NeuroSpin

The dataset includes resting state, diffusion, and structural data from 10 monkeys.

Usage Agreement

Creative Commons – Attribution-NonCommercial Share Alike (CC-BY-NC-SA)- Standard INDI data sharing policy. Prohibits use of the data for commercial purposes.

Species

Macaca mulatta

Sample Description

• Sample size: 10
• Age distribution: 4-15
• Weight distribution: 5-11
• Sex distribution: 2 female, 8 male

Scan Procedures and Parameters

Ethics approval: CETEA # 10-003, CETEA # 12-086, CETEA # 16-040, CETEA # 16-043 institution IRB and Government

Animal care and housing: single or pairing

Any applicable training: fixation training

Scanning preparations

Anesthesia procedures: several procedures ketamine/propofol/sevoflurane

Time between anesthesia and scanning: 1 hour

Head fixation: Yes for some of the animals

Position in scanner and procedure used: Sphinx

Contrast agent: with and without MION (USPIO)

During scanning

Physiological monitoring: heart rate, breathing rate, temperature, EtCO₂, SpO₂

Additional procedures: mechanical ventilation, fluid heating system [e.g., ventilation systems, body temperature maintenance, etc…]

Scan sequences

• Scanner type: Siemens TIM Trio, Siemens Prisma Fit
• Head coil: 1 ch TxRx coil, 1Tx-8Rx ch coil
• Optimization of the magnetic field prior to data acquisition: manual adjustment
• Resting-state:
  • Voxel resolution: mm
  • TE: ms
  • TR: ms
  • Volumes:
  • Flip angle: °
• Diffusion-weighted:
  • Voxel resolution: mm
  • TE: ms
  • TR: ms
  • Slice gap: mm
  • b-value: s/mm²
• Structural:
  • T1
  • Voxel resolution: mm
  • TE: ms
  • TR: ms
  • TI: ms
  • Flip angle: °

Personnel

• Bechir Jarraya¹
• Stanislas Dehaene¹

¹NeuroSpin, CEA Saclay, Gif-sur-Yvette, France

Acknowledgements

CEA, University Paris-Saclay, Inserm, Fondation de France, ERC

Funding

Inserm, CEA, ERC

Downloads

Click here to download the data. Users will first be prompted to log on to NITRC and will need to register with the 1000 Functional Connectomes Project website on NITRC to gain access to the PRIME-DE datasets.