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 journalArticleAcademicpeer-review

20 Citations (Web of Science)

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 languageEnglish
Article number117200
Number of pages7
JournalNeuroimage
Volume221
DOIs
Publication statusPublished - 1 Nov 2020

Keywords

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

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