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Purpose This study investigated whether changes in brain activity preceding spoken words can be used as a neural marker of speech intention. Specifically, changes in the contingent negative variation (CNV) were examined prior to speech production in three different study designs to determine a method that maximizes signal detection in a speaking task. Method Electroencephalography data were collected in three different protocols to elicit the CNV in a spoken word task that varied the timing and type of linguistic information. The first protocol provided participants with the word to be spoken before the instruction of whether or not to speak, the second provided both the word and the instruction to speak, and the third provided the instruction to speak before the word. Participants ( = 18) were split into three groups (one for each protocol) and were instructed to either speak (Go) or refrain from speaking (NoGo) each word according to task instructions. The CNV was measured by analyzing the difference in slope between Go and NoGo trials. Results Statistically significant effects of hemispheric laterality on the CNV slope confirm the third protocol where the participants know they will speak in advance of the word, as the paradigm that reliably elicits a CNV response related to speech intention. Conclusions The maximal CNV response when the instruction is known before the word indicates the neural processing measured in this protocol may reflect a generalized speech intention process in which the speech-language systems become prepared to speak and then execute production once the word information is provided. Further analysis of the optimal protocol identified in this study requires additional experimental investigation to confirm its role in eliciting an objective marker of speech intention. Supplemental Material https://doi.org/10.23641/asha.14111468.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758324 | PMC |
http://dx.doi.org/10.1044/2020_JSLHR-20-00277 | DOI Listing |
Heliyon
December 2024
Department of Otorhinolaryngology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Background And Objectives: The immersive virtual reality (VR) simulator is advantageous because it is cost-effective, realistic, can be controlled directly by the user, and can be integrated into education and training in otorhinolaryngology. The present study explored the feasibility of incorporating VR pure-tone audiometry (PTA) into an audiologist training curriculum, and assessed audiology experts' willingness to use a VR PTA.
Materials And Methods: A total of 31 audiologists (16 skilled audiologists and 15 undergraduate students) participated in the study, using a developed VR PTA application with a Meta Quest 2 device.
Crit Care
December 2024
Department of Anaesthesiology and Intensive Care, University of Tartu, Tartu, Estonia.
Purpose: Gastrointestinal (GI) dysfunction is common in critically ill patients and associated with poor outcomes. There is a lack of standardised methods for daily monitoring of GI function. COSMOGI aimed to develop a Core Outcome Set (COS) for daily monitoring of GI function to improve consistency and comparability in future studies in critically ill patients.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
School of Information, University of Michigan, Ann Arbor, MI, United States.
Background: Toxicity on social media, encompassing behaviors such as harassment, bullying, hate speech, and the dissemination of misinformation, has become a pressing social concern in the digital age. Its prevalence intensifies during periods of social crises and unrest, eroding a sense of safety and community. Such toxic environments can adversely impact the mental well-being of those exposed and further deepen societal divisions and polarization.
View Article and Find Full Text PDFPeerJ Comput Sci
October 2024
Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.
Understanding spoken language is crucial for conversational agents, with intent detection and slot filling being the primary tasks in natural language understanding (NLU). Enhancing the NLU tasks can lead to an accurate and efficient virtual assistant thereby reducing the need for human intervention and expanding their applicability in other domains. Traditionally, these tasks have been addressed individually, but recent studies have highlighted their interconnection, suggesting better results when solved together.
View Article and Find Full Text PDFJ Speech Lang Hear Res
December 2024
Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN.
Purpose: The present study explored the extent to which early prelinguistic communication skills predict expressive language in toddlers with autistic siblings (Sibs-autism), who are known to be at high likelihood for autism and language disorder, and a comparison group of toddlers with non-autistic older siblings (Sibs-NA).
Method: Participants were 51 toddlers (29 Sibs-autism, 22 Sibs-NA) aged 12-18 months at the first time point in the study (Time 1). Toddlers were seen again 9 months later (Time 2).
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