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Greater than the sum: Federated analyses in Alzheimer’s disease using the Human Brain Project Medical Informatics Platform (MIP)
Author(s) -
Sokolov Arseny A.,
Phenix Thierry,
Chaptinel Jérôme,
Leroy Melanie,
Kherif Ferath,
Redolfi Alberto,
Pasquier Florence,
Démonet JeanFrançois,
Ryvlin Philippe
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.045717
Subject(s) - dementia , informatics , neuropsychology , computer science , memory clinic , interface (matter) , disease , medicine , neuroimaging , cognitive impairment , alzheimer's disease neuroimaging initiative , cognition , data science , pathology , psychiatry , electrical engineering , bubble , maximum bubble pressure method , parallel computing , engineering
Background The abundance of patient data collected during clinical routine is rarely harnessed towards progress in neuroscience. However, multimodal real‐life data may provide significant insights into pathophysiology, disease progression and prognosis, in particular in the field of Alzheimer’s disease. The aim of the Medical Informatics Platform (MIP) within the Human Brain Project is to create an intuitive interface that allows remote computational analyses of clinical data stored in the respective medical centers. Method The concept of federated analyses refers to the statistical processing of physically separate and non‐aggregated data sets in a single user interface. The MIP interface provides advanced statistical approaches, remote data access and local user regulations. Authorized MIP users are able to test their hypotheses using a flexible portfolio of data sets, modalities and data processing tools. Result At the present stage, three memory clinics have contributed to the MIP: the Leenaards Memory Centre at the University Hospital Lausanne, Switzerland; the University Hospital Lille Memory Centre, France; and the IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli di Brescia, Italy. The data sets contain demographic, neuropsychological and volumetric MRI data from 5154 individuals with subjective and mild cognitive impairment or dementia. The data include clinically probable Alzheimer's etiology according to CSF biomarkers. Proof‐of‐concept and validation analyses will be presented. Reference data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), which can be downloaded by MIP users in accordance with ADNI rules, can be compared with the clinical data in the MIP. Conclusion Federated analyses such as afforded by the MIP within the Human Brain Project do not only allow novel scientific insights due to a substantial increase in sample size and cross‐validation, but also ensure a high level of data protection. The MIP has a considerable potential for discovery in clinical neuroscience.