Skip to content
MRI Brain

Pragmatic Language (ds003481)

A Dataset to Study Pragmatic Language and Its Underlying Cognitive Processes

Brain fMRI and T1-weighted MRI of healthy Spanish-speaking young adults in Mexico, collected to study how people understand non-literal language such as speech acts, proverbs and metaphors, with resting-state runs and psychometric scores.

Overview

This dataset pools the MRI of six studies on pragmatic language run at the Universidad Nacional Autónoma de México between 2016 and 2019. Pragmatics covers how listeners recover a speaker's intended meaning beyond the literal words, for example in speech acts, proverbs and metaphors. Each study used its own fMRI paradigm, and all share a T1-weighted scan and a set of psychometric tests of language, theory of mind and executive function. The data descriptor appeared in Frontiers in Human Neuroscience in 2021, and the data are on OpenNeuro under CC0.

Composition

The paper and the OpenNeuro README describe 145 neurotypical, Mexican-born adults with Spanish as their first language: 79 women and 66 men, aged 17 to 35 years (median 23.46). Every subject folder holds one T1-weighted image and at least one BOLD run, 717 NIfTI files in total. The task runs cover speech act recognition, speech act and facial emotion categorization, an emotion face matching task, proverb comprehension, metaphor comprehension and a one-back task on verbs and pseudo-verbs. 104 subjects have a resting-state run. A behavioral table with the shared test scores, events files for the task runs and MRIQC quality reports are included.

Acquisition

All scans come from one 3 T GE Discovery MR750 with a 32-channel head coil at the national MRI laboratory of UNAM in Juriquilla. The anatomical image is a 1 mm isotropic 3D spoiled gradient echo T1-weighted scan. Task and resting-state fMRI used the same gradient echo EPI with TR 2 s, TE 40 ms, 38 slices and 4 mm isotropic voxels.

Known limitations

  • Each protocol scanned a different subset of the cohort, so task samples are small (17 to 28 subjects per task) and overlap only in part.
  • The README describes a resting-state test-retest study with a second visit six months later for 16 people, but the BIDS tree has no sessions and one resting-state run per subject.
  • There is no participants table, so sex and age per subject are not released.
  • Several studies are cited as theses or as in preparation, so task details rest mostly on the README and the project description files.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 145 subjects.

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wboldSubjects with exactly this set
145

From File tree and T1w JSON sidecars of ds003481 (CC0), NIfTI files counted per subject folder

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

Download without an account

Access page

Creative Commons Zero 1.0 Universal

Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.

dataset_description.json of snapshot 1.0.4 states "License" CC0.

Original license text Version read: 1.0 Checked 2026-10-07

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Yes

What you must do

  • No
  • Share alike No
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Rasgado-Toledo J, Lizcano-Cortés F, Olalde-Mathieu VE, Licea-Haquet G, Zamora-Ursulo MA, Giordano M, Reyes-Aguilar A. A Dataset to Study Pragmatic Language and Its Underlying Cognitive Processes. Front. Hum. Neurosci. 15:666210 (2021). doi:10.3389/fnhum.2021.666210

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.