High-resolution diffusion MRI of the cortico-cortical connections between lower visual areas reveals divergence of connections and enhanced connectivity of the central visual field representation

Studies of the dense structural connections between human lower visual areas with diffusion MRI (dMRI) are sparse. To investigate this fine connectivity, a dMRI pulse sequence is required to operate at both high-resolution and high signal-to-noise ratio (SNR). gSldier-SMS (Setsompop et al., 2018) makes acquiring diffusion MRI data with high SNR and high resolution possible. Using gSlider-SMS, we aim to image the white matter connections between the densely connected lower visual areas V1, V2, and V3. Data were obtained from 10 healthy subjects. Using gSlider-SMS, we acquired dMRI with isotropic 1 mm voxels. We used Benson’s atlas (Benson & Winawer, 2018) to generate the retinotopic polar angle and eccentricity maps of human visual areas V1, V2, and V3. Our diffusion data demonstrated a retinotopically organized connectivity pattern between V1-V2, V2-V3, and V1-V3. Moreover, our results also revealed differential density in connectivity patterns between the central and peripheral visual fields. We found that for each pair of connections between V1, V2, and V3, the central visual field regions were more densely connected than the regions in the periphery. This underscores the notion that the central visual field, responsible for detailed and sharp vision, might have evolved to have stronger connectivity to facilitate visual processing at high acuity. In addition, we evaluated the divergence of connections emerging from an eccentricity range in one visual area and connecting to a second visual area. A Gaussian curve showed a good fit to the divergence distribution. Our study provides novel insight into the visual cortex's intricate connectivity patterns, underlining the importance of central visual field representation, retinotopic organization, and hierarchical processing. Our findings also pave the way for investigating the structural-functional relationship of connections between lower visual areas, potentially leading to a deeper understanding of vision-related disorders.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2024-09-15
DOI
https://doi.org/10.1167/jov.24.10.1129
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-resolution diffusion MRI of the cortico-cortical connections between lower visual areas reveals divergence of connections and enhanced connectivity of the central visual field representation

Alex Valcourt Caron, Ziqi Hao, Janine D. Mendola, Maxime Descoteaux et al.
Journal of Vision
Advanced Neuroimaging Techniques and Applications
article

High-resolution diffusion MRI of the cortico-cortical connections between lower visual areas reveals divergence of connections and enhanced connectivity of the central visual field representation

Alex Valcourt Caron, Ziqi Hao, Janine D. Mendola, Maxime Descoteaux, Amir Shmuel
article en

Abstract

Studies of the dense structural connections between human lower visual areas with diffusion MRI (dMRI) are sparse. To investigate this fine connectivity, a dMRI pulse sequence is required to operate at both high-resolution and high signal-to-noise ratio (SNR). gSldier-SMS (Setsompop et al., 2018) makes acquiring diffusion MRI data with high SNR and high resolution possible. Using gSlider-SMS, we aim to image the white matter connections between the densely connected lower visual areas V1, V2, and V3. Data were obtained from 10 healthy subjects. Using gSlider-SMS, we acquired dMRI with isotropic 1 mm voxels. We used Benson’s atlas (Benson & Winawer, 2018) to generate the retinotopic polar angle and eccentricity maps of human visual areas V1, V2, and V3. Our diffusion data demonstrated a retinotopically organized connectivity pattern between V1-V2, V2-V3, and V1-V3. Moreover, our results also revealed differential density in connectivity patterns between the central and peripheral visual fields. We found that for each pair of connections between V1, V2, and V3, the central visual field regions were more densely connected than the regions in the periphery. This underscores the notion that the central visual field, responsible for detailed and sharp vision, might have evolved to have stronger connectivity to facilitate visual processing at high acuity. In addition, we evaluated the divergence of connections emerging from an eccentricity range in one visual area and connecting to a second visual area. A Gaussian curve showed a good fit to the divergence distribution. Our study provides novel insight into the visual cortex's intricate connectivity patterns, underlining the importance of central visual field representation, retinotopic organization, and hierarchical processing. Our findings also pave the way for investigating the structural-functional relationship of connections between lower visual areas, potentially leading to a deeper understanding of vision-related disorders.

Journal of VisionVol. 24(10)
Université de Sherbrooke (CA), McGill University (CA)
Openalex Percentile: Top 72%
Advanced Neuroimaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.