Protocol to assess changes in brain network resistance to perturbation during offline processing using TMS-EEG by Martina Bracco, Tuomas P. Mutanen, Domenica Veniero, Gregor Thut, Edwin M. Robertson

“…Summary: Transcranial magnetic stimulation (TMS) perturbs specific brain regions and, combined with electroencephalography (EEG), enables the assessment of activity within their connected networks. …”
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A Novel MEGNet for Classification of High-Frequency Oscillations in Magnetoencephalography of Epileptic Patients by Jun Liu, Siqi Sun, Yang Liu, Jiayang Guo, Hailong Li, Yuan Gao, Jintao Sun, Jing Xiang

“…Epilepsy is a neurological disease, and the location of a lesion before neurosurgery or invasive intracranial electroencephalography (iEEG) surgery using intracranial electrodes is often very challenging. …”
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Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification by Qingshan She, Haitao Gan, Yuliang Ma, Zhizeng Luo, Tom Potter, Yingchun Zhang

“…Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation programs. …”
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Enhanced Cognitive Load Detection in Air Traffic Control Operators Using EEG and a Hybrid Deep Learning Approach by Yueying Zhou, Junji Jiang, Lijun Wang, Shanshan Liang, Hao Liu

“…The automatic and effective detection of cognitive load for air traffic control (ATC) operators through electroencephalography (EEG) signals provides a covert and objective method for enhancing ATC safety. …”
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Improved BCI calibration in multimodal emotion recognition using heterogeneous adversarial transfer learning by Mehmet Ali Sarikaya, Gökhan Ince

“…This study presents a novel approach that utilizes heterogeneous adversarial transfer learning (HATL) to synthesize electroencephalography (EEG) data from various other signal modalities, reducing the need for lengthy calibration phases. …”
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Neuropedagogy and Neuroimaging of Artificial Intelligence and Deep Learning by Claudia De Barros Camargo , Antonio Hernández Fernández

“…Additionally, a comparative case study using portable electroencephalography (EEG) was conducted to observe direct neurological effects of different learning approaches. …”
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Optimal channel and feature selection for automatic prediction of functional brain age of preterm infant based on EEG by Ling Li, Jiahui Li, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…Accurate assessment of brain maturity is crucial for timely intervention and treatment planning. Electroencephalography (EEG) is a noninvasive method commonly used for this purpose. …”
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SEEG-Based Bilateral Seizure Network Analysis for Neurostimulation Treatment by Genchang Peng, Mehrdad Nourani, Jay Harvey

“…Epilepsy patients with drug-resistant seizures emanating from two or more distinct regions of left and right hemispheres are the primary candidates for neurostimulation treatment. Stereo-electroencephalography (SEEG) is a minimally invasive technique to monitor and evaluate brain activities during seizures before stimulator implantation. …”
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Cortical excitability on sleep deprivation measured by transcranial magnetic stimulation: A systematic review and meta-analysis by Yihui Zhang, Yuan Shi, Ye Zhang, Jian Jiao, Xiangdong Tang

“…Recently, transcranial magnetic stimulation combined with electromyography (TMS-EMG) and electroencephalography (TMS-EEG) have been used to assess cortical excitability in sleep-deprived individuals, but the results were inconsistent. …”
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A design principle for neuronal firing with up-down oscillation through Na+ dynamics by Tomohide R. Sato, Koji L. Ode, Fukuaki L. Kinoshita, Hiroki R. Ueda

“…Summary: Nonrapid eye movement sleep is characterized by high-amplitude and low-frequency electroencephalography signals. These signals are thought to be produced by the synchronized activity of cortical neurons, demonstrating the alternating bursting (up) and resting (down) states. …”
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A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…Abstract Fatigue driving is one of the potential factors threatening road safety, and monitoring drivers’ mental state through electroencephalography (EEG) can effectively prevent such risks. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…It is important to classify electroencephalography (EEG) signals automatically for the diagnosis and treatment of epilepsy. …”
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Neuroimaging findings and balance problems after mild traumatic brain injury: A systematic review protocol. by Todd Boscarello, Robby Boparai, Nathan Samson, Alan Rodriguez, Thomas Knoblauch, Cheryl Vanier, Travis Snyder

“…Neuroimaging modalities, including magnetic resonance imaging, diffusion-weighted imaging, functional magnetic resonance imaging, electroencephalography, and magnetoencephalography, have been associated with presentation or persistence of balance difficulties, but no clinical guidelines are currently in place.…”
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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

“…BackgroundElectrical activity recorded with electroencephalography (EEG) enables the development of predictive models for emotion recognition. …”
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Contingent Negative Variation and Working Memory Maintenance in Adolescents with Low and High Motor Competencies by Sebastian Ludyga, Christian Herrmann, Manuel Mücke, Christian Andrä, Serge Brand, Uwe Pühse, Markus Gerber

“…The initial (iCNV) and terminal (tCNV) components of the contingent negative variation elicited by the cognitive task were recorded using electroencephalography. Higher working memory maintenance was found in adolescents with high motor competencies compared to those with low motor competencies. …”
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Effects of intrathecal administration of sodium nitroprusside and nicardipine on cerebral pial microcirculation, cortical tissue oxygenation, and electrocortical activity in the ea... by Hyoung Youn Lee, Najmiddin Mamadjonov, Kyung Woon Jeung, Yong Hun Jung, Wan Young Heo, Yong Soo Cho, Byung Kook Lee, Tag Heo

“…Amplitude-integrated electroencephalography amplitude recovery was faster in the SNP group (coefficient [95% CI], 1.149 [0.468-1.829]) but not in the nicardipine group compared to the saline group. …”
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Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review by Nafizul Alam, Sk Hasan, Gazi Abdullah Mashud, Subodh Bhujel

“…Surface electromyography (sEMG), electromyography (EMG), electroencephalography (EEG), and other physiological signals enable communication between the human body and robotic systems. …”
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EEG as a neural measure of hypoxia-related impairment by Stephanie R. Otto, Stephanie R. Otto, Cammi K. Borden, Cammi K. Borden, Daniel G. McHail, Kara J. Blacker

“…Recent advances in neuroscience have permitted non-invasive observation of neural activity under controlled hypoxia exposures and have begun to uncover how the brain responds to hypoxia. Electroencephalography (EEG) in particular has been used to explore how electrical activity produced by networks of cortical neurons changes under hypoxia. …”
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. …”
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Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity by Souvik Phadikar, Krishna Pusuluri, Armin Iraji, Vince D. Calhoun

“…IntroductionThe Integration of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) has allowed for a novel exploration of the brain’s spatial–temporal resolution. …”
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