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Prospective Voice Assessment After Thyroidectomy Without Recurrent Laryngeal Nerve Injury.
Diagnostics (Basel)
December 2024
Department of ENT and Head and Neck Surgery, University Hospital Center Zagreb, 10000 Zagreb, Croatia.
: Thyroidectomy, a surgical procedure for thyroid disorders, is associated with postoperative voice changes, even in cases without recurrent laryngeal nerve (RLN) injury. Our study evaluates the prevalence and predictors of voice disorders in thyroidectomy patients without RLN injury. : Our single-center prospective study at the University Hospital Center Zagreb included 243 patients, with pre- and postoperative voice evaluations using acoustic analysis and videostroboscopy.
View Article and Find Full Text PDFTemporally dissociable neural representations of pitch height and chroma.
J Neurosci
January 2025
Department of Psychology, Chinese University of Hong Kong, Hong Kong SAR, China
The extraction and analysis of pitch underpin speech and music recognition, sound segregation, and other auditory tasks. Perceptually, pitch can be represented as a helix composed of two factors: height monotonically aligns with frequency, while chroma cyclically repeats at doubled frequencies. Although the early perceptual and neurophysiological mechanisms for extracting pitch from acoustic signals have been extensively investigated, the equally essential subsequent stages that bridge to high-level auditory cognition remain less well understood.
View Article and Find Full Text PDFPrognostic factors for first recurrence following meningioma surgery.
Med Int (Lond)
December 2024
Department of Neurosurgery, School of Medicine, University of Ioannina, 45500 Ioannina, Greece.
The present study investigated the role of the Simpson grade system, MIB-1 immunohistochemical marker, meningioma location and grade in the risk of recurrence. Between January, 2008 and January, 2018, the present study retrospectively evaluated all patients undergoing craniotomy for the resection of a histopathologically confirmed meningioma. Patients with neurofibromatosis, acoustic neurinomas and radiation treatment prior to surgery were excluded.
View Article and Find Full Text PDFThe rapid growth, invasiveness, and resistance to treatment of glioblastoma multiforme (GBM) underscore the urgent need for improved diagnostics and therapies. Current surgical practice is limited by challenges with intraoperative imaging, while recurrence monitoring requires expensive magnetic resonance or nuclear imaging scans. Here we introduce 'acoustic tumor paint', an approach to labeling brain tumors for ultrasound imaging, a widely accessible imaging modality.
View Article and Find Full Text PDFA robust Parkinson's disease detection model based on time-varying synaptic efficacy function in spiking neural network.
BMC Neurol
December 2024
Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA.
Parkinson's disease (PD) is a neurodegenerative disease affecting millions of people around the world. Conventional PD detection algorithms are generally based on first and second-generation artificial neural network (ANN) models which consume high energy and have complex architecture. Considering these limitations, a time-varying synaptic efficacy function based leaky-integrate and fire neuron model, called SEFRON is used for the detection of PD.
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