Open AccessFull exploitation of high dimensionality in brain imaging: The JPND working group statement and findings
Author(s) -
Adams Hieab H.H.,
Roshchupkin Gennady V.,
DeCarli Charles,
Franke Barbara,
Grabe Hans J.,
Habes Mohamad,
Jahanshad Neda,
Medland Sarah E.,
Niessen Wiro,
Satizabal Claudia L.,
Schmidt Reinhold,
Seshadri Sudha,
Teumer Alexander,
Thompson Paul M.,
Vernooij Meike W.,
Wittfeld Katharina,
Ikram M. Arfan
Publication year - 2019
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1016/j.dadm.2019.02.003
Subject(s) - neuroimaging , data science , computer science , leverage (statistics) , neuroinformatics , harmonization , data sharing , imaging genetics , cornerstone , artificial intelligence , medicine , psychology , neuroscience , pathology , geography , physics , alternative medicine , archaeology , acoustics
Advances in technology enable increasing amounts of data collection from individuals for biomedical research. Such technologies, for example, in genetics and medical imaging, have also led to important scientific discoveries about health and disease. The combination of multiple types of high‐throughput data for complex analyses, however, has been limited by analytical and logistic resources to handle high‐dimensional data sets. In our previous EU Joint Programme–Neurodegenerative Disease Research (JPND) Working Group, called HD‐READY, we developed methods that allowed successful combination of omics data with neuroimaging. Still, several issues remained to fully leverage high‐dimensional multimodality data. For instance, high‐dimensional features, such as voxels and vertices, which are common in neuroimaging, remain difficult to harmonize. In this Full‐HD Working Group, we focused on such harmonization of high‐dimensional neuroimaging phenotypes in combination with other omics data and how to make the resulting ultra‐high‐dimensional data easily accessible in neurodegeneration research.