CogPhenoParkIdentification et validation des profils cognitifs dans la maladie de Parkinson : corrélats anatomiques et fonctionnels

Cognitive impairments are frequent in PD, even in non-demented patients. However, there is a substantial heterogeneity in the clinical presentation of cognitive deficits in PD 2 and also in their progression. This heterogeneity possibly reflects the diversity of the neuronal damage caused by the disease and recent studies suggest that these different clinical influence the risk of developing dementia. Most studies on cognitive phenotypes in PD have used predefined categories, such as demented vs. non-demented, or PD-mild cognitive impairment vs. cognitively intact patients. However, such an approach may miss less obvious or unexpected presentations. To this end, in a first part of this study, we have used a data-driven approach (cluster analysis) to identify different cognitive phenotypes in PD. With such an approach where phenotypical profiles arise from the data without a priori assumptions, five cognitive presentations were identified: i°) cognitively intact patients (19.39%), ii°) patients with slight mental slowing and mild executive dysfunction (41.29%), iii°) patients with slightly impaired overall cognitive efficiency and deficits in all cognitive domains except recognition memory (12.93%), iv°) patients with severe mental slowing, impaired overall cognitive efficiency, and severe cognitive impairment in all domains, including memory (23.88%), and v°) patients with very severe impairment in all cognitive domains (2.51%). From these results, it could be hypothesized that cognitive deterioration in PD progresses along a continuum, with the exception of the fourth group that also exhibits memory deficits. This group may be characterized by a different underlying pathology, or comorbidity with Alzheimer's disease. The role of vascular factors has also to be considered. The objectives of the current project are: 1. to validate the identified cognitive profiles prospectively in a new population using confirmatory cluster analysis. 2. to identify specific anatomical correlates for the identified cognitive profiles by magnetic resonance-imaging (MRI) scanning 3. to identify specific functional correlates of the identified cognitive profiles by high-density EEG (hd-EEG)