Results 11 to 20 of about 71,310 (254)

Subcortical structures and epilepsy

Chinese Journal of Contemporary Neurology and Neurosurgery, 2023
With the rapid development of neuroelectrophysiology, neuroimaging and other technologies, a large amount of evidence has shown the occurrence and development of epilepsy was closely related to cortico⁃subcortical neural network.
ZHANG Qiong, FENG Li
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Neural network of fear emotion based on stereo⁃electroencephalography recording

Chinese Journal of Contemporary Neurology and Neurosurgery, 2023
Objective To investigate the neural network mechanism of fear induced by cortical functional electrical stimulation with stereotactic electrodes. Methods and Results A total of 20 patients with intractable epilepsy who were diagnosed and underwent ...
WANG Jing, TIAN Xiao⁃lin, WANG Xiong⁃fei, WANG Meng⁃yang, LUAN Guo⁃ming   +4 more
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The additional diagnostic value of motor nerve excitability testing in chronic axonal neuropathy

Clinical Neurophysiology Practice, 2022
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, Ulrik Sodemann, Laura M. Gaist, Søren H. Sindrup, Hatice Tankisi   +4 more
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Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network

Frontiers in Integrative Neuroscience, 2020
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, Tim Coolen, Vincent Wens, Vincent Wens, Marc Vander Ghinst, Alison Mary, Mathieu Bourguignon, Mathieu Bourguignon, Mathieu Bourguignon, Gilles Naeije, Philippe Peigneux, Niloufar Sadeghi, Serge Goldman, Serge Goldman, Xavier De Tiège, Xavier De Tiège   +15 more
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A Corneal Nerve Segmentation Algorithm Based on Improved ResU-Net [PDF]

Jisuanji gongcheng, 2021
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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Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net

Frontiers in Neuroscience, 2023
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, Chuan Zhang, Man Li, Zheng Luo, Ruhui Xiao, Bing Li, Jing Shi, Chen Zeng, BaiJinTao Sun, Xiaoxue Xu, Hanfeng Yang, Hanfeng Yang   +11 more
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Automatic Identification of Ultrasound Images of the Tibial Nerve in Different Ankle Positions Using Deep Learning

Sensors, 2023
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, Akihiro Kakimoto, Keisuke Anegawa, Masahiro Tsutsumi, Isao Yamaguchi, Shintarou Kudo   +5 more
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Of Circuits and Brains: The Origin and Diversification of Neural Architectures

Frontiers in Ecology and Evolution, 2020
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, Pedro Martinez, Simon G. Sprecher   +2 more
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Selective peripheral nerve recording using simulated human median nerve activity and convolutional neural networks

BioMedical Engineering OnLine, 2023
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, Ryan G. L. Koh, José Zariffa   +2 more
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Genetic Algorithm-based Convolutional Neural Network Feature Engineering for Optimizing Coronary Heart Disease Prediction Performance [PDF]

Healthcare Informatics Research
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, Yani Parti Astuti, Ika Novita Dewi, Abu Salam, Moch. Arief Soeleman, Zainal Arifin Hasibuan, Ahmed Sabeeh Yousif   +6 more
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