Photopic and scotopic VEPs in patients with congenital stationary night-blindness
Language English Country Netherlands Media print
Document type Comparative Study, Journal Article, Research Support, Non-U.S. Gov't
PubMed
15675196
Knihovny.cz E-resources
- MeSH
- Dark Adaptation MeSH
- Humans MeSH
- Adolescent MeSH
- Night Blindness congenital physiopathology MeSH
- Pattern Recognition, Visual physiology MeSH
- Sensory Thresholds MeSH
- Light MeSH
- Retinal Rod Photoreceptor Cells physiology MeSH
- Visual Pathways physiology MeSH
- Evoked Potentials, Visual physiology MeSH
- Check Tag
- Humans MeSH
- Adolescent MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Comparative Study MeSH
Extended set of visual evoked potentials (VEPs) using pattern-reversal (PREPs), linear motion-onset and radial (expansion) motion-onset stimuli (M-VEPs) (detailed specification at http://www.lfhk.cuni.cz/elf) was used to verify congenital stationary night-blindness (CSNB) characteristics in 7 patients (compared to 7 age matched controls) in photopic conditions (luminance of 17 cd/m2). No differences were found in any of the M-VEPs, whilst PREPs displayed prolonged latencies in 3 of 7 CSNB patients. Additionally, the PREPs and M-VEPs were tested in 3 normal and 3 CSNB subjects (the only available ones from the original group) over large range of scotopic, mesopic and photopic luminances (from 0.0001 to 65.4 cd/m2). Both types of low luminance VEPs had distinctly increased luminance threshold needed for reliable VEPs eliciting in CSNB patients (0.06 cd/m2) when compared with controls (0.003 cd/m2); the VEP appearance threshold was almost identical with the perceptual threshold in both groups. Thus, our pilot study proved that CSNB can be objectively detected also via scotopic VEP examination. Since the prolonged PREP latencies at 17 cd/m2 normalised with luminance increase, it indicates that the lower luminance stimuli (compared to the standard recommended by ISCEV) can be more sensitive for some visual disorders detection.
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