University of Rochester Medical Center / Del Monte Institute for Neuroscience

This MRI dataset includes anatomical and resting-state fMRI data from 3 non-human primates.

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

Macaque fascicularis

Sample Description

Click here for the full sample description (.csv)

Scan Procedures and Parameters

Ethics approval: all experimental procedures for nonhuman primate research were approved by the University Committee on Animal Resources (UCAR) at University of Rochester and conformed to National Institutes of Health guidelines for the humane care and use of laboratory animals.

Animal care and housing: animals were housed in a single cage.

Any applicable training: None

Scanning preparations

Anesthesia procedures: Animals were anesthetized with isofluorane gas between 1-1.25% immediately prior to scanning. Scans lasted approximately 1-2 hours and consisted of additional sequences not published here.

Head fixation: non-human primates were stabilized in stereotaxic apparatus

Position in scanner and procedure used: sphynx

During scanning

Physiological monitoring: respiratory rate and end-tidal CO2 were monitored. Animals were ventilated by an MRI compatible ventilator.

Scan sequences

Investigators

1 University of Rochester Del Monte Institute for Neuroscience

Personnel

1 University of Rochester Del Monte Institute for Neuroscience

2 University of Rochester Department of Biomedical Engineering

3 Nvidia Corporation

Acknowledgements

Funding

This dataset was supported by URMC Center for Advanced Brain Imaging and Neurophysiology (06/01/2018 - 06/01/2021 | "Large-scale Granger causality modeling of resting-state data in the macaque: validating an approach")

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.