Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1179/146701011X13001036693539 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Background: Alzheimer's disease (AD) is a neurological disorder marked by progressive cognitive decline, memory deficits, and neuronal cell loss (Knopman, 2021). A brain region significantly impacted by the progression of AD is the subiculum, a structure responsible for spatial navigation, cognitive processes, and the modulation of emotional and affective behaviors within the hippocampus (Fanselow and Dong, 2010). Although subiculum cell loss has been well-established as an early indicator of AD (Carlesimo et al.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
University of California, San Francisco, San Francisco, CA, USA.
Background: Autosomal dominant progranulin (GRN) mutations are a common genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN-related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression. We previously showed that presymptomatic GRN carriers exhibit thalamocortical hyperconnectivity that increases with age when they are presumably closer to symptom onset.
View Article and Find Full Text PDFA H2S-activated NIR-II imaging probe for precise diagnosis and pathological evaluation of colorectal tumor.
Theranostics
January 2025
Lab of Molecular Imaging and Translational Medicine (MITM), Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, Xi'an, Shaanxi, 710126, P. R. China.
The quick and accurate detection of colorectal cancer (CRC) is essential for improving the treatment efficacy and patient survival, which nevertheless remains challenging due to low specificity and sensitivity of current CRC diagnostic approaches. Therefore, providing a robust solution for real-time and accurate tumor delineation is highly desirable. We report a novel polyacrylic acid-mediated strategy to develop the endogenous hydrogen sulfide (HS)-activated NIR-II probe DCNP@PB for specific visualization of CRC and image-guided tumor surgery.
View Article and Find Full Text PDFHigh-Throughput Computer Screen Aids Discovery of Methotrexate as miR-20b Inhibitor to Suppress Nonsmall Cell Lung Cancer Progression.
ACS Chem Biol
December 2024
Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
MicroRNAs (miRNAs) play a significant role in tumor progression, and regulating miRNA expression with small molecules may offer a new approach to cancer therapy. Among them, miRNA-20b has been found to be dysregulated in several cancers, including nonsmall cell lung cancer (NSCLC). Herein, an in silico high-throughput computer screen was conducted to identify small molecules that downregulate miR-20b using the three-dimensional structure of the Dicer binding site on pre-miR-20b.
View Article and Find Full Text PDFBrain networks and intelligence: A graph neural network based approach to resting state fMRI data.
Med Image Anal
December 2024
Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science (TreNDS), USA; Department of Computer Science, Georgia State University, Atlanta, USA.
Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying on a specific task or stimuli. In this paper, we present a novel modeling architecture called BrainRGIN for predicting intelligence (fluid, crystallized and total intelligence) using graph neural networks on rsfMRI derived static functional network connectivity matrices. Extending from the existing graph convolution networks, our approach incorporates a clustering-based embedding and graph isomorphism network in the graph convolutional layer to reflect the nature of the brain sub-network organization and efficient network expression, in combination with TopK pooling and attention-based readout functions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!