Microstructural profiles of the human superficial white matter and their associations to cortical geometry and connectivity

The superficial white matter (SWM), immediately beneath the cortical mantle, is thought to play a major role in cortico-cortical connectivity as well as large-scale brain function. Yet, this compartment remains rarely studied due to its complex organization. Our objectives were to develop and disseminate a robust computational framework to study SWM organization based on 3D histology and high-field 7T MRI. Using data from the BigBrain and Ahead 3D histology initiatives, we first interrogated variations in cell staining intensities across different cortical regions and different SWM depths. These findings were then translated to in vivo 7T quantitative myelin-sensitive MRI, including T1 relaxometry (T1 map) and magnetization transfer saturation (MTsat). As indicated by the statistical moments of the SWM intensity profiles, the first 2 mm below the cortico-subcortical boundary were characterized by high structural complexity. We quantified SWM microstructural variation using a nonlinear dimensionality reduction method and examined the relationship of the resulting microstructural gradients with indices of cortical geometry, as well as structural and functional connectivity. Our results showed correlations between SWM microstructural gradients, as well as curvature and cortico-cortical functional connectivity. Our study provides novel insights into the organization of SWM in the human brain and underscores the potential of SWM mapping to advance fundamental and applied neuroscience research.

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Publication Details

Journal
PLoS Biology
Published
2026-01-30
DOI
https://doi.org/10.1371/journal.pbio.3003629
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Microstructural profiles of the human superficial white matter and their associations to cortical geometry and connectivity

Casey Paquola, Jordan DeKraker, Pierre‐Louis Bazin, Risavarshni Thevakumaran et al.
PLoS Biology
Advanced Neuroimaging Techniques and Applications
article

Microstructural profiles of the human superficial white matter and their associations to cortical geometry and connectivity

Casey Paquola, Jordan DeKraker, Pierre‐Louis Bazin, Risavarshni Thevakumaran, Ilana R. Leppert, Neda Bernasconi, Raul Rodriguez-Cruces, Luis Concha, Christine L. Tardif, Donna Gift Cabalo, Alan C. Evans, David A. Rudko, Boris C. Bernhardt, Andrea Bernasconi, Youngeun Hwang
article en

Abstract

The superficial white matter (SWM), immediately beneath the cortical mantle, is thought to play a major role in cortico-cortical connectivity as well as large-scale brain function. Yet, this compartment remains rarely studied due to its complex organization. Our objectives were to develop and disseminate a robust computational framework to study SWM organization based on 3D histology and high-field 7T MRI. Using data from the BigBrain and Ahead 3D histology initiatives, we first interrogated variations in cell staining intensities across different cortical regions and different SWM depths. These findings were then translated to in vivo 7T quantitative myelin-sensitive MRI, including T1 relaxometry (T1 map) and magnetization transfer saturation (MTsat). As indicated by the statistical moments of the SWM intensity profiles, the first 2 mm below the cortico-subcortical boundary were characterized by high structural complexity. We quantified SWM microstructural variation using a nonlinear dimensionality reduction method and examined the relationship of the resulting microstructural gradients with indices of cortical geometry, as well as structural and functional connectivity. Our results showed correlations between SWM microstructural gradients, as well as curvature and cortico-cortical functional connectivity. Our study provides novel insights into the organization of SWM in the human brain and underscores the potential of SWM mapping to advance fundamental and applied neuroscience research.

PLoS BiologyVol. 24(1)
Montreal Neurological Institute and Hospital (CA), Autonomous University of Queretaro (MX), Forschungszentrum Jülich (DE), Hersenstichting (NL), McGill University (CA)
Openalex Percentile: Top 72%
Advanced Neuroimaging Techniques and Applications
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