Structural Covariance and Heritability of the Optic Tract and Primary Visual Cortex in Living Human Brains

Miyata, Toshikazu; Benson, Noah C.; Winawer, Jonathan; Takemura, Hiromasa

doi:10.1523/jneurosci.0043-22.2022

Cited by 6 publications

(6 citation statements)

References 66 publications

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“…The substantial variability observed in the V1 surface area of infants, children, and adults is consistent with variability in other structures in the visual system. Cone density varies about 3-fold across individuals 55 and there is substantial variation in the size of the LGN and optic tract 56 , 57 . An intriguing possibility is that these structures co-vary, such that an individual with high cone density will also tend to have a large optic tract, LGN, and V1.…”

Section: Discussionmentioning

confidence: 99%

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Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field

et al. 2023

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Adult visual performance differs with angular location –it is better for stimuli along the horizontal than vertical, and lower than upper vertical meridian of the visual field. These perceptual asymmetries are paralleled by asymmetries in cortical surface area in primary visual cortex (V1). Children, unlike adults, have similar visual performance at the lower and upper vertical meridian. Do children have similar V1 surface area representing the upper and lower vertical meridian? Using MRI, we measure the surface area of retinotopic maps (V1-V3) in children and adults. Many features of the maps are similar between groups, including greater V1 surface area for the horizontal than vertical meridian. However, unlike adults, children have a similar amount of V1 surface area representing the lower and upper vertical meridian. These data reveal a late-stage change in V1 organization that may relate to the emergence of the visual performance asymmetry along the vertical meridian by adulthood.

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Section: Discussionmentioning

confidence: 99%

“…An intriguing possibility is that these structures co-vary, such that an individual with high cone density will also tend to have a large optic tract, LGN, and V1. Some older, post-mortem work 57 , as well as recent in vivo measurements 56,58,59 suggest that this might be the case.…”

Section: The Overall Surface Area Of V1 V2 and V3 Is Stable Between C...mentioning

confidence: 99%

Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field

et al. 2023

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“…An intriguing possibility is that these structures co-vary, such that an individual with high cone density will also tend to have a large optic tract, LGN, and V1. Some older, post-mortem work (Andrews et al, 1997), as well as recent in vivo measurements (Miyata et al, 2022;Silva et al, 2021;Taskin et al, 2022) suggest that this might be the case.…”

Section: The Overall Surface Area Of V1 V2 and V3 Is Stable Between C...mentioning

confidence: 99%

“…The substantial variability observed in the V1 surface area of infants, children, and adults, is consistent with variability in other structures in the visual system. Cone density varies about 3fold across individuals (Curcio et al, 1987) and there is substantial variation in the size of the LGN and optic tract (Andrews et al, 1997;Miyata et al, 2022). An intriguing possibility is that these structures co-vary, such that an individual with high cone density will also tend to have a large optic tract, LGN, and V1.…”

Section: The Overall Surface Area Of V1 V2 and V3 Is Stable Between C...mentioning

confidence: 99%

Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field

Himmelberg

Tuncok

Gomez

et al. 2022

Preprint

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Adult visual ability differs markedly with stimulus polar angle: relative to the point of fixation, visual performance is best for stimuli to the left or right, intermediate for stimuli below, and poorest for stimuli above. These polar angle asymmetries in performance are paralleled by cortical asymmetries in the visual field representation in primary visual cortex (V1). Whereas children, like adults, show better performance for stimuli along the horizontal than the vertical meridian, they show no performance difference for stimuli above vs below fixation. Is the difference in visual performance between children and adults matched by a difference in the amount of V1 surface area representing these regions? We used fMRI to measure the distribution of the cortical surface representing the visual field in children and adults. Two properties of the V1, V2, and V3 maps were mature in children -overall map surface area and variation in surface area as a function of eccentricity. Further, like adults, children had much greater V1 surface area representing the horizontal than vertical meridian. However, unlike adults, children did not have greater V1 surface area for the lower than upper vertical meridian. These data indicate a late-stage change in the architecture of V1 that may drive the emergence of a visual performance asymmetry along the vertical meridian by adulthood.

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“… 124 , 125 Nevertheless, once researchers can identify the optic chiasm and LGN as seed voxels, the identification of the OT from dMRI in a standard resolution is achievable and widely tested. 118 , 126 …”

Section: Tractometry Of Early Visual White Matter Tractsmentioning

confidence: 99%

Tractometry of Human Visual White Matter Pathways in Health and Disease

Takemura,

Kruper,

Miyata

et al. 2024

magn reson med sci

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Structural Covariance and Heritability of the Optic Tract and Primary Visual Cortex in Living Human Brains

Abstract: We thank Yusuke Sakai in support of data curation and analysis.

Cited by 6 publications

References 66 publications

Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field

Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field

Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field

Tractometry of Human Visual White Matter Pathways in Health and Disease

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