The Qoala-T tool can be used to automatically check the quality of MRI images processed in FreeSurfer. The source code and model are publicly available online (see https://github.com/Qoala-T/QC ). For researchers who easily want to use Qoala-T for their own FreeSurfer-processed scans, there is an online Shiny app that does not require any coding at all. The Qoala-T tool provides a Qoala-T score (ranging from 0 to 100) for every single scan (see https://qoala-t.shinyapps.io/qoala-t_app/ ). This makes it possible to report average Qoala-T ratings for each dataset.
Klapwijk, E.T., van de Kamp, F., van der Meulen, M., Peters, S., & Wierenga, L.M. (2019). Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data. Neuroimage, 189, 116-129. https://doi.org/10.1016/j.neuroimage.2019.01.014.
Hungry Donkey Task
Here you can download an English version of the Hungry Donkey Task (child version of the Iowa Gambling Task). This task is programmed in E-prime. This task can be used by other researchers. References can be found in publications.
Download the file