California Institute of Technology

The dataset includes functional data from 2 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.

Scanner Specifications

• Scanner type: 3T horizontal bore scanner (Siemens Tim Trio) with head-only gradient insert (Siemens AC88)
• Coil: 8-channel phased array coil
• Optimization of the magnetic field prior to data acquisition: Shimming was used prior to the operation of the magnet to eliminate inhomogeneities in the magnetic field.

Species

Macaca mulatta

Sample Description

• Sample size: 2
• Age distribution: 4-6 years
• Weight distribution: 5-7 kg
• Sex distribution: both male

Scan Procedures and Parameters

Ethics approval: All experimental procedures conformed to US National Institutes of Health guidelines. The monkey protocol was approved by Caltech Institutional Animal Care and Use Committee (protocol # 1574).

Any applicable training: Monkeys were trained/rewarded for keeping their gaze within the screen window.

Anesthesia procedures: Monkeys were awake during scans.

Time between anesthesia and scanning: N/A

Head fixation: MRI-compatible plastic headpost

Position in scanner and procedure used: Sphinx position

Contrast agent: Exogenous MION-based contrast agent (Feraheme; 8-10 mg/kg IV)

Scan sequences

• Naturalistic viewing:
  • Voxel resolution: 1 x 1 x 1 mm
  • TE: 16ms
  • TR: 2000ms
  • Flip angle: 90°
  • Stimulus: Each monkey watched a complete movie (Baraka, 1992) in 10 functional runs (sound was not played). The first 3 and the last 7 TR of each run were blanks. The monkeys made free eye movements during the scans.

Publications

Functional parcellation of visual cortex in humans and monkeys

Personnel

• Reza Rajimehr¹ (rajimehr@mit.edu)
• Doris Tsao² (dortsao@caltech.edu)

¹McGovern Institute for Brain Research, Massachusetts Institute of Technology
²Department of Computation and Neural Systems, California Institute of Technology

Acknowledgements

We would like to thank Nicole Schweers, Simon Kornblith, and Robert Desimone.

Funding

NIH grant R01 EY019702 to D.T.

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.