Aim: To evaluate the performance of dominant eye (DE) for color vision discrimination ability among the medical students with normal color vision.
Methods: Total of 50 students studying at Başkent University Faculty of Medicine, including 31 males (62%) and 19 females (38%), with visual acuity of 20/20 and without congenital color vision deficiency (CCVD) evaluated by Ishihara pseudoisochromatic plate test (IPPT) were recruited for this prospective comparative study upon their voluntary participation. DE was determined by the Gündoğan Method. The color discrimination ability was examined with the Farnsworth-Munsell 100 hue (FM100) test. Test was applied by two days interval to all subjects for the three times while two eyes (TE), right eye (RE) and left eye (LE) were seeing for detecting red-green (r/g), blue-yellow (b/y) local color spectral regions error scores. The error scores were evaluated for both in DE and non-dominant (NDE). P values below 0.05 were considered to be statistically significant.
Results: The students aged 21.18±2.52 years (mean±SD). Without sex difference the RE and the LE dominancy were found 22 (44%) and 28 (56%) respectively and FM 100 test total error scores of DE in both r/g-b/y regions were found without gender difference 24.12±14.70, 34.68±18.95, respectively. For the NDE in both, r/g-b/y regions error scores without gender difference were 32.20±19.21, 36.24±17.56, respectively. The difference of total error scores between the DE and NDE was found as 58.80±29.92, 68.44±31.46. The statistical differences among the DE and the NDE in r/g local region and total error scores were found significant in both genders (P<0.05, P<0.001).
Conclusion: The color vision discrimination performance ability was found prominent for DE. This superiority was attributed to higher sensitivity of the r/g local color spectral region. We conclude that DE has priority in r/g color spectral region, probably including inhibition of NDE.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3808930 | PMC |
| http://dx.doi.org/10.3980/j.issn.2222-3959.2013.05.34 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Measuring Residents' Competence in Chest Tube Insertion on Thiel-Embalmed Bodies: A Validity Study.
Simul Healthc
December 2024
From the Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium (L.D.M., I.V.H., L.D., W.W.); Department of Thoracic and Vascular Surgery, Ghent University Hospital, Ghent, Belgium (I.V.H., L.D.); Department of Basic and Applied Medical Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium (P.V.d.V.); Department of Emergency Medicine, Ghent University Hospital, Ghent, Belgium (P.V.d.V.); Department of Gastrointestinal Surgery, Ghent University Hospital, Ghent, Belgium (H.V., W.W.); Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (L.K.); and Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark (L.K.).
Introduction: Chest tube insertions (CTIs) have a high complication rate, prompting the training of technical skills in simulated settings. However, assessment tools require validity evidence prior to their implementation. This study aimed to collect validity evidence for assessment of technical skills in CTI on Thiel-embalmed human bodies.
View Article and Find Full Text PDFBackground: The early diagnosis and monitoring of Alzheimer's disease (AD) presents a significant challenge due to its heterogeneous nature, which includes variability in cognitive symptoms, diagnostic test results, and progression rates. This study aims to enhance the understanding of AD progression by integrating neuroimaging metrics with demographic data using a novel machine learning technique.
Method: We used supervised Variational Autoencoders (VAEs), a generative AI method, to analyze high-dimensional neuroimaging data for AD progression, incorporating age and gender as covariates.
Background: Alzheimer's disease (AD) has been mainly thought of as a disease involving gray matter changes. However, despite known correlations between white matter integrity and cognition, less is known about how disruptions to white matter during the development of AD underpin cognitive impairment. This study tests the associations between disruptions to white matter along the AD clinical continuum (cognitive unimpaired (CU): cognitive impaired (CI) - Mild Cognitive Impairment (MCI) and AD) and cognition using diffusion tensor imaging (DTI) and multi-tissue neurite and orientation dispersion and density imaging (mtNODDI) models of the multi-shell connectome diffusion MRI (ms-dMRI) data from the Alzheimer's Disease Connectome Project (ADCP).
View Article and Find Full Text PDFBackground: There is an urgent need for neuropsychological screening tests that are easily deployed and reliable. We have developed a digital neuropsychological screening protocol that is administered on a tablet, automatically scored using artificial intelligence, and requires approximately 10 minutes to administer. This tablet-administered protocol assesses the requisite neurocognitive constructs associated with emergent neurodegenerative illness METHOD: The digital protocol was administered to 77 ambulatory care/ memory clinic patients (Table 1).
View Article and Find Full Text PDFBiomarkers.
Alzheimers Dement
December 2024
Mallinckrodt Institute of Radiology, Washington University School of Medicine in St Louis, St Louis, MO, USA.
Background: Application of the amyloid/tau/neurodegeneration (ATN) framework is varied, with some research relying on binary assessment of biomarkers and some using continuous or multidimensional measures. There are few investigations which directly evaluate how differing operationalizations of ATN affect prediction of cognitive impairment.
Method: We selected 473 individuals from ADNI who received PET imaging for amyloid-beta (AV-45) and tau (flortaucipir), as well as volumetric MRI.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!