Introduction
Stroke survivors with language difficulties (aphasia) vary: some recover quickly while others suffer long-term impairments, and different patients respond differently to the same speech and language therapies.1 In recent years, we and others have shown that much of the variability in language outcomes after stroke can be explained by reference to the details of the brain damage that individual patients have suffered.2 Here, we show that this same information can be used to predict responses of patients who had stroke to treatment.
MethodsDetailed methods are provided in online : here, we summarise the key points. Our focus is on a novel treatment for Central Alexia (CA): an acquired reading disorder in the context of a general language impairment (aphasia). Patients with CA are slow to read, make frequent errors and have additional problems with spoken and written language. Our intervention is a computerised therapy embodied in...
from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader https://ift.tt/2qH86RD
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