Literature DB >> 33828756

Microsaccade generation requires a foveal anchor.

Jorge Otero-Millan1, Rachel E Langston2, Francisco Costela3, Stephen L Macknik4, Susana Martinez-Conde4.   

Abstract

Visual scene characteristics can affect various aspects of saccade and microsaccade dynamics. For example, blank visual scenes are known to elicit diminished saccade and microsaccade production, compared to natural scenes. Similarly, microsaccades are less frequent in the dark. Yet, the extent to which foveal versus peripheral visual information contribute to microsaccade production remains unclear: because microsaccade directions are biased towards covert attention locations, it follows that peripheral visual stimulation could suffice to produce regular microsaccade dynamics, even without foveal stimulation being present. Here we determined the characteristics of microsaccades as a function of foveal and/or peripheral visual stimulation, while human subjects conducted four types of oculomotor tasks (fixation, free viewing, guided viewing and passive viewing). Foveal information was either available, or made unavailable, by the presentation of simulated scotomas. We found foveal stimulation to be critical for microsaccade production, and peripheral stimulation, by itself, to be insufficient to yield normal microsaccades. In each oculomotor task, microsaccade production decreased when scotomas blocked foveal stimulation. Across comparable foveal stimulation conditions, the type of peripheral stimulation (static versus dynamic) moreover affected microsaccade production, with dynamic backgrounds resulting in lower microsaccadic rates than static backgrounds. These results indicate that a foveal visual anchor is necessary for normal microsaccade generation. Whereas peripheral visual stimulation, on its own, does not suffice for normal microsaccade production, it can nevertheless modulate microsaccadic characteristics. These findings extend our current understanding of the links between visual input and ocular motor control, and may therefore help improve the diagnosis and treatment of ophthalmic conditions that degrade central vision, such as age-related macular degeneration.

Entities:  

Keywords:  artificial scotoma; foveal vision; free-viewing; microsaccades; natural scenes; saccades; scotoma

Year:  2020        PMID: 33828756      PMCID: PMC7962683          DOI: 10.16910/jemr.12.6.14

Source DB:  PubMed          Journal:  J Eye Mov Res        ISSN: 1995-8692            Impact factor:   0.957


  43 in total

1.  Microsaccade dynamics during covert attention.

Authors:  Jochen Laubrock; Ralf Engbert; Reinhold Kliegl
Journal:  Vision Res       Date:  2005-03       Impact factor: 1.886

2.  Microsaccades are triggered by low retinal image slip.

Authors:  Ralf Engbert; Konstantin Mergenthaler
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-21       Impact factor: 11.205

3.  Human-level saccade detection performance using deep neural networks.

Authors:  Marie E Bellet; Joachim Bellet; Hendrikje Nienborg; Ziad M Hafed; Philipp Berens
Journal:  J Neurophysiol       Date:  2018-12-19       Impact factor: 2.714

4.  Reduced amblyopic eye fixation stability cannot be simulated using retinal-defocus-induced reductions in visual acuity.

Authors:  Rajkumar Nallour Raveendran; William Bobier; Benjamin Thompson
Journal:  Vision Res       Date:  2018-11-10       Impact factor: 1.886

Review 5.  The impact of microsaccades on vision: towards a unified theory of saccadic function.

Authors:  Susana Martinez-Conde; Jorge Otero-Millan; Stephen L Macknik
Journal:  Nat Rev Neurosci       Date:  2013-02       Impact factor: 34.870

6.  Task difficulty in mental arithmetic affects microsaccadic rates and magnitudes.

Authors:  Eva Siegenthaler; Francisco M Costela; Michael B McCamy; Leandro L Di Stasi; Jorge Otero-Millan; Andreas Sonderegger; Rudolf Groner; Stephen Macknik; Susana Martinez-Conde
Journal:  Eur J Neurosci       Date:  2013-11-07       Impact factor: 3.386

7.  Gaze-contingent simulation of retinopathy: some potential pitfalls and remedies.

Authors:  Carlos Aguilar; Eric Castet
Journal:  Vision Res       Date:  2011-02-16       Impact factor: 1.886

8.  Effects of driving time on microsaccadic dynamics.

Authors:  Leandro L Di Stasi; Michael B McCamy; Sebastian Pannasch; Rebekka Renner; Andrés Catena; José J Cañas; Boris M Velichkovsky; Susana Martinez-Conde
Journal:  Exp Brain Res       Date:  2014-11-23       Impact factor: 1.972

9.  Predicting artificial visual field losses: A gaze-based inference study.

Authors:  Erwan Joël David; Pierre Lebranchu; Matthieu Perreira Da Silva; Patrick Le Callet
Journal:  J Vis       Date:  2019-12-02       Impact factor: 2.240

10.  Abnormal Fixational Eye Movements in Amblyopia.

Authors:  Aasef G Shaikh; Jorge Otero-Millan; Priyanka Kumar; Fatema F Ghasia
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.