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A significant number of individuals with tuberous sclerosis complex (TSC) exhibit language difficulties. Here, we examined the language-related brain morphometry in 59 participants (7 participants with TSC and comorbid autism spectrum disorder (ASD) (TSC + ASD), 13 with TSC but no ASD (TSC-ASD), 10 with ASD-only (ASD), and 29 typically developing (TD) controls). A hemispheric asymmetry was noted in surface area and gray matter volume of several cortical language areas in TD, ASD, and TSC-ASD groups, but not in TSC + ASD group. TSC + ASD group demonstrated increased cortical thickness and curvature values in multiple language regions for both hemispheres, compared to other groups. After controlling for tuber load in the TSC groups, within-group differences stayed the same but the differences between TSC-ASD and TSC + ASD were no longer statistically significant. These preliminary findings suggest that comorbid ASD in TSC as well as tuber load in TSC is associated with changes in the morphometry of language regions. Future studies with larger sample sizes will be needed to confirm these findings.
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http://dx.doi.org/10.1007/s10803-023-06004-8 | DOI Listing |
JCO Glob Oncol
May 2025
Department of Obstetrics and Gynaecology, Stanford University School of Medicine, Stanford, CA.
Purpose: Expanding high-risk human papillomavirus (HPV) vaccine coverage in resource-constrained settings is critical to bridging the cervical cancer gap and achieving the global action plan for elimination. Mobile health (mHealth) technology via short message services (SMS) has the potential to improve HPV vaccination uptake. The mHealth-HPVac study evaluated the effectiveness of mHealth interventions in increasing HPV vaccine uptake among mothers of unvaccinated girls aged 9-14 years in Lagos, Nigeria.
View Article and Find Full Text PDFAm J Audiol
September 2025
Department of Special Education and Communication Disorders, University of Nebraska-Lincoln.
Purpose: This study investigated the effects of age-related hearing decline on functional networks using resting-state functional magnetic resonance imaging (rs-fMRI). The main objective of the present study was to examine resting-state functional connectivity (RSFC) and graph theory-based network efficiency metrics in 49 adults categorized by age and hearing thresholds to identify the neural mechanisms of age-related hearing decline.
Method: Forty-nine adults with self-reported normal hearing underwent pure-tone audiometry and rs-fMRI.
Cereb Cortex
August 2025
Faculty of Psychology and Education Science, Department of Psychology, University of Geneva, Chemin des Mines 9, Geneva, 1202, Switzerland.
Language learning and use relies on domain-specific, domain-general cognitive and sensory-motor functions. Using fMRI during story listening and behavioral tests, we investigated brain-behavior associations between linguistic and non-linguistic measures in individuals with varied multilingual experience and reading skills, including typical reading participants (TRs) and dyslexic readers (DRs). Partial Least Square Correlation revealed a main component linking cognitive, linguistic, and phonological measures to amodal/associative brain areas.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Importance: Exposure to inflammation from chorioamnionitis places the fetus at higher risk of premature birth and may increase the risk of neurodevelopmental impairments, though the evidence for the latter is mixed.
Objective: To evaluate whether moderate to severe histologic chorioamnionitis (HCA) is directly associated with adverse motor performance, independent of the indirect mediating effects of premature birth.
Design, Setting, And Participants: This prospective, population-based cohort study recruited participants between September 16, 2016, and November 19, 2019, from referral and nonreferral neonatal intensive care units of 5 southwestern Ohio hospitals.
Acta Neurochir (Wien)
September 2025
Department of Neurosurgery, Istinye University, Istanbul, Turkey.
Background: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasize that the level of knowledge and response consistency of the LLMs are generally acceptable; however, further optimization is needed in areas such as case discussion, interpretation, and language proficiency. Therefore, this study aimed to evaluate the performance of six distinct LLMs for Turkish and English neurosurgery multiple-choice questions and assess their accuracy and consistency in a specialized medical context.
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