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Decoding Epilepsy: Prickle2 and Multifaceted Molecular Pathway Connections.
Curr Pharm Des
January 2025
Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, China Three Gorges University, Yichang, Hubei, China.
Background: The Prickle2 (Pk2) gene shows promising potential in uncovering the underlying causes of epilepsy, a neurological disorder that is currently not well understood. This paper utilizes the online tool PubMed to gather and condense information on the involvement of PCP channels and the associated roles of PCP pathway molecules in the onset of epilepsy. These findings are significant for advancing epilepsy treatment.
View Article and Find Full Text PDFMapping the knowledge landscape of the PET/MR domain: a multidimensional bibliometric analysis.
Eur J Nucl Med Mol Imaging
January 2025
Huashan Hospital and Human Phenome Institute, Fudan University, 220 Handan Road, Shanghai, 200433, China.
Objective: This study aims to conduct a bibliometric analysis to explore research trends, collaboration patterns, and emerging themes in the PET/MR field based on published literature from 2010 to 2024.
Methods: A detailed literature search was performed using the Web of Science Core Collection (WoSCC) database with keywords related to PET/MR. A total of 4,349 publications were retrieved and analyzed using various bibliometric tools, including VOSviewer and CiteSpace.
Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer.
BMC Neurol
January 2025
Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, School of Medicine, College of Medicine, National Sun Yat-Sen University, No. 123 Ta-Pei Road, Niao-Sung Dist, Kaohsiung, 83305, Taiwan.
Background And Purpose: White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a 3D convolutional neural network and a 3D Transformer-based model for white matter hyperintensities segmentation, focusing on their efficacy with limited datasets and similar computational resources.
Materials And Methods: We implemented a convolution-based model (3D ResNet-50 U-Net with spatial and channel squeeze & excitation) and a Transformer-based model (3D Swin Transformer with a convolutional stem).
Prevalence of Hand Arm Vibration Syndrome in mine workers of Khewra salt mines.
J Hand Ther
January 2025
Neuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia; King Salman Center for Disability Research, Riyadh, Saudi Arabia.
Background: Hand-arm Vibration Syndrome (HAVS) is a disorder caused by prolonged exposure to hand-held vibrating instruments, commonly observed in industrial contexts such as mining, construction, and manufacturing. It involves symptoms affecting the musculoskeletal, neurological, and vascular systems of the arm and hand.
Purpose: The main aim of this study is to determine the prevalence of HAVS among laborers working in the Khewra salt mines.
Characterizing features affecting local ancestry inference performance in admixed populations.
Am J Hum Genet
December 2024
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; The Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA. Electronic address:
In recent years, significant efforts have been made to improve methods for genomic studies of admixed populations using local ancestry inference (LAI). Accurate LAI is crucial to ensure that downstream analyses accurately reflect the genetic ancestry of research participants. Here, we test analytic strategies for LAI to provide guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primary continental ancestries-African (AFR), Amerindigenous (AMR), and European (EUR).
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