1/1
2 files

bmrk3_6levels_pain_dataset.mat

Download all (158.81 MB) This item is shared privately
dataset
modified on 03.08.2018, 23:32
p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Courier; color: #b245f3} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Courier; min-height: 12.0px} p.p3 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Courier; color: #b245f3; min-height: 12.0px} p.p4 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Courier} p.p5 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Courier; min-height: 14.0px} span.s1 {color: #000000} span.s2 {color: #b245f3}

This dataset includes 33 participants, with brain responses to six levels

of heat (non-painful and painful).

The file format is an fmri_data object from the CANlab Core Tools repository for neuroimaging data analysis.

See https://canlab.github.io/

Aspects of this data appear in these papers:

Wager, T.D., Atlas, L.T., Lindquist, M.A., Roy, M., Choong-Wan, W., Kross, E. (2013).

An fMRI-Based Neurologic Signature of Physical Pain. The New England Journal of Medicine. 368:1388-1397

(Study 2)

Woo, C. -W., Roy, M., Buhle, J. T. & Wager, T. D. (2015). Distinct brain systems

mediate the effects of nociceptive input and self-regulation on pain. PLOS Biology. 13(1):

e1002036. doi:10.1371/journal.pbio.1002036

Lindquist, Martin A., Anjali Krishnan, Marina López-Solà, Marieke Jepma, Choong-Wan Woo,

Leonie Koban, Mathieu Roy, et al. 2015. ?Group-Regularized Individual Prediction:

Theory and Application to Pain.? NeuroImage.

http://www.sciencedirect.com/science/article/pii/S1053811915009982.


Funding

NIMH, NIDA (TDW)