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Exploring Brain Imaging and Genetic Risk Factors in Different Progression States of Alzheimer's Disease Through OSnetNMF-Based Methods.
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Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Alzheimer's disease (AD) is a neurodegenerative disease with no effective treatment, often preceded by mild cognitive impairment (MCI). Multimodal imaging genetics integrates imaging and genetic data to gain a deeper understanding of disease progression and individual variations. This study focuses on exploring the mechanisms that drive the transition from normal cognition to MCI and ultimately to AD.
View Article and Find Full Text PDFOestrogen and progesterone fluctuate cyclically in women throughout their adult lives. Although these hormones cross the blood-retinal barrier and bind to intraocular receptors, their effects remain unclear. We present the first review to date on associations between posterior pole structures-specifically the macula, choroid, and optic disc-and both the menstrual cycle and post-menopausal period, utilising multimodal imaging techniques in healthy adult non-pregnant women.
View Article and Find Full Text PDFSyntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions.
Nat Commun
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Institute of Physiology and Pathophysiology, Medical Faculty, Heidelberg University, Heidelberg, Germany.
Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. Tailored solutions are mostly restricted to individual experimental setups and lack flexibility and interoperability. We present an open-source, Linux-based integrated software solution, called 'Syntalos', for simultaneous acquisition and synchronization of data from an arbitrary number of sources, including multi-channel electrophysiological recordings and different live imaging devices, as well as closed-loop, real-time interventions with different actuators.
View Article and Find Full Text PDFArrested Embryonic Development of the Mitral Valve: A Rare Case of Congenital Mitral Stenosis Unveiled Through Multimodal Imaging.
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Department of Cardiovascular Medicine, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka 810-8563, Japan. Electronic address:
GMmorph: dynamic spatial matching registration model for 3D medical image based on gated Mamba.
Phys Med Biol
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School of Software Engineering, Xi'an Jiaotong University, Xi 'an Jiaotong University Innovation Port, Xi 'an, Shaanxi Province, Xi'an, Shaanxi, 710049, CHINA.
Deformable registration aims to achieve nonlinear alignment of image space by estimating a dense displacement field. It is commonly used as a preprocessing step in clinical and image analysis applications, such as surgical planning, diagnostic assistance, and surgical navigation. We aim to overcome these challenges: Deep learning-based registration methods often struggle with complex displacements and lack effective interaction between global and local feature information.
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