Showing 241 - 253 results of 253 for search '"Electroencephalography"', query time: 0.04s Refine Results
  1. 241

    Quantifying the Suitability of Biosignals Acquired During Surgery for Multimodal Analysis by Ennio Idrobo-Avila, Gergo Bognar, Dagmar Krefting, Thomas Penzel, Peter Kovacs, Nicolai Spicher

    Published 2024-01-01
    “…<italic>Methods:</italic> We applied widely known algorithms entitled &#x201C;signal quality indicators&#x201D; to the common biosignals in both datasets, namely electrocardiography, electroencephalography, and respiratory signals split in segments of 10 s duration. …”
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  2. 242

    Evaluation of Machine Learning Algorithms for Classification of Visual Stimulation-Induced EEG Signals in 2D and 3D VR Videos by Mingliang Zuo, Xiaoyu Chen, Li Sui

    Published 2025-01-01
    “…The subjective experiences in VR vary based on the virtual environment’s characteristics, and electroencephalography (EEG) is instrumental in assessing these differences. …”
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  3. 243

    Alpha EEG Spectral Characteristics in the Parieto-Occipital lobe of Elderly Patients with Chronic Insomnia and Mild Cognitive Impairment by GUO Zhenxing, BAI Linxin, ZHANG Lin, GAO Jiahui, RAO Ting, LIU Zhizhen

    Published 2024-01-01
    “…Daytime resting-state electroencephalography (EEG) was collected using the Neuroscan synchronous EEG recording system, comparing the power values and trends of alpha waves (8–13 Hz) across channels in the occipital lobe. …”
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  4. 244

    Different cortex activation between young and middle-aged people during different type problem-solving: An EEG&fNIRS study by Mevhibe Saricaoglu, Meryem Ayşe Yücel, Miray Budak, Ahmet Omurtag, Lutfu Hanoglu

    Published 2025-03-01
    “…This study investigated the hemodynamic response measured by the changes in the oxyhemoglobin concentration (HbO), alpha frequency power, and their interrelation during problem-solving in healthy young and middle-aged individuals, employing combined electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recordings. …”
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  5. 245

    Measuring Bound Attention During Complex Liver Surgery Planning: Feasibility Study by Tim Schneider, Timur Cetin, Stefan Uppenkamp, Dirk Weyhe, Thomas Muender, Anke V Reinschluessel, Daniela Salzmann, Verena Uslar

    Published 2025-01-01
    “…ObjectiveThis study aims to establish a method for objectively determining the additional workload generated using AR or VR glasses in a clinical context for the first time. MethodsElectroencephalography (EEG) signals were recorded using a passive auditory oddball paradigm while 9 participants performed surgical planning for liver resection across 3 different conditions: (1) using AR glasses, (2) VR glasses, and (3) the conventional planning software on a computer. …”
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  6. 246

    Clinical characteristics, etiology, and treatment of young adult‐onset epilepsy: A 24‐year retrospective study by Xu Zhang, Feng Xiang, Ziyu Wang, Yang Li, Chenjing Shao, Xiaoyang Lan, Senyang Lang, Xiangqing Wang

    Published 2025-02-01
    “…Multifactorial regression analysis showed that the factors associated with poor seizure control included longer seizure duration (odds ratio [OR] 1.85; 95% confidence interval [CI] 1.58‐2.16; p < 0.001), electroencephalography (EEG) epileptic discharge (OR 1.37; 95% CI 1.17–1.67; p < 0.001), focal seizure (OR 1.69; 95% CI 1.38–2.07; p < 0.001), and seizure clusters (OR 3.35; 95% CI 2.70–4.15; p < 0.001). …”
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  7. 247

    Evaluation and Management of Patients with Seizures in the Emergency Department: A One-Year Analysis by K. Puteikis, K. Zdanytė, R. Mameniškienė

    Published 2018-09-01
    “…Outpatients with seizures but no diagnosed epilepsy were most often advised to consult a neurologist, receive an electroencephalography (EEG) (19, 76.0% and 11, 44.0%, respectively), and abstain from alcohol (11, 44.0%), but treatment was almost never prescribed. …”
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  8. 248

    Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness by Hui Li, Hui Li, Hui Li, Linghui Dong, Linghui Dong, Linghui Dong, Wenlong Su, Wenlong Su, Ying Liu, Ying Liu, Zhiqing Tang, Zhiqing Tang, Xingxing Liao, Xingxing Liao, Junzi Long, Junzi Long, Xiaonian Zhang, Xinting Sun, Hao Zhang, Hao Zhang, Hao Zhang, Hao Zhang

    Published 2025-02-01
    “…IntroductionPrognostication in patients with prolonged disorders of consciousness (pDoC) remains a challenging task. Electroencephalography (EEG) is a neurophysiological method that provides objective information for evaluating overall brain function. …”
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  9. 249

    Exploring the Effects of Sleep Deprivation on Physical Performance: An EEG Study in the Context of High-Intensity Endurance by Shanguang Zhao, Majed M. Alhumaid, Hai Li, Xin Wei, Steve SHYH-Ching Chen, Hongke Jiang, Yuwu Gong, Yun Gu, Haiquan Qin

    Published 2025-01-01
    “…This study examines the neurophysiological basis of sleep deprivation on high-intensity endurance using electroencephalography (EEG). In this crossover study, twenty firefighters were subjected to both sleep deprivation (SD) and normal sleep conditions, with each participant performing endurance treadmill exercise the following morning after each condition. …”
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  10. 250

    Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

    Published 2025-01-01
    “…<b>Background:</b> Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. …”
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  11. 251

    The neural activity of auditory conscious perception by Kate L. Christison-Lagay, Aya Khalaf, Noah C. Freedman, Christopher Micek, Sharif I. Kronemer, Mariana M. Gusso, Lauren Kim, Sarit Forman, Julia Ding, Mark Aksen, Ahmad Abdel-Aty, Hunki Kwon, Noah Markowitz, Erin Yeagle, Elizabeth Espinal, Jose Herrero, Stephan Bickel, James Young, Ashesh Mehta, Kun Wu, Jason Gerrard, Eyiyemisi Damisah, Dennis Spencer, Hal Blumenfeld

    Published 2025-03-01
    “…Participants completed an auditory threshold task while undergoing intracranial electroencephalography. Recordings from >2,800 grey matter electrodes were analyzed for broadband gamma power (a range which reflects local neural activity). …”
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  12. 252

    Clinical and molecular outcomes from the 5-Year natural history study of SSADH Deficiency, a model metabolic neurodevelopmental disorder by Itay Tokatly Latzer, Jean-Baptiste Roullet, Wardiya Afshar-Saber, Henry H. C. Lee, Mariarita Bertoldi, Gabrielle E. McGinty, Melissa L. DiBacco, Erland Arning, Melissa Tsuboyama, Alexander Rotenberg, Thomas Opladen, Kathrin Jeltsch, Àngels García-Cazorla, Natalia Juliá-Palacios, K. Michael Gibson, Mustafa Sahin, Phillip L. Pearl

    Published 2024-04-01
    “…Methods SSADHD subjects underwent clinical evaluations, neuropsychological assessments, biochemical quantification of γ-aminobutyrate (GABA) and related metabolites, electroencephalography (standard and high density), magnetoencephalography, transcranial magnetic stimulation, magnetic resonance imaging and spectroscopy, and genetic tests. …”
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  13. 253

    Increased spindle-related brain activation in right middle temporal gyrus during N2 than N3 among healthy sleepers: Initial discovery and independent sample replication by Yan Shao, Yupeng Guo, Yun Chen, Guangyuan Zou, Jie Chen, Xuejiao Gao, Panpan Lu, Yujie Tong, Yuezhen Li, Ping Yao, Jiayi Liu, Shuqin Zhou, Jing Xu, Jia-Hong Gao, Qihong Zou, Hongqiang Sun

    Published 2025-01-01
    “…Here, we tested the discrepancy in spindle-related brain activation between N2 and N3 within healthy college students (dataset 1: n = 27, 59 % females, median age 23 years), using simultaneous electroencephalography-functional magnetic resonance imaging (EEG-fMRI). …”
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