The role of eye movement dysfunction in concussion

Gunasekaran, Premkumar

The role of eye movement dysfunction in concussion

Gunasekaran, Premkumar

Permalink

Publication Type:: Thesis
Issue Date:: 2021

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download contents and abstractAdobe PDF (713.64 kB)

Adobe PDF

Download thesisAdobe PDF (6.14 MB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Gunasekaran, Premkumar
dc.date.accessioned	2022-01-18T00:59:46Z
dc.date.available	2022-01-18T00:59:46Z
dc.date.issued	2021
dc.identifier.uri	http://hdl.handle.net/10453/153248
dc.description	University of Technology Sydney. Graduate School of Health.	en_US.UTF-8
dc.description.abstract	𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Although up to 82% of diagnosed concussion episodes experience visual dysfunction, there is little to no assessment of this within Australian sport which represents an important oversight impacting the potential health of players across all levels of sport. Greater understanding of the impact of visual characteristics may help improve diagnosis and rehabilitation. 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 The first three studies involved use of various visual tools on semi-professional rugby union athletes to understand the validity of current diagnostic devices and identify potential visual deficits following concussion. The fourth represents the analysis of medical records of children previously diagnosed with concussion. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The ceiling effect of the King-Devick test for concussion diagnosis was 30 attempts with 6-8 attempts indicating increased reliability. Digital eye-tracking indicated that 73-78% of athletes exhibited faster eye movements than the system’s control population. Assessment of nine concussions in the acute phase demonstrated 89% with reduced accommodation and 33% with decreased convergence. In the retrospective review, 28% of children with concussion exhibited visual dysfunction and took 24.5 days (mean) longer to recover from symptoms compared to those without visual symptoms. 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻𝘀 Visual tools can aid our understanding of concussion however require further interpretation alongside baseline testing, post-injury diagnosis and recovery.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/153248/2/02whole.pdf
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	au.edu.uts.lib/ppc
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The role of eye movement dysfunction in concussion	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Although up to 82% of diagnosed concussion episodes experience visual dysfunction, there is little to no assessment of this within Australian sport which represents an important oversight impacting the potential health of players across all levels of sport. Greater understanding of the impact of visual characteristics may help improve diagnosis and rehabilitation. 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 The first three studies involved use of various visual tools on semi-professional rugby union athletes to understand the validity of current diagnostic devices and identify potential visual deficits following concussion. The fourth represents the analysis of medical records of children previously diagnosed with concussion. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The ceiling effect of the King-Devick test for concussion diagnosis was 30 attempts with 6-8 attempts indicating increased reliability. Digital eye-tracking indicated that 73-78% of athletes exhibited faster eye movements than the system’s control population. Assessment of nine concussions in the acute phase demonstrated 89% with reduced accommodation and 33% with decreased convergence. In the retrospective review, 28% of children with concussion exhibited visual dysfunction and took 24.5 days (mean) longer to recover from symptoms compared to those without visual symptoms. 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻𝘀 Visual tools can aid our understanding of concussion however require further interpretation alongside baseline testing, post-injury diagnosis and recovery.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/153248