Skip to content

AHEAD 3T High-Resolution Multi-Shell Diffusion MRI Dataset

Choose a tag to compare

View all tags
@data-hcp data-hcp released this 24 Mar 14:20
ahead
3f46f7f
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

Amsterdam Ultra-high Field Adult Lifespan Database

This release provides the 3T diffusion MRI component of the Amsterdam Ultra-high field adult lifespan database (AHEAD). The dataset includes high-resolution, multi-shell, whole-brain diffusion MRI from healthy adults spanning a wide adult age range, and is intended to support studies of structural connectivity and brain aging across the lifespan.

The data were released to facilitate methodological development and neuroscientific investigations requiring high-quality diffusion MRI with sufficient angular and shell sampling.

Dataset Overview

  • Dataset title: A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD)
  • DOI: https://doi.org/10.21942/uva.16884703
  • Release date: 2021-10-28
  • Author: M.C. Keuken
  • Total size: 24.2 GB
  • Participants: 49 healthy adults
  • Age range: 18–90 years
  • Research area: Brain & Cognition

Imaging Summary

This dataset contains 1.28 mm isotropic whole-brain diffusion MRI acquired at 3 Tesla.

Diffusion scheme

  • b = 700 s/mm²: 48 directions
  • b = 1000 s/mm²: 56 directions
  • b = 1600 s/mm²: 64 directions
  • b = 0 s/mm²: 12 volumes
  • Reversed phase-encoding b0 volumes: 8 volumes for distortion correction

This combination provides a multi-shell, multi-directional diffusion acquisition suitable for tensor fitting, higher-order reconstruction, tractography, and microstructure modeling.

Preprocessing Included

To facilitate reuse, the released diffusion data were already processed with standard correction steps:

  • Denoising
  • Eddy current correction
  • Susceptibility-induced distortion correction
  • Bias field correction
  • Skull stripping

These preprocessing steps make the dataset suitable for downstream analyses without requiring users to start from raw diffusion volumes.

Scientific Use

The AHEAD 3T diffusion MRI dataset is suitable for:

  • Lifespan studies of white matter organization
  • Tractography and connectome reconstruction
  • Multi-shell diffusion model development
  • Method benchmarking for preprocessing and reconstruction
  • Aging-related analyses of structural connectivity
  • Cross-dataset comparisons with other adult lifespan diffusion MRI resources

Because the sample spans early adulthood through old age, the dataset can be useful for studying age-associated trends in diffusion-derived measures and connectivity patterns.

Funding

The data were acquired with support from:

  • STW/NWO (#14017, BUF, MJM and AA)
  • Health~Holland TKI-PPP (LL, MWAC)
  • ERC Consolidator (BUF)
  • ERC PoC (BUF)
  • NWO Vici (BUF)

Retention

  • Retention period: through 2041-11-01

Citation

Please cite the dataset using its DOI:

Keuken, M.C.
A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD).
Dataset posted 2021-10-28.
DOI: https://doi.org/10.21942/uva.16884703

Notes for This Repository

This repository may provide reorganized files and derivative outputs for easier use in diffusion MRI workflows. Users should still acknowledge the original AHEAD dataset and DOI in any publication or derivative work.

If derivative diffusion files are included here, they are intended to support tractography, connectometry, and reproducible diffusion analysis pipelines.

Assets 152
Loading