ArticleNeuroImage2016
The PLORAS Database: A data repository for Predicting Language Outcome and Recovery After Stroke.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed.
- The Effectiveness of Transcranial Magnetic Stimulation (TMS) Paradigms as Treatment Options for Recovery of Language Deficits in Chronic Poststroke Aphasia.Behavioural neurology · 2022Trial
- Lesion-site-dependent responses to therapy after aphasic stroke.Journal of neurology, neurosurgery, and psychiatry · 2018Trial
- Randomized trial of iReadMore word reading training and brain stimulation in central alexia.Brain : a journal of neurology · 2018Trial
- SONIVA database: Speech recognition validation in aphasia.Scientific data · 2026Article
- How object naming dissociates from repetition and comprehension impairments when post stroke aphasia is less severe.Scientific reports · 2026Article
- The Effect of Age on Post-Stroke Language Outcomes.Journal of aging research · 2026Article
- Object Naming After Thalamic Damage: Evidence From a Large-Scale, Chronic-Phase Study of Left Hemisphere Stroke Survivors.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Precision-Optimised Post-Stroke Prognoses.Annals of clinical and translational neurology · 2025Article
- Article
- The impact of pre-stroke formal education on language test performance in aphasic and non-aphasic stroke survivors.Aphasiology · 2025Article
- The Aphasia Recovery Cohort, an open-source chronic stroke repository.Scientific data · 2024Article
- Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity.Communications medicine · 2024Article
- Testing the disconnectome symptom discoverer model on out-of-sample post-stroke language outcomes.Brain : a journal of neurology · 2024Article
- Bayesian modelling disentangles language versus executive control disruption in stroke.Brain communications · 2024Article
- Predicting Motor Outcomes Using Atlas-Based Voxel Features of Post-Stroke Neuroimaging: A Scoping Review.Neurorehabilitation and neural repair · 2023Article
- Patient's assessment and prediction of recovery after stroke: a roadmap for clinicians.Archives of physiotherapy · 2023Article
- Enhanced left superior parietal activation during successful speech production in patients with left dorsal striatal damage and error-prone neurotypical participants.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Systematic evaluation of high-level visual deficits and lesions in posterior cerebral artery stroke.Brain communications · 2023Article
- Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging.PloS one · 2023Article
- Better long-term speech outcomes in stroke survivors who received early clinical speech and language therapy: What's driving recovery?Neuropsychological rehabilitation · 2022Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors.
Funding
Abstract
The PLORAS Database is a relational repository of anatomical and functional imaging data that has primarily been acquired from stroke survivors, along with standardized scores on a wide range of sensory, motor and cognitive abilities, demographic details and medical history. As of January 2015, we have data from 750 patients with an expected accrual rate of 200 patients per year. Expansion will accelerate as we extend our collaborations. The main aim of the database is to Predict Language Outcome and Recovery After Stroke (PLORAS) on the basis of a single structural (anatomical) brain scan that indexes the stereotactic location and extent of brain damage. Predictions are made for individual patients by indicating how other patients with the most similar brain damage, cognitive abilities and demographic details recovered their language skills over time. Predictions are validated by longitudinal follow-ups of patients who initially presented with speech and language difficulties. The PLORAS Database can also be used to predict recovery of other cognitive abilities on the basis of anatomical brain scans. The functional imaging data can be used to understand the neural mechanisms that support recovery from brain damage; and all the data can be used to understand the main sources of inter-subject variability in structure-function mappings in the human brain. Data will be made available for sharing, subject to: funding, ethical approval and patient consent.
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Registered trials
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