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ds-FCRN: three-dimensional dual-stream fully convolutional residual networks and transformer-based global-local feature learning for brain age prediction.
Brain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFChinese Registry of Rheumatoid Arthritis (CREDIT) VI: Temporal Trends in Patients With Early Rheumatoid Arthritis and Moderate-To-Severe Disease Activity - A Multicenter Cohort Study of Treatment Strategies and Outcomes.
Int J Rheum Dis
January 2025
Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College; National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science and Technology; State Key Laboratory of Complex Severe and Rare Diseases; Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Aim: The continuous update of international guidelines and enhanced availability of biological disease-modifying antirheumatic drugs (bDMARDs) and targeted synthetic DMARDs (tsDMARDs) have made a significant impact on the diagnosis and treatment of early rheumatoid arthritis (ERA). This study aims to systematically evaluate the current treatment strategies and outcomes within a large-scale cohort of patients with ERA.
Methods: Data from the Chinese Registry of Rheumatoid Arthritis (CREDIT), a large multicenter Chinese registry of RA, were collected to analyze temporal trends in clinical profiles, therapeutic strategies, and treatment outcomes among patients with ERA.
ENHANCED RESTORATION OF VISUAL CODE AFTER TARGETING ON BIPOLAR CELLS COMPARED TO RETINAL GANGLION CELLS WITH OPTOGENETIC THERAPY.
Mol Ther
January 2025
Faculty of Biology, Medicine & Health, University of Manchester, Manchester, M13 9PT, UK. Electronic address:
Optogenetic therapy is a promising vision restoration method where light sensitive opsins are introduced to the surviving inner retina following photoreceptor degeneration. The cell type targeted for opsin expression will likely influence the quality of restored vision. However, a like-for-like pre-clinical comparison of visual responses evoked following equivalent opsin expression in the two major targets, ON bipolar (ON BCs) or retinal ganglion cells (RGCs), is absent.
View Article and Find Full Text PDFThe role of circadian rhythm regulator PERs in oxidative stress, immunity, and cancer development.
Cell Commun Signal
January 2025
College of Life Science, Yangtze University, Jingzhou, 434025, China.
The complex interaction between circadian rhythms and physiological functions is essential for maintaining human health. At the heart of this interaction lies the PERIOD proteins (PERs), pivotal to the circadian clock, influencing the timing of physiological and behavioral processes and impacting oxidative stress, immune functionality, and tumorigenesis. PER1 orchestrates the cooperation of the enzyme GPX1, modulating mitochondrial dynamics in sync with daily rhythms and oxidative stress, thus regulating the mechanisms managing energy substrates.
View Article and Find Full Text PDFIncremental accumulation of linguistic context in artificial and biological neural networks.
Nat Commun
January 2025
The Faculty of Data and Decisions Sciences, Technion - Israel Institute of Technology, Haifa, Israel.
Large Language Models (LLMs) have shown success in predicting neural signals associated with narrative processing, but their approach to integrating context over large timescales differs fundamentally from that of the human brain. In this study, we show how the brain, unlike LLMs that process large text windows in parallel, integrates short-term and long-term contextual information through an incremental mechanism. Using fMRI data from 219 participants listening to spoken narratives, we first demonstrate that LLMs predict brain activity effectively only when using short contextual windows of up to a few dozen words.
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