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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Psychotic disorders |
| ||
| Depressive disorders |
| ||
| Bipolar disorders |
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| Anxiety disorders |
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| Autism spectrum disorders |
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| Eating disorders |
| ||
| Healthy volunteers |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cognitive (behavioural and neurophysiological) screening | Diagnostic Test | Cognitive disorders are attested at the behavioral level by the psychologist specialized in neuropsychology who makes the patient take a standardized battery of specific psychometric tests. This assessment thus makes it possible to obtain behavioral data such as reaction time, error rates and modeling parameters. The electroencephalogram (EEG) consists of collecting the signal of the brain's bioelectrical activity by means of electrodes placed on the scalp. The EEG is used to determine the cerebral functioning underlying cognitive functions by performing it simultaneously with the behavioral tasks of the neuropsychological assessment, thus obtaining a neurophysiological phenotyping of cognitive disorders. |
| Measure | Description | Time Frame |
|---|---|---|
| Main outcome | The primary outcome is the comparison of cognitive-behavioral performance composite scores corresponding to response rates (in %) for each cognitive dimension between the different severe psychiatric disorder groups and the healthy subjects. | At inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Secondary outcome 1 | Outcome will be the comparison of neurophysiological data from EEG recordings (composite variable) recorded simultaneously with the performance of behavioral tasks for each cognitive dimension between the different severe psychiatric disorders. | At inclusion |
| Secondary outcome 2 |
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Inclusion criteria for patients:
Inclusion criteria for healthy volunteers:
Exclusion criteria:
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Study Population : Patients with Severe Psychiatric Disorders (psychotic disorder, mood disorder (depressive and bipolar disorders), anxiety disorder, autism spectrum disorder and eating disorder) Control Population : Healthy volunteers
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Clément DONDÉ, MD PhD | Contact | +33632415318 | cdondecoquelet@chu-grenoble.fr |
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| ID | Term |
|---|---|
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| D008403 | Mass Screening |
| ID | Term |
|---|---|
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D006306 | Health Surveys |
| D011795 | Surveys and Questionnaires |
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|
Outcome will be the comparison of cognitive-behavioral performance composite score corresponding to response rates (in %) from neuropsychological tests before and after treatment (up to + 6 months) in the different groups of patients with severe psychiatric disorders. |
| Through study completion, up to 6 months |
| Secondary outcome 3 | Outcome will be the comparison of neurophysiological data obtained from EEG recordings (composite variable) associated with behavioral tests before and after treatment (up to + 6 months) in the different groups of patients with severe psychiatric disorder. | Through study completion, up to 6 months |
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D003954 | Diagnostic Services |
| D011314 | Preventive Health Services |
| D006296 | Health Services |
| D005159 | Health Care Facilities Workforce and Services |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
| D015980 | Public Health Practice |