Lyon Neuroscience Research Center (CRNL)

The dataset includes resting state and structural data from 4 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: 4
• Age distribution: 5-12
• Weight distribution: 5-7 kg
• Sex distribution: All female

Phenotypic Assessments

Scan Procedures and Parameters

Ethics approval: Project authorized by the French Ministry for Higher Education and Research (project no. 20-12-0401-005) in accordance with the French transposition texts of Directive 2010/63/UE, based on ethical evaluation by the French Committee on the Ethics of Experiments in Animals (C2EA) CELYNE registered at the national level as C2EA number 42.

Animal care and housing:

Any applicable training:

Scanning preparations

Anesthesia procedures:

Time between anesthesia and scanning:

Head fixation:

Position in scanner and procedure used:

Contrast agent: MION

During scanning

Physiological monitoring:

Additional procedures:

Scan sequences

• Scanner type: Siemens Sonata 1.5T, Siemens Prisma 3T
• Head coil:
• Optimization of the magnetic field prior to data acquisition:
• Resting-state:
  • Voxel resolution: 2 x 3 x 3 mm
  • TE: 27ms
  • TR: 2s
  • 400 TRs per run
  • Volumes:
  • Flip angle: °
• Structural:
  • T1
  • Voxel resolution: mm
  • TE: ms
  • TR: ms
  • TI: ms
  • Flip angle: °
  • T2
  • Voxel resolution: mm
  • TE: ms
  • TR: ms

Publications

Personnel

• Fadila Hadj-Bouziane
• Martine Meunier
• Carole Guedj

INSERM, U1028, CNRS UMR5292, Lyon Neuroscience Research Center, ImpAct Team, Lyon, F-69000, France; University UCBL Lyon 1, F-69000, France

Acknowledgements

Funding

French National Research Agency (ANR) (ANR-14-CE13-0005-1) grant

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.