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Generalizing post-stroke prognoses from research data to clinical data

Loughnan, R; Lorca-Puls, DL; Gajardo-Vidal, A; Espejo-Videla, V; Gillebert, CR; Mantini, D; Price, CJ; (2019) Generalizing post-stroke prognoses from research data to clinical data. NeuroImage: Clinical , 24 , Article 102005. 10.1016/j.nicl.2019.102005. Green open access

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Abstract

Around a third of stroke survivors suffer from acquired language disorders (aphasia), but current medicine cannot predict whether or when they might recover. Prognostic research in this area increasingly draws on datasets associating structural brain imaging data with outcome scores for ever-larger samples of stroke patients. The aim is to learn brain-behaviour trends from these data, and generalize those trends to predict outcomes for new patients. The practical significance of this work depends on the expected breadth of that generalization. Here, we show that these models can generalize across countries and native languages (from British patients tested in English to Chilean patients tested in Spanish), across neuroimaging technology (from MRI to CT), and from scans collected months or years after stroke for research purposes, to scans collected days or weeks after stroke for clinical purposes.

Type: Article
Title: Generalizing post-stroke prognoses from research data to clinical data
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.nicl.2019.102005
Publisher version: https://doi.org/10.1016/j.nicl.2019.102005
Language: English
Additional information: © 2019 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Keywords: Aphasia, Lesion growth, Plasticity, Prognosis, Stroke
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10085553
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