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Full-HD: Full exploitation of High-Dimensionality in brain imaging

Projectomschrijving

Advances in technology enable increasing amounts of data collection on individuals for biomedical research. Such technologies, e.g. in genetics and medical imaging, have also led to important scientific discoveries about health and disease. The combination of multiple high-throughput data, however, was impractical since the analytical and logistic resources were not capable of meeting the requirements. In our previous JPND Working Group, called HD-READy, we developed methods that allowed success combination of omics data with neuroimaging. Still, several issues remained in order to fully leverage high-dimensional multi-modal data. For instance, highdimensional 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 highdimensional neuroimaging phenotypes in combination with other omics data, and how to make the resulting ultra-high-dimensional data easily accessible in neurodegeneration research.

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Producten

Titel: Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings
Auteur: 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
Magazine: Alzheimer's & Dementia

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Samenvatting van de aanvraag

1. Samenvatting (Engels) High-throughput technology can now provide rich information on a person's biological makeup and environmental surroundings. Important discoveries have been made by relating these data to various health outcomes in fields such as genomics, proteomics, and medical imaging. Cross-investigations between several high-throughput technologies remained impractical due to demanding computational requirements (hundreds of years of computing resources) and unsuitability for collaborative settings (terabytes of data to share). In HD-READY, our previous JPND Working Group, we developed methods that successfully overcome both of these issues. However, one key outstanding issue in neuroimaging is that these high-dimensional phenotypes (i.e., voxels, vertices) require an dedicated approach to harmonization, since they are not straightforward to compare between neuroimaging studies. In the Full-HD Working Group, we focus on this 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. 2. Publiekssamenvatting (Nederlands) Nieuwe technologieën hebben het mogelijk gemaakt om metingen te doen bij mensen die ons gedetailleerd inzicht geven in biologische processen en omgevingsfactoren. Door deze technologieën te koppelen aan medische gegevens zijn er belangrijke ontdekkingen gedaan, bijv. in het gebied van genetica en beeldverwerking. Het is echter nog steeds lastig om deze technologieën, die elk kunnen bestaan uit miljoenen meetpunten, met elkaar te combineren. In een voorgaand project, HD-READY, hebben wij statistische en logistische problemen opgelost die samengaan met het analyseren en uitwisselen van grote hoeveelheid informatie. Een ander belangrijk obstakel is hoe deze technologieën geharmoniseerd moeten worden tussen verschillende onderzoekscentra, die de metingen elk op een net iets andere manier hebben gedaan. In Full-HD richten wij ons op dit resterende probleem van harmonisatie van nieuwe technologieën, omdat dit centraal staat bij dit soort onderzoeken waar samenwerking essentieel is.

Kenmerken

Projectnummer:
733051032
Looptijd: 100%
Looptijd: 100 %
2016
2019
Gerelateerde subsidieronde:
Projectleider en penvoerder:
Prof. dr. M.A. Ikram
Verantwoordelijke organisatie:
Erasmus MC