Literature DB >> 27793592

Distribution differences of macular cones measured by AOSLO: Variation in slope from fovea to periphery more pronounced than differences in total cones.

Ann E Elsner1, Toco Y P Chui2, Lei Feng3, Hong Xin Song4, Joel A Papay5, Stephen A Burns6.   

Abstract

Large individual differences in cone densities occur even in healthy, young adults with low refractive error. We investigated whether cone density follows a simple model that some individuals have more cones, or whether individuals differ in both number and distribution of cones. We quantified cones in the eyes of 36 healthy young adults with low refractive error using a custom adaptive optics scanning laser ophthalmoscope. The average cone density in the temporal meridian was, for the mean±SD, 43,216±6039, 27,466±3496, 14,996±1563, and 12,207±1278cones/mm2 for 270, 630, 1480, and 2070μm from the foveal center. Cone densities at 630μm retinal eccentricity were uncorrelated to those at 2070μm, ruling out models with a constant or proportional relation of cone density to eccentricity. Subjects with high central macula cone densities had low peripheral cone densities. The cone density ratio (2070:630μm) was negatively correlated with cone density at 630μm, consistent with variations in the proportion of peripheral cones migrating towards the center. We modelled the total cones within a central radius of 7deg, using the temporal data and our published cone densities for temporal, nasal, superior, and inferior meridians. We computed an average of 221,000 cones. The coefficient of variation was 0.0767 for total cones, but higher for samples near the fovea. Individual differences occur both in total cones and other developmental factors related to cone distribution.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive optics scanning laser ophthalmoscopy; Cone density; Cone distribution; Cones; Fovea; Foveal specialization

Mesh:

Year:  2016        PMID: 27793592      PMCID: PMC5346455          DOI: 10.1016/j.visres.2016.06.015

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  25 in total

1.  In vivo adaptive optics microvascular imaging in diabetic patients without clinically severe diabetic retinopathy.

Authors:  Stephen A Burns; Ann E Elsner; Toco Y Chui; Dean A Vannasdale; Christopher A Clark; Thomas J Gast; Victor E Malinovsky; Anh-Danh T Phan
Journal:  Biomed Opt Express       Date:  2014-02-27       Impact factor: 3.732

2.  Evidence of photoreceptor migration during early foveal development: a quantitative analysis of human fetal retinae.

Authors:  C Diaz-Araya; J M Provis
Journal:  Vis Neurosci       Date:  1992-06       Impact factor: 3.241

3.  Foveal fine structure in retinopathy of prematurity: an adaptive optics Fourier domain optical coherence tomography study.

Authors:  Daniel X Hammer; Nicusor V Iftimia; R Daniel Ferguson; Chad E Bigelow; Teoman E Ustun; Amber M Barnaby; Anne B Fulton
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-01-25       Impact factor: 4.799

4.  Variability in Human Cone Topography Assessed by Adaptive Optics Scanning Laser Ophthalmoscopy.

Authors:  Tianjiao Zhang; Pooja Godara; Ernesto R Blanco; Russell L Griffin; Xiaolin Wang; Christine A Curcio; Yuhua Zhang
Journal:  Am J Ophthalmol       Date:  2015-04-30       Impact factor: 5.258

5.  Foveal cone photopigment distribution: small alterations associated with macular pigment distribution.

Authors:  A E Elsner; S A Burns; E Beausencourt; J J Weiter
Journal:  Invest Ophthalmol Vis Sci       Date:  1998-11       Impact factor: 4.799

6.  Evolution of geographic atrophy of the retinal pigment epithelium.

Authors:  J P Sarks; S H Sarks; M C Killingsworth
Journal:  Eye (Lond)       Date:  1988       Impact factor: 3.775

7.  Lucky averaging: quality improvement of adaptive optics scanning laser ophthalmoscope images.

Authors:  Gang Huang; Zhangyi Zhong; Weiyao Zou; Stephen A Burns
Journal:  Opt Lett       Date:  2011-10-01       Impact factor: 3.776

8.  Foveal phase retardation changes associated with normal aging.

Authors:  Dean A VanNasdale; Ann E Elsner; Timothy Hobbs; Stephen A Burns
Journal:  Vision Res       Date:  2011-08-27       Impact factor: 1.886

9.  Genetic variations strongly influence phenotypic outcome in the mouse retina.

Authors:  Austin S Jelcick; Yang Yuan; Barrett D Leehy; Lakeisha C Cox; Alexandra C Silveira; Fang Qiu; Sarah Schenk; Andrew J Sachs; Margaux A Morrison; Arne M Nystuen; Margaret M DeAngelis; Neena B Haider
Journal:  PLoS One       Date:  2011-07-14       Impact factor: 3.240

10.  Quantitative analysis of cone photoreceptor distribution and its relationship with axial length, age, and early age-related macular degeneration.

Authors:  Ryo Obata; Yasuo Yanagi
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

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  11 in total

1.  High speed adaptive optics ophthalmoscopy with an anamorphic point spread function.

Authors:  Jing Lu; Boyu Gu; Xiaolin Wang; Yuhua Zhang
Journal:  Opt Express       Date:  2018-05-28       Impact factor: 3.894

Review 2.  Adaptive optics imaging of the human retina.

Authors:  Stephen A Burns; Ann E Elsner; Kaitlyn A Sapoznik; Raymond L Warner; Thomas J Gast
Journal:  Prog Retin Eye Res       Date:  2018-08-27       Impact factor: 21.198

3.  OFF bipolar cell density varies by subtype, eccentricity, and along the dorsal ventral axis in the mouse retina.

Authors:  Michael J Camerino; Ian J Engerbretson; Parker A Fife; Nathan B Reynolds; Mikel H Berria; Jamie R Doyle; Mellisa R Clemons; Michael D Gencarella; Bart G Borghuis; Peter G Fuerst
Journal:  J Comp Neurol       Date:  2020-11-09       Impact factor: 3.028

Review 4.  Photoreceptor-Based Biomarkers in AOSLO Retinal Imaging.

Authors:  Katie M Litts; Robert F Cooper; Jacque L Duncan; Joseph Carroll
Journal:  Invest Ophthalmol Vis Sci       Date:  2017-05-01       Impact factor: 4.799

5.  Human foveal cone photoreceptor topography and its dependence on eye length.

Authors:  Yiyi Wang; Nicolas Bensaid; Pavan Tiruveedhula; Jianqiang Ma; Sowmya Ravikumar; Austin Roorda
Journal:  Elife       Date:  2019-07-26       Impact factor: 8.140

Review 6.  Cones in ageing and harsh environments: the neural economy hypothesis.

Authors:  Ann E Elsner; Joel A Papay; Kirby D Johnston; Lucie Sawides; Alberto de Castro; Brett J King; Durand W Jones; Christopher A Clark; Thomas J Gast; Stephen A Burns
Journal:  Ophthalmic Physiol Opt       Date:  2020-02-04       Impact factor: 3.117

Review 7.  Variability in Retinal Neuron Populations and Associated Variations in Mass Transport Systems of the Retina in Health and Aging.

Authors:  Moussa A Zouache
Journal:  Front Aging Neurosci       Date:  2022-02-25       Impact factor: 5.750

8.  Cone Photoreceptors in Diabetic Patients.

Authors:  Ann E Elsner; Brittany R Walker; Robert N Gilbert; Vamsi Parimi; Joel A Papay; Thomas J Gast; Stephen A Burns
Journal:  Front Med (Lausanne)       Date:  2022-03-17

9.  Human Foveal Cone and RPE Cell Topographies and Their Correspondence With Foveal Shape.

Authors:  Rigmor C Baraas; Hilde R Pedersen; Kenneth Knoblauch; Stuart J Gilson
Journal:  Invest Ophthalmol Vis Sci       Date:  2022-02-01       Impact factor: 4.799

10.  In vivo assessment of foveal geometry and cone photoreceptor density and spacing in children.

Authors:  Hanieh Mirhajianmoghadam; Ashutosh Jnawali; Gwen Musial; Hope M Queener; Nimesh B Patel; Lisa A Ostrin; Jason Porter
Journal:  Sci Rep       Date:  2020-06-02       Impact factor: 4.996

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