anat¶
Key facts¶
Subjects |
6 — |
Assets |
How to cite
Boudreau, M., Karakuzu, A., Boré, A., Pinsard, B., Zelenkovski, K., et al. (2025). Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers. Imaging Neuroscience, 3. doi: 10.1162/imag_a_00409
Contributors
François Paugam 🔣 · Amal Boukhdhir 🔣 · Basile Pinsard 🎨🤔🔣 · Julien Cohen-Adad 🎨🤔🔣 · Emilie Dessureault 🎨🤔📆🔣 · Julie Boyle 🎨🤔📆🔣 · Marie-Eve Picard 🔣 · Lune Bellec 🎨🤔 · Pravish Sainath 🔣 · François Lespinasse 🔣 · Arnaud Bore 🎨🔣
🔣 data · 🎨 design · 🤔 ideas · 📆 project management
Overview¶
The anatomical dataset includes longitudinal anatomical images of the brain and upper spinal cord at an approximate rate of 4 sessions a year. The primary intended use of this dataset is to monitor the structural stability of the brain of participants for the duration of the study. Many quantitative measures of brain structure can also be derived and included in analyses, such as gray matter morphometry, tractography or measures of myelination. Cortical flat maps cut with TkSurfer 6.0.0 are provided with the freesurfer derivatives for visualization.
Acquisition sequences¶
The MRI sequences are described in more detailed in Brain anatomical sequences and Spinal cord anatomical sequences, including pdfs of the Siemens exam cards.
Brain T1w, T2w and DWI were copied from the HCP aging and development protocol for Prisma MRI scanner. Other sequences were selected and optimized by the Courtois NeuroMod team.
Defacing¶
All images covering the face were anonymized by zeroing the data in the face, teeth and ears regions with a custom mask warped from the MNI space based on a linear registration of the T1w brain MRI series. This defacing script is available here