Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: New Research - Registered Report, Cognition and Behavior

Aging Effects and Test–Retest Reliability of Inhibitory Control for Saccadic Eye Movements

Martyna Beata Płomecka, Zofia Barańczuk-Turska, Christian Pfeiffer and Nicolas Langer
eNeuro 9 September 2020, 7 (5) ENEURO.0459-19.2020; https://doi.org/10.1523/ENEURO.0459-19.2020
Martyna Beata Płomecka
1Methods of Plasticity Research, Department of Psychology, University of Zurich, CH-8050 Zurich, Switzerland
3University Research Priority Program (URPP) Dynamic of Healthy Aging, CH-8050 Zurich, Switzerland
4Neuroscience Center Zurich (ZNZ), CH-8057 Zurich, Switzerland
5Center for Reproducible Science University of Zurich Hirschengraben 84, 8001 Zurich, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Martyna Beata Płomecka
Zofia Barańczuk-Turska
1Methods of Plasticity Research, Department of Psychology, University of Zurich, CH-8050 Zurich, Switzerland
2Institute of Mathematics, University of Zurich, CH-8057 Zurich, Switzerland
3University Research Priority Program (URPP) Dynamic of Healthy Aging, CH-8050 Zurich, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christian Pfeiffer
1Methods of Plasticity Research, Department of Psychology, University of Zurich, CH-8050 Zurich, Switzerland
3University Research Priority Program (URPP) Dynamic of Healthy Aging, CH-8050 Zurich, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicolas Langer
1Methods of Plasticity Research, Department of Psychology, University of Zurich, CH-8050 Zurich, Switzerland
3University Research Priority Program (URPP) Dynamic of Healthy Aging, CH-8050 Zurich, Switzerland
4Neuroscience Center Zurich (ZNZ), CH-8057 Zurich, Switzerland
5Center for Reproducible Science University of Zurich Hirschengraben 84, 8001 Zurich, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nicolas Langer
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    A, The experimental procedure of a single run, consisting of prosaccade task (PRO) and antisaccade task (ANTI) blocks, which each consisted of either 40 or 60 trials per block. There was 1 min between each block. B, Schematic top view of the experimental setup and gaze behavior during a prosaccade and antisaccade condition trial. The black square represents the target fixation in the center of the screen, and the smaller black square represents the peripheral stimulus (cue). The peripheral stimulus is presented 1000 ms on the screen and starts after a duration of the target fixation of 800–1200 ms. C, The sequence of latent events assumed by the SERIA model, generating as output either early prosaccades (EARLY PRO), late prosaccades (LATE PRO), or antisaccade events (LATE ANTI).

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Top panels, Raw distributions with error responses plotted as a cumulative proportion of the total number of trials for young and old group, showing a rightward shift of the correct antisaccade distribution relative to both the prosaccade and error antisaccades distributions. Bottom panels, The same data as shown above as reciprobit plots. Error responses are plotted as a cumulative proportion of the total number of trials.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Paired distributions of four output measures (reaction time, error rate, gain, peak velocity) for test and retest measurement timepoints. Each point represents one subject. Solid red and blue lines correspond to linear regression model fit for prosaccades and antisaccades, respectively.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Reciprobit plots for error rate in the antisaccade trials, comparison for the young and old group, for test and retest. Error responses are plotted as a cumulative proportion of the total number of trials.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Bland–Altman plots for two measures of interest; error rate and reaction time. Horizontal dashed lines are drawn at the limits of agreement, which are defined as the mean difference plus and minus 1.96 times the SD of the differences.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Reaction times (A, B) and proportion of correct trials (C, D); plots of the Bayesian model predictions. Large gray points show mean fitted values; the mean of posterior distribution and 98.7% CIs. Small red (prosaccades) and blue (antisaccades) dots represent means over all blocks (two for prosaccades, three for antisaccades) for all the participants.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    Paired distributions of four output measures (reaction time, error rate, gain, peak velocity) for test and retest measurement timepoints. Each point represents one subject. Solid red and blue lines correspond to linear regression model fit for prosaccades and antisaccades, respectively.

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    Bland–Altman plots for two measures of interest; reaction time and error rate. Horizontal dashed lines are drawn at the limits of agreement, which are defined as the mean difference plus and minus 1.96 times the SD of the differences.

Tables

  • Figures
    • View popup
    Table 1

    Descriptives of reaction times for the first saccade, error rate, gain of the first saccade (ratio of actual saccade amplitude divided by the desired saccade amplitude), and peak saccadic velocity for the prosaccade and antisaccade condition for the young and old group

    Young group (n = 20)Old group (n = 20)
    Prossacade conditionAntisaccade conditionProssacade conditionAntisaccade condition
    MeanSDMinMaxMeanSDMinMaxMeanSDMinMaxMeanSDMinMax
    Reaction time (ms)268835179030388517863091185179636013051794
    Error rate (%)1.31.920107.836.54027.55.355.31021.617.214.7057.4
    Gain of the saccade (ratio)0.810.180.012.580.790.220.013.480.760.280.013.070.70.320.014.03
    Peak saccadic velocity (°/s)3312294532703262595.0327028819344.03270267210443270
    • View popup
    Table 2

    ICCs with 95% confidence intervals in brackets for four output measures, separately for prosaccade and antisaccade condition and for old and young group

    Young group (n = 20)Old group (n = 20)
    ProsaccadesAntisaccadesProsaccadesAntisaccades
    Reaction time0.66 (0.51; 0.77)0.64 (0.53; 0.71)0.85 (0.78; 0.9)0.8 (0.74; 0.85)
    Error rate0.22 (0.09; 0.41)0.45 (0.33; 0.56)0.47 (0.27; 0.62)0.75 (0.67; 0.86)
    Gain of the saccade0.51 (0.32; 0.65)0.62 (0.52; 0.7)0.64 (0.49; 0.75)0.61 (0.5; 0.7)
    Peak saccadic velocity0.51 (0.33; 0.66)0.5 (0.39; 0.61)0.71 (0.58; 0.8)0.59 (0.48; 0.69)
    • View popup
    Table 3

    Bayesian model estimates

    Dependent variableParameterEstimate (error)CIlowerCIupper
    Reaction timeAge
    Type
    Age:type
    32.94 (6.75)
    –43.86 (1.93)
    –3.37 (2.65)
    16.06
    –48.68
    –10.37
    49.85
    –38.99
    3.04
    Error rateAge
    Type
    Age:type
    0.06 (0.01)
    –0.07 (0.00)
    –0.04 (0.01)
    0.04
    –0.08
    –0.05
    0.09
    –0.06
    –0.02
    Peak velocityAge
    Type
    Age:type
    –9.24 (9.16)
    11.65 (3.38)
    0.31 (4.51)
    –36.41
    3.08
    –11.03
    10.40
    20.08
    11.73
    GainAge
    Type
    Age:type
    –0.07 (0.01)
    0.02 (0.00)
    0.02 (0.01)
    –0.09
    0.01
    0.01
    –0.04
    0.03
    0.04
    • Younger group and antisaccade condition are references (i.e., older group had on average 32.94 ms longer reaction time). CI = 98.7% CI.

    • View popup
    Table 4

    ICCs with 95% CIs in brackets for four output measures, separately for prosaccade and antisaccade condition and for older and younger groups

     Younger group (n = 73)Older group (n = 71)
     ProsaccadesAntisaccadesProsaccadesAntisaccades
    Reaction time0.74  (0.61; 0.83)0.75 (0.63; 0.84)0.87 (0.80; 0.92)0.89 (0.82; 0.93)
    Error rate0.52 (0.32; 0.69)0.77 (0.65; 0.85)0.70 (0.56; 0.80)0.73 (0.59; 0.82)
    Gain of the saccade0.47  (0.291; 0.577)0.66 (0.51; 0.77)0.64 (0.47; 0.75)0.89 (0.82; 0.93)
    Peak saccadic velocity0.52  (0.33; 0.68)0.59 (0.41; 0.71)0.59 (0.40;0.72)0.89 (0.82; 0.93)
    • View popup
    Table 5

    Bayesian model estimates for the PROSA model

    Dependent variableParameterEstimate (error)CIlowerCIupper
    Inhibitory fail probabilityAge
    Type
    Age:type
    0.08 (0.01)
    0.87 (0.01)
    –0.11 (0.02)
    0.06
    0.85
    –0.14
    0.09
    0.90
    –0.08
    Inhibitory fail reaction timeAge
    Type
    Age:type
    0.19 (0.05)
    0.69 (0.05)
    0.11 (0.07)
    0.07
    0.59
    –0.05
    0.30
    0.81
    0.27
    • Younger group and antisaccade condition are references (i.e., older group had on average 8% higher probability for inhibitory failures). CI = 96.9% CI.

    • View popup
    Table 6

    Bayesian model estimates for the SERIA model

    Dependent variableParameterEstimate (error)CIlowerCIupper
    Late saccade probabilityAge
    Type
    Age:type
    0.05 (0.01)
    0.92 (0.01)
    –0.08 (0.01)
    0.03
    0.90
    –0.11
    0.07
    0.94
    –0.05
    Late saccade reaction timeAge
    Type
    Age:type
    0.39 (0.05)
    0.09 (0.06)
    –0.15 (0.08)
    0.25
    –0.04
    –0.34
    0.52
    0.23
    0.05
    Inhibitory fail probabilityAge
    Type
    Age:type
    0.03 (0.01)
    0.08 (0.01)
    –0.08 (0.02)
    0.01
    0.05
    –0.11
    0.07
    0.12
    –0.05
    Inhibitory fail reaction timeAge
    Type
    Age:type
    0.08 (0.04)
    0.29 (0.04)
    –0.17 (0.06)
    0.01
    0.19
    –0.30
    0.18
    0.39
    –0.03
    • Younger group and antisaccade condition are references (i.e., older group had on average 5% higher probability for late saccades). CI = 98.5% CI.

    • View popup
    Table 7

    ICCs with 95% CIs in brackets for four output measures of SERIA model separately for prosaccade and antisaccade conditions and for older and younger groups

     Younger group (n = 73)Older group (n = 71)
     ProsaccadesAntisaccadesProsaccadesAntisaccades
    Inhibitory fail probability0.36  (0.15; 0.54)0.78 (0.67; 0.83)0.16 (0.01; 0.36)0.81 (0.71; 0.88)
    Inhibitory fail reaction time0.06 (0.00; 0.29)0.42 (0.2; 0.59)0.22 (0.00; 0.44)0.31 (0.08; 0.51)
    Late prosaccade probability0.04  (–0.19; 0.27)0.70 (0.56; 0.80)0.20 (–0.03; 0.41)0.53 (0.34; 0.68)
    Late prosaccade reaction time0.52  (0.16; 0.55)0.52 (0.33; 0.68)0.38 (0.16; 0.55)0.86 (0.79; 0.91)
    • View popup
    Table 8

    The 2.5% and 97.5% quantile from each variable of the SERIA model over 100 repetitions

     Younger group (n = 73)Older group (n = 71)
     ProsaccadesAntisaccadesProsaccadesAntisaccades
    Inhibitory fail probability0.110; 0.1500.057; 0.0630.082; 0.1060.086; 0.096
    Inhibitory fail reaction time1.580; 1.7471.320; 1.4371.523; 1.6981.422; 1.521
    Late prosaccade probability0.963; 0.9660.040; 0.0460.935; 0.9380.091; 0.100
    Late prosaccade reaction time2.870; 2.9572.884; 2.9283.169; 3.2083.199; 3.257
Back to top

In this issue

eneuro: 7 (5)
eNeuro
Vol. 7, Issue 5
September/October 2020
  • Table of Contents
  • Index by author
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Aging Effects and Test–Retest Reliability of Inhibitory Control for Saccadic Eye Movements
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Aging Effects and Test–Retest Reliability of Inhibitory Control for Saccadic Eye Movements
Martyna Beata Płomecka, Zofia Barańczuk-Turska, Christian Pfeiffer, Nicolas Langer
eNeuro 9 September 2020, 7 (5) ENEURO.0459-19.2020; DOI: 10.1523/ENEURO.0459-19.2020

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Aging Effects and Test–Retest Reliability of Inhibitory Control for Saccadic Eye Movements
Martyna Beata Płomecka, Zofia Barańczuk-Turska, Christian Pfeiffer, Nicolas Langer
eNeuro 9 September 2020, 7 (5) ENEURO.0459-19.2020; DOI: 10.1523/ENEURO.0459-19.2020
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Pilot data
    • Stage 2
    • Computational model
    • PROSA
    • SERIA
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • aging
  • antisaccade task
  • eye-tracking
  • inhibitory control
  • test–retest

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research - Registered Report

  • GABAB Receptor signaling in CA1 Pyramidal Cells is not Regulated by Aging in the APP/PS1 Mouse Model of Amyloid Pathology
  • The effects of mindfulness meditation on mechanisms of attentional control in young and older adults: a preregistered eye tracking study
Show more Research Article: New Research - Registered Report

Cognition and Behavior

  • GABAB Receptor signaling in CA1 Pyramidal Cells is not Regulated by Aging in the APP/PS1 Mouse Model of Amyloid Pathology
  • The effects of mindfulness meditation on mechanisms of attentional control in young and older adults: a preregistered eye tracking study
  • Disrupting motor cortical regional activity during motor sequence skill training impairs human motor visuomotor skill acquisition and learning that is not sequence-specific
Show more Cognition and Behavior

Subjects

  • Cognition and Behavior
  • Registered Reports
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2026 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.