Investigating the effect of changing parameters when building prediction models for post-stroke aphasia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Behavioral Neuroscience,Experimental and Cognitive Psychology,Social Psychology
Link
http://www.nature.com/articles/s41562-020-0854-5.pdf
Reference101 articles.
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2. Berthier, M. L. Poststroke aphasia: epidemiology, pathophysiology and treatment. Drugs Aging 22, 163–182 (2005).
3. Engelter, S. T. et al. Epidemiology of aphasia attributable to first ischemic stroke: incidence, severity, fluency, etiology, and thrombolysis. Stroke 37, 1379–1384 (2006).
4. Halai, A. D., Woollams, A. M. & Lambon Ralph, M. A. Predicting the pattern and severity of chronic post-stroke language deficits from functionally-partitioned structural lesions. NeuroImage Clin. 19, 1–13 (2018).
5. Hope, T. M. H., Leff, A. P. & Price, C. J. Predicting language outcomes after stroke: is structural disconnection a useful predictor? NeuroImage Clin. 19, 22–29 (2018).
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