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Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings
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-through...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441785/ https://www.ncbi.nlm.nih.gov/pubmed/30976649 http://dx.doi.org/10.1016/j.dadm.2019.02.003 |
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author | 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 |
author_facet | 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 |
author_sort | Adams, Hieab H.H. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6441785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64417852019-04-11 Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings 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 Alzheimers Dement (Amst) Special Section: Brain Imaging Working Group Summaries for the European Joint Programme for Neurodegenerative Disease Research (JPND). (Guest Editors: Jorge Jovicich & Giovanni B. Frisoni) 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. Elsevier 2019-03-30 /pmc/articles/PMC6441785/ /pubmed/30976649 http://dx.doi.org/10.1016/j.dadm.2019.02.003 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special Section: Brain Imaging Working Group Summaries for the European Joint Programme for Neurodegenerative Disease Research (JPND). (Guest Editors: Jorge Jovicich & Giovanni B. Frisoni) 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 Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings |
title | Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings |
title_full | Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings |
title_fullStr | Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings |
title_full_unstemmed | Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings |
title_short | Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings |
title_sort | full exploitation of high dimensionality in brain imaging: the jpnd working group statement and findings |
topic | Special Section: Brain Imaging Working Group Summaries for the European Joint Programme for Neurodegenerative Disease Research (JPND). (Guest Editors: Jorge Jovicich & Giovanni B. Frisoni) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441785/ https://www.ncbi.nlm.nih.gov/pubmed/30976649 http://dx.doi.org/10.1016/j.dadm.2019.02.003 |
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