Key result
Short association fibres connecting the primary and secondary visual cortex form dense, topographically organized sheet structures with consistent geometries across individuals.
Why the study?
Despite their importance for brain function, how short association fibres are organised across the brain and how consistent their geometries and locations are across individuals remained unknown.
Observational (n=17)
No
Short association fibres connecting the primary and secondary visual cortex form topographic sheet structures with consistent geometries resembling local cortical folding.
Despite the importance of short association fibres (SAF) for human brain function, their structures remain understudied. It is not known how SAF are organised across the brain, and how consistent their geometries and locations are across individuals. To address this gap, we mapped the precise structures of SAF in the primary (V1) and secondary (V2) visual cortex in a group of participants in vivo and a post mortem specimen. We assessed the consistency of SAF geometries and their expected structural and functional topography using probabilistic tractography on sub-millimetre-resolution diffusion-weighted MRI combined with functional MRI retinotopic maps in vivo. We found that dense SAF connected V1 and V2, forming sheet structures with retinotopic topography and bearing consistent geometries that resembled the local V1–V2 cortical folding. In vivo findings were corroborated by the robust and fine-grained post mortem reference. Our in vivo approach provides important insights into SAF organisation and could be applied to studies across species on cortical and SAF reorganisation and support neuronavigation.
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Attar et al. (2025) conducted an observational in Healthy (n=17). High-resolution DWI tractography and fMRI was evaluated on Geometry and topography of V1-V2 short association fibres. Short association fibres connecting the primary and secondary visual cortex form dense, topographically organized sheet structures with consistent geometries across individuals.
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