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With age, the speech system undergoes important changes that render speech production more laborious, slower and often less intelligible. And yet, the neural mechanisms that underlie these age-related changes remain unclear. In this EEG study, we examined two important mechanisms in speech motor control: pre-speech movement-related cortical potential (MRCP), which reflects speech motor planning, and speaking-induced suppression (SIS), which indexes auditory predictions of speech motor commands, in 20 healthy young and 20 healthy older adults. Participants undertook a vowel production task which was followed by passive listening of their own recorded vowels. Our results revealed extensive differences in MRCP in older compared to younger adults. Further, while longer latencies were observed in older adults on N1 and P2, in contrast, the SIS was preserved. The observed reduced MRCP appears as a potential explanatory mechanism for the known age-related slowing of speech production, while preserved SIS suggests intact motor-to-auditory integration.
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http://dx.doi.org/10.1016/j.bandl.2024.105415 | DOI Listing |
Front Artif Intell
August 2025
School of Computation and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
Computer vision has been identified as one of the solutions to bridge communication barriers between speech-impaired populations and those without impairment as most people are unaware of the sign language used by speech-impaired individuals. Numerous studies have been conducted to address this challenge. However, recognizing word signs, which are usually dynamic and involve more than one frame per sign, remains a challenge.
View Article and Find Full Text PDFFront Cardiovasc Med
August 2025
Department of Neurology, Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China.
Essential thrombocythemia (ET) is a myeloproliferative neoplasm (MPN) characterized by abnormal megakaryocyte proliferation and a markedly elevated platelet count, which predisposes patients to thrombotic or hemorrhagic events. Approximately 50%-60% of ET patients harbor a JAK2 V617F mutation. This mutation drives constitutive JAK kinase activation, promoting megakaryocyte proliferation and platelet production, while potentially activating inflammatory pathways and damaging vascular endothelium.
View Article and Find Full Text PDFBiomed Phys Eng Express
September 2025
electrical engineering department, Indian Institute of Technology Roorkee, Research wing, electrical department, Roorkee, uttrakhand, 247664, INDIA.
Imagined speech classification involves decoding brain signals to recognize verbalized thoughts or intentions without actual speech production. This technology has significant implications for individuals with speech impairments, offering a means to communicate through neural signals. The prime objective of this work is to propose an innovative machine learning (ML) based classification methodology that combines electroencephalogram (EEG) data augmentation using a sliding window technique with statistical feature extraction from the amplitude and phase spectrum of frequency domain EEG segments.
View Article and Find Full Text PDFActa Psychol (Amst)
September 2025
Department of Psychology, Humboldt-Universität zu Berlin, Germany; Berlin School of Mind and Brain, Germany. Electronic address:
During language production we translate thoughts into articulated speech. While we know much about how different aspects of our thoughts are co-activated during lexical-semantic processing, the range of meaning dimensions that influence which words we choose to express our thoughts and experiences remains largely unknown. Here, we investigated whether (re)activations of bodily experiences have an impact on language production.
View Article and Find Full Text PDFJ Speech Lang Hear Res
September 2025
University of the Witwatersrand, Johannesburg, South Africa.
Background: The integration of digital health care technologies into speech-language pathology and audiology is rapidly transforming service delivery. In South Africa and other low- and middle-income countries (LMICs), digital tools offer significant opportunities to address access challenges and enhance patient outcomes. However, the adoption of these technologies requires careful consideration of contextual factors.
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