ArticleAnnals of clinical and translational neurology2023
Disorder of consciousness: Structural integrity of brain networks for the clinical assessment.
Article in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Multimodal multicentre investigation of diagnostic and prognostic markers in disorders of consciousness.Brain : a journal of neurology · 2026Article
- PET in conjunction with resting-state functional MRI for the study of chronic disorders of consciousness.Brain communications · 2026Article
- 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
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- Mapping and modeling age-related changes in intrinsic neural timescales.Communications biology · 2025Article
- Integrating qualitative and quantitative MRI analysis for optimizing DBS candidate selection in patients with disorders of consciousness.Frontiers in neurology · 2025Article
- Disclosing Results of Tests for Covert Consciousness: A Framework for Ethical Translation.Neurocritical care · 2024Review
- Brain activation during processing of mouth actions in patients with disorders of consciousness.Brain communications · 2024Article
- Multimodal MRI reveals three-tiered pathological co-alterations in prolonged disorders of consciousness: structural disconnection, network disintegration, and regional hyperconnectivity.Frontiers in neurologyArticle
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimWhen studying brain networks in patients with Disorders of Consciousness (DoC), it is important to evaluate the structural integrity of networks in addition to their functional activity. Here, we investigated whether structural MRI, together with clinical variables, can be useful for diagnostic purposes and whether a quantitative analysis is feasible in a group of chronic DoC patients.
methodsWe studied 109 chronic patients with DoC and emerged from DoC with structural MRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS), and 10 with severe disability. MRI data were analyzed through qualitative and quantitative approaches.
resultsThe qualitative MRI analysis outperformed the quantitative one, which resulted to be hardly feasible in chronic DoC patients. The results of the qualitative approach showed that the structural integrity of HighOrder networks, altogether, had better diagnostic accuracy than LowOrder networks, particularly when the model included clinical variables (AUC = 0.83). Diagnostic differences between VS/UWS and MCS were stronger in anoxic etiology than vascular and traumatic etiology. MRI data of all LowOrder and HighOrder networks correlated with the clinical score. The integrity of the left hemisphere was associated with a better clinical status.
conclusionsStructural integrity of brain networks is sensitive to clinical severity. When patients are chronic, the qualitative analysis of MRI data is indicated.
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