ArticleNeurology. Genetics2017
Design and rationale for examining neuroimaging genetics in ischemic stroke: The MRI-GENIE study.
Article in Neurology. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 40 citations in OpenAlex.
- The relevance of rich club regions for functional outcome post-stroke is enhanced in women.Human brain mapping · 2023Trial
- Brain Health Loss Mediates the Effect of Infarct Volume on Functional Outcome in Ischemic Stroke.medRxiv : the preprint server for health sciences · 2025Article
- Magnetic Resonance Imaging Markers of Brain Health Improve Assessment of Functional Outcome After Acute Ischemic Stroke: A Quantitative Comparison Study.medRxiv : the preprint server for health sciences · 2025Article
- The association of SUR1 polymorphisms with acute infarct size: The MRI-GENIE study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025Article
- Prediction of stroke severity: systematic evaluation of lesion representations.Annals of clinical and translational neurology · 2024Article
- Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity.Brain communications · 2024Article
- Spatial-Intensity Transforms for Medical Image-to-Image Translation.IEEE transactions on medical imaging · 2023Article
- A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke.Scientific data · 2023Article
- Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome.Neurology · 2022Article
- Migraine-Associated Common Genetic Variants Confer Greater Risk of Posterior vs. Anterior Circulation Ischemic Stroke☆.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022Article
- Bridging gaps between images and data: a systematic update on imaging biobanks.European radiology · 2022Review
- Deep profiling of multiple ischemic lesions in a large, multi-center cohort: Frequency, spatial distribution, and associations to clinical characteristics.Frontiers in neuroscience · 2022Article
- Sex-specific lesion pattern of functional outcomes after stroke.Brain communications · 2022Article
- Outcome after acute ischemic stroke is linked to sex-specific lesion patterns.Nature communications · 2021Article
- Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke.Frontiers in neurology · 2021Article
- The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research.Frontiers in neuroinformatics · 2021Article
- Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype.Neurology · 2020Article
- Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.Medical image analysis · 2020Review
- Detailed phenotyping of posterior vs. anterior circulation ischemic stroke: a multi-center MRI study.Journal of neurology · 2020Article
Corrections and comments
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Authors and funding
41 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo describe the design and rationale for the genetic analysis of acute and chronic cerebrovascular neuroimaging phenotypes detected on clinical MRI in patients with acute ischemic stroke (AIS) within the scope of the MRI-GENetics Interface Exploration (MRI-GENIE) study.
methodsMRI-GENIE capitalizes on the existing infrastructure of the Stroke Genetics Network (SiGN). In total, 12 international SiGN sites contributed MRIs of 3,301 patients with AIS. Detailed clinical phenotyping with the web-based Causative Classification of Stroke (CCS) system and genome-wide genotyping data were available for all participants. Neuroimaging analyses include the manual and automated assessments of established MRI markers. A high-throughput MRI analysis pipeline for the automated assessment of cerebrovascular lesions on clinical scans will be developed in a subset of scans for both acute and chronic lesions, validated against gold standard, and applied to all available scans. The extracted neuroimaging phenotypes will improve characterization of acute and chronic cerebrovascular lesions in ischemic stroke, including CCS subtypes, and their effect on functional outcomes after stroke. Moreover, genetic testing will uncover variants associated with acute and chronic MRI manifestations of cerebrovascular disease.
conclusionsThe MRI-GENIE study aims to develop, validate, and distribute the MRI analysis platform for scans acquired as part of clinical care for patients with AIS, which will lead to (1) novel genetic discoveries in ischemic stroke, (2) strategies for personalized stroke risk assessment, and (3) personalized stroke outcome assessment.
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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.