Retinal ganglion cell endowment is correlated with optic tract fiber cross section, not density.
Fixel-based analysis
Retinal ganglion cell endowment
Visual pathway variations
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 10 2022
15 10 2022
Historique:
received:
30
03
2022
revised:
27
06
2022
accepted:
19
07
2022
pubmed:
23
7
2022
medline:
17
8
2022
entrez:
22
7
2022
Statut:
ppublish
Résumé
There is substantial variation between healthy individuals in the number of retinal ganglion cells (RGC) in the eye, with commensurate variation in the number of axons in the optic tracts. Fixel-based analysis of diffusion MR produces estimates of fiber density (FD) and cross section (FC). Using these fixel measurements along with retinal imaging, we asked if individual differences in RGC tissue volume are correlated with individual differences in FD and FC measurements obtained from the optic tracts, and subsequent structures along the cortical visual pathway. We find that RGC endowment is correlated with optic tract FC, but not with FD. RGC volume had a decreasing relationship with measurements from subsequent regions of the visual system (LGN volume, optic radiation FC/FD, and V1 surface area). However, we also found that the variations in each visual area were correlated with the variations in its immediately adjacent visual structure. We only observed these serial correlations when FC is used as the measure of interest for the optic tract and radiations, but no significant relationship was found when FD represented these white matter structures. From these results, we conclude that the variations in RGC endowment, LGN volume, and V1 surface area are better predicted by the overall cross section of the optic tract and optic radiations as compared to the intra-axonal restricted signal component of these white matter pathways. Additionally, the presence of significant correlations between adjacent, but not distant, anatomical structures suggests that there are multiple, local sources of anatomical variation along the visual pathway.
Identifiants
pubmed: 35868617
pii: S1053-8119(22)00611-5
doi: 10.1016/j.neuroimage.2022.119495
pmc: PMC10362491
mid: NIHMS1912262
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
119495Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB015922
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY030227
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB022744
Pays : United States
Organisme : NEI NIH HHS
ID : P30 EY001583
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY028601
Pays : United States
Organisme : NEI NIH HHS
ID : U01 EY025864
Pays : United States
Informations de copyright
Copyright © 2022. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Conflicts of Interest The authors declare that they have no relevant financial interests that relate to the research described in this paper.
Références
J Neurosci. 2022 Jul 18;:
pubmed: 35853720
Neuroimage. 2017 Jan 1;144(Pt A):58-73
pubmed: 27639350
Brain Struct Funct. 2018 Nov;223(8):3889-3900
pubmed: 29951918
PLoS Comput Biol. 2022 Jan 10;18(1):e1009771
pubmed: 35007281
PLoS One. 2016 Nov 3;11(11):e0164677
pubmed: 27812129
Biophys J. 1994 Jan;66(1):259-67
pubmed: 8130344
Hum Brain Mapp. 2019 Feb 15;40(3):777-788
pubmed: 30511784
Br J Ophthalmol. 2009 Nov;93(11):1448-52
pubmed: 19019921
Neuroimage. 2019 Nov 15;202:116137
pubmed: 31473352
Hum Brain Mapp. 2020 Aug 15;41(12):3198-3211
pubmed: 32304267
Neuroimage. 2012 Jul 16;61(4):1000-16
pubmed: 22484410
Neurology. 2019 May 7;92(19):e2240-e2249
pubmed: 30971483
Sci Rep. 2019 Jun 27;9(1):9360
pubmed: 31249360
Elife. 2018 Dec 06;7:
pubmed: 30520736
Proc Natl Acad Sci U S A. 2012 Mar 6;109(10):3985-90
pubmed: 22343285
Invest Ophthalmol Vis Sci. 2019 Sep 3;60(12):3803-3812
pubmed: 31504081
J Neurophysiol. 2013 Jul;110(2):481-94
pubmed: 23615546
Neuroimage. 2014 Dec;103:202-213
pubmed: 25219332
Neuroimage Clin. 2018 Jan 11;18:51-59
pubmed: 29868441
Neuroimage. 2008 Jan 15;39(2):647-60
pubmed: 17977024
Neuroimage. 2013 Oct 15;80:105-24
pubmed: 23668970
NMR Biomed. 2019 Apr;32(4):e3762
pubmed: 28696013
Neuroimage. 1999 Feb;9(2):179-94
pubmed: 9931268
J Neurosci. 1997 Apr 15;17(8):2859-68
pubmed: 9092607
Vision Res. 1985;25(12):1795-810
pubmed: 3832605
Neuroimage. 2018 Dec;183:314-326
pubmed: 30121337
Transl Vis Sci Technol. 2020 Dec 07;9(13):9
pubmed: 33344053
Exp Ther Med. 2017 Aug;14(2):1153-1156
pubmed: 28810572
Neuroimage. 2012 Feb 15;59(4):3976-94
pubmed: 22036682
Elife. 2021 Aug 03;10:
pubmed: 34342581
Neuroimage. 2011 Feb 1;54(3):2033-44
pubmed: 20851191
J Neurosci. 2008 Apr 9;28(15):4047-56
pubmed: 18400904
Hum Brain Mapp. 2020 Jul;41(10):2583-2595
pubmed: 32216121
J Anat. 1967 Jun;101(Pt 3):393-401
pubmed: 6051727
IEEE Trans Med Imaging. 2021 Feb;40(2):635-647
pubmed: 33104507
Neuroimage. 2014 Jul 15;95:232-47
pubmed: 24657355
Neuroimage. 2014 Dec;103:411-426
pubmed: 25109526
Neuroimage. 2014 Apr 15;90:449-68
pubmed: 24389422
J Comp Neurol. 1990 Oct 1;300(1):5-25
pubmed: 2229487