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Clinical Trial Summary

Dementia with Lewy body disease (DLB) is the second leading cause of degenerative cognitive disorder after Alzheimer's disease (AD). Its variable clinical expression makes diagnosis difficult. To date, there is no validated DLB diagnostic biomarker, despite several biomarkers in development (EEG, MRI, biology). Studies have shown that an improvement in diagnostic performance could be obtained by combining different modalities biomarkers using machine learning. The aim of this research is to identify the best combination of multimodal biomarkers for the diagnosis of DLB (EEG, MRI, biology, cognitive scores), using a machine learning approach applied to a clinical cohort.


Clinical Trial Description

Study population: Observational prospective cohort study including over 24 months at the GHU AP-HP. Nord Lariboisière, Cognitive Neurology Center : 50 probable DLB patients, 50 AD patients, and 30 control subjects with subjective cognitive impairment but without any element in favor of neurodegenerative disorders. Total clinical dataset n= 130. Act : 32-electrode EEG (resting state, passive auditory and active visual task). Expected results: Improved DLB diagnosis performance using a combination of multimodal biomarkers (EEG, cognitive scores, plasma, brain MRI). ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06068361
Study type Observational
Source Assistance Publique - Hôpitaux de Paris
Contact Claire PAQUET, MDPhD
Phone 0140054313
Email claire.paquet@aphp.fr
Status Not yet recruiting
Phase
Start date July 2024
Completion date July 2027

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