Abstract #0261

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

Kenshu Koiso^1,2, Sebastian Dresbash¹, Christopher J Wiggins³, Omer Faruk Gulban^1,4, Yoichi Miyawaki^2,5, 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

Synopsis

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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