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Beijing Normal University (BNU) – Connectivity-Based Brain Imaging Research Database (C-BIRD)

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Learn about vigilant mode.

This dataset was collected at Beijing Normal University (BNU) as part of the Connectivity-based Brain Imaging Research Database (C-BIRD) and contributed to the Consortium for Reliability and Reproducibility (CoRR). It includes multimodal MRI data from 57 healthy young adults who completed two scan sessions approximately six weeks apart, designed to assess test–retest reliability and temporal stability of functional and structural brain connectivity.

Each participant (aged 19–30 years; 30 males, 27 females) was right-handed and reported no neurological or psychiatric disorders.
The first session included two resting-state fMRI scans (separated by about 20 minutes), a T1-weighted anatomical scan, a T2-weighted structural scan, and a diffusion tensor imaging (DTI) scan.
The second session, acquired about six weeks later, included resting-state fMRI, T1-weighted, and DTI scans.
During each resting scan, participants were instructed to rest quietly with eyes closed, remain still, relax, and avoid falling asleep.

Written informed consent was obtained from all participants, and the study was approved by the Institutional Review Board of the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University.

Overview

  • Dataset name: Beijing Normal University (BNU) – C-BIRD
  • Institution: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
  • Principal Investigator: Yong He
  • DOI: 10.15387/fcp_indi.corr.bnu1
  • Sample: 57 healthy young adults (30 male / 27 female, age 19–30)
  • Sessions: 2 sessions (~6 weeks apart; 40.9 ± 4.5 days)
  • Modalities: Resting-state fMRI, T1-weighted, T2-weighted, and DTI
  • Condition: Eyes closed, resting-state, no task

Investigators

Principal Investigator

  • Yong He, State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China

Acknowledgments
Qixiang Lin, Ruiwang Huang, Gaolang Gong, Mingrui Xia
(State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, BNU)

Funding

  • National Natural Science Foundation of China (81030028)
  • National Science Fund for Distinguished Young Scholars (81225012)
  • CERS-China Equipment and Education Resources System (CERS-1-52)

Scan Parameters

Modality Description
Resting-state fMRI Two runs in Session 1 (~20 min apart) and one run in Session 2
T1-weighted MRI High-resolution anatomical image
T2-weighted MRI Structural contrast for tissue delineation
DTI Diffusion tensor imaging for white-matter connectivity

Detailed sequence parameters are provided in the CoRR documentation.

Downloads

Data are hosted via the NITRC portal.
Users must log in and be registered with the INDI group to download.

Data Type Description Access
Imaging Data BNU_1_0025864 – BNU_1_0025920 NITRC Download Page (login required)
Phenotypic Data Participant demographics and metadata BNU_Phenotypic_Data

License and Citation

Use of this dataset is governed by the INDI / CoRR Data Use Agreement.
Please review and comply with:
http://fcon_1000.projects.nitrc.org/indi/corr/html/data_citation.html

Please cite and acknowledge:

He Y., Lin Q., Huang R., Gong G., Xia M., et al. Beijing Normal University (BNU) – Connectivity-Based Brain Imaging Research Database (C-BIRD).
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China.
DOI: 10.15387/fcp_indi.corr.bnu1

Source

© 2014 The INDI Team. Prepared for redistribution under data-indi/bnu by the Pittsburgh Fiber Data Hub.

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