Which multiband factor should you choose for your resting-state fMRI study? The Emory Multiband Dataset

uploaded by Benjamin Risk on 2021-02-23 - 3 months ago
last modified on 2021-03-20 - about 2 months ago
authored by Benjamin Risk, Raphiel Murden, Junjie Wu, Mary Beth Nebel, Arun Venkataraman, Zhengwu Zhang, Deqiang Qiu
4326
We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-10/func/sub-10_task-rest_acq-MB3PA_bold.nii.gz

The most common set of dimensions is: 104,104,72,8 (voxels), This file has the dimensions: 104,104,72,5 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.91s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 2.70s.

/sub-28/func/sub-28_task-rest_acq-MB3PA_bold.nii.gz

The most common set of dimensions is: 104,104,72,8 (voxels), This file has the dimensions: 104,104,72,5 (voxels).

/sub-31/func/sub-31_task-rest_acq-MB12_bold.nii.gz

The most common set of dimensions is: 104,104,72,688 (voxels), This file has the dimensions: 104,104,72,700 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 0.51s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 0.50s.

/sub-31/func/sub-31_task-rest_acq-MB2_bold.nii.gz

The most common set of dimensions is: 104,104,72,125 (voxels), This file has the dimensions: 104,104,72,128 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 2.85s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 2.78s.

/sub-31/func/sub-31_task-rest_acq-MB3PA_bold.nii.gz

The most common set of dimensions is: 104,104,72,8 (voxels), This file has the dimensions: 104,104,72,5 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.91s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 1.86s.

/sub-31/func/sub-31_task-rest_acq-MB3_bold.nii.gz

The most common set of dimensions is: 104,104,72,188 (voxels), This file has the dimensions: 104,104,72,190 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.91s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 1.86s.

/sub-31/func/sub-31_task-rest_acq-MB4_bold.nii.gz

The most common set of dimensions is: 104,104,72,248 (voxels), This file has the dimensions: 104,104,72,252 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.44s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 1.40s.

/sub-31/func/sub-31_task-rest_acq-MB6_bold.nii.gz

The most common set of dimensions is: 104,104,72,364 (voxels), This file has the dimensions: 104,104,72,368 (voxels).

/sub-31/func/sub-31_task-rest_acq-MB8_bold.nii.gz

The most common set of dimensions is: 104,104,72,478 (voxels), This file has the dimensions: 104,104,72,484 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 0.74s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 0.72s.

/sub-31/func/sub-31_task-rest_acq-SB2mm_bold.nii.gz

The most common set of dimensions is: 104,104,72,64 (voxels), This file has the dimensions: 104,104,72,66 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 5.67s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 5.53s.


OpenNeuro Accession Number: ds003540
Files: 627, Size: 92.04GB, Subjects: 32, Session: 1
Available Tasks: rest
Available Modalities: T1w, bold, sbref

README

Introduction ------------ The Emory Multiband Dataset was collected to examine the impacts of multiband acceleration on resting-state fMRI. We collected factors of 2, 3, 4, 6, 8, 9, and 12 with 2-mm isotropic resolution, and additionally 2 mm and 3.3 mm single-band acquisitions, from thirty-two subjects.

Acquisition Protocols --------------------- The acquisition protocols included 6-min scans with AP phase encoding: * single-band with 3.3 mm voxel size (TR 3.0 s) * single-band with 2 mm voxel size (TR 5.67) * multiband with factors 2 (TR 2.85), 3 (TR 1.91), 4 (TR 1.44), 6 (TR 0.962), 8 (TR 0.736), 9 (TR 0.675), 12 (TR 0.512).

In addition: * MB 3 with PA phase encoding; we used this PA SBRef in topup and did not use the bold series (which contained 8 volumes).

sub-28 and sub-31 do not have MB9 acquisitions.

Flip angles were set to achieve the Ernst angle.

Each participant's data is from a single session in the same scanner, and two scanners with identical hardware specifications and software version were used throughout the study (MAGNETOM PrismaFit, software version E11C, Siemens Healthcare, Erlangen, Germany). A thirty-two channel head coil was used.

Example processing scripts are available from the Brain Research in Imaging Statistics Kit at https://github.com/thebrisklab

Task Description: "rest" -------------------------- Participants were asked to lay motionless and look at a cross-hair during resting-state scans.

Defacing -------- Pydeface was used on all anatomical images to ensure de-identification of subjects. The code can be found at https://github.com/poldracklab/pydeface

Authors

  • Benjamin Risk
  • Raphiel Murden
  • Junjie Wu
  • Mary Beth Nebel
  • Arun Venkataraman
  • Zhengwu Zhang
  • Deqiang Qiu

Dataset DOI

10.18112/openneuro.ds003540.v1.0.1

License

CC0

Acknowledgements

We would like to thank Sarah Basadre, Michael Larch, Sonny Roh, and Samira Yeboah for MRI acquisition and Dr. Lei Zhou for computational support.

How to Acknowledge

Please reference B. Risk, R. Murden, J. Wu, M. Nebel, A. Venkataraman, Z. Zhang, and D. Qiu. "Which multiband factor should you choose for your resting-state fMRI study?" NeuroImage, in press.

https://www.sciencedirect.com/science/article/pii/S1053811921002421

Funding

  • Image acquisition supported by the Dean's Pilot Grant from the Rollins School of Public Health, Emory University and a Pilot Grant from the Center for Systems Imaging at Emory University
  • The research was partially supported by NIH R21AG066970.

References and Links

Ethics Approvals

  • This study was approved by the Institutional Review Board of Emory University.

How To Cite

Copy
Benjamin Risk and Raphiel Murden and Junjie Wu and Mary Beth Nebel and Arun Venkataraman and Zhengwu Zhang and Deqiang Qiu (2021). Which multiband factor should you choose for your resting-state fMRI study? The Emory Multiband Dataset. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003540.v1.0.1
More citation info

Which multiband factor should you choose for your resting-state fMRI study? The Emory Multiband Dataset

uploaded by Benjamin Risk on 2021-02-23 - 3 months ago
last modified on 2021-03-20 - about 2 months ago
authored by Benjamin Risk, Raphiel Murden, Junjie Wu, Mary Beth Nebel, Arun Venkataraman, Zhengwu Zhang, Deqiang Qiu
4326

OpenNeuro Accession Number: ds003540
Files: 627, Size: 92.04GB, Subjects: 32, Session: 1
Available Tasks: rest
Available Modalities: T1w, bold, sbref

README

Introduction ------------ The Emory Multiband Dataset was collected to examine the impacts of multiband acceleration on resting-state fMRI. We collected factors of 2, 3, 4, 6, 8, 9, and 12 with 2-mm isotropic resolution, and additionally 2 mm and 3.3 mm single-band acquisitions, from thirty-two subjects.

Acquisition Protocols --------------------- The acquisition protocols included 6-min scans with AP phase encoding: * single-band with 3.3 mm voxel size (TR 3.0 s) * single-band with 2 mm voxel size (TR 5.67) * multiband with factors 2 (TR 2.85), 3 (TR 1.91), 4 (TR 1.44), 6 (TR 0.962), 8 (TR 0.736), 9 (TR 0.675), 12 (TR 0.512).

In addition: * MB 3 with PA phase encoding; we used this PA SBRef in topup and did not use the bold series (which contained 8 volumes).

sub-28 and sub-31 do not have MB9 acquisitions.

Flip angles were set to achieve the Ernst angle.

Each participant's data is from a single session in the same scanner, and two scanners with identical hardware specifications and software version were used throughout the study (MAGNETOM PrismaFit, software version E11C, Siemens Healthcare, Erlangen, Germany). A thirty-two channel head coil was used.

Example processing scripts are available from the Brain Research in Imaging Statistics Kit at https://github.com/thebrisklab

Task Description: "rest" -------------------------- Participants were asked to lay motionless and look at a cross-hair during resting-state scans.

Defacing -------- Pydeface was used on all anatomical images to ensure de-identification of subjects. The code can be found at https://github.com/poldracklab/pydeface

Authors

  • Benjamin Risk
  • Raphiel Murden
  • Junjie Wu
  • Mary Beth Nebel
  • Arun Venkataraman
  • Zhengwu Zhang
  • Deqiang Qiu

Dataset DOI

10.18112/openneuro.ds003540.v1.0.1

License

CC0

Acknowledgements

We would like to thank Sarah Basadre, Michael Larch, Sonny Roh, and Samira Yeboah for MRI acquisition and Dr. Lei Zhou for computational support.

How to Acknowledge

Please reference B. Risk, R. Murden, J. Wu, M. Nebel, A. Venkataraman, Z. Zhang, and D. Qiu. "Which multiband factor should you choose for your resting-state fMRI study?" NeuroImage, in press.

https://www.sciencedirect.com/science/article/pii/S1053811921002421

Funding

  • Image acquisition supported by the Dean's Pilot Grant from the Rollins School of Public Health, Emory University and a Pilot Grant from the Center for Systems Imaging at Emory University
  • The research was partially supported by NIH R21AG066970.

References and Links

Ethics Approvals

  • This study was approved by the Institutional Review Board of Emory University.

How To Cite

Copy
Benjamin Risk and Raphiel Murden and Junjie Wu and Mary Beth Nebel and Arun Venkataraman and Zhengwu Zhang and Deqiang Qiu (2021). Which multiband factor should you choose for your resting-state fMRI study? The Emory Multiband Dataset. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003540.v1.0.1
More citation info

Dataset File Tree

Git Hash: cd6ef1e 

BIDS Validation

We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-10/func/sub-10_task-rest_acq-MB3PA_bold.nii.gz

The most common set of dimensions is: 104,104,72,8 (voxels), This file has the dimensions: 104,104,72,5 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.91s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 2.70s.

/sub-28/func/sub-28_task-rest_acq-MB3PA_bold.nii.gz

The most common set of dimensions is: 104,104,72,8 (voxels), This file has the dimensions: 104,104,72,5 (voxels).

/sub-31/func/sub-31_task-rest_acq-MB12_bold.nii.gz

The most common set of dimensions is: 104,104,72,688 (voxels), This file has the dimensions: 104,104,72,700 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 0.51s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 0.50s.

/sub-31/func/sub-31_task-rest_acq-MB2_bold.nii.gz

The most common set of dimensions is: 104,104,72,125 (voxels), This file has the dimensions: 104,104,72,128 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 2.85s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 2.78s.

/sub-31/func/sub-31_task-rest_acq-MB3PA_bold.nii.gz

The most common set of dimensions is: 104,104,72,8 (voxels), This file has the dimensions: 104,104,72,5 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.91s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 1.86s.

/sub-31/func/sub-31_task-rest_acq-MB3_bold.nii.gz

The most common set of dimensions is: 104,104,72,188 (voxels), This file has the dimensions: 104,104,72,190 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.91s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 1.86s.

/sub-31/func/sub-31_task-rest_acq-MB4_bold.nii.gz

The most common set of dimensions is: 104,104,72,248 (voxels), This file has the dimensions: 104,104,72,252 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 1.44s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 1.40s.

/sub-31/func/sub-31_task-rest_acq-MB6_bold.nii.gz

The most common set of dimensions is: 104,104,72,364 (voxels), This file has the dimensions: 104,104,72,368 (voxels).

/sub-31/func/sub-31_task-rest_acq-MB8_bold.nii.gz

The most common set of dimensions is: 104,104,72,478 (voxels), This file has the dimensions: 104,104,72,484 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 0.74s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 0.72s.

/sub-31/func/sub-31_task-rest_acq-SB2mm_bold.nii.gz

The most common set of dimensions is: 104,104,72,64 (voxels), This file has the dimensions: 104,104,72,66 (voxels). The most common resolution is: 2.00mm x 2.00mm x 2.00mm x 5.67s, This file has the resolution: 2.00mm x 2.00mm x 2.00mm x 5.53s.

Dataset File Tree

Git Hash: cd6ef1e 

Comments

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