Standard

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; More Authors.

In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Vol. 11, 2019, p. 286-290.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Adams, HHH, Roshchupkin, GV, DeCarli, C, Franke, B, Grabe, HJ, Habes, M, Jahanshad, N, Medland, SE, Niessen, W & More Authors 2019, 'Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings' Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, vol. 11, pp. 286-290. https://doi.org/10.1016/j.dadm.2019.02.003

APA

Adams, H. H. H., Roshchupkin, G. V., DeCarli, C., Franke, B., Grabe, H. J., Habes, M., ... More Authors (2019). Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 11, 286-290. https://doi.org/10.1016/j.dadm.2019.02.003

Vancouver

Adams HHH, Roshchupkin GV, DeCarli C, Franke B, Grabe HJ, Habes M et al. Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 2019;11:286-290. https://doi.org/10.1016/j.dadm.2019.02.003

Author

Adams, Hieab H.H. ; Roshchupkin, Gennady V. ; DeCarli, Charles ; Franke, Barbara ; Grabe, Hans J. ; Habes, Mohamad ; Jahanshad, Neda ; Medland, Sarah E. ; Niessen, Wiro ; More Authors. / Full exploitation of high dimensionality in brain imaging : The JPND working group statement and findings. In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 2019 ; Vol. 11. pp. 286-290.

BibTeX

@article{46a9e71329f44aadbfa2978af11ba7ee,
title = "Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings",
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.",
keywords = "Genetics, High-dimensional, Neuroimaging, Omics, Voxel-based morphometry, Voxels",
author = "Adams, {Hieab H.H.} and Roshchupkin, {Gennady V.} and Charles DeCarli and Barbara Franke and Grabe, {Hans J.} and Mohamad Habes and Neda Jahanshad and Medland, {Sarah E.} and Wiro Niessen and {More Authors}",
year = "2019",
doi = "10.1016/j.dadm.2019.02.003",
language = "English",
volume = "11",
pages = "286--290",
journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",
issn = "2352-8729",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Full exploitation of high dimensionality in brain imaging

T2 - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

AU - Adams, Hieab H.H.

AU - Roshchupkin, Gennady V.

AU - DeCarli, Charles

AU - Franke, Barbara

AU - Grabe, Hans J.

AU - Habes, Mohamad

AU - Jahanshad, Neda

AU - Medland, Sarah E.

AU - Niessen, Wiro

AU - More Authors, null

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Genetics

KW - High-dimensional

KW - Neuroimaging

KW - Omics

KW - Voxel-based morphometry

KW - Voxels

UR - http://www.scopus.com/inward/record.url?scp=85063480768&partnerID=8YFLogxK

U2 - 10.1016/j.dadm.2019.02.003

DO - 10.1016/j.dadm.2019.02.003

M3 - Article

VL - 11

SP - 286

EP - 290

JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

SN - 2352-8729

ER -

ID: 52903318