Abstract #0630

Whole brain layer-fMRI: An open dataset for methods benchmarking

Anna K Mueller¹, Miriam Heynckes², Christopher J Wiggins³, Omer Faruk Gulban⁴, Yuhui Chai⁵, Benedikt Poser², and Renzo Huber²

¹Goethe-Universität Frankfurt am Main, Mainz, Germany, ²Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, ³Scannexus, Maastricht, Netherlands, ⁴Brain Innovation, Maastricht, Netherlands, ⁵NIH, Bethesda, MD, United States

Laminar-specific fMRI allows neuroscientists to address research questions of directional functional connectivity within and across brain areas. While recent sequence developments allow considerable improvements in coverage, resolution, and mitigation of venous biases, it is not established how routinely useful those methods are for everyday neuroscientific application.

We present an open dataset of whole-brain CBV-sensitive layer-dependent fMRI during free movie watching. Its purpose is to:

investigate the reproducibility of laminar connectivity results,
to benchmark preprocessing pipelines,
to provide reference atlases of laminar connectivity and venous physiology,
and to explore new potential neuroscientific research questions that become addressable with laminar fMRI.

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