Georgetown University

Archakov_DeWitt_Kusmierek_et_al_2020_PNAS

The data include a T1 map, a functional dataset with multiple contrasts, and an aligned D99 atlas, plus additional functional dataset from monkey Ra (early training). Functional datasets are unthresholded statistical maps。

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 (data were collected over several years)

• Sample size: 2
• Ra: male, 8-13 years
• Do: female, 6-9 years

Scanning preparations

Anesthesia procedures:

Anatomical scans: anesthetized, isoflurane anesthesia.

Functional scans: awake, performing auditory discrimination task under attentional control by saccade task.

Scan sequences

• Anatomical:
  • T1
  • Sequence: MP-RAGE sequence
  • 4-5 averages
  • Voxel resolution: 0.5 x 0.5 x 0.5 mm
  • TE: 3.0ms
  • TR: 2500ms
  • Flip angle: 8°
  • FOV: 116 × 96 × 128
  • Matrix size: 232 × 192 × 256
• Functional:
  • Sequence: interleaved single-shot gradient-echo echo-planar (GE-EPI) sequence
  • 4-5 averages
  • Voxel resolution: 0.5 x 0.5 x 0.5 mm
  • TE: 34ms
  • TR: 2180ms
  • Flip angle: 90°
  • FOV: 100 × 100
  • Matrix size: 66 × 66
  • Slice thickness: 1.9mm
  • Collection Voxel size: 1.5 × 1.5 × 1.9
  • Resampled Voxel size: 0.5 × 0.5 × 0.5

Publications

Archakov D*, DeWitt I*, Kuśmierek P*, Ortiz-Rios M, Cameron D, Cui D, Morin EL, VanMeter JW, Sams M, Jääskeläinen IP, Rauschecker JP. Auditory representation of learned sound sequences in motor regions of the macaque brain. (2020) Proc Natl Acad Sci U S A, in press.

Personnel

• Denis Archakov, PhD
• Iain DeWitt, PhD
• Paweł Kuśmierek, PhD
• Michael Ortiz-Rios, PhD
• John W. VanMeter, PhD
• Mikko Sams, PhD
• Iiro P. Jääskeläinen, PhD
• Josef P. Rauschecker, PhD (PI)

Acknowledgements

Elyse Morin, Ding Cui, and Dr. Daniel Cameron contributed to the data acquisition and/or analysis. We thank Drs. Max Riesenhuber, Peter Turkeltaub, Xiong Jiang and Ms. Jessica Jacobs for comments on the manuscript, Dr. Lars Rogenmoser for advice on EMG recordings, and Jeff Bloch for help with data collection and analysis.

Funding

NIH R01DC014989

NSF PIRE-OISE-0730255

Academy of Finland #276643

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.