Heritability of V1/V2/V3 surface area in the HCP 7T Retinotopy Dataset

Yoon, Jennifer M. D.; Benson, Noah C.; Forenzo, Dylan; Winawer, Jonathan; Engel, Stephen A.; Kay, Kendrick

doi:10.1167/19.10.41b

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 D ). Since the proportional size of V1/V2 varies ∼3-fold across individuals and is highly heritable ( Yoon et al, 2019 ), we hypothesized that the ipsilateral V1–V2 connection would also be highly variable, with that variability being correlated across hemispheres. Indeed, we find that the ipsilateral V1–V2 connection is very strong, with ∼1.8-fold variability which is strongly correlated across hemispheres ( r = 0.70).…”

Section: Resultsmentioning

confidence: 99%

A Whole-Cortex Probabilistic Diffusion Tractography Connectome

Rosen

Halgren

2021

eNeuro

View full text Add to dashboard Cite

The WU-Minn Human Connectome Project (HCP) is a publicly-available dataset containing state-of-the-art structural magnetic resonance imaging (MRI), functional MRI (fMRI), and diffusion MRI (dMRI) for over a thousand healthy subjects. While the planned scope of the HCP included an anatomic connectome, resting-state fMRI (rs-fMRI) forms the bulk of the HCP’s current connectomic output. We address this by presenting a full-cortex connectome derived from probabilistic diffusion tractography and organized into the HCP-MMP1.0 atlas. Probabilistic methods and large sample sizes are preferable for whole-connectome mapping as they increase the fidelity of traced low-probability connections. We find that overall, connection strengths are lognormally distributed and decay exponentially with tract length, that connectivity reasonably matches macaque histologic tracing in homologous areas, that contralateral homologs and left-lateralized language areas are hyperconnected, and that hierarchical similarity influences connectivity. We compare the dMRI connectome to existing rs-fMRI and cortico-cortico-evoked potential connectivity matrices and find that it is more similar to the latter. This work helps fulfill the promise of the HCP and will make possible comparisons between the underlying structural connectome and functional connectomes of various modalities, brain states, and clinical conditions.

show abstract

Section: Resultsmentioning

confidence: 99%

A Whole-Cortex Probabilistic Diffusion Tractography Connectome

Rosen

Halgren

2021

eNeuro

View full text Add to dashboard Cite

show abstract

“…3D). Since the proportional size of V1/V2 varies ~3fold across individuals and is highly heritable (Yoon et al, 2019), we hypothesized that the ipsilateral V1-V2 connection would also be highly variable, with that variability being correlated across hemispheres. Indeed, we find that the ipsilateral V1 -V2 connection is very strong, with ~1.8 fold variability which is strongly correlated across hemispheres (r=0.70).…”

Section: Inter-individual Variabilitymentioning

confidence: 99%

A whole-cortex probabilistic diffusion tractography connectome

Rosen¹,

Halgren²

2020

Preprint

View full text Add to dashboard Cite

AbstractThe WU-Minn Human Connectome Project (HCP) is a publicly-available dataset containing state-of-art structural, functional, and diffusion-MRI for over a thousand healthy subjects. While the planned scope of the HCP included an anatomical connectome, resting-state functional-MRI forms the bulk of the HCP’s current connectomic output. We address this by presenting a full-cortex connectome derived from probabilistic diffusion tractography and organized into the HCP-MMP1.0 atlas. Probabilistic methods and large sample sizes are preferable for whole-connectome mapping as they increase sensitivity to low-probability connections. We find that overall connectivity is lognormally distributed and decays exponentially with tract length, that connectivity reasonably matches macaque histological tracing in homologous areas, that contralateral homologs and left-lateralized language areas are hyperconnected, and that hierarchical similarity influences connectivity. This work helps fulfill the promise of the HCP and will make possible comparisons between the underlying structural connectome and functional connectomes of various modalities, brain states, and clinical conditions.

show abstract

“…The current and prior results suggest that there are multiple, local influences upon variation in the size of visual pathway structures. For example, the relative size of the visual cortex has a heritable component (Bakken et al, 2012; Yoon et al, 2019), although there is limited study of genetic influences elsewhere along visual pathway.…”

Section: Discussionmentioning

confidence: 99%

Retinal ganglion cell endowment is correlated with optic tract fiber cross section, not density

Taskin

Qiao

Sydnor

et al. 2022

Preprint

View full text Add to dashboard Cite

There is substantial variation between healthy individuals in the number of retinal ganglion cells (RGC) in the eye, with commensurate variation in the number of axons in the optic tracts. Fixel-based analysis of diffusion MR produces estimates of fiber density (FD) and cross section (FC). Using these fixel measurements along with retinal imaging, we asked if individual differences in the estimated number of RGCs are correlated with individual differences in FD and FC measurements obtained from the optic tracts, and subsequent structures along the cortical visual pathway. We find that RGC endowment is correlated with optic tract FC, but not with FD. RGC cell number had a decreasing relationship with measurements from subsequent regions of the visual system (LGN volume, optic radiation FC/FD, and V1 surface area). However, we also found that the variations in each visual area were correlated with the variations in its immediately adjacent visual structure. We only observed these serial correlations when FC is used as the measure of interest for the optic tract and radiations, but no significant relationship was found when FD represented these white matter structures. From these results, we conclude that the variations in RGC endowment, LGN volume, and V1 surface area are better predicted by the overall cross section of the optic tract and optic radiations relative to the intra-axonal restricted signal component of these white matter pathways. Additionally, the presence of the significant correlations between adjacent, but not distant, anatomical structures suggest that there are multiple, local sources of anatomical variation along the visual pathway.

show abstract

Heritability of V1/V2/V3 surface area in the HCP 7T Retinotopy Dataset

Cited by 4 publications

References 0 publications

A Whole-Cortex Probabilistic Diffusion Tractography Connectome

A Whole-Cortex Probabilistic Diffusion Tractography Connectome

A whole-cortex probabilistic diffusion tractography connectome

Retinal ganglion cell endowment is correlated with optic tract fiber cross section, not density

Contact Info

Product

Resources

About