2019 Conference on Cognitive Computational Neuroscience

13-16 September 2019    Berlin, Germany

Technical Program

Paper Detail

Paper: PS-1A.55
Session: Poster Session 1A
Location: H Lichthof
Session Time: Saturday, September 14, 16:30 - 19:30
Presentation Time:Saturday, September 14, 16:30 - 19:30
Presentation: Poster
Publication: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
Paper Title: The Amsterdam Open MRI Collection (AOMIC): A Collection of Publicly Available Population Imaging Datasets.
Manuscript:  Click here to view manuscript
License: Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
DOI: https://doi.org/10.32470/CCN.2019.1216-0
Authors: Lukas Snoek, Maite van der Miesen, Tinka Beemsterboer, University of Amsterdam, Netherlands; Andries van der Leij, BrainsFirst, Netherlands; H. Steven Scholte, University of Amsterdam, Netherlands
Abstract: We present the Amsterdam Open MRI Collection (AOMIC): three datasets with multimodal (3T) MRI data including structural (T1-weighted), diffusion-weighted, resting-state, and task-based functional (BOLD) MRI scans, as well as detailed demographic and individual difference traits (including age, intelligence, and personality scores), from a large set of healthy participants (N = 933, N = 224, and N = 238). All data will be made freely available on the Openneuro data sharing platform. Raw data were anonymized and converted to a standardized format (BIDS) and underwent extensive (automated and manual) quality control. Additionally, the datasets include several derivatives, including quality control reports and metrics, preprocessed (anatomical and functional MRI) data, and preprocessed physiology data (cardiac and respiratory traces). Notably, task-based fMRI was collected during various robust paradigms (targeting cognitive conflict, emotion recognition, working memory, face perception, cognitive control, and response inhibition) for which extensively annotated event-files are available. In addition to the raw data, all code that was used to convert, transform, and (pre)process the data is available online.