ArticleNPJ digital medicine2023
Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI.
Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
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Who cites it
16 citing papers in PubMed, 19 citations in OpenAlex.
- Calibration-Free Estimation of Cerebrovascular Reactivity From Resting-State BOLD fMRI Using Reconstructed Respiratory Fluctuations.Magnetic resonance in medicine · 2026Article
- MR-AIV reveals in vivo brain-wide fluid flow with physics-informed AI.Science advances · 2026Article
- Bidirectional crusher gradient method to estimate the labeling efficiency of pseudo-continuous arterial spin labeling MRI in mice.Magnetic resonance in medicine · 2026Article
- Evaluation of cerebrovascular reactivity impairment using resting-state BOLD MRI in symptomatic patients with unilateral intracranial artery occlusion.Cerebral circulation - cognition and behavior · 2026Article
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- Altered cerebellar subregion functional connectivity and structure in patients with pediatric bipolar depression.Brain imaging and behavior · 2025Article
- Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection.Medical image analysis · 2025Article
- Research progress of artificial intelligence in moyamoya disease.Frontiers in neurology · 2025Review
- Resting-State fMRI Reveals the Neural Correlates of Acupuncture in the Treatment of Vascular Cognitive Impairment.Clinical interventions in aging · 2025Review
- Model-based reinforcement learning for ultrasound-driven autonomous microrobots.Nature machine intelligence · 2025Article
- Review
- CT texture analysis of vertebrobasilar artery calcification to identify culprit plaques.Frontiers in neurology · 2024Article
- Optimization of Radiology Diagnostic Services for Patients with Stroke in Multidisciplinary Hospitals.Materia socio-medica · 2024Review
- Review
- Convolutional Neural Networks to Assess Steno-Occlusive Disease Using Cerebrovascular Reactivity.Healthcare (Basel, Switzerland) · 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
21 authors at 5 institutions in 1 country.
Funding
Abstract
Cerebrovascular disease is a leading cause of death globally. Prevention and early intervention are known to be the most effective forms of its management. Non-invasive imaging methods hold great promises for early stratification, but at present lack the sensitivity for personalized prognosis. Resting-state functional magnetic resonance imaging (rs-fMRI), a powerful tool previously used for mapping neural activity, is available in most hospitals. Here we show that rs-fMRI can be used to map cerebral hemodynamic function and delineate impairment. By exploiting time variations in breathing pattern during rs-fMRI, deep learning enables reproducible mapping of cerebrovascular reactivity (CVR) and bolus arrival time (BAT) of the human brain using resting-state CO
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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.