ArticleCNS neuroscience & therapeutics2023
The temporal dynamics of Large-Scale brain network changes in disorders of consciousness: A Microstate-Based study.
Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 29 citations in OpenAlex.
- Dynamic, state-dependent characteristics of cognitive fluctuations in Lewy body dementia: a magnetoencephalography study.Brain communications · 2026Article
- From fragmented neurotechnologies to closed-loop brain health systems: integrating artificial intelligence, digital health, digital twins, and advanced materials for brain disorders.Frontiers in bioengineering and biotechnology · 2026Article
- Modulation of consciousness in disorders of consciousness by HD-tDCS targeting frontal and posterior cortical regions.Scientific reports · 2025Article
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- Article
- Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness.Frontiers in neuroscience · 2025Article
- Effect of topographic comparison of electroencephalographic microstates on the diagnosis and prognosis prediction of patients with prolonged disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- The Constrained Disorder Principle May Account for Consciousness.Brain sciences · 2024Review
- Temporal and spatial variability of dynamic microstate brain network in disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- Establishment and validation of a bad outcomes prediction model based on EEG and clinical parameters in prolonged disorder of consciousness.Frontiers in human neuroscience · 2024Article
- Resting-state EEG microstates as electrophysiological biomarkers in post-stroke disorder of consciousness.Frontiers in neuroscience · 2023Article
- Dysfunctional connectivity as a neurophysiologic mechanism of disorders of consciousness: a systematic review.Frontiers in neuroscience · 2023Review
- EEG microstate changes during hyperbaric oxygen therapy in patients with chronic disorders of consciousness.Frontiers in neuroscience · 2023Article
- The temporal dynamics of Large-Scale brain network changes in disorders of consciousness: A Microstate-Based study.CNS neuroscience & therapeutics · 2023Article
- The accuracy of different mismatch negativity amplitude representations in predicting the levels of consciousness in patients with disorders of consciousness.Frontiers in neuroscience · 2023Article
- Dynamic Changes of Brain Activity in Different Responsive Groups of Patients with Prolonged Disorders of Consciousness.Brain sciences · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesThe resting-state brain is composed of several discrete networks, which remain stable for 10-100 ms. These functional microstates are considered the building blocks of spontaneous consciousness. Electroencephalography (EEG) microstate analysis may provide insight into the altered brain dynamics underlying consciousness recovery in patients with disorders of consciousness (DOC). We aimed to analyze microstates in the resting-state EEG source space in patients with DOC, the relationship between state-specific features and consciousness levels, and the corresponding patterns of microstates and functional networks.
methodsWe obtained resting-state EEG data from 84 patients with DOC (27 in a minimally conscious state [MCS] and 57 in a vegetative state [VS] or with unresponsive wakefulness syndrome). We conducted a microstate analysis of the resting-state (EEG) source space and developed a state-transition analysis protocol for patients with DOC.
resultsWe identified seven microstates with distinct spatial distributions of cortical activation. Multivariate pattern analyses revealed that different functional connectivity patterns were associated with source-level microstates. There were significant differences in the microstate properties, including spatial activation patterns, temporal dynamics, state shifts, and connectivity construction, between the MCS and VS groups. DISCUSSION: Our findings suggest that consciousness depends on complex dynamics within the brain and may originate from the anterior cortex.
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