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February 2, 2026PLoS Biology2 citationsOpen Access

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

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YHYoungeun HwangRRRaul Rodriguez-CrucesJDJordan DeKraker

Key Points

  • The aim is to develop a computational framework to explore the organization of superficial white matter (SWM) and its association with cortical geometry and connectivity.
  • Used 3D histology data from BigBrain and Ahead initiatives.
  • Conducted high-field 7T MRI, including T1 relaxometry and magnetization transfer saturation.
  • Analyzed variations in cell staining intensities across cortical regions and SWM depths.
  • Applied nonlinear dimensionality reduction to quantify SWM microstructural variation.
  • Examined relationships between microstructural gradients and cortical geometry indices.
  • Identified high structural complexity in the first 2 mm of SWM below the cortico-subcortical boundary.
  • Found correlations between SWM microstructural gradients and cortical curvature.
  • Demonstrated associations between SWM gradients and functional connectivity in the brain.

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.

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Cite This Study

Hwang et al. (2026) studied this question.

synapsesocial.com/papers/6980ff37c1c9540dea812161https://doi.org/10.1371/journal.pbio.3003629
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