Following a right stroke, more than half of the patients present a communication disorder. These disorders can notably concern prosody. Nevertheless, these remain relatively poorly assessed and characterized. Prosodic alterations in comprehension can result in a disruption of social cognition with potentially important consequences in terms of functional outcome and quality of life of patients. In clinical practice, the investigators do not have a tool that allows us to finely assess these disorders. Studies in healthy subjects using a processing algorithm capable of arbitrarily manipulating the pitch dynamics of recorded voices have revealed that there are stable internal representations for prosody processing. Initial pilot results show that this method can be used in a clinical context and can indeed identify and accurately measure perceptual processing deficits in prosody following a right stroke. It is necessary to continue the study of this approach with a larger number of subjects in order to have normative data and validate the diagnostic properties of this approach.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Evolution of the inverse correlation task at the beginning and at the end of participation
Timeframe: 6 months