ReviewFrontiers in neuroscience2019
Computational Methods for Resting-State EEG of Patients With Disorders of Consciousness.
Review in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Analysis of the microstates of prolonged disorders of consciousness.Frontiers in neurology · 2025Article
- EEG spectral power in developmental coordination disorder and attention-deficit/hyperactivity disorder: a pilot study.Frontiers in psychology · 2024Article
- Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness.Frontiers in neuroscience · 2024Article
- Beyond alpha power: EEG spatial and spectral gradients robustly stratify disorders of consciousness.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Quantitative Electroencephalography Analysis for Improved Assessment of Consciousness Levels in Deep Coma Patients Using a Proposed Stimulus Stage.Diagnostics (Basel, Switzerland) · 2023Article
- Electroencephalogram-Based Brain Connectivity Analysis in Prolonged Disorders of Consciousness.Neural plasticity · 2023Article
- Evaluating the Alterations Induced by Virtual Reality in Cerebral Small-World Networks Using Graph Theory Analysis with Electroencephalography.Brain sciences · 2022Article
- Article
- Stimulation-related modifications of evolving functional brain networks in unresponsive wakefulness.Scientific reports · 2022Article
- EEG functional connectivity is sensitive for nitrogen narcosis at 608 kPa.Scientific reports · 2022Article
- Narrative Review: Quantitative EEG in Disorders of Consciousness.Brain sciences · 2021Review
- Functional Connectivity Analysis on Resting-State Electroencephalography Signals Following Chiropractic Spinal Manipulation in Stroke Patients.Brain sciences · 2020Article
- EEG Assessment in a 2-Year-Old Child with Prolonged Disorders of Consciousness: 3 Years' Follow-up.Computational intelligence and neuroscience · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients who survive brain injuries may develop Disorders of Consciousness (DOC) such as Coma, Vegetative State (VS) or Minimally Conscious State (MCS). Unfortunately, the rate of misdiagnosis between VS and MCS due to clinical judgment is high. Therefore, diagnostic decision support systems aiming to correct any differentiation between VS and MCS are essential for the characterization of an adequate treatment and an effective prognosis. In recent decades, there has been a growing interest in the new EEG computational techniques. We have reviewed how resting-state EEG is computationally analyzed to support differential diagnosis between VS and MCS in view of applicability of these methods in clinical practice. The studies available so far have used different techniques and analyses; it is therefore hard to draw general conclusions. Studies using a discriminant analysis with a combination of various factors and reporting a cut-off are among the most interesting ones for a future clinical application.
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