ArticleNeuroImage. Clinical2021
Time-delay structure predicts clinical scores for patients with disorders of consciousness using resting-state fMRI.
Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Meta-analysis of the diagnostic value of functional magnetic resonance imaging for distinguishing unresponsive wakefulness syndrome/vegetative state and minimally conscious state.Frontiers in neuroscience · 2024Pooled it
- Intrinsic Brain Activity Alterations in Disorders of Consciousness: A Parallel Resting-State fMRI Analysis at 7 Tesla.Brain topography · 2026Article
- Symptom-based depression subtypes: brain dynamic specificity and its association with gene expression profiles.Translational psychiatry · 2025Article
- Prognostic Evaluation of Disorders of Consciousness by Using Resting-State fMRI: A Systematic Review.Journal of clinical medicine · 2024Review
- A functional near-infrared spectroscopy study on hemodynamic changes of patients with prolonged disorders of consciousness responding to different auditory stimuli.BMC neurology · 2023Article
- Reduced emergent character of neural dynamics in patients with a disrupted connectome.NeuroImage · 2023Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
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Abstract
backgroundThe detection of intrinsic brain activity (iBA) could assist clinical assessment for disorder of consciousness (DOC) patients. Previous studies have revealed the altered iBA in thalamocortical, frontoparietal, and default mode network in DOC patients using functional connectivity (FC) analysis. However, due to the assumption of synchronized iBA in FC, these studied may be inadequate for understanding the effect of severe brain injury on the temporal organization of iBA and the relationship between temporal organization and clinical feature in DOC patients. Recently, the time delay estimation (TDE) and probabilistic flow estimation (PFE) were proposed to analyze temporal organization, which could provide propagation structure and propagation probability at whole-brain level.
methodsWe applied voxel-wise TDE and PFE to assess propagation structure and propagation probability for the DOC patients and then applied the connectome-based predictive modeling (CPM) to predict clinical scores for patients based on the ROI-wise TDE and PFE.
resultsWe found that: 1) the DOC patients showed abnormal voxel-wise time delay (TD) and probabilistic flow (PF) in the precentral gyrus, precuneus, middle cingulate cortex, and postcentral gyrus, 2) the range of TD value in the patients was shorter than that in the controls, and 3) the ROI-wise TD had a better predictive performance for clinical scores of the patients compared with that based on ROI-wise PF.
conclusionOur findings may suggest that the propagation structure of iBA could be used to predict clinical scores in DOC patients.
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