Assessment of Saccadic Velocity at the Bedside

Ling, Melvin L. H.; Tynan, Dominique; Ruan, Claire W; Lau, Fiona S; Spencer, Sascha; Agar, Ashish; Francis, Ian C.

doi:10.1080/01658107.2019.1616776

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…Ocular motility demonstrated bilateral reduced abduction, more prominent in the left eye, consistent with bilateral cranial nerve (CN) VI paresis. This was confirmed by slow abducting saccadic velocities in comparison with the adducting saccadic velocities (1). Her visual fields to confrontation, color vision testing, and pupils were normal.…”

mentioning

confidence: 74%

Intracranial Hypertension Following COVID Vaccination in a Teenager: Case Report and Review of the Literature

Jiang¹,

Huang²,

Shah³

et al. 2022

Journal of Neuro-Ophthalmology

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mentioning

confidence: 74%

Intracranial Hypertension Following COVID Vaccination in a Teenager: Case Report and Review of the Literature

Jiang¹,

Huang²,

Shah³

et al. 2022

Journal of Neuro-Ophthalmology

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“…As for today, the main practice of oculometric assessment is still performed either by a clinician at the bedside (Ling et al 2020 ), or in a laboratory setting, where complex eye-tracking systems are utilized to acquire eye movement objective data (Larrazabal et al 2019 ). In our study, we used a software-based platform with minimal requirements of a PC screen and a web camera, so that it was easily implemented in a clinical setting with PD patients.…”

Section: Discussionmentioning

confidence: 99%

Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease

Reiner

Franken

Raveh³

et al. 2023

J Neural Transm

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Abnormalities of oculometric measures (OM) are widely described in people with Parkinson's disease (PD). However, knowledge of correlations between abnormal OM, disease severity and clinical assessment in PD patients is still lacking. To evaluate these correlations, PD patients (215 patients, mean age 69 ± 9.1 years, 79 females) with severe (H&Y > 3) and mild to moderate (H&Y ≤ 2) disease, and 215 age-matched healthy subjects were enrolled. All patients were evaluated using MDS-UPDRS and an oculometric test using computer vision and deep learning algorithms. Comparisons of OM between groups and correlations between OM and MDS-UPDRS scores were calculated. Saccadic latency (ms) was prolonged in patients with severe compared with mild to moderate disease (pro-saccades: 267 ± 69 vs. 238 ± 53, p = 0.0011; anti-saccades: 386 ± 119 vs. 352 ± 106, p = 0.0393) and in patients with mild to moderate disease versus healthy subjects (pro-saccades: 238 ± 53 vs. 220 ± 45, p = 0.0003; anti-saccades: 352 ± 106 vs. 289 ± 71, p < 0.0001). Error rate (%) was higher among patients with severe (64.06 ± 23.08) versus mild to moderate disease (49.84 ± 24.81, p = 0.0001), and versus healthy subjects (49.84 ± 24.81 vs. 28.31 ± 21.72, p = 0.00001). Response accuracy (%) was lower for patients with severe (75.66 ± 13.11) versus mild to moderate disease (79.66 ± 13.56, p = 0.0462), and versus healthy subjects (79.66 ± 13.56 vs. 90.27 ± 8.79, p < 0.0001). Pro- and anti-saccadic latency, error rate and accuracy were correlated with MDS-UPDRS scores (r = 0.32, 0.28, 0.36 and -0.30, respectively, p < 0.0001) and similar correlations were found with its axial subscore (R = 0.38, 0.29, 0.44, and -0.30, respectively, p < 0.0001). Several OM were different in patients under levodopa treatment. OM worsened as PD severity increases, and were correlated with MDS-UPDRS scores. Using OM can be implemented for PD patients’ assessment as a tool to follow disease progression.

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“…More recently, interest has grown in vision-based assessments using rapid automatized naming tasks like the King-Devick, Mobile Universal Lexicon Evaluation System (MULES), and Staggered Uneven Number (SUN) test [ 55 , 56 , 57 , 58 ]. Much attention has also been directed toward quantifying eye movements with video oculography (VOG) and applying these measurements to clinical concussion diagnosis [ 55 , 59 , 60 , 61 ].…”

Section: Ocular Motor- and Vision-based Approachesmentioning

confidence: 99%

Precision Concussion Management: Approaches to Quantifying Head Injury Severity and Recovery

de Souza,

Jarmol,

Bell

et al. 2023

Brain Sciences

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Mitigating the substantial public health impact of concussion is a particularly difficult challenge. This is partly because concussion is a highly prevalent condition, and diagnosis is predominantly symptom-based. Much of contemporary concussion management relies on symptom interpretation and accurate reporting by patients. These types of reports may be influenced by a variety of factors for each individual, such as preexisting mental health conditions, headache disorders, and sleep conditions, among other factors. This can all be contributory to non-specific and potentially misleading clinical manifestations in the aftermath of a concussion. This review aimed to conduct an examination of the existing literature on emerging approaches for objectively evaluating potential concussion, as well as to highlight current gaps in understanding where further research is necessary. Objective assessments of visual and ocular motor concussion symptoms, specialized imaging techniques, and tissue-based concentrations of specific biomarkers have all shown promise for specifically characterizing diffuse brain injuries, and will be important to the future of concussion diagnosis and management. The consolidation of these approaches into a comprehensive examination progression will be the next horizon for increased precision in concussion diagnosis and treatment.

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Assessment of Saccadic Velocity at the Bedside

Cited by 8 publications

References 15 publications

Intracranial Hypertension Following COVID Vaccination in a Teenager: Case Report and Review of the Literature

Intracranial Hypertension Following COVID Vaccination in a Teenager: Case Report and Review of the Literature

Oculometric measures as a tool for assessment of clinical symptoms and severity of Parkinson’s disease

Precision Concussion Management: Approaches to Quantifying Head Injury Severity and Recovery

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