A multi-subject, multi-modal human neuroimaging dataset
This dataset contains data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages.
- Henson, RN
- Wakeman, DG
Contact Information:Name: Daniel Wakeman
Name: Rik Henson
External Publication Links:A multi-subject, multi-modal human neuroimaging dataset
Siemens 3T TIM TRIO
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 ds000117
Direct Links to data:
Revision: 1.0.0 Date Set: Nov. 11, 2017, 10:48 p.m.
- Converted to BIDS format
- Changed subject order (see README)
Revision: 0.1.1 Date Set: Sept. 17, 2016, 4:41 a.m.
- Replaced ds117_R0.1.0/sub004/MEG/run_02_sss.fif and ds117_R0.1.0/sub006/MEG/run_03_sss.fif since the original versions were corrupted
Revision: 0.1.0 Date Set: Nov. 3, 2014, 7:56 p.m.
- Initial release