| Home > Publications database > Intracortical microstructure profiling: a cross-modal method for indexing cortical lamination |
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| APC | 1219.06 | 0.00 | EUR | 100.00 % | (Zahlung erfolgt) | ZB |
| Sum | 1219.06 | 0.00 | EUR | |||
| Total | 1219.06 |
| Journal Article | FZJ-2026-02136 |
; ; ; ; ; ; ;
2026
MIT Press
Cambridge, MA
This record in other databases:
Please use a persistent id in citations: doi:10.1162/IMAG.a.1212 doi:10.34734/FZJ-2026-02136
Abstract: Intracortical microstructure profiling represents a powerful, scalable approach for investigating the laminar organisation of the human cortex on both in-vivo and post-mortem datasets. Building upon a long tradition of histological analysis, this method leverages surface-based intracortical sampling to generate profiles of tissue properties across cortical depths. The present work outlines a standardised workflow for intracortical microstructural profiling, newly packaged as the open-source toolbox “CortPro” (https://github.com/caseypaquola/cortpro). Here, we explore the utility of central moments as descriptors of profile shape. Using these measures, we quantify (i) the extent to which in-vivo MRI can capture laminar differentiation, (ii) the test-retest reliability of profiles, and (iii) their replicability across sites and studies. Our results demonstrate that intracortical profiles are remarkably robust and effectively mitigate bias-field related limitations of non-quantitative MRI. As applications of microstructure-sensitive imaging expand across development, aging, and disease, microstructure profiling provides a principled means of linking microstructural neuroanatomy with systems-level brain organisation.
|
The record appears in these collections: |