August 2021
Volume 62, Issue 11
Open Access
ARVO Imaging in the Eye Conference Abstract  |   August 2021
Spatial Patterns of Ganglion Cell Complex Thickness Are Associated with Brain Parameters
Author Affiliations & Notes
  • Mengyu Wang
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
  • Tobias Elze
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
  • Leonie Lampe
    Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Saxony, Germany
  • Kerstin Wirkner
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Saxony, Germany
  • Toralf Kirsten
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Applied Computer Science and Biosciences, University of Applied Sciences Mittweida, Mittweida, Saxony, Germany
  • Yangjiani Li
    Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
  • Mohammad Eslami
    Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
  • Joachim Thiery
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University Medical Center, Leipzig, Saxony, Germany
  • Markus Loeffler
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Saxony, Germany
  • Christoph Engel
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Saxony, Germany
  • Matthias Schroeter
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Saxony, Germany
  • Arno Villringer
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Saxony, Germany
  • A. Veronica Witte
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Saxony, Germany
  • Franziska G. Rauscher
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Saxony, Germany
  • Footnotes
    Commercial Relationships   Mengyu Wang, None; Tobias Elze, None; Leonie Lampe, None; Kerstin Wirkner, None; Toralf Kirsten, None; Yangjiani Li, None; Mohammad Eslami, None; Joachim Thiery, None; Markus Loeffler, None; Christoph Engel, None; Matthias Schroeter, None; Arno Villringer, None; A. Veronica Witte, None; Franziska Rauscher, None
  • Footnotes
    Support  K99 EY028631; R00 EY028631; R01 EY030575; R21 EY030142; R21 EY030631; P30 EY003790; Research to Prevent Blindness; LIFE Leipzig Research Center for Civilization Diseases, Leipzig University (LIFE is funded by the EU, the European Social Fund, the European Regional Development Fund, and Free State Saxony’s excellence initiative); Federal Ministry of Education and Research (BMBF), Germany: FKZ: 01EO1501 (IFB AdiposityDiseases, Postdoctoral program); Federal Ministry of Education and Research (BMBF), Germany: i:DSem - Integrative data semantics in systems medicine (031L0026).
Investigative Ophthalmology & Visual Science August 2021, Vol.62, 78. doi:
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      Mengyu Wang, Tobias Elze, Leonie Lampe, Kerstin Wirkner, Toralf Kirsten, Yangjiani Li, Mohammad Eslami, Joachim Thiery, Markus Loeffler, Christoph Engel, Matthias Schroeter, Arno Villringer, A. Veronica Witte, Franziska G. Rauscher; Spatial Patterns of Ganglion Cell Complex Thickness Are Associated with Brain Parameters. Invest. Ophthalmol. Vis. Sci. 2021;62(11):78.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Brain abnormalities have been associated with glaucoma, which damages the ganglion cell complex (GCC). In this study, we will directly associate the GCC thickness with brain parameters in subjects without glaucoma.

Methods : From the large population-based LIFE-Adult study (Leipzig Research Centre for Civilization Diseases), we extracted the machine-segmented GCC thickness from macular optical coherence tomography (SD-OCT) scans. We applied an artificial intelligence method termed non-negative matrix factorization to determine GCC thickness patterns. The brain parameters used include left and right hippocampal volumes, white matter volume and white matter hyperintensity volume, which were measured using automatic segmentation tools (FreeSurfer and LesionTOADS) on magnetic resonance imaging scans. The global average GCC thickness and each of the GCC thickness patterns were associated with the brain parameters by linear regression with adjusted effects for age, gender, scan focus and intracranial volume. P values were corrected for multiple comparisons for the GCC thickness patterns by the false discovery rate method. For linear regression analyses, subjects with glaucoma diagnosis were excluded and one random eye per subject was selected if data for both eyes were available.

Results : We determined 12 GCC thickness patterns (Figure 1) using 17,877 OCT scans from 17,877 eyes of 9,029 subjects (Age: 57.5 ± 12.4 years, 52.1% female). The brighter regions in the GCC thickness patterns indicate the more informative zones with greater variations across subjects than the blue regions. 1,747 eyes from 1,747 subjects (Age: 58.2 ± 15.8 years, 45.6% female) were used to link the GCC parameters with the brain parameters. The global average GCC thickness was not significantly associated with any of the brain parameters (Table 1). A lower Pattern 3 coefficient was correlated with lower left (p < 0.001) and right (p = 0.006) hippocampal volumes. A lower Pattern 5 coefficient was correlated with lower right hippocampal volume and higher white matter hyperintensity volume (p = 0.04 for both). A lower Pattern 5 coefficient was also correlated with lower white matter volume with borderline significance (p = 0.07; p = 0.005 before p value corrections).

Conclusions : Our results suggest that parafovea ring-shape thinning and inferior-nasal arcuate-shape thinning in GCC are specifically linked with unfavorable brain parameters.

This is a 2021 Imaging in the Eye Conference abstract.

 

 

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