ArticleAnnals of clinical and translational neurology2025
Detecting rs-fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability.
Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mapping fMRI research in disorders of consciousness: a bibliometric study.Frontiers in neurologyPooled it
- PET in conjunction with resting-state functional MRI for the study of chronic disorders of consciousness.Brain communications · 2026Article
- Early Detection of Covert Consciousness With Functional Near-Infrared Spectroscopy.Annals of neurology · 2025Article
- Multimodal MRI reveals three-tiered pathological co-alterations in prolonged disorders of consciousness: structural disconnection, network disintegration, and regional hyperconnectivity.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
backgroundPreserved resting-state functional MRI (rs-fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs-fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice. We investigated functional connectivity of the main networks, combining structural MRI to obtain a description of the most observed networks in DOC, their diagnostic ability, and whether they can be related to clinical assessment.
methodsA group of 109 chronic patients [65 vegetative state/unresponsive wakefulness state (VS/UWS), 34 minimally conscious state (MCS), and 10 emerged from MCS (eMCS)], with different etiologies, and 34 control subjects underwent multimodal assessment. Rs-fMRI data were analyzed with a semi-automatic pipeline to assess residual functional activity in terms of number, type, mean intensity, and structural preservation of networks.
resultsThe more networks observed, the better the patient's clinical condition is likely to be. VS/UWS patients display 0-9, MCS 5-9, and eMCS 8-10 networks. Both the presence and intensity of 5 networks (visual networks, temporal, left fronto-parietal and default mode network) are relevant to distinguish VS/UWS from MCS, with AUCs of 0.64-0.69 (95% confidence interval). Etiology and disease duration have an impact on the number and type of preserved networks. High residual functional connectivity observed in VS/UWS patients, as in MCS, is in agreement with neurophysiological and metabolic evaluations.
conclusionsThis systematic assessment of the main rs-fMRI networks in DOC provides basic measures of functional connectivity that can enhance their interpretability in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
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.