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.
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). * 4 dry electrode EEG cap simultaneously with the 32-electrode EEG Expected results: Improved DLB diagnosis performance using a combination of multimodal biomarkers (EEG, cognitive scores, plasma, brain MRI).
Study Type
OBSERVATIONAL
Enrollment
130
32-electrode EEG (resting state, passive auditory and active visual task) + simultaneous recording with a 4 dry electrode EEG cap
Centre de neurologie Cognitive
Paris, France, France
RECRUITINGDiagnostic performance of a composite multimodal score
Diagnostic performance (sensitivity, specificity, accuracy) of a composite multimodal score combining quantitative EEG metrics, plasma biomarkers, MRI volumetric markers and cognitive scores, to differentiate groups of patients (AD, DLB) and control subjects.
Time frame: 24 month
Comparison between groups of patients and controls of a composite EEG score combining several quantitative EEG parameters.
Time frame: 24 month
Correlation between EEG parameters, biological biomarkers, MRI volumetric markers and cognitive scores assessed in the three groups (DLB, AD, controls)
Time frame: 24 month
Reproducibility of 32-electrode EEG results with the 4 dry electrodes EEG cap
Time frame: 24 month
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