Results 21 to 30 of about 1,348,714 (289)
The additional diagnostic value of motor nerve excitability testing in chronic axonal neuropathy
Objective: To explore potential differences in motor nerve excitability testing (NET) variables at group levels between patients with a clinical diagnosis of polyneuropathy (PNP), which did not fulfil diagnostic criteria of conventional nerve conduction ...
Thomas Krøigård +4 more
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Functional magnetic resonance imaging (fMRI) allowed the spatial characterization of the resting-state verbal language network (vLN). While other resting-state networks (RSNs) were matched with their electrophysiological equivalents at rest and could be ...
Tim Coolen +15 more
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Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net
PurposeTrigeminal neuralgia (TN) poses significant challenges in its diagnosis and treatment due to its extreme pain. Magnetic resonance imaging (MRI) plays a crucial role in diagnosing TN and understanding its pathogenesis.
Chuan Zhang +11 more
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A Corneal Nerve Segmentation Algorithm Based on Improved ResU-Net [PDF]
The automatic segmentation of corneal nerve images is crucial to the diagnosis and screening of several diseases such as diabetic neuropathy,but it suffers from the low segmentation efficiency caused by the low contrast of corneal nerve images and the ...
HAO Huaying, ZHAO Kun, SU Pan, ZHANG Hui, ZHAO Yitian, LIU Jiang
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Peripheral nerve tension is known to be related to the pathophysiology of neuropathy; however, assessing this tension is difficult in a clinical setting.
Kengo Kawanishi +5 more
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Of Circuits and Brains: The Origin and Diversification of Neural Architectures
Nervous systems are complex cellular structures that allow animals to interact with their environment, which includes both the external and the internal milieu.
Pedro Martinez +2 more
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Background It is difficult to create intuitive methods of controlling prosthetic limbs, often resulting in abandonment. Peripheral nerve interfaces can be used to convert motor intent into commands to a prosthesis. The Extraneural Spatiotemporal Compound
Taseen Jawad +2 more
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Genetic Algorithm-based Convolutional Neural Network Feature Engineering for Optimizing Coronary Heart Disease Prediction Performance [PDF]
Objectives This study aimed to optimize early coronary heart disease (CHD) prediction using a genetic algorithm (GA)-based convolutional neural network (CNN) feature engineering approach.
Erwin Yudi Hidayat +6 more
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Neutrophils delay repair process in Wallerian degeneration by releasing NETs outside the parenchyma
Neutrophils accumulate at the epineurium in Wallerian degeneration (WD) and inhibit macrophage infiltration from the epineurium into the parenchyma by releasing neutrophil extracellular traps, resulting in the delay of repair processes in WD.
Yasuhiro Yamamoto +10 more
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Deep-learning segmentation of fascicles from microCT of the human vagus nerve
IntroductionMicroCT of the three-dimensional fascicular organization of the human vagus nerve provides essential data to inform basic anatomy as well as the development and optimization of neuromodulation therapies.
Ozge N. Buyukcelik +17 more
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