Séminaire LPNC : Lia TALOZZI | Laboratoire de Psychologie et NeuroCognition

Séminaire

Le 5 avril 2022

Saint-Martin-d'Hères - Domaine universitaire

The role of metacognition in eating behavior

Lia Talozzi (CNRS Post-Doctoral Researcher in Neuroscience; Groupe d'Imagerie Neurofonctionnelle (GIN), Institut des Maladies Neurodegeneratives, CNRS, CEA University of Bordeaux, France).

Stroke significantly impacts quality of life. However, the long-term cognitive evolution in stroke is poorly predictable at the individual level. There is an urgent need for a better prediction of long-term symptoms based on acute clinical neuroimaging data. Previous works have demonstrated a strong relationship between the location of white matter disconnections and clinical symptoms. However, rendering the entire space of possible disconnections-deficit associations optimally surveyable will allow for a systematic association between brain disconnections and cognitive-behavioural measures at the individual level. Here we present the most comprehensive framework, a composite morphospace to predict neuropsychological scores one year after stroke. Linking the latent disconnectome morphospace to neuropsychological outcomes yields biological insights available as the first comprehensive atlas of disconnectome-deficit relations across 86 neuropsychological scores. Out-of-sample prediction derived from this atlas achieved average accuracy over 80%, which is higher than any other framework. Our novel predictive framework is available as an interactive web application, the disconnectome symptoms discoverer (http://disconnectomestudio.bcblab.com), to provide the foundations for a new and practical approach to modelling cognition in stroke. Our atlas and web application will reduce the burden of cognitive deficits on patients, their families, and wider society while also helping to tailor personalized treatment programs and discover new targets for treatments. We expect the range of assessments and the predictive power of our framework to increase even further through future crowdsourcing.

Date

Le 5 avril 2022

à 13h en distanciel uniquement

Localisation

Saint-Martin-d'Hères - Domaine universitaire

Join Zoom Meeting: https://u-bordeaux-fr.zoom.us/j/3107802294
Topic: Latent Disconnectome predictions L.Talozzi
Time: Apr 5, 2022 01:00 PM Rome
Meeting ID: 310 780 2294