Evidence map›Paper›PMID 35201339›Full record

ArticleTranslational vision science & technology2022

Characterizing Fixational Eye Motion Variance Over Time as Recorded by the Tracking Scanning Laser Ophthalmoscope.

Shivany Y Condor Montes, Daniel Bennett, Ethan Bensinger, Lakshmisahithi Rani, Younes Sherkat, Chao Zhao, Zachary Helft, Austin Roorda, Ari J Green, Christy K Sheehy

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Microperimetry Reliability Assessed From Fixation Performance.Translational vision science & technology · 2023
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Shivany Y Condor MontesUniversity of California - San Francisco, Department of Neurology, San Francisco, CA, USA.
Daniel BennettUniversity of California - San Francisco, Department of Neurology, San Francisco, CA, USA.
Ethan BensingerUniversity of California Berkeley, Vision Science Graduate Group, Berkeley, CA, USA.
Lakshmisahithi RaniUniversity of California - San Francisco, Department of Neurology, San Francisco, CA, USA.
Younes SherkatUniversity of California Berkeley, College of Engineering, Berkeley, CA, USA.
Chao ZhaoUniversity of California - San Francisco, Department of Neurology, San Francisco, CA, USA.
Zachary HelftC. Light Technologies, Inc. Berkeley, CA, USA.
Austin RoordaUniversity of California Berkeley, Vision Science Graduate Group, Berkeley, CA, USA.
Ari J GreenUniversity of California - San Francisco, Department of Neurology, San Francisco, CA, USA.
Christy K SheehyUniversity of California - San Francisco, Department of Neurology, San Francisco, CA, USA.
University of California, San Francisco · USUniversity of California, Berkeley · USBerkeley College · US

Funding

Advanced Technology to Study Visual Function on a Cellular ScaleR01EY023591 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI DUNCAN, JACQUE LYNNE, ROORDA, AUSTIN · 2014 to 2023
$11.2M
NRSA Training CoreTL1TR001871 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SOMSOUK, MA · 2016 to 2025
$10.1M
Retinal eye-tracking for the prognosis and monitoring of multiple sclerosisR41NS100222 · NINDS · C. LIGHT TECHNOLOGIES, INC. · PI SHEEHY, CHRISTY KATHLEEN · 2018 to 2018
$225k
NCATS NIH HHS TL1 TR001871NEI NIH HHS R01 EY023591NINDS NIH HHS R41 NS100222
6 · The paper itself

Abstract

purposeThe purpose of this study was to characterize the benign biological variance of fixational microsaccades in a control population using a tracking scanning laser ophthalmoscope (TSLO), accounting for machine accuracy and precision, to determine ideal testing conditions to detect pathologic change in fixational eye motion (FEM).

methodsWe quantified the accuracy and precision of the TSLO, analyzing measurements made by three operators on a model eye. Repeated, 10-second retinal motion traces were then recorded in 17 controls, 3 times a day (morning, afternoon, and evening), on 3 separate days. Microsaccade metrics (MMs) of frequency, average amplitude, peak velocity, and peak acceleration were extracted. Trace to trace, interday, and intraday variability were calculated across all subjects.

resultsIntra-operator and machine variation contributed minimally to total variation, with only 0.007% and 0.14% contribution for frequency and amplitude respectively. Bias was detected, with lower accuracy for higher amplitudes. Participants had an average (SD) microsaccade frequency of 0.84 Hz (0.52 Hz), amplitude of 0.32 degrees (0.11 degrees), peak velocity of 43.68 degrees/s (14.02 degrees/s), and peak acceleration of 13,920.04 degrees/s2 (4,186.84 degrees/s2). The first trace recorded within a session significantly differed from the second two in both microsaccade acceleration and velocity (P < 0.05), and frequency was 0.098 Hz higher in the evenings (P < 0.05). There was no MM difference between days and no evidence of a session-level learning effect (P > 0.05).

conclusionsThe TSLO is both accurate and precise. However, biological inter- and intra-individual variance is present. Trace to trace variability and time of day should be accounted for to optimize detection of pathologic change.

Indexed as

Fixation, OcularOphthalmoscopesHumansLasersMotionRetina

Identifiers

PMID35201339
PMCPMC8883154
OpenAlexW4214547936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.