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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis.
Neuroimage
January 2025
College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China; Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. Electronic address:
Dynamic brain networks (DBNs) can capture the intricate connections and temporal evolution among brain regions, becoming increasingly crucial in the diagnosis of neurological disorders. However, most existing researches tend to focus on isolated brain network sequence segmented by sliding windows, and they are difficult to effectively uncover the higher-order spatio-temporal topological pattern in DBNs. Meantime, it remains a challenge to utilize the structure connectivity prior in the DBNs analysis.
View Article and Find Full Text PDFMeasurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion.
Med Image Anal
January 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200040, China; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200040, China; Department of Radiology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address:
The anisotropic mechanical properties of fiber-embedded biological tissues are essential for understanding their development, aging, disease progression, and response to therapy. However, accurate and fast assessment of mechanical anisotropy in vivo using elastography remains challenging. To address the dilemma of achieving both accuracy and efficiency in this inverse problem involving complex wave equations, we propose a computational framework that utilizes the traveling wave expansion model.
View Article and Find Full Text PDFAssociation and mechanism of montelukast on sleep disorders: insights from NHANES 2005-2018 data analysis and a network pharmacology study.
J Asthma
January 2025
School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.
Background: Studies have suggested associations between montelukast and increased risks of sleep disorders, including overall sleeping problems and insomnia. However, the results of observational studies are not consistent. Understanding these associations is crucial, particularly in patients solely diagnosed with allergic rhinitis, where montelukast use remains prevalent.
View Article and Find Full Text PDFSleep and breathing in children with Joubert syndrome and a review of other rare congenital hindbrain malformations.
Ther Adv Respir Dis
January 2025
Division of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, 4800 Sand Point Way NE, OC 7.730, Seattle, WA 98105, USA.
Background: Joubert syndrome (JS) is an autosomal recessive disorder with a distinctive mid-hindbrain malformation known as the "molar tooth sign" which involves the breathing control center and its connections with other structures. Literature has reported significant respiratory abnormalities which included hyperpnea interspersed with apneic episodes during wakefulness. Larger-scale studies looking at polysomnographic findings or subjective reports of sleep problems in this population have not yet been published.
View Article and Find Full Text PDFDevelopment and Evaluation of an Automated Multimodal Mobile Detection of Oral Cancer (mDOC) Imaging System to Aid in Risk-based Management of Oral Mucosal Lesions.
Cancer Prev Res (Phila)
January 2025
Rice University, Houston, Texas, United States.
Oral cancer is a major global health problem. It is commonly diagnosed at an advanced stage although often preceded by clinically visible oral mucosal lesions, termed oral potentially malignant disorders associated with an increased risk for oral cancer development. There is an unmet clinical need for effective screening tools to assist front-line healthcare providers to determine which patients should be referred to an oral cancer specialist for evaluation.
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