Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i-Share-Bordeaux study
| dc.rights.license | open | en_US |
| dc.contributor.author | LIMA REBOUÇAS, Sara Cristina | |
| hal.structure.identifier | Institut des Maladies Neurodégénératives [Bordeaux] [IMN] | |
| dc.contributor.author | CRIVELLO, Fabrice | |
| hal.structure.identifier | Institut des Maladies Neurodégénératives [Bordeaux] [IMN] | |
| dc.contributor.author | TSUCHIDA, Ami | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | TZOURIO, Christophe
IDREF: 69829209 | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | SCHWEITZER, Cedric
ORCID: 0000-0002-2162-9479 IDREF: 133631583 | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | KOROBELNIK, Jean-Francois
ORCID: 0000-0002-4438-9535 IDREF: 028739272 | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | DELCOURT, Cecile
ORCID: 0000-0002-2099-0481 IDREF: 035105291 | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | HELMER, Catherine | |
| dc.date.accessioned | 2023-11-07T13:57:38Z | |
| dc.date.available | 2023-11-07T13:57:38Z | |
| dc.date.issued | 2023-09-01 | |
| dc.identifier.issn | 1097-0193 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/184658 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject.en | Humans | |
| dc.subject.en | Male | |
| dc.subject.en | Female | |
| dc.subject.en | Young Adult | |
| dc.subject.en | Neuroimaging | |
| dc.subject.en | Magnetic Resonance Imaging | |
| dc.subject.en | Brain | |
| dc.subject.en | Retinal Ganglion Cells | |
| dc.title.en | Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i-Share-Bordeaux study | |
| dc.title.alternative | Hum Brain Mapp | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1002/hbm.26412 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| dc.identifier.pubmed | 37401639 | en_US |
| bordeaux.journal | Human Brain Mapping | en_US |
| bordeaux.page | 4722-4737 | en_US |
| bordeaux.volume | 44 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.issue | 13 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.institution | CNRS | |
| bordeaux.team | HEALTHY | en_US |
| bordeaux.team | LEHA | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.identifier.funderID | Conseil Régional Aquitaine | en_US |
| bordeaux.identifier.funderID | Institut National Du Cancer | en_US |
| bordeaux.import.source | pubmed | |
| hal.identifier | hal-04273772 | |
| hal.version | 1 | |
| hal.date.transferred | 2023-11-07T13:57:41Z | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | true | |
| workflow.import.source | pubmed | |
| dc.rights.cc | Pas de Licence CC | en_US |
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