Meeting Banner
Abstract #0620

Whole brain Layer-fMRI on the NexGen 7T scanner with high performance gradients and 64-channel receiver array.

Alexander JS Beckett1,2, Renzo Huber3, Samantha J Ma4, Suvi Häkkinen1, Shajan Gunamony5,6, and David A Feinberg1,2
1Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 4Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 5MR CoilTech Limited, Glasgow, United Kingdom, 6Imaging Centre of Excellence, University of Glasgow, Glasgow, United Kingdom

Synopsis

Keywords: fMRI, Data Acquisition

Laminar-resolved fMRI has the potential to capture directional information flow within and between cortical areas to inform network neuroscience. However, common layer-fMRI imaging protocols are constrained by:

  • limited slab coverage
  • commonly used 0.8mm resolution barely resolves individual layer groups.

In this abstract, we use the NexGen 7T scanner to develop a whole-brain functional imaging protocol at 0.6mm resolutions. The aim was to identify and mitigate challenges in protocol optimization of 3D-EPI VASO:

  1. maintaining CBV-weighting with long acquisition windows via segmentation across IR,
  2. residual EPI ghosts
  3. residual fat ghosts

We show whole-brain 0.64mm CBV-based connectivity maps covering the entire neocortex.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Abstract Presentation Video

Keywords