Thai has an alphabetic script with a distinctive feature - it has no spaces between words. Since previous research with spaced alphabetic systems (e.g., English) has suggested that readers use spaces to guide eye movements, it is of interest to investigate what physical factors might guide Thai readers' eye movements. Here the effects of word-initial and word-final position-specific character frequency, word-boundary bigram frequency, and overall word frequency on 30 Thai adults' eye movements when reading unspaced and spaced text was investigated. Linear mixed-effects model analyses of viewing time measures (first fixation duration, single fixation duration, and gaze duration) and of landing sites were conducted. Thai readers tended to land their first fixation at or near the centre of words, just as readers of spaced texts do. A critical determinant of this was word boundary characters: higher position-specific frequency of initial and of final characters significantly facilitated landing sites closer to the word centre while word-boundary bigram frequency appeared to behave as a proxy for initial and final position-specific character frequency. It appears, therefore, that Thai readers make use of the position-specific frequencies of word boundary characters in targeting words and directing eye movements to an optimal landing site.
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http://dx.doi.org/10.1016/j.visres.2013.04.007 | DOI Listing |
Epilepsia
January 2025
Division of Child Neurology, Stanford Medicine Children's Health, California, USA.
Objective: Seizures are a recognized complication of critical cardiovascular illness in infants and children. We assessed the diagnostic yield of continuous video-electroencephalography (cEEG) in a pediatric and neonatal cardiovascular intensive care unit (CVICU) by the symptoms and risk factors prompting cEEG evaluation.
Methods: This retrospective case series included all consecutive cEEGs in patients ≤21 years old performed in one CVICU over 38 months.
Data Brief
December 2024
Department of Neurophysics, Philipps University Marburg, Karl-von-Frisch Straße 8a, 35043 Marburg, Hesse, Germany.
We present a comprehensive dataset comprising head- and eye-centred video recordings from human participants performing a search task in a variety of Virtual Reality (VR) environments. Using a VR motion platform, participants navigated these environments freely while their eye movements and positional data were captured and stored in CSV format. The dataset spans six distinct environments, including one specifically for calibrating the motion platform, and provides a cumulative playtime of over 10 h for both head- and eye-centred perspectives.
View Article and Find Full Text PDFExp Brain Res
January 2025
Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, No. 1055, Sanxiang Road, Suzhou, 215004, Jiangsu Province, People's Republic of China.
This study investigated the relationship between eye movement parameters and cognitive function in patients with mild to moderate Alzheimer's disease (AD). A total of 80 patients with AD (mild and moderate) and 34 normal controls (NC) participated. Neuropsychological assessments were conducted using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), while eye movements were recorded using eye-tracking technology.
View Article and Find Full Text PDFActa Ophthalmol
January 2025
School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Purpose: Previous animal studies have found a relationship between spatial frequency and myopia. New research in humans suggest that reduced high spatial content of the visual environment may be a contributing factor for myopia development. This study aims to review the literature and elucidate the potential biological mechanisms linking spatial frequency and myopia.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Department of Psychology, Sapienza, University of Rome, Rome, Italy.
The complex interplay between low- and high-level mechanisms governing our visual system can only be fully understood within ecologically valid naturalistic contexts. For this reason, in recent years, substantial efforts have been devoted to equipping the scientific community with datasets of realistic images normed on semantic or spatial features. Here, we introduce VISIONS, an extensive database of 1136 naturalistic scenes normed on a wide range of perceptual and conceptual norms by 185 English speakers across three levels of granularity: isolated object, whole scene, and object-in-scene.
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