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Evaluating Quantitative and Functional MRI As Potential Techniques to Identify the Subdivisions in the Human Lateral Geniculate Nucleus

Irem Yildirim, Khan Hekmatyar, Keith A. Schneider
doi: https://doi.org/10.1101/2022.11.16.516765
Irem Yildirim
1Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, USA
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  • For correspondence: yildirim@udel.edu
Khan Hekmatyar
2Center for Biomedical and Brain Imaging, University of Delaware, Newark, DE, USA
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Keith A. Schneider
1Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, USA
2Center for Biomedical and Brain Imaging, University of Delaware, Newark, DE, USA
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Abstract

Segmenting the magnocellular (M) and parvocellular (P) divisions of the human lateral geniculate nucleus (LGN) has been challenging yet remains an important goal because the LGN is the only place in the brain where these two information streams are spatially disjoint and can be studied independently. Previous research used the amplitude of responses to different types of stimuli to separate M and P regions (Denison et al., 2014; Zhang et al., 2015). However, this method is confounded because the hilum region of the LGN exhibits greater response amplitudes to all stimuli and can be mistaken for the M subdivision (DeSimone & Schneider, 2019). Therefore, we have employed two independent methodologies that do not rely upon the functional response properties of the M and P neurons to segment the M and P regions: 1) structural quantitative MRI (qMRI) at 3T to measure the T1 relaxation time, and 2) monocular and dichoptic functional MRI (fMRI) procedures to measure eye-specific responses. Our qMRI results agreed with the anatomical expectations, identifying M regions on the ventromedial surface of the LGN. The monocular fMRI procedure was better than the dichoptic condition to identify the eye-dominance signals. Both procedures revealed significant right eye bias, and neither could reliably identify the first M layer of the LGN. These findings indicated that the qMRI methods are promising whereas the functional identification of contralateral layers requires further refinement.

Highlights

  • T1 parameter in qMRI segregates M and P regions of LGN in individual subjects at 3T.

  • Eye-specific voxels in LGN respond more strongly to monocular than dichoptic viewing.

  • Clusters of eye-specific regions but not layers can be separated at 1.5 mm resolution.

Competing Interest Statement

The authors have declared no competing interest.

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 4.0 International license.
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Posted November 16, 2022.
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Evaluating Quantitative and Functional MRI As Potential Techniques to Identify the Subdivisions in the Human Lateral Geniculate Nucleus
Irem Yildirim, Khan Hekmatyar, Keith A. Schneider
bioRxiv 2022.11.16.516765; doi: https://doi.org/10.1101/2022.11.16.516765
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Evaluating Quantitative and Functional MRI As Potential Techniques to Identify the Subdivisions in the Human Lateral Geniculate Nucleus
Irem Yildirim, Khan Hekmatyar, Keith A. Schneider
bioRxiv 2022.11.16.516765; doi: https://doi.org/10.1101/2022.11.16.516765

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