ArticleBrain sciences2022
Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Mapping fMRI research in disorders of consciousness: a bibliometric study.Frontiers in neurologyPooled it
- Effect and mechanism of repetitive transcranial magnetic stimulation of angular gyrus on patients with consciousness disorder.Frontiers in neurologyTrial
- Neuroimaging of Disorder of Consciousness: From Brain Network Mechanisms to Clinical Translation.Journal of clinical neurology (Seoul, Korea) · 2026Review
- Exploring the Role of the Rich Club in Network Control of Neurocognitive States.Human brain mapping · 2026Article
- PET in conjunction with resting-state functional MRI for the study of chronic disorders of consciousness.Brain communications · 2026Article
- Multimodal PET/MR imaging of prolonged disorders of consciousness: a pilot feasibility study.Frontiers in neuroscience · 2026Article
- Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviations.bioRxiv : the preprint server for biology · 2025Article
- Detecting rs-fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability.Annals of clinical and translational neurology · 2025Article
- The Diagnostic Value of Visual Evoked Potentials in Chronic Disorders of Consciousness.Annals of clinical and translational neurology · 2025Article
- Prognostic utility of somatosensory evoked potentials in supratentorial hemorrhage-induced prolonged disorders of consciousness.European journal of medical research · 2025Article
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- Prognostic Evaluation of Disorders of Consciousness by Using Resting-State fMRI: A Systematic Review.Journal of clinical medicine · 2024Review
- Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.PLoS computational biology · 2024Article
- Neuroimaging in Disorders of Consciousness and Recovery.Physical medicine and rehabilitation clinics of North America · 2024Review
- Differential brain activity in patients with disorders of consciousness: a 3-month rs-fMRI study using amplitude of low-frequency fluctuation.Frontiers in neurology · 2024Article
- Disorder of consciousness: Structural integrity of brain networks for the clinical assessment.Annals of clinical and translational neurology · 2023Article
- Functional networks in prolonged disorders of consciousness.Frontiers in neuroscience · 2023Review
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Authors and funding
12 authors at 7 institutions in 2 countries.
Funding
Abstract
Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory-motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment. We studied 109 chronic patients with DoC and emerged from DoC with structural MRI and rs-fMRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS) and 10 with severe disability. rs-fMRI data were analyzed with independent component analyses and seed-based analyses, in relation to structural MRI and clinical data. The results showed that VS/UWS had fewer networks than MCS patients and the rs-fMRI activity in each network was decreased. Visual networks were correlated to the clinical status, and in cases where no clinical response occurred, rs-fMRI indicated distinctive networks conveying information in a similar way to other techniques. The information provided by single networks was limited, whereas the four networks together yielded better classification results, particularly when the model included rs-fMRI and structural MRI data (AUC = 0.80). Both quantitative and qualitative rs-fMRI analyses yielded converging results; vascular etiology might confound the results, and disease duration generally reduced the number of networks observed. The lower-order rs-fMRI networks could be used clinically to support and corroborate visual function assessments 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.