ReviewHuman brain mapping2022
The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke.
Review in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis.Journal of the American Heart Association · 2022Pooled it
- Estimating white matter hyperintensities volume in individuals with stroke using T1-weighted images.Neuroimage. Reports · 2026Article
- Optimizing the Approach to Calculating CST Lesion Load in Ischemic Stroke Patients for Understanding Motor Outcomes.Neurorehabilitation and neural repair · 2026Article
- Seric Molecular Markers Correlated with Stroke Rehabilitation Outcomes: A Narrative Review.Life (Basel, Switzerland) · 2026Review
- Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study.The Lancet. Digital health · 2026Observational
- Hippocampal subfield-specific alterations in post-stroke dementia with subcortical lesion.Brain imaging and behavior · 2025Article
- Collaborative AI for precision neurorehabilitation: a roadmap.Journal of neuroengineering and rehabilitation · 2025Review
- Extension of voxel-based lesion mapping to multidimensional neurophysiological data.Scientific reports · 2025Article
- A Personalized Multimodal BCI-Soft Robotics System for Rehabilitating Upper Limb Function in Chronic Stroke Patients.Biomimetics (Basel, Switzerland) · 2025Article
- Sex-specific infarct volume associations and early prediction of language impairment progression following stroke surgery: a network approach.Frontiers in neurology · 2025Article
- Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography.Applied sciences (Basel, Switzerland) · 2025Article
- Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research.Insights into imaging · 2024Review
- Severe motor impairment is associated with lower contralesional brain age in chronic stroke.medRxiv : the preprint server for health sciences · 2024Article
- The Aphasia Recovery Cohort, an open-source chronic stroke repository.Scientific data · 2024Article
- Activity-dependent transcriptional programs in memory regulate motor recovery after stroke.Communications biology · 2024Article
- Modulation of the Association Between Corticospinal Tract Damage and Outcome After Stroke by White Matter Hyperintensities.Neurology · 2024Article
- NSF DARE-Transforming modeling in neurorehabilitation: Four threads for catalyzing progress.Journal of neuroengineering and rehabilitation · 2024Review
- Cortical Sensorimotor Integration as a Neural Origin of Impaired Grip Force Direction Control following Stroke.Brain sciences · 2024Article
- Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers.Brain communications · 2024Article
- Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity.Brain communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
67 authors.
Funding
Abstract
The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided.
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.