fMRI tasks

Below a diverse set of Presentation and E-Prime task scripts is provided under the GNU General Public License. Most of the Presentation tasks work with a so-called 'playlist' text file that specifies the task events (actions) and their parameters. The advantage of this approach is that event and stimulus order can be easily adapted or randomized and custom events can easily be added.

Food image viewing

Standardized food and non-food images can be obtained from the F4H Image Collection or other online resources like the FoodPics or FRIDa database. Note that images from the latter databases may not be optimized for use in fMRI tasks. It is highly recommended to obtain appropriate ratings from the different image categories, in particular liking and to pre-test images in your study population(s) (liking, familiarity, other parameters of interest).

  • Block design food viewing task DOWNLOAD

     Usage examples: Food (high-calorie, low-calorie) and Non-food viewing, Charbonnier et al. 2018. Healthy and unhealthy food viewing, Van Meer et al. 2016.

Food choice

We offer a variety of food choice tasks. It is crucial to collect ratings on the choice options (liking, caloric content, healthiness), either before or after scanning. Pretest to check for familiarity!

 Olfactory stimulation

 For olfactory stimuli it is crucial to consider familiarity and recognizability, especially when presented in the absence of a visual cue. In addition, odor intensity and liking should be assessed.

 Taste stimulation and consumption

Although water can in some studies be seen as the 'vehicle', for most gustatory studies it is recommended to use a control solution (artificial saliva).

 Other tasks


EC logo drap cmyk Supported by European Union Seventh Framework Programme under Grant Agreement 607310. Nudge it logo

The Nutritional Neuroscience Lab is affiliated with the Image Sciences Institute of the UMC Utrecht, The Netherlands.