The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database

Anneke Alkemade; Martijn J. Mulder; Josephine M. Groot; Bethany R. Isaacs; Nikita van Berendonk; Nicky Lute; Scott J. S. Isherwood; Pierre-Louis Bazin; Birte U. Forstmann

doi:10.1016/j.neuroimage.2020.117200

The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database

Anneke Alkemade^*
, Martijn J. Mulder
, Josephine M. Groot
, Bethany R. Isaacs
, Nikita van Berendonk
, Nicky Lute
, Scott J. S. Isherwood
, Pierre-Louis Bazin
, Birte U. Forstmann

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Normative databases allow testing of novel hypotheses without the costly collection of magnetic resonance imaging (MRI) data. Here we present the Amsterdam Ultra-high field adult lifespan database (AHEAD). The AHEAD consists of 105 7 Tesla (T) whole-brain structural MRI scans tailored specifically to imaging of the human subcortex, including both male and female participants and covering the entire adult life span (18-80 yrs). We used these data to create probability maps for the subthalamic nucleus, substantia nigra, internal and external segment of the globus pallidus, and the red nucleus. Data was acquired at a submillimeter resolution using a multi-echo (ME) extension of the second gradient-echo image of the MP2RAGE sequence (MP2RAGEME) sequence, resulting in complete anatomical alignment of quantitative, R-1-maps, R-2*-maps, T-1-maps, T-1-weighted images, T-2*-maps, and quantitative susceptibility mapping (QSM). Quantitative MRI maps, and derived probability maps of basal ganglia structures are freely available for further analyses.

Original language	English
Article number	117200
Number of pages	7
Journal	Neuroimage
Volume	221
DOIs	https://doi.org/10.1016/j.neuroimage.2020.117200
Publication status	Published - 1 Nov 2020

Keywords

Ultra-high field 7 Tesla structural MRI
Subcortex
Probabilistic maps
Basal ganglia
SEGMENTATION
MRI

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Alkemade, A., Mulder, M. J., Groot, J. M., Isaacs, B. R., van Berendonk, N., Lute, N., Isherwood, S. J. S., Bazin, P.-L., & Forstmann, B. U. (2020). The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database. Neuroimage, 221, Article 117200. https://doi.org/10.1016/j.neuroimage.2020.117200

@article{7de1fe6196f14b039dd6462f54570eee,

title = "The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database",

abstract = "Normative databases allow testing of novel hypotheses without the costly collection of magnetic resonance imaging (MRI) data. Here we present the Amsterdam Ultra-high field adult lifespan database (AHEAD). The AHEAD consists of 105 7 Tesla (T) whole-brain structural MRI scans tailored specifically to imaging of the human subcortex, including both male and female participants and covering the entire adult life span (18-80 yrs). We used these data to create probability maps for the subthalamic nucleus, substantia nigra, internal and external segment of the globus pallidus, and the red nucleus. Data was acquired at a submillimeter resolution using a multi-echo (ME) extension of the second gradient-echo image of the MP2RAGE sequence (MP2RAGEME) sequence, resulting in complete anatomical alignment of quantitative, R-1-maps, R-2*-maps, T-1-maps, T-1-weighted images, T-2*-maps, and quantitative susceptibility mapping (QSM). Quantitative MRI maps, and derived probability maps of basal ganglia structures are freely available for further analyses.",

keywords = "Ultra-high field 7 Tesla structural MRI, Subcortex, Probabilistic maps, Basal ganglia, SEGMENTATION, MRI",

author = "Anneke Alkemade and Mulder, \{Martijn J.\} and Groot, \{Josephine M.\} and Isaacs, \{Bethany R.\} and \{van Berendonk\}, Nikita and Nicky Lute and Isherwood, \{Scott J. S.\} and Pierre-Louis Bazin and Forstmann, \{Birte U.\}",

note = "Funding Information: The authors would like to thank Drs. Matthan Caan, Wietske van der Zwaag and Mr. Steven Miletic for their technical expertise, and all the undergraduate students that have contributed to the parcellations and that assisted with creating and testing of the parcellation protocols. The research described here is financially supported by STW/NWO (\#14017, BUF, MJM and AA), ERC PoC (BUF), NWO Vici (BUF). Funding Information: The authors would like to thank Drs. Matthan Caan, Wietske van der Zwaag and Mr. Steven Miletic for their technical expertise, and all the undergraduate students that have contributed to the parcellations and that assisted with creating and testing of the parcellation protocols. The research described here is financially supported by STW/NWO (\#14017, BUF, MJM and AA), ERC PoC (BUF), NWO Vici (BUF). Publisher Copyright: {\textcopyright} 2020 The Author(s)",

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doi = "10.1016/j.neuroimage.2020.117200",

language = "English",

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AU - Alkemade, Anneke

AU - Mulder, Martijn J.

AU - Groot, Josephine M.

AU - Isaacs, Bethany R.

AU - van Berendonk, Nikita

AU - Lute, Nicky

AU - Isherwood, Scott J. S.

AU - Bazin, Pierre-Louis

AU - Forstmann, Birte U.

N1 - Funding Information: The authors would like to thank Drs. Matthan Caan, Wietske van der Zwaag and Mr. Steven Miletic for their technical expertise, and all the undergraduate students that have contributed to the parcellations and that assisted with creating and testing of the parcellation protocols. The research described here is financially supported by STW/NWO (#14017, BUF, MJM and AA), ERC PoC (BUF), NWO Vici (BUF). Funding Information: The authors would like to thank Drs. Matthan Caan, Wietske van der Zwaag and Mr. Steven Miletic for their technical expertise, and all the undergraduate students that have contributed to the parcellations and that assisted with creating and testing of the parcellation protocols. The research described here is financially supported by STW/NWO (#14017, BUF, MJM and AA), ERC PoC (BUF), NWO Vici (BUF). Publisher Copyright: © 2020 The Author(s)

PY - 2020/11/1

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N2 - Normative databases allow testing of novel hypotheses without the costly collection of magnetic resonance imaging (MRI) data. Here we present the Amsterdam Ultra-high field adult lifespan database (AHEAD). The AHEAD consists of 105 7 Tesla (T) whole-brain structural MRI scans tailored specifically to imaging of the human subcortex, including both male and female participants and covering the entire adult life span (18-80 yrs). We used these data to create probability maps for the subthalamic nucleus, substantia nigra, internal and external segment of the globus pallidus, and the red nucleus. Data was acquired at a submillimeter resolution using a multi-echo (ME) extension of the second gradient-echo image of the MP2RAGE sequence (MP2RAGEME) sequence, resulting in complete anatomical alignment of quantitative, R-1-maps, R-2*-maps, T-1-maps, T-1-weighted images, T-2*-maps, and quantitative susceptibility mapping (QSM). Quantitative MRI maps, and derived probability maps of basal ganglia structures are freely available for further analyses.

AB - Normative databases allow testing of novel hypotheses without the costly collection of magnetic resonance imaging (MRI) data. Here we present the Amsterdam Ultra-high field adult lifespan database (AHEAD). The AHEAD consists of 105 7 Tesla (T) whole-brain structural MRI scans tailored specifically to imaging of the human subcortex, including both male and female participants and covering the entire adult life span (18-80 yrs). We used these data to create probability maps for the subthalamic nucleus, substantia nigra, internal and external segment of the globus pallidus, and the red nucleus. Data was acquired at a submillimeter resolution using a multi-echo (ME) extension of the second gradient-echo image of the MP2RAGE sequence (MP2RAGEME) sequence, resulting in complete anatomical alignment of quantitative, R-1-maps, R-2*-maps, T-1-maps, T-1-weighted images, T-2*-maps, and quantitative susceptibility mapping (QSM). Quantitative MRI maps, and derived probability maps of basal ganglia structures are freely available for further analyses.

KW - Ultra-high field 7 Tesla structural MRI

KW - Subcortex

KW - Probabilistic maps

KW - Basal ganglia

KW - SEGMENTATION

KW - MRI

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DO - 10.1016/j.neuroimage.2020.117200

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SN - 1053-8119

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JO - Neuroimage

JF - Neuroimage

M1 - 117200

ER -

The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database

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Keywords

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