Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings
Year: 2019
Type: article
Abstract: 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.
Authors: Hieab H.H. Adams, Gennady V. Roshchupkin, Charles DeCarli, Barbara Franke, Hans J. Grabe, Mohamad Habes, Neda Jahanshad, Sarah E. Medland, Wiro Niessen, Claudia L. Satizabal, Reinhold Schmidt, Sudha Seshadri, Alexander Teumer, Paul M. Thompson, Meike W. Vernooij, Katharina Wittfeld, M. Arfan Ikram
Institutions: Erasmus MC, Erasmus University Rotterdam, University of California, Davis, Radboud University Nijmegen, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Universitätsmedizin Greifswald, German Center for Neurodegenerative Diseases, University of Pennsylvania, University of Southern California, QIMR Berghofer Medical Research Institute, Delft University of Technology, Boston University, The University of Texas at San Antonio Health Science Center, University of Graz, Medical University of Graz
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,000
Funders: EU Joint Programme – Neurodegenerative Disease Research, Fresenius Medical Care North America, Deutsche Forschungsgemeinschaft, ZonMw, Bundesministerium für Bildung und Forschung, Damp Stiftung, National Institute on Aging, National Institute of Neurological Disorders and Stroke, European Social Fund, Cilag
Awards: UC Davis Alzheimer's Disease Core Center, CHARGE: Identifying Risk & Protective SNV for AD in ADSP Case-control Sample, Microglial, Inflammatory and Omics Markers of Cerebral Small Vessel Disease in the CHARGE Consortium, ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model Systems, Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham Cohorts, G7907795983, Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC), Precursors of Stroke Incidence and Prognosis, South Texas Alzheimer's Disease Center
OpenAlex ID: W2944395587