Literature DB >> 35853720

Structural covariance and heritability of the optic tract and primary visual cortex in living human brains.

Toshikazu Miyata1,2,3, Noah C Benson4, Jonathan Winawer5, Hiromasa Takemura6,2,3,7.   

Abstract

Individual differences among human brains exist at many scales, spanning gene expression, white matter tissue properties, and the size and shape of cortical areas. One notable example is an approximately 3-fold range in the size of human primary visual cortex (V1), a much larger range than is found in overall brain size. A previous study (Andrews et al., 1997) reported a correlation between optic tract cross-section area and V1 size in post-mortem human brains, suggesting that there may be a common developmental mechanism for multiple components of the visual pathways. We evaluated the relationship between properties of the optic tract and V1 in a much larger sample of living human brains by analyzing the Human Connectome Project 7 Tesla Retinotopy Dataset (including 107 females and 71 males). This dataset includes retinotopic maps measured with functional MRI (fMRI) and fiber tract data measured with diffusion MRI (dMRI). We found a negative correlation between optic tract fractional anisotropy and V1 surface area (r = -0.19). This correlation, though small, was consistent across multiple dMRI datasets differing in acquisition parameters. Further, we found that both V1 size and optic tract properties were correlated among twins, with higher correlations for monozygotic than dizygotic twins, indicating a high degree of heritability for both properties. Together, these results demonstrate covariation across individuals in properties of the retina (optic tract) and cortex (V1) and show that each is influenced by genetic factors.SIGNIFICANCE STATEMENT:The size of human primary visual cortex (V1) has large inter-individual differences. These differences do not scale with overall brain size. A previous post-mortem study reported a correlation between the size of the human optic tract and V1. In this study, we evaluated the relationship between the optic tract and V1 in living humans by analyzing a neuroimaging dataset that included functional and diffusion MRI data. We found a small, but robust correlation between optic tract tissue properties and V1 size, supporting the existence of structural covariance between the optic tract and V1 in living humans. The results suggest that characteristics of retinal ganglion cells, reflected in optic tract measurements, are related to individual differences in human V1.
Copyright © 2022 the authors.

Entities:  

Year:  2022        PMID: 35853720      PMCID: PMC9436011          DOI: 10.1523/JNEUROSCI.0043-22.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  52 in total

1.  Practical approaches to the evaluation of signal-to-noise ratio performance with parallel imaging: application with cardiac imaging and a 32-channel cardiac coil.

Authors:  Scott B Reeder; Bernd J Wintersperger; Olaf Dietrich; Titus Lanz; Andreas Greiser; Maximilian F Reiser; Gary M Glazer; Stefan O Schoenberg
Journal:  Magn Reson Med       Date:  2005-09       Impact factor: 4.668

2.  Contribution of feedforward thalamic afferents and corticogeniculate feedback to the spatial summation area of macaque V1 and LGN.

Authors:  Alessandra Angelucci; Kesi Sainsbury
Journal:  J Comp Neurol       Date:  2006-09-20       Impact factor: 3.215

3.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

4.  White matter consequences of retinal receptor and ganglion cell damage.

Authors:  Shumpei Ogawa; Hiromasa Takemura; Hiroshi Horiguchi; Masahiko Terao; Tomoki Haji; Franco Pestilli; Jason D Yeatman; Hiroshi Tsuneoka; Brian A Wandell; Yoichiro Masuda
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-09-25       Impact factor: 4.799

5.  The topography and variability of the primary visual cortex in man.

Authors:  S S Stensaas; D K Eddington; W H Dobelle
Journal:  J Neurosurg       Date:  1974-06       Impact factor: 5.115

Review 6.  Diagnosing the Neural Circuitry of Reading.

Authors:  Brian A Wandell; Rosemary K Le
Journal:  Neuron       Date:  2017-10-11       Impact factor: 17.173

7.  Organization of the feedback pathway from striate cortex (V1) to the lateral geniculate nucleus (LGN) in the owl monkey (Aotus trivirgatus).

Authors:  Jennifer M Ichida; Vivien A Casagrande
Journal:  J Comp Neurol       Date:  2002-12-16       Impact factor: 3.215

8.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

9.  Diffusivity and quantitative T1 profile of human visual white matter tracts after retinal ganglion cell damage.

Authors:  Hiromasa Takemura; Shumpei Ogawa; Aviv A Mezer; Hiroshi Horiguchi; Atsushi Miyazaki; Kenji Matsumoto; Keigo Shikishima; Tadashi Nakano; Yoichiro Masuda
Journal:  Neuroimage Clin       Date:  2019-04-16       Impact factor: 4.881

10.  Asymmetries around the visual field: From retina to cortex to behavior.

Authors:  Eline R Kupers; Noah C Benson; Marisa Carrasco; Jonathan Winawer
Journal:  PLoS Comput Biol       Date:  2022-01-10       Impact factor: 4.475

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