Jayson Jeganathan
@jaysonjeg.bsky.social
Psychiatrist and neuroscientist. Working on fMRI, cognition in neural system, comp neuroscience
On native meshes, gyral/sulcal differences were minimal or non-existent. In general, one good test would be to see if your outcomes (like myelination) co-varied with sulcal depth across the whole brain. If they do, then need to consider whether the relationship is artefactual or real.
February 25, 2025 at 2:22 AM
On native meshes, gyral/sulcal differences were minimal or non-existent. In general, one good test would be to see if your outcomes (like myelination) co-varied with sulcal depth across the whole brain. If they do, then need to consider whether the relationship is artefactual or real.
I'm proud of this work, and I hope this paper helps you to avoid spurious conclusions in your work. Check out the full paper (tinyurl.com/gyral) for a detailed breakdown and for other downstream analyses that can be impacted (FC fingerprinting, hyperalignment, etc). (5/5)
Spurious correlations in surface-based functional brain imaging
Abstract. The study of functional MRI (fMRI) data is increasingly performed after mapping from volumetric voxels to surface vertices. Processing pipelines commonly used to achieve this mapping produce...
tinyurl.com
February 25, 2025 at 12:36 AM
I'm proud of this work, and I hope this paper helps you to avoid spurious conclusions in your work. Check out the full paper (tinyurl.com/gyral) for a detailed breakdown and for other downstream analyses that can be impacted (FC fingerprinting, hyperalignment, etc). (5/5)
The new Onavg template promises to even out variability in inter-vertex spacing across the cortex. We tested this. This template reduces variability by 90% in the common surface space, but only by about 20% in subject-specific surfaces :( (4/5)
February 25, 2025 at 12:36 AM
The new Onavg template promises to even out variability in inter-vertex spacing across the cortex. We tested this. This template reduces variability by 90% in the common surface space, but only by about 20% in subject-specific surfaces :( (4/5)
We then explored the consequences. Adjacent sulcal vertices have highly correlated fMRI time series just because they're closer. This can trick functional parcellations into putting parcel boundaries on gyri instead. (3/5)
February 25, 2025 at 12:36 AM
We then explored the consequences. Adjacent sulcal vertices have highly correlated fMRI time series just because they're closer. This can trick functional parcellations into putting parcel boundaries on gyri instead. (3/5)
This new visual by
@phogat_richa
shows it all. In this single-subject flattened cortex, we see mesh vertices and triangles with gyri (red) and sulci (blue). The triangles are clearly smaller in sulci (blue). All fsaverage and fsLR surfaces look like this. (2/5)
@phogat_richa
shows it all. In this single-subject flattened cortex, we see mesh vertices and triangles with gyri (red) and sulci (blue). The triangles are clearly smaller in sulci (blue). All fsaverage and fsLR surfaces look like this. (2/5)
February 25, 2025 at 12:36 AM
This new visual by
@phogat_richa
shows it all. In this single-subject flattened cortex, we see mesh vertices and triangles with gyri (red) and sulci (blue). The triangles are clearly smaller in sulci (blue). All fsaverage and fsLR surfaces look like this. (2/5)
@phogat_richa
shows it all. In this single-subject flattened cortex, we see mesh vertices and triangles with gyri (red) and sulci (blue). The triangles are clearly smaller in sulci (blue). All fsaverage and fsLR surfaces look like this. (2/5)