ReviewFrontiers in neurology2017
A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness.
Review in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Beside Resting-State EEG in the Diagnosis and Prognosis of Patients with Disorders of Consciousness.Diagnostics (Basel, Switzerland) · 2026Article
- [Guangdong consensus on integrated Chinese and Western medicine management of prolonged disorders of consciousness].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Microstate permutation complexity of EEG signals distinguishes minimally conscious state plus from minimally conscious state minus.Journal of neuroengineering and rehabilitation · 2026Article
- EEG hemispheric asymmetry and behavioral responsiveness following rTMS in unresponsive wakefulness syndrome: an exploratory study.Journal of neuroengineering and rehabilitation · 2026Article
- Amantadine Reshapes Brain Oscillatory Dynamics in Pediatric Disorders of Consciousness.Neural plasticity · 2026Article
- Perspectives, attitudes and experiences of introducing noninvasive medical technologies in end-of-life care: a scoping review.BMC palliative care · 2025Article
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- Effects of a Gluten-Free Diet on Brain Bioelectrical Activity and Neurological Symptoms in Children with Celiac Disease: A Study Using EEG Assessment.Journal of clinical medicine · 2025Article
- Electroencephalogram prediction of propofol effects on neuromodulation in disorders of consciousness.Frontiers in neurology · 2025Article
- Prefrontal electrophysiological biomarkers and mechanism-based drug effects in a rat model of alcohol addiction.Translational psychiatry · 2024Article
- Acoustic-electric trigeminal-nerve stimulation enhances functional connectivity in patients with disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- Breakdown of oscillatory effective networks in disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- Variability of large timescale functional networks in patients with disorders of consciousness.Frontiers in neurology · 2024Article
- Distinct Spectral Profiles of Awake Resting EEG in Disorders of Consciousness: The Role of Frequency and Topography of Oscillations.Brain topography · 2024Article
- Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning.Scientific reports · 2023Article
- Technical and clinical considerations for electroencephalography-based biomarkers for major depressive disorder.Npj mental health research · 2023Review
- Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice.eLife · 2023Article
- Aberrant temporal correlations of ongoing oscillations in disorders of consciousness on multiple time scales.Cognitive neurodynamics · 2023Article
- Beyond alpha power: EEG spatial and spectral gradients robustly stratify disorders of consciousness.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Sleep in Disorders of Consciousness: A Brief Overview on a Still under Investigated Issue.Brain sciences · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, neuroimaging technologies have been developed as important methods for assessing the brain condition of patients with disorders of consciousness (DOC). Among these technologies, resting-state electroencephalography (EEG) recording and analysis has been widely applied by clinicians due to its relatively low cost and convenience. EEG reflects the electrical activity of the underlying neurons, and it contains information regarding neuronal population oscillations, the information flow pathway, and neural activity networks. Some features derived from EEG signal processing methods have been proposed to describe the electrical features of the brain with DOC. The computation of these features is challenging for clinicians working to comprehend the corresponding physiological meanings and then to put them into clinical applications. This paper reviews studies that analyze spontaneous EEG of DOC, with the purpose of diagnosis, prognosis, and evaluation of brain interventions. It is expected that this review will promote our understanding of the EEG characteristics in DOC.
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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.