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Purpose: To study the consequences of a modulating background on the luminance-response function of the human photopic flash electroretinogram for different relative timings of the flash relative to the background luminance.
Methods: Seven healthy subjects (age: 29-63 years; four females) participated in the study. We measured the response to flashes (9 flash strengths in total between 0.12 and 29.76 cd.s/m while doubling the strength at each step; 5 ms flash duration) on a steady background (24 cd/m) and on a 1 Hz modulating background (24 cd/m mean luminance; 100% contrast). The flashes were presented at 6 different phases during the sine wave (0°, 90°, 180°, 225°, 270°, and 315°). Responses to a 1 Hz sinusoidally modulating stimulus were subtracted from the responses to the combined flash plus sine-wave stimuli to obtain the flash ERGs at different phases.
Results: The a-wave and PhNR amplitudes monotonically increased with increasing flash strength. The b- and i-wave amplitudes displayed a maximum at 1.9 cd.s/m, above which they decreased again (the so-called "Photopic hill effect"). The responses could be described by an addition of a logistic growth and a Gaussian. The parameters of these functions depended on the time of flash presentation relative to the background. The dependency of the a-, b- and i-wave on flash presentation time with constant flash strength could be described by a model that assumes that the amplitude depends on the Weber fraction of the flash including a delay and a saturation.
Conclusions: The use of modulating backgrounds may increase the signal-to-noise ratio of flash ERGs and thus its diagnostic value. The dynamics of the response as a function of flash presentation time gives additional information about the retinal processing of flash and background. The photopic hill model allows the separation of processing in retinal On- and Off-pathways.
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http://dx.doi.org/10.1007/s10633-025-10029-y | DOI Listing |
J Prosthet Dent
September 2025
Professor, Department of Prosthodontics, Faculty of Dentistry, Gazi University, Ankara, Turkey.
Statement Of Problem: Despite advances in artificial intelligence (AI), the quality, reliability, and understandability of health-related information provided by chatbots is still a question mark. Furthermore, studies on maxillofacial prosthesis (MP) information from AI chatbots are lacking.
Purpose: The purpose of this study was to assess and compare the reliability, quality, readability, and similarity of responses to MP-related questions generated by 4 different chatbots.
Exp Brain Res
September 2025
Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Siena, Italy.
Postdiction is a perceptual phenomenon where the perception of an earlier stimulus is influenced by a later one. This effect is commonly studied using the 'rabbit illusion', in which temporally regular, but spatially irregular, stimuli are perceived as equidistant. While previous research has focused on short inter-stimulus intervals (100-200 ms), the role of longer intervals, which may engage late attentional processes, remains unexplored.
View Article and Find Full Text PDFJ Glaucoma
September 2025
Harvard Medical School, Boston, MA.
Purpose: Large language models (LLMs) can assist patients who seek medical knowledge online to guide their own glaucoma care. Understanding the differences in LLM performance on glaucoma-related questions can inform patients about the best resources to obtain relevant information.
Methods: This cross-sectional study evaluated the accuracy, comprehensiveness, quality, and readability of LLM-generated responses to glaucoma inquiries.
Adv Pharm Bull
July 2025
Department of Telecommunications & Systems Engineering, Universitat Autònoma de Barcelona, Sabadell, 08202, Spain.
Purpose: This study explores the potential of generative AI models to aid experts in developing scripts for pharmacokinetic (PK) models, with a focus on constructing a two-compartment population PK model using data from Hosseini et al.
Methods: Generative AI tools ChatGPT v3.5, Gemini v2.
Nat Prod Res
September 2025
Key Laboratory of Plant Resources and Chemistry in Arid Regions, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, P. R. China.
Chemical investigations of the -butanol extract of the roots of were carried out using column chromatography, flash, semi-preparative HPLC, and chiral HPLC. Five unidentified compounds, including two prenylated coumarin glucosides, two prenylated furanocoumarin glucosides, and a benzofuran glucoside, together with twelve known compounds, were isolated from the -butanol fraction of extract. The structures of these compounds were identified by HRMS, NMR, UV, ECD in combination with quantum chemical calculations, and comparison with the literature.
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