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

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Authors: Youngeun Hwang, Raul Rodriguez-Cruces, Jordan DeKraker, Donna Gift Cabalo, Ilana R. Leppert, Risavarshni Thevakumaran, Christine L. Tardif, David A. Rudko, Casey Paquola, Pierre‐Louis Bazin, Andrea Bernasconi, Neda Bernasconi
+3 more Luis Concha, Alan C. Evans, Boris C. Bernhardt
Cited by: 2
References: 87

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.

Fields of Study & Subjects

Advanced Neuroimaging Techniques and Applications Functional Brain Connectivity Studies Advanced MRI Techniques and Applications

Publication details

Journal / source
PLoS Biology
Publisher
Public Library of Science (PLoS)
Volume
24
Issue
1
Pages
e3003629–e3003629
Publication date
30 January 2026
Language
EN