About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Neuropsychological assessment possible (good level in French language, absence of visual/auditory deficit limiting the cognitive assessment)
Dementia with Lewy bodies according to the revised criteria of Mc Keith 2017 or probable AD defined according to McKhann 2011 criteria including CSF biomarkers (an abnormal level of beta-amyloid 1-42 protein [Ab42] or a pathological Ab42/Ab40 ratio and an abnormal level of phosphorylated tau [p-tau])
Neuropsychological assessment possible (good level in French language, absence of visual/auditory deficit limiting the cognitive assessment)
MMSE (Mini-mental State Examination) greater than or equal to 28, normal MemScreen test results, normal brain MRI and normal neurological examination
Disqualifiers
Contraindication to MRI
Other neurological or psychiatric or toxic/iatrogenic disorders that may account for the cognitive impairment or for EEG abnormalities
Any unstable medical pathology and/or that may account for the cognitive impairment
Trial population
Observational prospective cohort study included 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
Trial design
Case-control
Prospective
Treatments tested in this trial
EEG
Diagnostic test32-electrode EEG (resting state, passive auditory and active visual task) + simultaneous recording with a 4 dry electrode EEG cap
Treatment groups
Trial outcomes
Primary outcomes
Diagnostic 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.
Secondary outcomes
Comparison between groups of patients and controls of a composite EEG score combining several quantitative EEG parameters.
Correlation between EEG parameters, biological biomarkers, MRI volumetric markers and cognitive scores assessed in the three groups (DLB, AD, controls)
Reproducibility of 32-electrode EEG results with the 4 dry electrodes EEG cap
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Assistance Publique - Hôpitaux de Paris
Lead sponsor
Association des Aidants et Malades à Corps de Lewy (A2MCL)
Collaborator