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Updated: Mar 6, 2026
Visualization of Cortical Modules in Flattened Mammalian Cortices
Published on: January 22, 2018
Multimodal FLAIR/MPRAGE segmentation of cerebral cortex and cortical myelin
Roberto Viviani1, Tony Stöcker2, Julia C Stingl3
1Institute of Psychology, Innrain 52, A-6020 Innsbruck, Austria; Department of Psychiatry and Psychotherapy III, University of Ulm, Ulm, Germany.
Abstract:
The MR signal from gray matter has been long known to present small differences in intensity that have been attributed to variations in cortical myelin content. Previous studies have shown that the T1-, T2-weighted signal and their ratio are sensitive to these variations. Here, we investigated different combinations of signal from MPRAGE and FLAIR images in multimodal segmentation with parametric models of signal intensity to identify a procedure for the identification of contrast in cortical gray matter and the segmentation of different cortical components at 3T. We show that a three-modal combination of these signals delivers a stable segmentation of the cortical mantle in which two distinct components are reliably identified. The resulting intensity maps correspond well to known regional myeloarchitectural differences between cortical regions. These results confirm that widely available MR sequences contain signal that may be used to reliably detect subtle differences in the composition of gray matter with a segmentation approach.
Insights
Magnetic Resonance Imaging (MRI) can reveal subtle differences in brain gray matter composition. A new multimodal segmentation technique using standard MRI sequences reliably identifies distinct cortical components based on myelin content.
Area of Science:
- Neuroimaging
- Neuroanatomy
- Biomedical Engineering
Background:
- Gray matter MRI signal intensity variations are linked to cortical myelin content.
- Previous research indicates T1-weighted, T2-weighted signals, and their ratio are sensitive to myelin variations.
Purpose of the Study:
- To identify an optimal multimodal MRI segmentation procedure for detecting contrast in cortical gray matter.
- To segment distinct cortical components at 3 Tesla using parametric signal intensity models.
Main Methods:
- Investigated combinations of Magnetization Prepared Rapid Gradient Echo (MPRAGE) and Fluid Attenuated Inversion Recovery (FLAIR) signals.
- Employed multimodal segmentation with parametric models of signal intensity at 3T.
Main Results:
- A three-modal signal combination achieved stable segmentation of the cortical mantle.
- Two distinct cortical components were reliably identified using this approach.
- Resulting intensity maps correlated well with known regional myeloarchitectural differences.
Conclusions:
- Widely available MRI sequences contain signal information suitable for detecting subtle gray matter composition differences.
- A multimodal segmentation approach offers a reliable method for analyzing cortical components based on myelin content.
