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Is the use of Stereotactic Electroencephalography Safe and Effective in Children? A Meta-Analysis of the use of Stereotactic Electroencephalography in Comparison to Subdural Grids for Invasive Epilepsy Monitoring in Pediatric Subjects
Sacino, Matthew F, Huang, Sean S, Schreiber, John, Gaillard, William D, Oluigbo, Chima O
Published in Neurosurgery (01.06.2019)
Published in Neurosurgery (01.06.2019)
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Pain phenotypes classified by machine learning using electroencephalography features
Levitt, Joshua, Edhi, Muhammad M., Thorpe, Ryan V., Leung, Jason W., Michishita, Mai, Koyama, Suguru, Yoshikawa, Satoru, Scarfo, Keith A., Carayannopoulos, Alexios G., Gu, Wendy, Srivastava, Kyle H., Clark, Bryan A., Esteller, Rosana, Borton, David A., Jones, Stephanie R., Saab, Carl Y.
Published in NeuroImage (Orlando, Fla.) (01.12.2020)
Published in NeuroImage (Orlando, Fla.) (01.12.2020)
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Clustering for mitigating subject variability in driving fatigue classification using electroencephalography source-space functional connectivity features
Nguyen, Khanh Ha, Tran, Yvonne, Craig, Ashley, Nguyen, Hung, Chai, Rifai
Published in Journal of neural engineering (01.12.2024)
Published in Journal of neural engineering (01.12.2024)
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Comparison of power spectra from overnight electroencephalography between patients with Down syndrome and matched control subjects
Talukder, Amlan, Yeung, Deryck, Li, Yuanyuan, Anandanadarajah, Nishanth, Umbach, David M., Fan, Zheng, Li, Leping
Published in Journal of sleep research (01.10.2024)
Published in Journal of sleep research (01.10.2024)
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Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition
Li, Jinpeng, Qiu, Shuang, Shen, Yuan-Yuan, Liu, Cheng-Lin, He, Huiguang
Published in IEEE transactions on cybernetics (01.07.2020)
Published in IEEE transactions on cybernetics (01.07.2020)
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Deep learning-based electroencephalography analysis: a systematic review
Roy, Yannick, Banville, Hubert, Albuquerque, Isabela, Gramfort, Alexandre, Falk, Tiago H, Faubert, Jocelyn
Published in Journal of neural engineering (01.10.2019)
Published in Journal of neural engineering (01.10.2019)
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Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces
Gao, Wei, Yu, Tianyou, Yu, Jin-Gang, Gu, Zhenghui, Li, Kendi, Huang, Yong, Yu, Zhu Liang, Li, Yuanqing
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
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WildLab: A naturalistic free viewing experiment reveals previously unknown electroencephalography signatures of face processing
Gert, Anna L., Ehinger, Benedikt V., Timm, Silja, Kietzmann, Tim C., König, Peter
Published in The European journal of neuroscience (01.12.2022)
Published in The European journal of neuroscience (01.12.2022)
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Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning
Levitt, Joshua, Nitenson, Adam, Koyama, Suguru, Heijmans, Lonne, Curry, James, Ross, Jason T., Kamerling, Steven, Saab, Carl Y.
Published in Journal of neuroscience methods (01.09.2018)
Published in Journal of neuroscience methods (01.09.2018)
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Reactivity of the occipital cortex in blind subjects by combining transcranial magnetic stimulation and electroencephalography
Hassan, G., De Cuntis, I., Cazzoli, M., Baglio, F., Furregoni, G., Bottari, D., Bernardi, G., Pietrini, P., Ricciardi, E., Rosanova, M., Casarotto, S.
Published in International journal of psychophysiology (01.06.2023)
Published in International journal of psychophysiology (01.06.2023)
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Wearable neuroimaging: Combining and contrasting magnetoencephalography and electroencephalography
Boto, Elena, Seedat, Zelekha A., Holmes, Niall, Leggett, James, Hill, Ryan M., Roberts, Gillian, Shah, Vishal, Fromhold, T. Mark, Mullinger, Karen J., Tierney, Tim M., Barnes, Gareth R., Bowtell, Richard, Brookes, Matthew J.
Published in NeuroImage (Orlando, Fla.) (01.11.2019)
Published in NeuroImage (Orlando, Fla.) (01.11.2019)
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Automatic Classification of Subjects of the PSEN1-E280A Family at Risk of Developing Alzheimer's Disease Using Machine Learning and Resting State Electroencephalography
García-Pretelt, Francisco Javier, Suárez-Relevo, Jazmín Ximena, Aguillon-Niño, David Fernando, Lopera-Restrepo, Francisco Javier, Ochoa-Gómez, John Fredy, Tobón-Quintero, Carlos Andrés
Published in Journal of Alzheimer's disease (01.01.2022)
Published in Journal of Alzheimer's disease (01.01.2022)
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Machine learning prediction on spatial and environmental perception and work efficiency using electroencephalography including cross-subject scenarios
Yu, Tingtao, Li, Junjie, Jin, Yichun, Wu, Weirong, Ma, Xintong, Xu, Weiguo, Lu, Shuai
Published in Journal of Building Engineering (01.04.2025)
Published in Journal of Building Engineering (01.04.2025)
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