About the dataset

This dataset contains ABCD-protocol single-echo BOLD scans, along with complex-valued, multi-echo BOLD scans for comparison. The multi-echo BOLD protocol uses the CMRR MB-EPI sequence, and comes from collaborators at UMinn. These scans include five echoes with both magnitude and phase reconstruction.

The primary goal of this dataset was to evaluate the usability of the multi-echo fMRI protocol in a larger study, via direct comparison to the ABCD fMRI protocol, as well as via test-retest reliability analyses. However, these data may be useful to others (e.g., for testing complex-valued models, applying phase regression to multi-echo data, testing multi-echo denoising methods).

Dataset contents This dataset includes 8 participants, each with between 1 and 3 sessions. MR data were acquired using a 3-Tesla Siemens Prisma MRI scanner. More information about the dataset here.

PI Theodore D. Satterthwaite
Institution University of Pennsylvania
Study Website Single-echo/multi-echo comparison pilot
Data Descriptor https://openneuro.org/datasets/ds005250/versions/1.1.5
CUBIC Project open-datasets
DUA None
License CC BY-NC-SA
Sample Size 8
Number of Sessions 17
CuBIDS false
BABS false
Demographics View available demographics data
Average Age (y) 24.5
% Female 50
% Right Handed
BIDS Dataset
/cbica/projects/open-datasets/datasets/mobile_phenomics_pilot/ds005250
FreeSurfer v7.3.2
Longitudinal pipeline run by fMRIPrep
/cbica/projects/open-datasets/datasets/mobile_phenomics_pilot/derivatives/fmriprep-24.0.1/sourcedata
fMRIprep v24.0.1
(17/17 complete)
/cbica/projects/open-datasets/datasets/mobile_phenomics_pilot/derivatives/fmriprep-24.0.1


Funding
AE Foundation
Penn-CHOP Lifespan Brain Institute
NIMH R01MH113550

Citations
Taylor Salo and M. Dylan Tisdall and Lia Brodrick and Adam Czernuszenko and David R. Roalf and Sage Rush-Goebel and Nicholas Wellman and Matthew Cieslak and Theodore D. Satterthwaite (2024). Single-echo/multi-echo comparison pilot. OpenNeuro. [Dataset] doi: doi:10.18112/openneuro.ds005250.v1.1.5