Neuroimaging data from a stop signal task in young amateur soccer players
Authors
Jürgen Birklbauer
University of Salzburg
Cite this dataset
Use the following reference, when citing this dataset in your work:
Richlan, F., Birklbauer, J., Denissen, M., Pawlik, M., Kronbichler, M., Hutzler, F. Neuroimaging data from a stop signal task in young amateur soccer players [Data set] (Commit: 7ae51bdc). Austrian NeuroCloud.
In addition to the data, cite the following publication:
Denissen, M. J. M., Richlan, F., Birklbauer, J., Pawlik, M., Ravenschlag, A. N., Himmelstoß, N. A., Hutzler, F., & Robbins, K. (2024). Actionable Event Annotation and Analysis in fMRI: A Practical Guide to Event Handling. Methods for Analyzing Large Neuroimaging Datasets, 117–151. https://doi.org/10.1007/978-1-0716-4260-3_7
Dataset license and access
License: CC-BY-NC-ND-4.0
Access: open
By accessing this dataset, you agree to the terms of the included license. Visit the dataset to explore its contents
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Subjects count
Total
5
Female
0
Male
5
Other
0
BIDS data types
Subjects age histogram
Percentage of subject per age range
| Age bin | Ratio of subjects |
|---|---|
| [ 0.0 - 10.0 ) | |
| [ 10.0 - 20.0 ] |
Dataset description
This data is a subset of an ongoing study at the Paris Lodron University of Salzburg, collecting data from young amateur soccer players while they perform a stop signal task. This data has been as part of a book chapter on event annotation and analysis using tools for hierarchical event descriptors (HED). The data of five participants is made available here.
Within this repository you can find the following data files for each participant, organized according to BIDS (see specification):
Participant data (age, sex) is available in the participant files (participants.tsv and participants.json). Explanation of the event data and detailed annotations in HED are available in task-soc21gng_events.json.
Data has also been preprocessed using fMRIprep version 21.0.2. Results are available in the derivates directory.
Reports on data quality can be viewed here.
Participants performed a stop-signal task. They were presented with white arrows, and had to respond by pressing the left or right key on the button box placed in their hand. On some trials the arrow turned red after some delay, meaning that the participants had to stop their response. The participants are young amateur soccer players, who are expected to have high performance on this task. The time between the white arrow appearing and turning red is adapted in a thresholding procedure, in order to create an average performance on the stop-trials of 50%.
This data is currently available under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
The data is managed by Austrian NeuroCloud, supported by the Austrian Federal Ministry of Education, Science and Research (BMBWF) under grant number 2920. The data has been processed on Database Research Cluster.
This data can be used to follow along with a tutorial on event handling, annotation and analysis. A preprint is currently available here. For any questions related to the tutorial, contact monique.denissen@plus.ac.at.
