ReviewSeminars in neurology2017
Functional Networks in Disorders of Consciousness.
Review in Seminars in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03504709 (Advanced MRI and EEG to Predict Recovery of Consciousness After Severe Traumatic Brain Injury), which is not on this map. Cited by 51 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Advanced MRI and EEG to Predict Recovery of Consciousness After Severe Traumatic Brain Injury
Who cites it
51 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of non-invasive brain stimulation on arousal and alertness among traumatic brain injury patients with disorders of consciousness or persistent vegetative State: a systematic review.Acta neurologica Belgica · 2025Pooled it
- Functional brain alterations in COVID-19 patients using resting-state fMRI: a systematic review.Brain imaging and behavior · 2024Pooled it
- Multimodal prediction of residual consciousness in the intensive care unit: the CONNECT-ME study.Brain : a journal of neurology · 2023Trial
- Changes in the Default Mode Network and Recovery of Impaired Consciousness in Traumatic Brain Injury: A Case Series.Diagnostics (Basel, Switzerland) · 2026Article
- The role of coupling among brain regions between the default mode network and the "Mesocircuit" Model in arousal in disorders of consciousness.Frontiers in neurology · 2026Article
- Emerging issues in the management of patients with disorders of consciousness.Journal of neurology · 2025Review
- Functional connectivity in whole-brain and network analysis differentiates minimally conscious from unresponsive patients: a resting-state fNIRS study.Journal of translational medicine · 2025Article
- Automated MRI Segmentation of Brainstem Nuclei Critical to Consciousness.Human brain mapping · 2025Observational
- Dynamics of EEG Microstates Change Across the Spectrum of Disorders of Consciousness.Brain topography · 2025Article
- Bilateral dorsolateral prefrontal cortex high-frequency transcranial magnetic stimulation for consciousness recovery after traumatic brain injury: a case series.Frontiers in psychiatry · 2025Article
- Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation.Military Medical Research · 2024Review
- Recovery of consciousness after acute brain injury: a narrative review.Journal of intensive care · 2024Review
- Functional near-infrared spectroscopy: A novel tool for detecting consciousness after acute severe brain injury.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness.Science translational medicine · 2024Article
- Acoustic-electric trigeminal-nerve stimulation enhances functional connectivity in patients with disorders of consciousness.CNS neuroscience & therapeutics · 2024Article
- Variability of large timescale functional networks in patients with disorders of consciousness.Frontiers in neurology · 2024Article
- Study of a precise treatment protocol for patients with consciousness disorders based on the brain network analysis of functional magnetic resonance imaging.Frontiers in neuroscience · 2024Article
- Behavioral Effects of Repetitive Transcranial Magnetic Stimulation in Disorders of Consciousness: A Systematic Review and Meta-Analysis.Brain sciences · 2023Review
- A Focus on Subtle Signs and Motor Behavior to Unveil Awareness in Unresponsive Brain-Impaired Patients: The Importance of Being Clinical.Neurology · 2023Article
- The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states.Interface focus · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Severe brain injury may cause disruption of neural networks that sustain arousal and awareness, the two essential components of consciousness. Despite the potentially devastating immediate and long-term consequences, disorders of consciousness (DoC) are poorly understood in terms of their underlying neurobiology, the relationship between pathophysiology and recovery, and the predictors of treatment efficacy. Recent advances in neuroimaging techniques have enabled the study of network connectivity, providing great potential to improve the clinical care of patients with DoC. Initial discoveries in this field were made using positron emission tomography (PET). More recently, functional magnetic resonance (fMRI) techniques have added to our understanding of functional network dynamics in this population. Both methods have shown that whether at rest or performing a goal-oriented task, functional networks essential for processing intrinsic thoughts and extrinsic stimuli are disrupted in patients with DoC compared with healthy subjects. Atypical connectivity has been well established in the default mode network as well as in other cortical and subcortical networks that may be required for consciousness. Moreover, the degree of altered connectivity may be related to the severity of impaired consciousness, and recovery of consciousness has been shown to be associated with restoration of connectivity. In this review, we discuss PET and fMRI studies of functional and effective connectivity in patients with DoC and suggest how this field can move toward clinical application of functional network mapping in the future.
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Registered trials
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.