Aim: This study was designed to investigate how the asymmetry of the brain stem is related to hand function and manual ability after arterial ischemic stroke (AIS) diagnosed during childhood.
Method: Patients diagnosed with AIS during childhood (> 5 years old, diagnosis > 2 years before recruitment) and typically developing peers were recruited by the Swiss Neuropediatric Stroke Registry. Brainstem cross-sectional areas of each side at the level of the pons were measured. Pinch and grip strength were measured with a dynamometer, quality of upper limb movement by the Melbourne Assessment 2 and manual ability by the ABILHAND-kids. An asymmetry index was calculated for all measures (except the ABILHAND-kids). Differences between groups and correlations were calculated using nonparametric statistics.
Results: Fourteen AIS survivors without hemiparesis, 10 AIS survivors with hemiparesis, and 47 typically developing peers were assessed. Patients with hemiparesis showed the highest brainstem asymmetry. There was a significant positive correlation between brainstem asymmetry, the asymmetry of strength and quality of upper limb movement, and a significant negative correlation between brainstem asymmetry and manual ability.
Interpretation: In pediatric AIS survivors, brainstem asymmetry can serve as an indirect measure of corticospinal tract integrity. It is significantly correlated with strength, quality of movement, and manual ability.
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http://dx.doi.org/10.1055/s-0039-1678610 | DOI Listing |
J Imaging Inform Med
January 2025
Faculty of Medicine and Pharmacy of Rabat, Mohammed V University of Rabat, Rabat, 10000, Morocco.
Gastrointestinal (GI) disease examination presents significant challenges to doctors due to the intricate structure of the human digestive system. Colonoscopy and wireless capsule endoscopy are the most commonly used tools for GI examination. However, the large amount of data generated by these technologies requires the expertise and intervention of doctors for disease identification, making manual analysis a very time-consuming task.
View Article and Find Full Text PDFClin Biomech (Bristol)
January 2025
Department for Health, University of Bath, Bath, UK; Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), University of Bath, Bath, UK.
Background: Knee loading is associated with the severity and progression of knee osteoarthritis, while knee pain contributes to reduced functional ability and quality of life. In this systematic review, we quantified knee loading and knee pain during different daily activities in people with knee osteoarthritis and explored methodological reasons for differences between studies.
Methods: PubMed, Web of Science, Scopus, and manual searches were performed up to July 2024, to retrieve studies measuring knee loading and knee pain in walking, sit-to-stand and stair climbing of people with knee osteoarthritis.
PLoS One
January 2025
College of Engineering, South China Agricultural University, Guangzhou, China.
In order to address many issues, such as the inconsistent and unreliable seeding process in traditional mechanical garlic seed metering systems (SMS), as well as the lack of ability to monitor the effectiveness of the seeding, a highly accurate electric-driven metering system (EDMS) was developed and created specifically for garlic seed planters. This study provided a description of the overall structure and functioning principle, as well as an analysis of the mechanism for smooth transit and delivery. A combination of an infrared (IR) sensor, Arduino Mega board, stepper motor, speed sensor, and a Wi-Fi module was employed to operate the EDMS, as well as monitor and count the quantity of garlic seeds during the planting process and determine the qualified rate (QR) and missing rate (MR).
View Article and Find Full Text PDFTissue Eng Regen Med
January 2025
Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Sao Paulo, 13083-100, Brazil.
Background: The main challenge in new drug development is accurately predicting the human response in preclinical models.
Methods: In this study, we developed three different intestinal barrier models using advanced biofabrication techniques: (i) a manual model containing Caco-2 and HT-29 cells on a collagen bed, (ii) a manual model with a Caco-2/HT-29 layer on a HDFn-laden collagen layer, and (iii) a 3D bioprinted model incorporating both cellular layers. Each model was rigorously tested for its ability to simulate a functional intestinal membrane.
Nat Commun
January 2025
Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, China.
Mitochondrial morphology and function are intrinsically linked, indicating the opportunity to predict functions by analyzing morphological features in live-cell imaging. Herein, we introduce MoDL, a deep learning algorithm for mitochondrial image segmentation and function prediction. Trained on a dataset of 20,000 manually labeled mitochondria from super-resolution (SR) images, MoDL achieves superior segmentation accuracy, enabling comprehensive morphological analysis.
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