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Background: The main swallowing activities in the oral phase include chewing and tongue movements. Cortical control is essential for the initiation and coordination of swallowing activities in the oral phase.
Research Purposes: This study aims to further investigate whether there are differences neural mechanisms in cortical interactions underlying oral phase by simulating chewing and tongue movement.
Methods: This study recruited 25 healthy adult participants, by functional magnetic resonance imaging to collect data in the Empty chewing task and Tongue-to-Palate posterior Retraction task. The Dynamic causal modelling and Parametric Empirical Bayes were used to analyze the best model and the effective connectivity between brain regions under different tasks.
Results: In the Empty Chewing task, the primary motor cortex(M1) is the main driving input brain area with significant excitatory connectivity with the primary somatosensory cortex(S1) and supplementary motor area(SMA). However, in the Tongue-to-Palate posterior Retraction task, S1 becomes the main driving input brain area and maintains bidirectional connections with M1 and SMA, but S1 shows an inhibitory effect on SMA.
Conclusion: This study reveals the differences in the interaction among brain regions during the oral swallowing activity. Results suggest M1 and SMA interaction is vital for the whole oral phase. M1 is a key brain region for Empty chewing task, while S1 is important for sensory feedback. S1 may inhibit SMA during the Tongue-to-Palate posterior Retraction task to aid swallowing and reduce interference with the pharyngeal swallowing action.
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http://dx.doi.org/10.1016/j.brainresbull.2025.111399 | DOI Listing |
JAMA Psychiatry
September 2025
Denovo Biopharma LLC, San Diego, California.
Importance: This study represents a first successful use of a genetic biomarker to select potential responders in a prospective study in psychiatry. Liafensine, a triple reuptake inhibitor, may become a new precision medicine for treatment-resistant depression (TRD), a major unmet medical need.
Objective: To determine whether ANK3-positive patients with TRD benefit from a 1-mg and/or 2-mg daily oral dose of liafensine, compared with placebo, in a clinical trial.
Cancer Causes Control
September 2025
College of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.
View Article and Find Full Text PDFSupport Care Cancer
September 2025
Department of Oral Pathology, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Purpose: To compare the efficacy of intraoral (IOPBM) and extraoral photobiomodulation (EOPBM) protocols for the prevention and treatment of oral mucositis (OM) in patients with oral or oropharyngeal squamous cell carcinoma (SCC) to submitted radiotherapy (RT).
Methods: This randomized, blinded, multicenter clinical trial enrolled 58 patients with oral or oropharyngeal SCC, who were allocated into two groups matched by treatment type, clinical stage, and RT modality. Group I (IOPBM) received intraoral photobiomodulation (PBM) with a continuous InGaAlP diode laser (660 nm, 100 mW, 0.
Background And Aims: Dental caries in children remains a global health challenge. Fissure sealant therapy (FST) is an effective preventive measure, yet parental acceptance remains low. This study aimed to identify predictors of parental FST behavior for children aged 6-12 years in Bandar Abbas, Iran, using the health belief model (HBM).
View Article and Find Full Text PDFJ Oral Biol Craniofac Res
August 2025
Neura Integrasi Solusi, Jl. Kebun Raya No. 73, Rejowinangun, Kotagede, Yogyakarta, 55171, Indonesia.
Background: Periodontal disease is an inflammatory condition causing chronic damage to the tooth-supporting connective tissues, leading to tooth loss in adults. Diagnosing periodontitis requires clinical and radiographic examinations, with panoramic radiographs crucial in identifying and assessing its severity and staging. Convolutional Neural Networks (CNNs), a deep learning method for visual data analysis, and Dense Convolutional Networks (DenseNet), which utilize direct feed-forward connections between layers, enable high-performance computer vision tasks with reduced computational demands.
View Article and Find Full Text PDF