a new direction for the evaluation of pDOC. Methods: Participants were divided into a control group (CG) and a DOC group by the presence or absence of pDOC. Participants underwent magnetic resonance imaging (MRI) T1 three-dimensional magnetization with a prepared rapid acquisition gradient echo (3D-T1-MPRAGE) sequence, and video EEG data were collected. After calculating the power spectrum by EEG data analysis tool, DTABR (( Results: The proportion of power in frontal, central, parietal, and temporal regions in the DOC group was lower than that in the CG. The percentage of delta power in the DOC group was significantly higher than that in the CG, the DTABR in the DOC group was higher than that in the CG, and the value was inverted. The Pearson Conclusion: Brain connectivity analysis based on EEG has the advantages of being noninvasive, convenient, and bedside. The Pearson
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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.