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  A nation-wide initiative for brain imaging and clinical phenotype data federation in Swiss university memory centres

Draganski, B., Kherif, F., Damian, D., & Demonet, J.-F. (2019). A nation-wide initiative for brain imaging and clinical phenotype data federation in Swiss university memory centres. Current Opinion in Neurology, 32(4), 557-563. doi:10.1097/WCO.0000000000000721.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-635F-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-C04C-E
Genre: Journal Article

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 Creators:
Draganski, Bogdan1, 2, 3, Author              
Kherif, Ferath 2, Author
Damian, Daniel 3, Author
Demonet, Jean-Francois 3, Author
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2LREN, Department of Clinical Neurosciences, University Hospital Centre (CHUV), University of Lausanne (UNIL), Switzerland, ou_persistent22              
3Leenaards Memory Centre, Department of clinical neurosciences, Uni-versity Hospital Centre (CHUV) and University of Lausanne (UNIL), Switzerland, ou_persistent22              

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Free keywords: data federation; dementia; MRI
 Abstract: PURPOSE OF REVIEW: The goal of our nation-wide initiative is to provide clinicians intuitive and robust tools for accurate diagnosis, therapy monitoring and prognosis of cognitive decline that is based on large-scale multidomain data. RECENT FINDINGS: We describe a federation framework that allows for statistical analysis of aggregated brain imaging and clinical phenotyping data across memory clinics in Switzerland. The adaptation and deployment of readily available data capturing and federation modules is paralleled by developments in ontology, quality and regulatory control of brain imaging data. Our initiative incentivizes data sharing through the common resource in a way that provides individual researcher with access to large-scale data that surpasses the data acquisition capacity of a single centre. Clinicians benefit from fine-grained epidemiological characterization of own data compared with the rest additional to intuitive tools allowing for computer-based diagnosis of dementia. Finally, our concept aims at closing the loop between group-level results based on aggregate data and individual diagnosis by providing disease models, that is, classifiers for neurocognitive disorders that will enable the computer-based diagnosis of individual patients. SUMMARY: The obtained results will inform recommendations on best clinical practice in all relevant fields focusing on standardization and interoperability of acquired data, privacy protection framework and ethical consideration in the context of evolutive pathology.

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Language(s): eng - English
 Dates: 2019-08-012019-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1097/WCO.0000000000000721
PMID: 31169559
 Degree: -

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Project name : NCCR Synapsy
Grant ID : 32003B_159780 ; 33CS30-148401
Funding program : -
Funding organization : Swiss National Science Foundation
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Grant ID : -
Funding program : -
Funding organization : Leenaards Foundation
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Funding program : -
Funding organization : Roger De Spoelberchand Partridge Foundations

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Title: Current Opinion in Neurology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 32 (4) Sequence Number: - Start / End Page: 557 - 563 Identifier: ISSN: 1535-3850
CoNE: https://pure.mpg.de/cone/journals/resource/991042727070048