Mapping the human lateral geniculate nucleus and its cytoarchitectonic subdivisions using quantitative MRI

Open Access
Authors
  • C. Müller-Axt
  • C. Eichner
  • H. Rusch
  • L. Kauffmann
  • P.-L. Bazin ORCID logo
  • A. Anwander
  • M. Morawski
  • K. von Kriegstein
Publication date 01-12-2021
Journal NeuroImage
Article number 118559
Volume | Issue number 244
Number of pages 10
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract

The human lateral geniculate nucleus (LGN) of the visual thalamus is a key subcortical processing site for visual information analysis. Due to its small size and deep location within the brain, a non-invasive characterization of the LGN and its microstructurally distinct magnocellular (M) and parvocellular (P) subdivisions in humans is challenging. Here, we investigated whether structural quantitative MRI (qMRI) methods that are sensitive to underlying microstructural tissue features enable MR-based mapping of human LGN M and P subdivisions. We employed high-resolution 7 Tesla in-vivo qMRI in N = 27 participants and ultra-high resolution 7 Tesla qMRI of a post-mortem human LGN specimen. We found that a quantitative assessment of the LGN and its subdivisions is possible based on microstructure-informed qMRI contrast alone. In both the in-vivo and post-mortem qMRI data, we identified two components of shorter and longer longitudinal relaxation time (T1) within the LGN that coincided with the known anatomical locations of a dorsal P and a ventral M subdivision, respectively. Through ground-truth histological validation, we further showed that the microstructural MRI contrast within the LGN pertains to cyto- and myeloarchitectonic tissue differences between its subdivisions. These differences were based on cell and myelin density, but not on iron content. Our qMRI-based mapping strategy paves the way for an in-depth understanding of LGN function and microstructure in humans. It further enables investigations into the selective contributions of LGN subdivisions to human behavior in health and disease.

Document type Article
Note With supplementary files. - Dataset
Language English
Published at https://doi.org/10.1016/j.neuroimage.2021.118559
Other links https://doi.org/10.17605/OSF.IO/TQAYF
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1-s2.0-S1053811921008326-main (Final published version)
Supplementary materials
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