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

Müller-Axt, C., Eichner, C., Rusch, H., Kauffmann, L., Bazin, P.-L., Anwander, A., et al. (2021). Mapping the human lateral geniculate nucleus and its cytoarchitectonic subdivisions using quantitative MRI. NeuroImage, 244: 118559. doi:10.1016/j.neuroimage.2021.118559.

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 Creators:
Müller-Axt, Christa1, 2, Author              
Eichner, Cornelius2, Author              
Rusch, Henriette3, Author
Kauffmann, Louise4, 5, Author              
Bazin, Pierre-Louis6, 7, Author              
Anwander, Alfred2, Author              
Morawski, Markus3, Author              
von Kriegstein, Katharina1, 4, Author              
Affiliations:
1Faculty of Psychology, TU Dresden, Germany, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
3Paul Flechsig Institute for Brain Research, University of Leipzig, Germany, ou_persistent22              
4Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634556              
5Laboratoire de Psychologie et Neurocognition (LPNC), Centre National de la Recherche Scientifique, Université Grenoble Alpes, France, ou_persistent22              
6Integrative Model-Based Cognitive Neuroscience Research Unit (IMCN), University of Amsterdam, the Netherlands, ou_persistent22              
7Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              

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Free keywords: Lateral geniculate nucleus; Thalamus; Human; Magnocellular; Parvocellular; Quantitative MRI
 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.

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 Dates: 2021-09-032021-06-182021-09-042021-09-222021-12-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2021.118559
PMID: 34562697
Other: online ahead of print
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Project name : -
Grant ID : SENSOCOM 647051
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Funding organization : European Research Council

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 244 Sequence Number: 118559 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166