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

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

2021Scientific Data168 citationsDOIOpen Access PDF

Abstract

We present the Amsterdam Open MRI Collection (AOMIC): three datasets with multimodal (3 T) 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.

Topics & Concepts

Computer scienceData setModality (human–computer interaction)Task (project management)Artificial intelligenceSet (abstract data type)Raw dataPerceptionCognitionPattern recognition (psychology)PsychologyNeuroscienceProgramming languageEconomicsManagementFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications
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