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The identification of transnosographic dimensions constituted by cognitive disorders constitutes a particularly promising avenue for classifying psychiatric disorders in a more precise and personalized manner. However, despite interesting preliminary data, there is no exhaustive phenotyping of the different cognitive disorders in large samples where all severe psychiatric disorders are represented. Moreover, the brain mechanisms underlying cognitive disorders remain poorly understood, whereas their identification would allow a better understanding of the pathophysiology of these disorders as well as the identification of potential therapeutic targets.
Here, the investigators will compare cognitive-behavioral performance in patients with different types of severe psychiatric disorders (psychotic disorders, depressive disorders, bipolar disorder, anxiety disorders, autism spectrum disorders and eating disorders) and healthy volunteers to identify specific and shared cognitive alterations between the different severe psychiatric disorders. In addition, the investigators will compare neurophysiological cognitive data in to identify alterations in neurophysiological cognitive mechanisms that are specific to and shared between the different severe psychiatric disorders.
The investigators will include 180 patients suffering from a severe psychiatric disorder (psychotic disorder, mood disorder (depressive and bipolar disorders), anxiety disorder, autism spectrum disorder and eating disorder) and benefiting from cognitive phenotyping (neuropsychological assessment and possibly EEG) as part of the initial assessment for a severe psychiatric disorder. In parallel, the investigators will include 180 healthy volunteers The different variables corresponding to the judgment criteria will be compared between the groups by being included as dependent variables in mixed linear regression models (ANOVA; or KRUSKAL-WALLIS if non-parametric) with the group as independent factor, time (before, after treatment) and type of treatment.
This study will allow the constitution of a transnosographic atlas of neuro-cognitive deficits in different psychiatric pathologies.
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180 participants in 7 patient groups
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Clément DONDÉ, MD PhD
Data sourced from clinicaltrials.gov
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