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Principal Investigator  
Principal Investigator's Name: Miriam Vignando
Institution: King's College London
Department: Neuroimaging
Country:
Proposed Analysis: I will use the data from the ADNI dataset in combination with data from other cohorts to identify sub- and transdiagnostic profiles of cognitive decline in a biology-based (structural neuroimaging) approach. I will first harmonise the data for multi-site effects using an empirical Bayes algorithm previously proven successful for structural neuroimaging. Then I will compare data from patients with different diagnoses (Alzheimer's disease, Frontotemporal dementia, Parkinson's disease and Lewy Body dementia) agains a normative model of brain changes associated to ageing. This will allow me to compare individual patients against the norm and identify differences in terms of extreme variations from the norm. Then I will use a clustering algorithm to group participants differing on the same features and I will characterise these subgroups using clinical and cognitive information, but also using PET atlases to understand the possible neurochemistry associated to each of the newly created groups. I will also use the structural data to define covariance based graph measures and better understand these differences. The main outcomes: - stratification for drug and genomic-wide association studies, clinical interventions at the individual level (e.g. at what stage a treatment can be more effective, symptom progression/prognosis); - Clinical trials effective recruitment: if a drug is meant to halt rapid progression, only patients likely to rapidly progress can be involved; with the overarching aim to provide a cost-effective paradigm to profile individuals, developed with clinical, neuropsychological, and biological information.
Additional Investigators