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Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment
KEY POINTS: Inadequate sleep and irregular work schedules have not only adverse consequences for individual health and well‐being, but also enormous economic and safety implications for society as a whole. This study demonstrates that visual motion processing and coordinated eye movements are signif...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852126/ https://www.ncbi.nlm.nih.gov/pubmed/31389043 http://dx.doi.org/10.1113/JP277779 |
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author | Stone, Leland S. Tyson, Terence L. Cravalho, Patrick F. Feick, Nathan H. Flynn‐Evans, Erin E. |
author_facet | Stone, Leland S. Tyson, Terence L. Cravalho, Patrick F. Feick, Nathan H. Flynn‐Evans, Erin E. |
author_sort | Stone, Leland S. |
collection | PubMed |
description | KEY POINTS: Inadequate sleep and irregular work schedules have not only adverse consequences for individual health and well‐being, but also enormous economic and safety implications for society as a whole. This study demonstrates that visual motion processing and coordinated eye movements are significantly impaired when performed after sleep loss and during the biological night, and thus may be contributing to human error and accidents. Because affected individuals are often unaware of their sensorimotor and cognitive deficits, there is a critical need for non‐invasive, objective indicators of mild, yet potentially unsafe, impairment due to disrupted sleep or biological rhythms. Our findings show that a set of eye‐movement measures can be used to provide sensitive and reliable indicators of such mild neural impairments. ABSTRACT: Sleep loss and circadian misalignment have long been known to impair human cognitive and motor performance with significant societal and health consequences. It is well known that human reaction time to a visual cue is impaired following sleep loss and circadian misalignment, but it has remained unclear how more complex visuomotor control behaviour is altered under these conditions. In this study, we measured 14 parameters of the voluntary ocular tracking response of 12 human participants (six females) to systematically examine the effects of sleep loss and circadian misalignment using a constant routine 24‐h acute sleep‐deprivation paradigm. The combination of state‐of‐the‐art oculometric and sleep‐research methodologies allowed us to document, for the first time, large changes in many components of pursuit, saccades and visual motion processing as a function of time awake and circadian phase. Further, we observed a pattern of impairment across our set of oculometric measures that is qualitatively different from that observed previously with other mild neural impairments. We conclude that dynamic vision and visuomotor control exhibit a distinct pattern of impairment linked with time awake and circadian phase. Therefore, a sufficiently broad set of oculometric measures could provide a sensitive and specific behavioural biomarker of acute sleep loss and circadian misalignment. We foresee potential applications of such oculometric biomarkers assisting in the assessment of readiness‐to‐perform higher risk tasks and in the characterization of sub‐clinical neural impairment in the face of a multiplicity of potential risk factors, including disrupted sleep and circadian rhythms. |
format | Online Article Text |
id | pubmed-6852126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68521262019-11-22 Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment Stone, Leland S. Tyson, Terence L. Cravalho, Patrick F. Feick, Nathan H. Flynn‐Evans, Erin E. J Physiol Neuroscience KEY POINTS: Inadequate sleep and irregular work schedules have not only adverse consequences for individual health and well‐being, but also enormous economic and safety implications for society as a whole. This study demonstrates that visual motion processing and coordinated eye movements are significantly impaired when performed after sleep loss and during the biological night, and thus may be contributing to human error and accidents. Because affected individuals are often unaware of their sensorimotor and cognitive deficits, there is a critical need for non‐invasive, objective indicators of mild, yet potentially unsafe, impairment due to disrupted sleep or biological rhythms. Our findings show that a set of eye‐movement measures can be used to provide sensitive and reliable indicators of such mild neural impairments. ABSTRACT: Sleep loss and circadian misalignment have long been known to impair human cognitive and motor performance with significant societal and health consequences. It is well known that human reaction time to a visual cue is impaired following sleep loss and circadian misalignment, but it has remained unclear how more complex visuomotor control behaviour is altered under these conditions. In this study, we measured 14 parameters of the voluntary ocular tracking response of 12 human participants (six females) to systematically examine the effects of sleep loss and circadian misalignment using a constant routine 24‐h acute sleep‐deprivation paradigm. The combination of state‐of‐the‐art oculometric and sleep‐research methodologies allowed us to document, for the first time, large changes in many components of pursuit, saccades and visual motion processing as a function of time awake and circadian phase. Further, we observed a pattern of impairment across our set of oculometric measures that is qualitatively different from that observed previously with other mild neural impairments. We conclude that dynamic vision and visuomotor control exhibit a distinct pattern of impairment linked with time awake and circadian phase. Therefore, a sufficiently broad set of oculometric measures could provide a sensitive and specific behavioural biomarker of acute sleep loss and circadian misalignment. We foresee potential applications of such oculometric biomarkers assisting in the assessment of readiness‐to‐perform higher risk tasks and in the characterization of sub‐clinical neural impairment in the face of a multiplicity of potential risk factors, including disrupted sleep and circadian rhythms. John Wiley and Sons Inc. 2019-08-06 2019-09-01 /pmc/articles/PMC6852126/ /pubmed/31389043 http://dx.doi.org/10.1113/JP277779 Text en © 2019 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Neuroscience Stone, Leland S. Tyson, Terence L. Cravalho, Patrick F. Feick, Nathan H. Flynn‐Evans, Erin E. Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
title | Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
title_full | Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
title_fullStr | Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
title_full_unstemmed | Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
title_short | Distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
title_sort | distinct pattern of oculomotor impairment associated with acute sleep loss and circadian misalignment |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852126/ https://www.ncbi.nlm.nih.gov/pubmed/31389043 http://dx.doi.org/10.1113/JP277779 |
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