Skip to content
MRI Brain

Foreign-language lexical stress fMRI (Fribourg)

functional MRI study on the language stress perception in a foreign language

Task fMRI and T1-weighted brain MRI of healthy young French and Swiss-German speakers judging Spanish word pairs for stress or vowel differences, collected to study the brain basis of hearing word stress in an unknown language.

Overview

This release holds the raw MRI of a University of Fribourg project on "stress deafness": the difficulty that speakers of a fixed-stress language such as French have in hearing where the stress falls in words of a free-stress language. Volunteers with no knowledge of Spanish heard pairs of recorded Spanish verb forms and pressed a button to say whether the two words were the same. In some blocks the pairs differed only in which syllable carried the stress, in others only in the final vowel, which lets the stress condition be contrasted with a matched phonemic control. The data are organised in BIDS and were deposited on Zenodo in December 2022, with funding from the Swiss National Science Foundation.

Composition

The participants table lists 91 young adults aged 18 to 29 (60 female, 31 male). 51 have French and 40 Swiss German as their first language. A column in the table flags 6 people that the authors excluded from their analyses, because of response box faults or head motion in more than 10% of volumes; their images are still included. Every subject has one T1-weighted scan, two task runs and a gradient-echo fieldmap. The Brain and Behavior paper analyses a subset of 30 French speakers, and a second paper in Neuropsychologia uses the data as well.

Acquisition

All scanning took place on a GE Discovery MR750 at 3 T with a 32-channel head coil. The anatomical scan is a coronal T1-weighted sequence with 0.86 x 0.86 x 1 mm voxels. Each functional run has 264 echo-planar volumes at a TR of 2 s, 36 axial slices and 2.3 x 2.3 x 3 mm voxels. The task alternates stress and vowel blocks of eight word pairs, each followed by 8 s of rest, for 24 blocks per run. The fieldmap comes from two spoiled gradient-echo acquisitions with echo times of 4.9 and 7.3 ms, recorded after the second run.

Known limitations

The record lists CC BY 4.0 as its license, while the README and dataset description inside the release name the Open Data Commons Attribution License 1.0. Both require attribution only. File naming is not fully BIDS-compliant: the functional runs of sub-63 lack the bold suffix, and the fieldmaps are stored as real, imaginary and magnitude images. The acquisition details above come from the paper and were reported for its 30 analysed participants.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 91 subjects.

Contrast / sequence

Groups can overlap

  • T1-weighted 91 100%
  • BOLD fMRI 91 100%

sub-*/anat/*_T1w.nii.gz, sub-*/func/*.nii.gz in File list of data.zip in Zenodo record 7031880, read from the archive's central directory

Age

mean 22.9 ± 2.4, median 23, range 18 to 29

0
20
40
60
80
86
10-1920-29

age in participants.tsv of Zenodo record 7031880 (CC BY 4.0 / ODC-By 1.0)

Condition

Groups can overlap

  • Healthy control 91 100%

record description in Zenodo record 7031880 (record metadata, README.txt, dataset_description.json and BIDS sidecar JSON files)

Age by sex

Reported cross table. Missing cells were not published (fewer than 10 or not reported).

Female Male
  • 55
    20-29
    31

sex; age in participants.tsv of Zenodo record 7031880 (CC BY 4.0 / ODC-By 1.0)

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wboldSubjects with exactly this set
91

sub-*/ in File list of data.zip in Zenodo record 7031880, read from the archive's central directory

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

Different parts of the data carry different licenses. The summary on the right shows the most restrictive answer per rule.

For Whole release, per the license field of the Zenodo record.

Creative Commons Attribution 4.0 International

Use, share and adapt the data for any purpose, including commercial use, as long as you credit the creators.

Original license text Version read: 4.0 Checked 2026-10-07

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Yes

What you must do

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

Limits

  • No
  • Location limits No
For Whole release, per README.txt and the License field of dataset_description.json in the release.

Open Data Commons Attribution License v1.0

Use, change and share the database for any purpose, including commercial use, as long as you credit it and keep the license notice. Shared copies of the database or of a derived database must stay under this license. The license covers the database rights, not separate rights in the individual contents.

Original license text Version read: 1.0 Checked 2026-10-11

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Conditional

What you must do

  • Yes
  • Conditional
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Schwab S, Mouthon M, Jost LB, Salvadori J, Stefanos-Yakoub I, Ferreira da Silva E, Giroud N, Perriard B, Annoni JM. Neural correlates of lexical stress processing in a foreign free-stress language. Brain and Behavior 13(1), e2854 (2023). doi:10.1002/brb3.2854

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.