Macromolecular tissue volume mapping of lateral geniculate nucleus subdivisions in living human brains

被引:2
作者
Oishi, Hiroki [1 ,2 ,3 ]
Takemura, Hiromasa [1 ,2 ,4 ,5 ]
Amano, Kaoru [1 ,2 ,6 ]
机构
[1] Natl Inst Informat & Commun Technol, Adv ICT Res Inst, Ctr Informat & Neural Networks CiNet, Suita, Osaka 5650871, Japan
[2] Osaka Univ, Grad Sch Frontier Biosci, Suita, Osaka 5650871, Japan
[3] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94704 USA
[4] Natl Inst Physiol Sci, Div Sensory & Cognit Brain Mapping, Dept Syst Neurosci, Okazaki, Aichi 4448585, Japan
[5] SOKENDAI Grad Univ Adv Studies, Dept Physiol Sci, Sch Life Sci, Hayama, Kanagawa 2400193, Japan
[6] Univ Tokyo, Grad Sch Informat Sci & Technol, Tokyo 1138656, Japan
基金
日本学术振兴会;
关键词
Lateral geniculate nucleus; Magnocellular; Parvocellular; Structural MRI; Functional MRI; Visual system; SPATIAL ATTENTION; MYELIN CONTENT; VISUAL-CORTEX; FMRI; GLAUCOMA; LAYER; REGISTRATION; MORPHOMETRY; PERFORMANCE; PHYSIOLOGY;
D O I
10.1016/j.neuroimage.2022.119777
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The lateral geniculate nucleus (LGN) is a key thalamic nucleus in the visual system, which has an important function in relaying retinal visual input to the visual cortex. The human LGN is composed mainly of magnocellular (M) and parvocellular (P) subdivisions, each of which has different stimulus selectivity in neural response properties. Previous studies have discussed the potential relationship between LGN subdivisions and visual disorders based on psychophysical data on specific types of visual stimuli. However, these relationships remain speculative because non-invasive measurements of these subdivisions are difficult due to the small size of the LGN. Here we propose a method to identify these subdivisions by combining two structural MR measures: high-resolution proton-density weighted images and macromolecular tissue volume (MTV) maps. We defined the M and P subdivisions based on MTV fraction data and tested the validity of the definition by (1) comparing the data with that from human histological studies, (2) comparing the data with functional magnetic resonance imaging measurements on stimulus selectivity, and (3) analyzing the test-retest reliability. The findings demonstrated that the spatial organization of the M and P subdivisions was consistent across subjects and in line with LGN subdivisions observed in human histological data. Moreover, the difference in stimulus selectivity between the subdivisions identified using MTV was consistent with previous physiology literature. The definition of the subdivisions based on MTV was shown to be robust over measurements taken on different days. These results suggest that MTV mapping is a promising approach for evaluating the tissue properties of LGN subdivisions in living humans. This method potentially will enable neuroscientific and clinical hypotheses about the human LGN subdivisions to be tested.
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页数:15
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共 96 条
  • [1] Quantitative water content mapping at clinically relevant field strengths: A comparative study at 1.5 T and 3 T.
    Abbas, Zaheer
    Gras, Vincent
    Moellenhoff, Klaus
    Oros-Peusquens, Ana-Maria
    Shah, Nadim Joni
    [J]. NEUROIMAGE, 2015, 106 : 404 - 413
  • [2] A unified 3D map of microscopic architecture and MRI of the human brain
    Alkemade, Anneke
    Bazin, Pierre-Louis
    Balesar, Rawien
    Pine, Kerrin
    Kirilina, Evgeniya
    Moeller, Harald E.
    Trampel, Robert
    Kros, Johan M.
    Keuken, Max C.
    Bleys, Ronald L. A. W.
    Swaab, Dick F.
    Herrler, Andreas
    Weiskopf, Nikolaus
    Forstmann, Birte U.
    [J]. SCIENCE ADVANCES, 2022, 8 (17):
  • [3] BigBrain: An Ultrahigh-Resolution 3D Human Brain Model
    Amunts, Katrin
    Lepage, Claude
    Borgeat, Louis
    Mohlberg, Hartmut
    Dickscheid, Timo
    Rousseau, Marc-Etienne
    Bludau, Sebastian
    Bazin, Pierre-Louis
    Lewis, Lindsay B.
    Oros-Peusquens, Ana-Maria
    Shah, Nadim J.
    Lippert, Thomas
    Zilles, Karl
    Evans, Alan C.
    [J]. SCIENCE, 2013, 340 (6139) : 1472 - 1475
  • [4] Andrews TJ, 1997, J NEUROSCI, V17, P2859
  • [5] Test-Retest Reliability and Concurrent Validity of in Vivo Myelin Content Indices: Myelin Water Fraction and Calibrated T1w/T2w Image Ratio
    Arshad, Muzamil
    Stanley, Jeffrey A.
    Raz, Naftali
    [J]. HUMAN BRAIN MAPPING, 2017, 38 (04) : 1780 - 1790
  • [6] Neurochemical changes in the primate lateral geniculate nucleus following lesions of striate cortex in infancy and adulthood: implications for residual vision and blindsight
    Atapour, Nafiseh
    Worthy, Katrina H.
    Rosa, Marcello G. P.
    [J]. BRAIN STRUCTURE & FUNCTION, 2021, 226 (09) : 2763 - 2775
  • [7] Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
    Avants, B. B.
    Epstein, C. L.
    Grossman, M.
    Gee, J. C.
    [J]. MEDICAL IMAGE ANALYSIS, 2008, 12 (01) : 26 - 41
  • [8] Single-cell and single-nucleus RNA-seq uncovers shared and distinct axes of variation in dorsal LGN neurons in mice, non-human primates, and humans
    Bakken, Trygve E.
    van Velthoven, Cindy T. J.
    Menon, Vilas
    Hodge, Rebecca D.
    Yao, Zizhen
    Thuc Nghi Nguyen
    Graybuck, Lucas T.
    Horwitz, Gregory D.
    Bertagnolli, Darren
    Goldy, Jeff
    Yanny, Anna Marie
    Garren, Emma
    Parry, Sheana
    Casper, Tamara
    Shehata, Soraya, I
    Barkan, Eliza R.
    Szafer, Aaron
    Levi, Boaz P.
    Dee, Nick
    Smith, Kimberly A.
    Sunkin, Susan M.
    Bernard, Amy
    Phillips, John
    Hawrylycz, Michael J.
    Koch, Christof
    Murphy, Gabe J.
    Lein, Ed
    Zeng, Hongkui
    Tasic, Bosiljka
    [J]. ELIFE, 2021, 10
  • [9] A non-device-specific approach to display characterization based on linear, nonlinear, and hybrid search algorithms
    Ban, Hiroshi
    Yamamoto, Hiroki
    [J]. JOURNAL OF VISION, 2013, 13 (06): : 20
  • [10] A Robust Methodology for In Vivo T1 Mapping
    Barral, Joelle K.
    Gudmundson, Erik
    Stikov, Nikola
    Etezadi-Amoli, Maryam
    Stoica, Petre
    Nishimura, Dwight G.
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2010, 64 (04) : 1057 - 1067