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T1w
Layer VASO in visual system

OpenNeuro Accession Number: ds001547Files: 1029Size: 11.59GB

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Layer VASO in visual system
Layer VASO in visual system
  •   .bidsignore
  •   CHANGES
  •   dataset_description.json
  •   participants.tsv
  •   README
  •   task-rest_events.json
  •   task-rest_events.tsv
  •   task-vis_events.json
  •   task-vis_events.tsv
  • moreDescriptions
  • sub-180817ANDV1LGN
  • sub-180921JOSV1LGN
  • sub-180928CHEV1LGN
  • sub-181004LEEV1LGN
  • sub-181015ANDV1LGN

README

High-resolution VASO in V1

Renzo Huber

Abstract

With recent developments of ultra-high field MRI and high-resolution CBV-sensitive VASO sequences, it became possible to measure activity changes across cortical depths in brain areas of large cortical thicknesses (4mm in M1). Applications of layer-dependent CBV-fMRI in the visual cortex, however, have been complicated by long arterial-arrival-times, coverage requirements, and lower cortical thickness (1.9mm). Here, we developed new sequence setups for layer-dependent acquisition of CBV changes during tasks and resting-state. We find that the proposed large-coverage VASO protocols with 0.8mm (iso) resolutions can pinpoint feedforward and feedback input into V1 from LGN and V5 during tasks and resting-state. The data uploaded here are used in the ISMRM abstract entitled: Measuring layer-dependent CBV fMRI in the visual system. A full list of sequence parameters can be found here: https://github.com/layerfMRI/Sequence_Github/blob/master/Visual/S26_protocol.pdf A description of all the pitfalls in acquiring these data is given here: https://layerfmri.com/2018/04/12/ss-si-vaso-pitfalls-in-visual-cortex/

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Authors

  • Renzo Huber
  • Peter Bandettini

Available Modalities

T1wbold

Versions

Draft
Updated: 2018-10-23
Versions

Tasks

imagery, rest, swirly stars

Uploaded by

Laurentius Huber on 2018-10-11 - over 3 years ago

Last Updated

2018-10-23 - over 3 years ago

Sessions

1

Participants

5

Dataset DOI

Create a new snapshot to obtain a DOI for the snapshot.

License

CC BY

Acknowledgements

These data are acquired in collaboration and with great input from the following people: Elisha Merriam, elisha.merriam@nih.gov, NIMH, Bethesda, MD, United States, Insub Kim, insekim@gmail.com, IBS Center, Sungkyunkwan University, Korea, Yuhui Chai, yuhui.chai@nih.gov, NIMH, Bethesda, MD, United States, Sriranga Kashyap, Sriranga.Kashyap@maastrichtuniversity.nl, MBIC, Maastricht University, Netherlands, Jonathan Polimeni, jonp@nmr.mgh.harvard.edu, MGH, Harvard, MA, United States, Zvi Roth, zviroth@gmail.com, NIMH, Bethesda, MD, United States, Won Mok Shim, wonmokshim@skku.edu, IBS Center, Sungkyunkwan University, Korea, Seong-Gi Kim, seonggikim@skku.edu, IBS Center, Sungkyunkwan University, Korea, Benedikt A Poser, Benedikt.Poser@maastrichtuniversity.nl, MBIC, Maastricht University, Netherlands, Peter A Bandettini, Bandettini@nih.gov, NIMH, Bethesda, MD, United States.

I want to thank Robert Trampel, Saskia Bollmann, Markus Barth, Cheryl Olman, Marcello Venzi, Kevin Murphy and Amir Shmuel for helpful discussion about high-resolution VASO in V1.

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