Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI

View ORCID ProfileChrista Müller-Axt, View ORCID ProfileCornelius Eichner, Henriette Rusch, Louise Kauffmann, View ORCID ProfilePierre-Louis Bazin, View ORCID ProfileAlfred Anwander, View ORCID ProfileMarkus Morawski, View ORCID ProfileKatharina von Kriegstein
doi: https://doi.org/10.1101/2020.08.14.250779
Christa Müller-Axt
1Faculty of Psychology, Technical University of Dresden, 01069 Dresden, Germany
2Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christa Müller-Axt
  • For correspondence: muelleraxt@cbs.mpg.de
Cornelius Eichner
2Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cornelius Eichner
Henriette Rusch
3Paul Flechsig Institute of Brain Research, University of Leipzig, 04103 Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Louise Kauffmann
2Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
4LPNC, Grenoble Alpes University, 38000 Grenoble, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierre-Louis Bazin
2Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
5Integrative Model-based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, 1001 NK Amsterdam, Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Pierre-Louis Bazin
Alfred Anwander
2Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alfred Anwander
Markus Morawski
2Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
3Paul Flechsig Institute of Brain Research, University of Leipzig, 04103 Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Markus Morawski
Katharina von Kriegstein
1Faculty of Psychology, Technical University of Dresden, 01069 Dresden, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Katharina von Kriegstein
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

The human lateral geniculate nucleus (LGN) of the visual thalamus is a key subcortical processing site for visual information analysis. A non-invasive assessment of the LGN and its functionally and microstructurally distinct magnocellular (M) and parvocellular (P) subdivisions in-vivo in humans is challenging, because of its small size and location deep inside the brain. Here we tested whether recent advances in high-field structural quantitative MRI (qMRI) can enable MR-based mapping of human LGN subdivisions. We employed ultra-high resolution 7 Tesla qMRI of a post-mortem human LGN specimen and high-resolution 7 Tesla in-vivo qMRI in a large participant sample. We found that a quantitative assessment of the LGN and a differentiation of its subdivisions was possible based on microstructure-informed MR-contrast alone. In both the post-mortem and in-vivo 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 a subsequent ground truth histological examination of the same post-mortem LGN specimen, we showed that the observed T1 contrast pertains to cyto- and myeloarchitectonic differences between LGN subdivisions. These differences were based on cell and myelin density, but not on iron content. Our qMRI-based mapping strategy overcomes shortcomings of previous fMRI-based mapping approaches. It paves the way for an in-depth understanding of the function and microstructure of the LGN in humans. It also enables investigations into the selective contributions of LGN subdivisions to human behavior in health and disease.

Significance Statement The lateral geniculate nucleus (LGN) is a key processing site for the analysis of visual information. Due to its small size and deep location within the brain, non-invasive mapping of the LGN and its microstructurally distinct subdivisions in humans is challenging. Using quantitative MRI methods that are sensitive to underlying microstructural tissue features, we show that a differentiation of the LGN and its microstructurally distinct subdivisions is feasible in humans non-invasively. These findings are important because they open up novel opportunities to assess the hitherto poorly understood complex role of the LGN in human perception and cognition, as well as the contribution of selective LGN subdivision impairments to various clinical conditions including developmental dyslexia, glaucoma and multiple sclerosis.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://doi.org/10.17605/OSF.IO/TQAYF

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted August 14, 2020.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI
Christa Müller-Axt, Cornelius Eichner, Henriette Rusch, Louise Kauffmann, Pierre-Louis Bazin, Alfred Anwander, Markus Morawski, Katharina von Kriegstein
bioRxiv 2020.08.14.250779; doi: https://doi.org/10.1101/2020.08.14.250779
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI
Christa Müller-Axt, Cornelius Eichner, Henriette Rusch, Louise Kauffmann, Pierre-Louis Bazin, Alfred Anwander, Markus Morawski, Katharina von Kriegstein
bioRxiv 2020.08.14.250779; doi: https://doi.org/10.1101/2020.08.14.250779

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3479)
  • Biochemistry (7318)
  • Bioengineering (5296)
  • Bioinformatics (20197)
  • Biophysics (9976)
  • Cancer Biology (7703)
  • Cell Biology (11250)
  • Clinical Trials (138)
  • Developmental Biology (6418)
  • Ecology (9916)
  • Epidemiology (2065)
  • Evolutionary Biology (13280)
  • Genetics (9352)
  • Genomics (12554)
  • Immunology (7674)
  • Microbiology (18939)
  • Molecular Biology (7417)
  • Neuroscience (40893)
  • Paleontology (298)
  • Pathology (1226)
  • Pharmacology and Toxicology (2126)
  • Physiology (3140)
  • Plant Biology (6838)
  • Scientific Communication and Education (1270)
  • Synthetic Biology (1891)
  • Systems Biology (5296)
  • Zoology (1085)