# The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses

**Authors:** Lukas Snoek, Maite M. van der Miesen, Tinka Beemsterboer, Andries van der Leij, Annemarie Eigenhuis, H. Steven Scholte

bioRxiv · DOI: 10.1101/2020.06.16.155317 · bioRxiv · 2020-01-01

## TL;DR

The Amsterdam Open MRI Collection provides three multimodal MRI datasets with detailed demographics and psychometric variables from healthy participants for studying individual differences.

## Contribution

The novel contribution is the release of three large, multimodal MRI datasets with extensive preprocessing and quality control for individual difference analyses.

## Key findings

- The datasets include structural, diffusion, and functional MRI data from 928, 226, and 216 healthy participants.
- Task-based fMRI data is available with annotated event-files for paradigms like naturalistic vision and working memory.
- All data is publicly accessible via Openneuro with both raw and preprocessed versions compliant with BIDS.

## Abstract

We present the Amsterdam Open MRI Collection (AOMIC): three datasets with multimodal (3T) MRI data including structural (T1-weighted), diffusion-weighted, and (resting-state and task-based) functional BOLD MRI data, as well as detailed demographics and psychometric variables from a large set of healthy participants (N = 928, N = 226, and N = 216). Notably, task-based fMRI was collected during various robust paradigms (targeting naturalistic vision, emotion perception, working memory, face perception, cognitive conflict and control, and response inhibition) for which extensively annotated event-files are available. For each dataset and data modality, we provide the data in both raw and preprocessed form (both compliant with the Brain Imaging Data Structure), which were subjected to extensive (automated and manual) quality control. All data is publicly available from the Openneuro data sharing platform.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/10.1101/2020.06.16.155317/full.md

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/10.1101/2020.06.16.155317/full.md

## References

98 references — full list in the complete paper: https://tomesphere.com/paper/10.1101/2020.06.16.155317/full.md

---
Source: https://tomesphere.com/paper/10.1101/2020.06.16.155317