ReviewFrontiers in neuroscience2022
Frontal and parietal lobes play crucial roles in understanding the disorder of consciousness: A perspective from electroencephalogram studies.
Review in Frontiers in neuroscience, 2022. 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 15 papers.
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Who cites it
15 citing papers in PubMed.
- Prognosis prediction of patients with disorders of consciousness based on digital twin brain models.Journal of neuroengineering and rehabilitation · 2026Article
- Dissecting real-world memory clinical cohort heterogeneity: analysis of neuroanatomical subtypes using HYDRA.Alzheimer's research & therapy · 2025Article
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Case report: Monitoring consciousness with fNIRS in a patient with prolonged reduced consciousness following hemorrhagic stroke undergoing adjunct taVNS therapy.Frontiers in neuroscience · 2025Article
- Electroencephalographic characteristics of transcutaneous auricular vagus nerve stimulation for prolonged disorders of consciousness: a study protocol.Frontiers in neuroscience · 2025Article
- Integrating qualitative and quantitative MRI analysis for optimizing DBS candidate selection in patients with disorders of consciousness.Frontiers in neurology · 2025Article
- [Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Review
- Explaining recovery from coma with multimodal neuroimaging.Journal of neurology · 2024Observational
- Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.PLoS computational biology · 2024Article
- Temporal and spatial variability of dynamic microstate brain network in disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- Spectral peak analysis and intrinsic neural timescales as markers for the state of consciousness.NeuroImage. Clinical · 2024Article
- A protocol for a multicenter randomized and personalized controlled trial using rTMS in patients with disorders of consciousness.Frontiers in neurology · 2023Article
- Evaluation of consciousness rehabilitation via neuroimaging methods.Frontiers in human neuroscience · 2023Review
- Theta-band EEG functional connectivity during emotional music in disorders of consciousness: wPLI differences between MCS and UWS.Frontiers in neurologyArticle
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Electroencephalogram (EEG) studies have established many characteristics relevant to consciousness levels of patients with disorder of consciousness (DOC). Although the frontal and parietal brain regions were often highlighted in DOC studies, their electro-neurophysiological roles in constructing human consciousness remain unclear because of the fragmented information from literatures and the complexity of EEG characteristics. Methods: Existing EEG studies of DOC patients were reviewed and summarized. Relevant findings and results about the frontal and parietal regions were filtered, compared, and concluded to clarify their roles in consciousness classification and outcomes. The evidence covers multi-dimensional EEG characteristics including functional connectivity, non-linear dynamics, spectrum power, transcranial magnetic stimulation-electroencephalography (TMS-EEG), and event-related potential. Results and conclusion: Electroencephalogram characteristics related to frontal and parietal regions consistently showed high relevance with consciousness: enhancement of low-frequency rhythms, suppression of high-frequency rhythms, reduction of dynamic complexity, and breakdown of networks accompanied with decreasing consciousness. Owing to the limitations of EEG, existing studies have not yet clarified which one between the frontal and parietal has priority in consciousness injury or recovery. Source reconstruction with high-density EEG, machine learning with large samples, and TMS-EEG mapping will be important approaches for refining EEG awareness locations.
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