Evidence map›Paper›PMID 33741990›Full record

ArticleScientific data2021

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

Abstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Lifespan Normative Modeling of Brain Microstructure.bioRxiv : the preprint server for biology · 2025
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23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lukas SnoekUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands. lukassnoek@gmail.com.ORCID http://orcid.org/0000-0001-8972-204X
Maite M van der MiesenUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1505-9665
Tinka BeemsterboerUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands.
Andries van der LeijUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands.
Annemarie EigenhuisUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands.
H Steven ScholteUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Magnetic Resonance ImagingBrainFemaleHumansMale

Identifiers

PMID33741990
PMCPMC7979787

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.