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Digital Eye-Movement Outcomes (DEMOs) as Biomarkers for Neurological Conditions: A Narrative Review
被引:0
|作者:
Graham, Lisa
[1
,2
]
Vitorio, Rodrigo
[1
,2
]
Walker, Richard
[2
]
Barry, Gill
[1
]
Godfrey, Alan
[3
]
Morris, Rosie
[1
,2
]
Stuart, Samuel
[1
,2
,4
]
机构:
[1] Northumbria Univ, Dept Sport Exercise & Rehabil, Newcastle NE1 8ST, England
[2] Northumbria Healthcare NHS Fdn Trust, North Tyneside NE29 8NH, England
[3] Northumbria Univ, Dept Comp & Informat Sci, Newcastle NE1 8ST, England
[4] Oregon Hlth & Sci Univ, Dept Neurol, Portland, OR 97239 USA
关键词:
Parkinson's disease;
mild traumatic brain injury;
eye movements;
eye tracking;
biomarker;
TRAUMATIC BRAIN-INJURY;
GABA-RELATED SUBSTANCES;
PARKINSONS-DISEASE;
OCULAR MICROTREMOR;
CONCUSSION SYMPTOMS;
HEAD-INJURY;
SACCADES;
TRACKING;
MOTOR;
SPORT;
D O I:
10.3390/bdcc8120198
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Eye-movement assessment is a key component of neurological evaluation, offering valuable insights into neural deficits and underlying mechanisms. This narrative review explores the emerging subject of digital eye-movement outcomes (DEMOs) and their potential as sensitive biomarkers for neurological impairment. Eye tracking has become a useful method for investigating visual system functioning, attentional processes, and cognitive mechanisms. Abnormalities in eye movements, such as altered saccadic patterns or impaired smooth pursuit, can act as important diagnostic indicators for various neurological conditions. The non-invasive nature, cost-effectiveness, and ease of implementation of modern eye-tracking systems makes it particularly attractive in both clinical and research settings. Advanced digital eye-tracking technologies and analytical methods enable precise quantification of eye-movement parameters, complementing subjective clinical evaluations with objective data. This review examines how DEMOs could contribute to the localisation and diagnosis of neural impairments, potentially serving as useful biomarkers. By comprehensively exploring the role of eye-movement assessment, this review aims to highlight the common eye-movement deficits seen in neurological injury and disease by using the examples of mild traumatic brain injury and Parkinson's Disease. This review also aims to enhance the understanding of the potential use of DEMOs in diagnosis, monitoring, and management of neurological disorders, ultimately improving patient care and deepening our understanding of complex neurological processes. Furthermore, we consider the broader implications of this technology in unravelling the complexities of visual processing, attention mechanisms, and cognitive functions. This review summarises how DEMOs could reshape our understanding of brain health and allow for more targeted and effective neurological interventions.
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