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MRI Brain

INDI Beijing Short TR

Beijing Normal University Short TR Sample (INDI)

Resting-state fMRI acquired twice per person at a very short and a conventional sampling rate, plus structural and diffusion MRI, for comparing resting-state measures across sampling rates. 28 healthy college-aged volunteers at Beijing Normal University.

Overview

The Beijing Short TR sample is a prospective release of the International Neuroimaging Data-sharing Initiative (INDI), contributed by Yu-Feng Zang's group at the State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University. Each volunteer had a resting-state scan with a conventional repetition time and a second one with a very short repetition time. The pairing allows comparing resting-state measures from the same people at two sampling rates.

Composition

The release table lists nine packages with 2 to 4 people each, 28 healthy college-aged volunteers in total. Each person has two resting-state fMRI runs of about 8 minutes, a defaced MPRAGE anatomical image, a 64-direction diffusion tensor scan and demographic data. The packages are NIfTI archives. The page announced weekly uploads of 3 subjects.

Acquisition

The scan parameter pages give a Siemens TrioTim at 3 T. The conventional run has TR 2000 ms, TE 30 ms, flip angle 90°, 3.5 mm slices and 240 volumes. The fast run has TR 400 ms, TE 26 ms, flip angle 40°, 6 mm slices and 1200 volumes, both with 3.125 mm in-plane pixels. The MPRAGE has TR 2530 ms, TE 3.39 ms, TI 1100 ms and 1.33 mm slices. For the diffusion scan the release page points to the protocol of the Beijing Eyes Open Eyes Closed sample.

Annotations

There are no image labels. Phenotypic data are limited to demographics.

Known limitations

  • The sample is small, and the release was organized in increments, so the total depends on the packages listed on the page.
  • The diffusion protocol is documented only through the printout of a sister release.
  • Sex and age counts are not stated on the public pages.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 28 subjects.

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wdwiboldSubjects with exactly this set
28

Summary in Beijing Short TR Sample release page, FCP/INDI Prospective (summary, data release table, usage agreement)

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
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Access page

1000 Functional Connectomes Project / INDI terms (Creative Commons Attribution Non-Commercial, no version stated)

Non-commercial use only, after registering with the 1000 Functional Connectomes Project on NITRC. The NITRC project lists a Creative Commons Attribution Non-Commercial license without a version: derived works must credit the source and stay non-commercial but need not use the same license.

The release page states "Creative Commons License: Attribution - Non-Commercial" as its usage agreement. Downloads need a NITRC account and membership in the 1000 Functional Connectomes Project on NITRC.

Original license text Version read: License field "Attribution Non-Commercial" on the NITRC fcon_1000 project page (no Creative Commons version named) and the access statement on the INDI home page, read 2026-10-08 Checked 2026-10-08

What you can do

  • No
  • Not stated
  • Not stated
  • Conditional
  • Not stated

What you can share

  • Not stated
  • Conditional
  • Share trained models Not stated

What you must do

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

Limits

  • No
  • Location limits No

Commercial license: Not stated

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.