Keywords: Tractography, Structural Connectivity, Ex vivo; preclinical MRI; high-resolution
Motivation: Questions about the complete structural connectivity of the human brain remain unresolved. There is a need for high-resolution mapping to unveil finer-scale connections that conventional techniques may miss.
Goal(s): This study aims to combine a high-resolution post-mortem human brain dataset with an advanced global tractography algorithm to achieve unprecedented levels of detail.
Approach: We used ExaTract, a massively parallelized global tractography approach dedicated to supercomputer architecture, and fiber clustering methods to process the Chenonceau dataset at the mesoscale.
Results: This work produced the first mesoscale atlas of human brain connectivity using global tractography, mapping structural connections at resolutions finer than previously achieved.
Impact: This deep phenotyping approach represents a significant advance in the human brain structural connectivity mapping. Including subcortical and intracortical connections at very high level of details, it provides a valuable reference dataset for comparison with conventional MRI tractography in vivo.
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