I have recently started adopting the Brain Imaging Data Structure (BIDS; Gorgolewski et al., 2016 for my functional and structural MRI datasets. I am working on sharing my EEG data using the same format. This effort will help ensure that my datasets can easily be shared and analyzed by other researchers around the world, and goes hand in hand with sharing analysis code through github and other services, as part of my overall strategy towards open and and reproducible science. Links to my publicly available datasets are shown below.
event-related design | 19 participants | whole-brain | 2 mm isotropic | 2-sec TR
published in: Kanayet, F., Mattarella-Micke, A., Kohler, P. J., Norcia, A. M., McCandliss, B. and McClelland, J. L. (2018). Distinct representations of magnitude and spatial position within parietal cortex during number-space mapping. Journal of Cognitive Neuroscience 30 200-218.
T1w, T2w, inplane T1 | 30+ participants | whole-brain
Anatomical data collected in the Stanford Vision and Neurodevelopment Lab. Associated with:
Kohler PJ, Cottereau, BR, Norcia, AM (2019). Image segmentation Based on Relative Motion and Relative Disparity Cues in topographically organized Areas of Human Visual Cortex. Scientific Reports.
Multicue Experiment 1 (fixation task)
steady-state block design | 15 participants | whole-brain | 2 mm isotropic | 2-sec TR
published in: Kohler PJ, Cottereau, BR, Norcia, AM (2019). Image segmentation Based on Relative Motion and Relative Disparity Cues in topographically organized Areas of Human Visual Cortex. Scientific Reports.
Multicue Experiment 2 (central letter task)
steady-state block design | 15 participants | whole-brain | 2 mm isotropic | 2-sec TR
published in: Kohler PJ, Cottereau, BR, Norcia, AM (2019). Image segmentation Based on Relative Motion and Relative Disparity Cues in topographically organized Areas of Human Visual Cortex. Scientific Reports.