Hippocampal Connectivity Face-Blend fMRI (ds007063)
Hippocampal connectivity predicting memory specificity and memory generalization abilities
T1-weighted MRI, resting-state fMRI and four runs of passive-viewing task fMRI with blended face images from 52 young adults, collected to relate hippocampal connectivity to memory specificity and generalization. BIDS, CC0.
Overview
This OpenNeuro dataset comes from a University of Oregon memory study that asks whether the way the hippocampus connects with the rest of the brain explains why some people remember single episodes in detail while others are better at extracting what episodes share. Participants first rested in the scanner and then passively watched blended face images, each made by mixing a parent face from one of three families with a second, unrelated face. Scores from categorisation and recognition tests are shared for every participant. Snapshot 1.0.0 was published in December 2025 under a CC0 waiver. No journal article is linked from the dataset page.
Composition
The release holds 52 participants aged 18 to 28 (mean about 20), each with one session. By self-reported gender, 33 are male, 18 female and one other. Subject numbers run up to 70 with gaps, and the dataset page does not say why the missing numbers were left out. Every participant has one T1-weighted image, one resting-state run and four passive-viewing runs. The participants file adds a categorisation score (corrected hit rate) and a recognition accuracy per person.
Acquisition
All images come from a Siemens Skyra 3T scanner with a 32-channel head coil at the University of Oregon in Eugene, according to the image sidecar files. The T1-weighted scan is a 1 mm MPRAGE. Functional runs use a multiband (factor 3) gradient-echo echo-planar sequence with a repetition time of 2 s, an echo time of 25 ms and 2 mm slices.
Annotations
There are no image annotations. Each passive-viewing run has an events file with trial onsets and durations, the face-blend shown, its category-relevant and category-irrelevant parent faces and their family labels.
Known limitations
- Participants are young adults only; the dataset page states no inclusion criteria or health screening.
- No paper describing recruitment, exclusions or the behavioural tests is linked, so the meaning of the two scores rests on the short descriptions in participants.json.
- No field map or T2-weighted image is included.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 52 subjects.
Sex
- Female 18 35%
- Male 33 63%
- Other 1 2%
gender in participants.tsv of the ds007063 BIDS repository (CC0), columns age and gender
Scanner vendor
- Siemens Healthineers 52 100%
Age
mean 19.8 ± 2.1, median 19, range 18 to 28
age in participants.tsv of the ds007063 BIDS repository (CC0), columns age and gender
Contrast / sequence
Groups can overlap
- T1-weighted 52 100%
- BOLD fMRI 52 100%
anat/*_T1w.nii.gz, func/*_bold.nii.gz in File listing and JSON sidecars of the ds007063 BIDS repository (CC0), NIfTI files counted per subject folder, sidecar fields Manufacturer, ManufacturersModelName, MagneticFieldStrength and InstitutionAddress
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
52 |
anat and func NIfTI files in File listing and JSON sidecars of the ds007063 BIDS repository (CC0), NIfTI files counted per subject folder, sidecar fields Manufacturer, ManufacturersModelName, MagneticFieldStrength and InstitutionAddress
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
Download without an account
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 1.0.0 states "License" CC0.
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
Brannigan KR, Frank LE, Zeithamova D. Hippocampal connectivity predicting memory specificity and memory generalization abilities. OpenNeuro ds007063, version 1.0.0 (2025). doi:10.18112/openneuro.ds007063.v1.0.0
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.
- OpenNeuro ds007063 snapshot 1.0.0 (dataset_description.json, README, CHANGES, participants.json and snapshot size) website
- participants.tsv of the ds007063 BIDS repository (CC0), columns age and gender computed
- File listing and JSON sidecars of the ds007063 BIDS repository (CC0), NIfTI files counted per subject folder, sidecar fields Manufacturer, ManufacturersModelName, MagneticFieldStrength and InstitutionAddress computed