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A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort
Parkinson׳s disease (PD) is a neurodegenerative disease that primarily affects the motor functions of the patients. Research and surgical treatment of PD (e.g., deep brain stimulation) often require human brain atlases for structural identification or as references for anatomical normalization. Howe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413210/ https://www.ncbi.nlm.nih.gov/pubmed/28491942 http://dx.doi.org/10.1016/j.dib.2017.04.013 |
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author | Xiao, Yiming Fonov, Vladimir Chakravarty, M. Mallar Beriault, Silvain Al Subaie, Fahd Sadikot, Abbas Pike, G. Bruce Bertrand, Gilles Collins, D. Louis |
author_facet | Xiao, Yiming Fonov, Vladimir Chakravarty, M. Mallar Beriault, Silvain Al Subaie, Fahd Sadikot, Abbas Pike, G. Bruce Bertrand, Gilles Collins, D. Louis |
author_sort | Xiao, Yiming |
collection | PubMed |
description | Parkinson׳s disease (PD) is a neurodegenerative disease that primarily affects the motor functions of the patients. Research and surgical treatment of PD (e.g., deep brain stimulation) often require human brain atlases for structural identification or as references for anatomical normalization. However, two pitfalls exist for many current atlases used for PD. First, most atlases do not represent the disease-specific anatomy as they are based on healthy young subjects. Second, subcortical structures, such as the subthalamic nucleus (STN) used in deep brain stimulation procedures, are often not well visualized. The dataset described in this Data in Brief is a population-averaged atlas that was made with 3 T MRI scans of 25 PD patients, and contains 5 image contrasts: T1w (FLASH & MPRAGE), T2*w, T1–T2* fusion, phase, and an R2* map. While the T1w, T2*w, and T1–T2* fusion templates provide excellent anatomical details for both cortical and sub-cortical structures, the phase and R2* map contain bio-chemical features. Probabilistic tissue maps of whiter matter, grey matter, and cerebrospinal fluid are provided for the atlas. We also manually segmented eight subcortical structures: caudate nucleus, putamen, globus pallidus internus and externus (GPi & GPe), thalamus, STN, substantia nigra (SN), and the red nucleus (RN). Lastly, a co-registered histology-derived digitized atlas containing 123 anatomical structures is included. The dataset is made freely available at the MNI data repository accessible through the link http://nist.mni.mcgill.ca/?p=1209. |
format | Online Article Text |
id | pubmed-5413210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-54132102017-05-10 A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort Xiao, Yiming Fonov, Vladimir Chakravarty, M. Mallar Beriault, Silvain Al Subaie, Fahd Sadikot, Abbas Pike, G. Bruce Bertrand, Gilles Collins, D. Louis Data Brief Data Article Parkinson׳s disease (PD) is a neurodegenerative disease that primarily affects the motor functions of the patients. Research and surgical treatment of PD (e.g., deep brain stimulation) often require human brain atlases for structural identification or as references for anatomical normalization. However, two pitfalls exist for many current atlases used for PD. First, most atlases do not represent the disease-specific anatomy as they are based on healthy young subjects. Second, subcortical structures, such as the subthalamic nucleus (STN) used in deep brain stimulation procedures, are often not well visualized. The dataset described in this Data in Brief is a population-averaged atlas that was made with 3 T MRI scans of 25 PD patients, and contains 5 image contrasts: T1w (FLASH & MPRAGE), T2*w, T1–T2* fusion, phase, and an R2* map. While the T1w, T2*w, and T1–T2* fusion templates provide excellent anatomical details for both cortical and sub-cortical structures, the phase and R2* map contain bio-chemical features. Probabilistic tissue maps of whiter matter, grey matter, and cerebrospinal fluid are provided for the atlas. We also manually segmented eight subcortical structures: caudate nucleus, putamen, globus pallidus internus and externus (GPi & GPe), thalamus, STN, substantia nigra (SN), and the red nucleus (RN). Lastly, a co-registered histology-derived digitized atlas containing 123 anatomical structures is included. The dataset is made freely available at the MNI data repository accessible through the link http://nist.mni.mcgill.ca/?p=1209. Elsevier 2017-04-15 /pmc/articles/PMC5413210/ /pubmed/28491942 http://dx.doi.org/10.1016/j.dib.2017.04.013 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Xiao, Yiming Fonov, Vladimir Chakravarty, M. Mallar Beriault, Silvain Al Subaie, Fahd Sadikot, Abbas Pike, G. Bruce Bertrand, Gilles Collins, D. Louis A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort |
title | A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort |
title_full | A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort |
title_fullStr | A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort |
title_full_unstemmed | A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort |
title_short | A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort |
title_sort | dataset of multi-contrast population-averaged brain mri atlases of a parkinson׳s disease cohort |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413210/ https://www.ncbi.nlm.nih.gov/pubmed/28491942 http://dx.doi.org/10.1016/j.dib.2017.04.013 |
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