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About
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.
Full 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 :
Expected results: Improved DLB diagnosis performance using a combination of multimodal biomarkers (EEG, cognitive scores, plasma, brain MRI).
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Inclusion Criteria for DLB ant AD patients:
Inclusion Criteria for control patients:
Exclusion Criteria (for all) :
130 participants in 3 patient groups
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Central trial contact
Claire PAQUET, MDPhD
Data sourced from clinicaltrials.gov
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