Physiological Contribution in Spontaneous Oscillations: An Approximate Quality - Assurance Index for Resting-State fMRI Signals
For validating the sensitivity of the proposed PICSO index (a new quality-assurance index for resting state fMRI) to functional connectivity, both fMRI dataset of phantom and human during resting state were acquired. The resting-state human dataset (n=12, age: 26.4 ± 2.1 y, females/males: 6/6) was acquired at four image resolutions:
1.3 × 1.3 × 2 mm3
2 × 2 × 2 mm3
3 × 3 × 3 mm3
5 × 5 × 5 mm3
Moreover, a spherical water phantom was scanned using identical imaging protocols. Besides, T1-weighted structural images and B0 field map were acquired as well.
Code and same data are included as well.
- Chen, JH
- Wu, CW
- Fan, HY
- Chao, YP
- Chou, KH
- Hsu, AL
Acknowledgements and Funding:
This study was supported in part by Ministry of Science and Technology (MOST 104- 2321-B-002-040, MOST 103-2320-B-008-001, and MOST 104-2221-E-008-123), Veterans General Hospitals University System of Taiwan Joint Research Program (VGHUST103-G1-4-3), the Chang Gung Memorial Hospital (BMRPC78) and Chang Gung University Research Project (UERPD2D0081).
External Publication Links:Physiological Contribution in Spontaneous Oscillations: An Approximate Quality-Assurance Index for Resting-State fMRI Signals.
Siemens 3T Trio system with a 12-channel head coil.
How to cite this dataset:
In addition to any citation requirements in the dataset summary please use the following to cite this dataset:
This data was obtained from the OpenfMRI database. Its accession number is ds000172
Direct Links to data:
Revision: 1.0.1 Date Set: Oct. 31, 2017, midnight
- Corrected participants_id in participants.tsv
- Added mriqc reports
Revision: 1.0.0 Date Set: March 4, 2016, 6:40 p.m.