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Neural representation of sensorimotor features in language-motor areas during auditory and visual perception.
Commun Biol
January 2025
School of Psychology, Shenzhen University, Shenzhen, China.
Speech processing involves a complex interplay between sensory and motor systems in the brain, essential for early language development. Recent studies have extended this sensory-motor interaction to visual word processing, emphasizing the connection between reading and handwriting during literacy acquisition. Here we show how language-motor areas encode motoric and sensory features of language stimuli during auditory and visual perception, using functional magnetic resonance imaging (fMRI) combined with representational similarity analysis.
View Article and Find Full Text PDFThe Potential Role of Speech Rate as an Etiologic Factor in Dysphonia.
J Voice
January 2025
Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran. Electronic address:
Objectives/hypothesis: Speech rate is deemed as one of the contributing factors in dysphonia. This study sought out if dysphonic patients speak faster than their normal counterparts. Also, the effects of dysphonia subtype (organic, functional, and neurologic), sex, and age on speech rate were investigated.
View Article and Find Full Text PDFPsychometric evaluation and cross-cultural adaptation of the Konkani version of the Oral Health-related Early Childhood Quality of Life (OH-ECQoL) scale.
J Indian Soc Pedod Prev Dent
October 2024
Department of Pediatric and Preventive Dentistry, Goa Dental College and Hospital, Bambolim, Goa, India.
Context: The oral health-related early childhood quality of life (OH-ECQoL) tool, designed to evaluate how dental issues affect preschoolers' and their family's quality of life (QoL), has been translated and validated in many languages. However, it has not yet been adapted into the Konkani language.
Aim: Cross-cultural adaptation of OH-ECQoL tool for use in the Konkani-speaking population in the state of Goa among primary caregivers of children aged 24-71 months.
The association between multilingual experience factors and cognitive functioning in older adults: A Lifelines study.
J Gerontol B Psychol Sci Soc Sci
January 2025
Linguistics and English as a Second Language, Faculty of Arts, University of Groningen, Groningen, the Netherlands.
Objectives: The complex life experience of speaking two or more languages has been suggested to preserve cognition in older adulthood. This study aimed to investigate this further by examining the relationship between multilingual experience variables and cognitive functioning in a large cohort of older adults in the diversely multilingual north of the Netherlands.
Method: 11,332 older individuals participating in the Lifelines Cohort Study completed a language experience questionnaire.
Generative Artificial Intelligence: Applications in Scientific Writing and Data Analysis in Wound Healing Research.
Adv Skin Wound Care
January 2025
At the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, United States, Adrian Chen, BS, Aleksandra Qilleri, BS, and Timothy Foster, BS, are Medical Students. Amit S. Rao, MD, is Project Manager, Department of Surgery, Wound Care Division, Northwell Wound Healing Center and Hyperbarics, Northwell Health, Hempstead. Sandeep Gopalakrishnan, PhD, MAPWCA, is Associate Professor and Director, Wound Healing and Tissue Repair Analytics Laboratory, School of Nursing, College of Health Professions, University of Wisconsin-Milwaukee. Jeffrey Niezgoda, MD, MAPWCA, is Founder and President Emeritus, AZH Wound Care and Hyperbaric Oxygen Therapy Center, Milwaukee, and President and Chief Medical Officer, WebCME, Greendale, Wisconsin. Alisha Oropallo, MD, is Professor of Surgery, Donald and Barbara Zucker School of Medicine and The Feinstein Institutes for Medical Research, Manhasset New York; Director, Comprehensive Wound Healing Center, Northwell Health; and Program Director, Wound and Burn Fellowship program, Northwell Health.
Generative artificial intelligence (AI) models are a new technological development with vast research use cases among medical subspecialties. These powerful large language models offer a wide range of possibilities in wound care, from personalized patient support to optimized treatment plans and improved scientific writing. They can also assist in efficiently navigating the literature and selecting and summarizing articles, enabling researchers to focus on impactful studies relevant to wound care management and enhancing response quality through prompt-learning iterations.
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