Schizophrenia is associated with deficits in language processing that are evident even at first-episode. However, there is debate as to how early in the processing stream the linguistic deficits appear. We measured categorical processing of artificial syllables that varied in voice-onset time (VOT), and how sensory biasing impacts categorical perception. VOT varied in 5 ms increments from 0 ms (strong /ba/) to 40 ms (strong /pa/). Participants chose whether a syllable sounded more like /ba/ or /pa/. Twenty-two individuals with long-term schizophrenia (Sz) were compared to 21 controls (HCSz), and 17 individuals at their first-episode of schizophrenia (FE) were compared to 19 controls (HCFE). There were three conditions: equiprobable - each syllable had an equal probability of being presented; /ba/-biased - 0 ms VOT (strong /ba/) presented 70% of the time; /pa/-biased - 40 ms VOT (strong /pa/) presented 70% of the time. All groups showed categorical perception and category shifts during biased conditions. Sz and FE were statistically indistinguishable from controls in the point of categorical shift, slope of their response function, and the VOT needed to reliably perceive /pa/. Together, this suggests intact ability to map acoustic stimuli to phonetic categories when based on timing differences in voiced information, both early and late in the disease.
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http://dx.doi.org/10.1016/j.schres.2019.03.028 | DOI Listing |
Health Inf Sci Syst
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Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.
This study introduces a novel classification method to distinguish children with autism from typically developing children. We recruited 50 school-age children in Taiwan, including 44 boys and 6 girls aged 6 to 12 years, and asked them to draw patterns from a visual-motor integration test to collect data and train deep learning classification models. Ensemble learning was adopted to significantly improve the classification accuracy to 0.
View Article and Find Full Text PDFPlast Surg (Oakv)
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Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Peripheral nerve injury (PNI) is a complex, debilitating condition that is increasingly being treated in interdisciplinary clinics. Patients see peripheral nerve surgeons, neurologists, physiatrists, and electrodiagnostic technicians in a single encounter. No studies have evaluated patient experience within this unique interdisciplinary care model.
View Article and Find Full Text PDFProc Biol Sci
January 2025
Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
Perceptual adaptation has been widely used to infer the existence of numerosity detectors, enabling animals to quickly estimate the number of objects in a scene. Here, we investigated, in humans, whether numerosity adaptation is influenced by stimulus feature changes as previous research suggested that adaptation is reduced when the colour of adapting and test stimuli did not match. We tested whether such adaptation reduction is due to unspecific novelty effects or changes of stimuli identity.
View Article and Find Full Text PDFActa Oncol
January 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Care Science, Sophiahemmet University, Stockholm, Sweden.
Background And Purpose: Informed consent from trial participants is mandatory. In a randomized clinical trial, we investigated (1) differences in knowledge and understanding of trial information between patients who participated and those who refrained, (2) differences in perceptions of information, and (3) differences in satisfaction with the information.
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In the field of image processing, optical neural networks offer advantages such as high speed, high throughput, and low energy consumption. However, most existing coherent optical neural networks (CONN) rely on coherent light sources to establish transmission models. The use of laser inputs and electro-optic modulation devices at the front end of these neural networks diminishes their computational capability and energy efficiency, thereby limiting their practical applications in object detection tasks.
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