Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i‐Share‐Bordeaux study
Given the anatomical and functional similarities between the retina and the brain, the retina could be a “window” for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell‐inner plexiform l...
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Published in | Human brain mapping Vol. 44; no. 13; pp. 4722 - 4737 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Hoboken, USA
John Wiley & Sons, Inc
01.09.2023
Wiley |
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Abstract | Given the anatomical and functional similarities between the retina and the brain, the retina could be a “window” for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell‐inner plexiform layer, GC‐IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i‐Share study. We used multivariate linear models to study the cross‐sectional association of each retinal nerve layer thickness assessed by spectral‐domain optical coherence tomography (SD‐OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC‐IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects.
In a sample composed exclusively of young healthy subjects, we found significant associations between retinal nerve layers with occipital brain volumes, and with brain diffusion MRI parameters, globally and in regions containing associative, commissural tracts, and in a projection area involved in the visual pathway. Our results suggest common maturational processes in the retina and the brain. Further studies are needed to confirm these results and to study common factors that might explain the parallel maturation of the retina and the brain. |
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AbstractList | Given the anatomical and functional similarities between the retina and the brain, the retina could be a “window” for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell‐inner plexiform layer, GC‐IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i‐Share study. We used multivariate linear models to study the cross‐sectional association of each retinal nerve layer thickness assessed by spectral‐domain optical coherence tomography (SD‐OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC‐IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects. Given the anatomical and functional similarities between the retina and the brain, the retina could be a “window” for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell‐inner plexiform layer, GC‐IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i‐Share study. We used multivariate linear models to study the cross‐sectional association of each retinal nerve layer thickness assessed by spectral‐domain optical coherence tomography (SD‐OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC‐IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects. In a sample composed exclusively of young healthy subjects, we found significant associations between retinal nerve layers with occipital brain volumes, and with brain diffusion MRI parameters, globally and in regions containing associative, commissural tracts, and in a projection area involved in the visual pathway. Our results suggest common maturational processes in the retina and the brain. Further studies are needed to confirm these results and to study common factors that might explain the parallel maturation of the retina and the brain. Given the anatomical and functional similarities between the retina and the brain, the retina could be a "window" for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell-inner plexiform layer, GC-IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i-Share study. We used multivariate linear models to study the cross-sectional association of each retinal nerve layer thickness assessed by spectral-domain optical coherence tomography (SD-OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC-IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects.Given the anatomical and functional similarities between the retina and the brain, the retina could be a "window" for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell-inner plexiform layer, GC-IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i-Share study. We used multivariate linear models to study the cross-sectional association of each retinal nerve layer thickness assessed by spectral-domain optical coherence tomography (SD-OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC-IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects. |
Author | Crivello, Fabrice Tzourio, Christophe Schweitzer, Cédric Helmer, Catherine Lima Rebouças, Sara Cristina Delcourt, Cécile Korobelnik, Jean‐François Tsuchida, Ami |
AuthorAffiliation | 1 University of Bordeaux, INSERM, BPH, U1219 Bordeaux France 2 University of Bordeaux, CNRS, CEA, IMN, GIN Bordeaux France 4 Department of Ophthalmology Bordeaux University Hospital Bordeaux France 3 Bordeaux University Hospital Bordeaux France |
AuthorAffiliation_xml | – name: 2 University of Bordeaux, CNRS, CEA, IMN, GIN Bordeaux France – name: 1 University of Bordeaux, INSERM, BPH, U1219 Bordeaux France – name: 4 Department of Ophthalmology Bordeaux University Hospital Bordeaux France – name: 3 Bordeaux University Hospital Bordeaux France |
Author_xml | – sequence: 1 givenname: Sara Cristina orcidid: 0000-0001-7013-0589 surname: Lima Rebouças fullname: Lima Rebouças, Sara Cristina – sequence: 2 givenname: Fabrice orcidid: 0000-0001-6950-984X surname: Crivello fullname: Crivello, Fabrice organization: University of Bordeaux, CNRS, CEA, IMN, GIN – sequence: 3 givenname: Ami orcidid: 0000-0001-5160-6203 surname: Tsuchida fullname: Tsuchida, Ami organization: University of Bordeaux, CNRS, CEA, IMN, GIN – sequence: 4 givenname: Christophe orcidid: 0000-0002-6517-2984 surname: Tzourio fullname: Tzourio, Christophe organization: Bordeaux University Hospital – sequence: 5 givenname: Cédric orcidid: 0000-0002-2162-9479 surname: Schweitzer fullname: Schweitzer, Cédric organization: Bordeaux University Hospital – sequence: 6 givenname: Jean‐François orcidid: 0000-0002-4438-9535 surname: Korobelnik fullname: Korobelnik, Jean‐François organization: Bordeaux University Hospital – sequence: 7 givenname: Cécile orcidid: 0000-0002-2099-0481 surname: Delcourt fullname: Delcourt, Cécile – sequence: 8 givenname: Catherine orcidid: 0000-0002-5169-7421 surname: Helmer fullname: Helmer, Catherine email: catherine.helmer@u-bordeaux.fr |
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CitedBy_id | crossref_primary_10_1016_j_msard_2024_105713 crossref_primary_10_31083_j_jin2303056 |
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Keywords | brain imaging magnetic resonance imaging brain optical coherence tomography young retinal layers Young Adult Neuroimaging Magnetic Resonance Imaging Brain Humans Male Female Retinal Ganglion Cells |
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Snippet | Given the anatomical and functional similarities between the retina and the brain, the retina could be a “window” for viewing brain structures. We investigated... Given the anatomical and functional similarities between the retina and the brain, the retina could be a "window" for viewing brain structures. We investigated... |
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SubjectTerms | Age Brain Brain - ultrastructure brain imaging Diffusion layers Female Humans Life Sciences Magnetic Resonance Imaging Male Medical imaging Nerves Neuroimaging Older people optical coherence tomography Orientation behavior Parameters Regional analysis Retina Retinal Ganglion Cells - ultrastructure retinal layers Santé publique et épidémiologie Students Substantia grisea Tensors Thickness Tomography Visual pathways young Young Adult Young adults |
Title | Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i‐Share‐Bordeaux study |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhbm.26412 https://www.ncbi.nlm.nih.gov/pubmed/37401639 https://www.proquest.com/docview/2845359625 https://www.proquest.com/docview/2833024817 https://hal.science/hal-04273772 https://pubmed.ncbi.nlm.nih.gov/PMC10400793 |
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