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MRI Brain

Empathic Pain Task (ds006243)

Empathic Pain Task: fMRI after loving-kindness meditation or muscle relaxation training

Preprocessed task fMRI of adults who completed four weeks of loving-kindness meditation or progressive muscle relaxation, scanned while they received or watched a partner receive pressure pain, to test how loneliness relates to neural empathy. Shared as MNI-space BOLD with event timings.

Overview

This OpenNeuro release (ds006243) holds the fMRI part of a preregistered randomized trial at Georgetown University. Adults from the Washington DC area completed four weeks of online loving-kindness meditation or progressive muscle relaxation as an active control, and about half were then scanned during an empathic pain task. The study asked whether the training lowers loneliness and whether loneliness relates to self-reported or neural empathy (PsyArXiv preprint, Dressel et al. 2025). The data were first published in May 2025 under CC0; the current snapshot is 1.1.2 from November 2025.

Composition

The snapshot has 54 subjects: 29 from the meditation group and 25 from the relaxation group, all scanned within two weeks of finishing training. The preprint reports 108 trial completers in total; only the scanned half is included. Each subject has two task runs. No participants.tsv is shared, so age and sex of the scanned subjects are not available in the release.

Acquisition

Scanning took place at Georgetown's Center for Functional and Molecular Imaging on a 3 T Siemens TIM Trio. The protocol included a T1-weighted MP-RAGE (1 mm isotropic) and T2*-weighted EPI (46 slices, 3 mm isotropic, TR 2.5 s, TE 30 ms). In each trial an auditory cue signalled whether pressure pain would follow, then a pneumatic device pressed on the right thumbnail. One run covered the participant's own pain and the other a study partner's pain, seen on a live video feed. The release contains only fMRIPrep 23.0.0 outputs: preprocessed BOLD for both runs, resampled to the MNI152NLin2009cAsym and MNI152NLin6Asym templates.

Annotations

There are no image annotations. A separate events folder gives per-subject timing files for cue, anticipation, stimulation and rest periods, plus confound and outlier regressors.

Known limitations

  • Raw images and the T1-weighted scans are not shared; only normalized BOLD is.
  • No demographics are released.
  • The README states a 64-channel head coil, while the preprint states a 12-channel coil.
  • Confound files are trimmed to 290 volumes but the BOLD series are not, so users must trim them before analysis.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 54 subjects.

Contrast combinations

How many subjects have exactly each set of contrasts.

boldSubjects with exactly this set
54

sub-*/ in File tree of ds006243 snapshot 1.1.2 (CC0), NIfTI files counted per subject and template space

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 1.1.2 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

Dressel M, Nero N, Freeburg P, Somers M, VanMeter AS, Rhoads SA, Marsh AA. Empathic Pain Task (ds006243, version 1.1.2). OpenNeuro (2025). doi:10.18112/openneuro.ds006243.v1.1.2

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.