courtois-neuromod / anat

Anatomical sub-dataset of Courtois-Neuromod project.

Courtois-NeuroMod: anat subdataset

The Courtois project on Neural Modelling (Courtois NeuroMod) aims at training artificial neural networks using extensive experimental data on individual human brain activity and behaviour.

This dataset contains anatomical sessions ongoingly acquired in the neuromod project (~4 sessions per year).

This subdataset is organized following the brain imaging data structure (BIDS) (including extensions in development) and contains:

• [x] raw brain imaging sequences
  • [x] T1-weighted MPRAGE 3D sagittal sequence (duration 6:38 min, TR = 2.4 s, TE = 2.2 ms, flip angle = 8 deg, voxel size = 0.8 mm isotropic, R=2 acceleration)
  • [x] T2-weighted FSE (SPACE) 3D sagittal sequence (duration 5:57 min, TR = 3.2 s, TE = 563 ms, voxel size = 0.8 mm isotropic, R=2 acceleration)
  • [x] Diffusion-weighted 2D axial sequence (duration 4:04 min, TR = 2.3 s, TE = 82 ms, 57 slices, flip angle = 78 deg, voxel size = 2 mm isotropic, phase-encoding P-A, SMS=3 through-plane acceleration, b-max = 3000 s/mm2). The same sequence was run with phase-encoding A-P to correct for susceptibility distortions.
  • [x] gradient-echo magnetization-transfer 3D sequence (duration 3:34 min, 28 = ms, TE = 3.3 ms, flip angle = 6 deg, voxel size = 1.5 mm isotropic, R=2 in-plane GRAPPA, MT pulse Gaussian shape centered at 1.2 kHz offset).
  • [x] gradient-echo proton density 3D sequence (same parameters as above, without the MT pulse).
  • [x] gradient-echo T1-weighted 3D sequence (same parameters as above, except: TR = 18 ms, flip angle = 20 deg).
  • [x] MP2RAGE 3D sequence (duration 7:26 min, TR = 4 s, TE = 1.51 ms, TI1 = 700 ms, TI2 = 1500 ms, flip angle 1 = 7 deg, flip angle 2 = 5 deg, voxel size = 1.2 mm isotropic, R=2 acceleration)
  • [x] Susceptibility-weighted 3D sequence (duration 4:54 min, TR = 27 ms, TE = 20 ms, flip angle = 15 deg)
• [x] cervical spinal cord imaging sequences imaging sequences.
  • [x] T1-weighted 3D sagittal sequence (duration 4:44 min, TR = 2 s, TE = 3.72 ms, flip angle = 9 deg, voxel size = 1.0 mm isotropic, R=2 acceleration)
  • [x] T2-weighted 3D sagittal sequence (duration 4:02 min, TR = 1.5 s, TE = 120 ms, flip angle = 120 deg, voxel size = 0.8 mm isotropic, R=3 acceleration)
  • [x] Diffusion-weighted 2D axial sequence (cardiac-gated with pulseOx, approximate duration 3 min, TR = 620 ms, TE = 60 ms, voxel size = 0.9 x 0.9 x 0.5 mm, phase-encoding A-P, b-max = 800 s/mm2)
  • [x] Gradient-echo magnetization-transfer 3D axial sequence (duration 2:12 min, TR = 35 ms, TE = 3.13 ms, flip angle = 9 deg, voxel size = 0.9 x 0.9 x 0.5 mm, R=2 acceleration, with MT Gaussian pulse)
  • [x] Gradient-echo proton-density weighted 3D axial sequence (same parameters as above, without the MT pulse).
  • [x] Gradient-echo T1-weighted 3D axial sequence (same parameters as above, except: TR = 15 ms, flip angle = 15 deg).
  • [x] gradient-echo ME (duration 4:45 min, TR = 600 ms, effective TE = 14 ms (this is a multi-echo sequence), flip angle = 30 deg, voxel size = 0.9 x 0.9 x 0.5 mm, R=2 acceleration)

Courtois NeuroMod data are freely shared with the scientific community to advance research at the interface of neuroscience and artificial intelligence. Access to to the data is based on a registered access model, see the Courtois NeuroMod website for more information. Redistribution of data outside of the Courtois NeuroMod data bank is prohibited.

Contributors

François Paugam 🔣	Amal 🔣	Basile 🎨 🤔 🔣	Julien Cohen-Adad 🎨 🤔 🔣	emilie-dessureault 🎨 🤔 📆 🔣	jboyle 🎨 🤔 📆 🔣	Marie-Eve Picard (she/her) 🔣
Pierre Bellec 🎨 🤔	Pravish Sainath 🔣	François Lespinasse 🔣	arnaudbore 🎨 🔣