Results 11 to 20 of about 221,553 (290)

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

The Nerve Net of the Actinozoa [PDF]

Journal of Experimental Biology, 1935
ABSTRACTStimulation of the column of the anemone Calliatis parasitica elicits a graded series of responses. Each response is primarily due to the action of a single set of muscles. The means by which this effect is produced is physiologically simple.
D. M. Hall, C. F. A. Pantin
openaire   +6 more sources

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
doaj   +1 more source

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
doaj   +1 more source

Hydra: Imaging Nerve Nets in Action [PDF]

Current Biology, 2017
Mapping whole-brain activity during behavior represents one of the biggest and most exciting challenges of systems neuroscience. New research has taken advantage of the unique biology of an ancient organism to bring us a step closer to that goal.
Ji, Ni, Flavell, Steven Willem
openaire   +4 more sources

Deep-learning segmentation of fascicles from microCT of the human vagus nerve

Frontiers in Neuroscience, 2023
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, Ozge N. Buyukcelik, Maryse Lapierre-Landry, Chaitanya Kolluru, Aniruddha R. Upadhye, Aniruddha R. Upadhye, Daniel P. Marshall, Nicole A. Pelot, Kip A. Ludwig, Kip A. Ludwig, Kip A. Ludwig, Kenneth J. Gustafson, Kenneth J. Gustafson, David L. Wilson, Michael W. Jenkins, Michael W. Jenkins, Andrew J. Shoffstall, Andrew J. Shoffstall   +17 more
doaj   +1 more source

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
doaj   +1 more source