Results 71 to 80 of about 300,325 (331)

Exact Solutions for Network Rewiring Models

, 2007
Evolving networks with a constant number of edges may be modelled using a rewiring process. These models are used to describe many real-world processes including the evolution of cultural artifacts such as family names, the evolution of gene variations ...
Evans, T. S.
core   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih, Sara Samadzadeh, Charlotte Bereuter, Seyedamirhosein Motamedi, Claudia Chien, Pablo Villoslada, Hadas Stiebel‐Kalish, Nasrin Asgari, Yang Mao‐Draayer, Marius Ringelstein, Joachim Havla, Marco Aurélio Lana Peixoto, Ho Jin Kim, Jacqueline Palace, Maria Isabel Leite, Srilakshmi M. Sharma, Fereshteh Ashtari, Rahele Kafieh, Lekha Pandit, Orhan Aktas, Philipp Albrecht, Letizia Leocani, Itay Lotan, Sasitorn Siritho, Jérôme de Seze, Romain Marignier, Caroline Froment Tilikete, Denis Bernardi Bichuetti, Ivan Maynart Tavares, Ayse Altintas, Anu Jacob, Saif Huda, Ibis Soto de Castillo, Lawrence J. Cook, Michael R. Yeaman, Axel Petzold, Alexander U. Brandt, Friedemann Paul, Frederike C. Oertel, Hanna G. Zimmermann, with the Guthy Jackson Charitable Foundation—International Clinical Consortium and CROCTINO Collaborators   +40 more
wiley   +1 more source

Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks

IEEE Access, 2021
Scalp electroencephalogram (EEG) is a non-invasive measure of brain activity. It is widely used in several applications including cognitive tasks, sleep stage detection, and seizure prediction.
Fabio Lopes, Adriana Leal, Julio Medeiros, Mauro F. Pinto, Antonio Dourado, Matthias Dumpelmann, Cesar Teixeira   +6 more
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

A Systematic Review of Tracing Solutions in Software Product Lines [PDF]

, 2018
Software Product Lines are large-scale, multi-unit systems that enable massive, customized production. They consist of a base of reusable artifacts and points of variation that provide the system with flexibility, allowing generating customized products.
Asri, Bouchra El, Kriouile, Abdelaziz, Mcharfi, Zineb   +2 more
core   +2 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals

NeuroImage
Artifact removal in electroencephalography (EEG) is a longstanding challenge that significantly impacts neuroscientific analysis and brain–computer interface (BCI) performance.
Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas   +3 more
doaj   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Evaluation of metallic implant artifact on photon beam calculation algorithms using a CIRS thorax phantom

Journal of Radiation Research and Applied Sciences, 2018
The aim of this study was to evaluate the effect of metallic artifact on radiation dose calculations for patients with metallic implants and to find ways in reducing the errors associated with actual dose delivered.
George Felix Acquah, Philip Oppong Kyeremeh, Francis Hasford, Mary Boadu, Edem Kwablah Sosu, Samuel Inkoom   +5 more
doaj   +1 more source

Finite-Difference and Pseudospectral Time-Domain Methods Applied to Backwards-Wave Metamaterials

, 2004
Backwards-wave (BW) materials that have simultaneously negative real parts of their electric permittivity and magnetic permeability can support waves where phase and power propagation occur in opposite directions.
Bevelacqua, Peter J., Feise, Michael W., Schneider, John B.   +2 more
core   +1 more source