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Introduction: Invasive recording of neural activity provides valuable insights into Parkinson's disease (PD). Bidirectional sensing devices enable wireless neural data collection during everyday activities, but neural signals during complex outdoor sports remain unexplored.
Methods: We recorded neural data from a 57-year-old PD patient using bilateral implanted pulse generators connected to subthalamic nucleus (STN) and motor cortex leads. Recordings were performed in two settings: in-clinic during a computer-controlled task and outdoors during downhill skiing. Neural data were analyzed for power spectral density (PSD) and coherence across different frequencies.
Results: In-clinic recordings demonstrated movement-related cortical and STN beta desynchronization with cortical gamma increase. Skiing similarly induced STN beta desynchronization but also elicited low-gamma activity (30-60 Hz) and unique finely-tuned gamma (FTG) activity at 85 Hz in the off-medication state, predominantly in the less affected hemisphere. Tremor-related cortical beta suppression was observed during stopping, with prominent 10 Hz activity associated with resting tremor.
Conclusion: Real-time multisite neural recordings during a complex outdoor activity revealed distinct neural signatures compared to in-clinic tasks. The findings suggest that self-cued, learned motor tasks elicit unique frequency bands and highlight differences based on disease asymmetry and medication state.
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http://dx.doi.org/10.3389/fnins.2025.1564058 | DOI Listing |
Cereb Cortex
August 2025
Brain and Cognition, KU Leuven, Tiensestraat 102, 3000 Leuven, Belgium.
Centro-parietal electroencephalogram signals (centro-parietal positivity and error positivity) correlate with the reported level of confidence. According to recent computational work these signals reflect evidence which feeds into the computation of confidence, not directly confidence. To test this prediction, we causally manipulated prior beliefs to selectively affect confidence, while leaving objective task performance unaffected.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
Division of Plastic and Reconstructive Surgery, Neonatal and Pediatric Craniofacial Airway Orthodontics, Department of Surgery, Stanford University School of Medicine, 770 Welch Road, Palo Alto, CA, 94394, USA.
Background: Alveolar molding plate treatment (AMPT) plays a critical role in preparing neonates with cleft lip and palate (CLP) for the first reconstruction surgery (cleft lip repair). However, determining the number of adjustments to AMPT in near-normalizing cleft deformity prior to surgery is a challenging task, often affecting the treatment duration. This study explores the use of machine learning in predicting treatment duration based on three-dimensional (3D) assessments of the pre-treatment maxillary cleft deformity as part of individualized treatment planning.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
September 2025
Department of Pharmacy, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, #18 Daoshan Road, Fuzhou, Fujian, 350001, China.
Postpartum hemorrhage (PPH) is a life-threatening obstetric complication. We aimed to identify the drugs that associated with PPH based on the FDA Adverse Event Reporting System (FAERS) data, providing scientific evidence for targeted prevention of drug-related PPH risk factors. Data from 2004Q1 to 2025Q1 were extracted from FAERS, and disproportionality analysis was performed to identify potential drug signals.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
School of Software, Shandong University, Jinan 250101, Shandong, China.
Spatial transcriptomics (ST) reveals gene expression distributions within tissues. Yet, predicting spatial gene expression from histological images still faces the challenges of limited ST data that lack prior knowledge, and insufficient capturing of inter-slice heterogeneity and intra-slice complexity. To tackle these challenges, we introduce FmH2ST, a foundation model-based method for spatial gene expression prediction.
View Article and Find Full Text PDFAndrology
September 2025
Department of Urology, The Second Affiliated Hospital of Shanxi Medical University, Taiyuan, China.
Background: Drug-induced hypogonadism is an underrecognized but significant adverse effect of various medications, contributing to male sexual dysfunction and infertility. Despite its clinical significance, comprehensive studies systematically identifying high-risk drugs remain limited.
Objectives: This study aimed to investigate the potential drugs associated with hypogonadism from FDA Adverse Event Reporting System.