Keywords: Mesoscale: columns and layers, fMRI Analysis, Neuroscience, Data Processing, Brain, High‐Field MRI, Software Tools, layer-fMRI, VASO, UHF, pipeline, open science.
Motivation: The emerging field of layer-fMRI can capture neural information flow across brain areas. However, data analysis in layer-fMRI is challenged by lack of standardization and segmentation quality constraints.
Goal(s): We aim to design, implement, validate, and test a layer-fMRI analysis pipeline toolbox.
Approach: The layerfMRI-toolbox combines a collection of modern layer-fMRI programs to convert raw structural and functional data to high-quality layer profiles.
Results: We find that the layerfMRI-toolbox can be effectively applied on standalone laptops and computing clusters, and we present exemplary results of the toolbox from a few application studies.
Impact: We proposed an easy to use software toolbox that can standardize and streamline layer-fMRI analyses. It is scalable across large N studies with minimal necessity for manual corrections.
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