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Non-human primates (NHPs) have become key for translational research in noninvasive brain stimulation (NIBS). However, in order to create comparable stimulation conditions for humans it is vital to study the accuracy of current modeling practices across species. Numerical models to simulate electric fields are an important tool for experimental planning in NHPs and translation to human studies. It is thus essential whether and to what extent the anatomical details of NHP models agree with current modeling practices when calculating NIBS electric fields. Here, we create highly accurate head models of two non-human primates (NHP) MR data. We evaluate how muscle tissue and head field of view (depending on MRI parameters) affect simulation results in transcranial electric and magnetic stimulation (TES and TMS). Our findings indicate that the inclusion of anisotropic muscle can affect TES electric field strength up to 22% while TMS is largely unaffected. Additionally, comparing a full head model to a cropped head model illustrates the impact of head field of view on electric fields for both TES and TMS. We find opposing effects between TES and TMS with an increase up to 24.8% for TES and a decrease up to 24.6% for TMS for the cropped head model compared to the full head model. Our results provide important insights into the level of anatomical detail needed for NHP head models and can inform future translational efforts for NIBS studies.
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http://dx.doi.org/10.1016/j.neuroimage.2023.120343 | DOI Listing |
Am J Audiol
September 2025
Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC.
Purpose: This exploratory study examined if hearing handicap in older adults affected listening-related fatigue during health care interactions and explored whether different face mask types worn during the coronavirus disease 2019 (COVID-19) pandemic influenced this association.
Method: A cross-sectional observational study among community-dwelling adults aged 60 years and older receiving care at an academic health care system outpatient audiology or otolaryngology clinics was conducted. Eligible participants completed and returned a mail-in self-reported packet including the Hearing Handicap Inventory for the Elderly (Screener Version; HHIE-S) and the 10-item Vanderbilt Fatigue Scale for Adults (VFS-A-10).
Int J Audiol
September 2025
Department of Otolaryngology-Head & Neck Surgery, University of California San Francisco, San Francisco, California, USA.
Objective: To develop and pilot test a combined-learning intervention for Tanzanian primary healthcare workers on ear and hearing care (EHC), comprising five self-led smartphone-based modules and in-person workshops.
Design: The intervention was piloted with primary healthcare workers in Tanzania. Pre- and post-training surveys assessed knowledge, confidence, and attitudes towards EHC via Likert scales.
ACS Infect Dis
September 2025
Animal-Derived Food Safety Innovation Team, College of Veterinary Medicine, Anhui Agricultural University, Hefei 230036, China.
The emergence of multidrug-resistant (MDR) poses a significant threat to global public health, necessitating alternative therapeutic strategies. In this study, we isolated and characterized a novel lytic bacteriophage (phage), vB_EcoM_51, from poultry farm sewage and evaluated its potential against MDR . Transmission electron microscopy revealed that the phage exhibits morphological features typical of the family, including a polyhedral head (∼66.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.
Background: Head and neck cancer (HNC) is a significant global health concern with rising incidence and mortality in certain regions. This study aimed to evaluate the global burden and temporal trends of HNC from 1990 to 2021 and to project its future burden through 2030.
Methods: Data were obtained from the Global Burden of Disease (GBD) 2021 study.
J Vis Exp
August 2025
Professor & Head, Department of Artificial Intelligence and Machine Learning, K S Institute of Technology.
Knee osteoarthritis (KOA) affects millions of individuals worldwide and has no known curative treatment, making it a serious global health concern. The management of its development depends on early discovery, and X-ray imaging is a fundamental diagnostic technique. However, due to variations in radiologists' levels of experience, manual X-ray interpretation increases variability and possible inaccuracies.
View Article and Find Full Text PDF