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Abstract #0261

Towards whole brain layer-fMRI connectivity: methodological advancements for functional layer connectomics

Kenshu Koiso1,2, Sebastian Dresbash1, Christopher J Wiggins3, Omer Faruk Gulban1,4, Yoichi Miyawaki2,5, Benedikt A Poser1, and Renzo Huber1
1The Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan, 3Scannexus, Maastricht, Netherlands, 4Brain Innovation, Maastricht, Netherlands, 5Center for Neuroscience and Biomedical Engineering, The University of Electro-Communications, Tokyo, Japan


Laminar-specific fMRI allows neuroscientists to address research questions of directional functional connectivity within and across brain areas. While recent sequence developments allow improvements in coverage and mitigations of venous biases, previous attempts of whole-brain connectome datasets turned out to be too artifact-dominated (Mueller 2021) to be neuroscientifically applicable. Here we present a new and improved sequence used for acquiring a relatively large open dataset of whole-brain laminar connectivity. Its purpose is to:

  • investigate the reproducibility of laminar connectivity results,
  • to benchmark and develop processing pipelines,
  • and to explore which type of new neuroscientific research questions become addressable with laminar fMRI.

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