Application of EEG in migraine by Ning Zhang, Ning Zhang, Ning Zhang, Yonghui Pan, Qihui Chen, Qingling Zhai, Ni Liu, Yanan Huang, Tingting Sun, Yake Lin, Linyuan He, Yue Hou, Qijun Yu, Hongyan Li, Shijiao Chen

“…However, many limitations and challenges exist in migraine research, including the unclear etiology and the lack of specific biomarkers for diagnosis and treatment. Electroencephalography (EEG) is a neurophysiological technique for measuring brain activity. …”
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Catecholaminergic neuromodulation and selective attention jointly shape perceptual decision-making by Stijn A Nuiten, Jan Willem de Gee, Jasper B Zantvoord, Johannes J Fahrenfort, Simon van Gaal

“…To investigate the effects of two distinct neuromodulatory systems and spatial attention on perceptual decisions, we pharmacologically elevated cholinergic (through donepezil) and catecholaminergic (through atomoxetine) levels in humans performing a visuo-spatial attention task, while we measured electroencephalography (EEG). Both attention and catecholaminergic enhancement improved decision-making at the behavioral and algorithmic level, as reflected in increased perceptual sensitivity and the modulation of the drift rate parameter derived from drift diffusion modeling. …”
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Mechanical Ventilation, Partial Pressure of Carbon Dioxide, Increased Fraction of Inspired Oxygen and the Increased Risk for Adverse Short-Term Outcomes in Cooled Asphyxiated Newbo... by Stamatios Giannakis, Maria Ruhfus, Mona Markus, Anja Stein, Thomas Hoehn, Ursula Felderhoff-Mueser, Hemmen Sabir

“…Death, abnormal findings on magnetic resonance imaging, and pathological amplitude-integrated electroencephalography traces were used to define short-term outcomes. …”
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Modulation of long-term potentiation following microdoses of LSD captured by thalamo-cortical modelling in a randomised, controlled trial by Robin J. Murphy, Kate Godfrey, Alexander D. Shaw, Suresh Muthukumaraswamy, Rachael L. Sumner

“…Pre-clinically, psychedelics have demonstrated enhancing effects on neuroplasticity, which cannot be measured directly in humans, but may be indexed by non-invasive electroencephalography (EEG) paradigms. This study used a visual long-term potentiation (LTP) EEG paradigm to test the effects of microdosed lysergic acid diethylamide (LSD) on neural plasticity, both acutely while on the drug and cumulatively after microdosing every third day for six weeks. …”
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The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlle... by Marta Cipriani, Floriana Pichiorri, Emma Colamarino, Jlenia Toppi, Federica Tamburella, Matteo Lorusso, Alessandra Bigioni, Giovanni Morone, Francesco Tomaiuolo, Filippo Santoro, Daniele Cordella, Marco Molinari, Febo Cincotti, Donatella Mattia, Maria Puopolo

“…Abstract Background Electroencephalography (EEG)-based brain-computer interfaces (BCIs) allow to modulate the sensorimotor rhythms and are emerging technologies for promoting post-stroke motor function recovery. …”
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Neural tracking of linguistic and acoustic speech representations decreases with advancing age by Marlies Gillis, Jill Kries, Maaike Vandermosten, Tom Francart

“…We studied natural speech processing across the adult lifespan via electroencephalography (EEG) measurements of neural tracking.Goals: Our goals are to analyze the unique contribution of linguistic speech processing across the adult lifespan using natural speech, while controlling for the influence of acoustic processing. …”
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PainVision-based evaluation of brain potentials: a novel approach for quantitative pain assessment by Li Chen, Zhen Zhang, Rui Han, Liyuan Du, Zhenxing Li, Shuiping Liu, Dong Huang, Dong Huang, Haocheng Zhou, Haocheng Zhou

“…Resting-state electroencephalography (EEG) was simultaneously performed to capture the cortical responses to peripheral stimulation.Results: Pain scores increased with the intensity of stimuli, with mean NRS scores of 2.7 ± 1.0 after mild stimuli and 5.6 ± 1.0 after moderate stimuli. …”
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Electroencephalogram Analysis of Magnetic Stimulation at Different Acupoints by Ning Yin, Ning Yin, Ao-Xiang Wang, Ao-Xiang Wang, Hai-Li Wang, Hai-Li Wang

“…This paper combines magnetic stimulation technology with electroencephalography to analyze the time-frequency and the brain functional network results elicited by magnetic stimulation at different acupoints. …”
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Multimodal Assessment of Cognitive Workload Using Neural, Subjective and Behavioural Measures in Smart Factory Settings by Zohreh Zakeri, Arshia Arif, Ahmet Omurtag, Philip Breedon, Azfar Khalid

“…In this study, factory workers’ mental workload was assessed using physiological, behavioural, and subjective measures. Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals were collected to acquire brain signals and track hemodynamic activity, respectively. …”
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Correlation between Post-Acute Electroconvulsive Therapy Alpha-Band Spectrum Power Increase and Improvement of Psychiatric Symptoms by Hideyuki Iwanaga, Takefumi Ueno, Naoya Oribe, Manabu Hashimoto, Jun Nishimura, Naho Nakayama, Nami Haraguchi, Hiroshi Tateishi, Yutaka Kunitake, Yoshito Mizoguchi, Akira Monji

“…The results of quantitative electroencephalography (qEEG) studies on electroconvulsive therapy (ECT) have been inconsistent, and indicators of the efficacy of ECT have not been clearly identified. …”
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Behavioral and Brain Reactivity Associated With Drug-Related and Non-Drug-Related Emotional Stimuli in Methamphetamine Addicts by Xiawen Li, Yu Zhou, Guanghui Zhang, Yingzhi Lu, Chenglin Zhou, Hongbiao Wang

“…In the second, they performed a cued-action task while electroencephalography (EEG) data were recorded.ResultDrug-related images were rated negatively, with an average rating of 3.57. …”
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Resting-state EEG delta and alpha power predict response to cognitive behavioral therapy in depression: a Canadian biomarker integration network for depression study by Benjamin Schwartzmann, Lena C. Quilty, Prabhjot Dhami, Rudolf Uher, Timothy A. Allen, Stefan Kloiber, Raymond W. Lam, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Claudio N. Soares, Jane A. Foster, Susan Rotzinger, Sidney H. Kennedy, Faranak Farzan

“…In a Canadian Biomarker Integration Network for Depression (CAN-BIND) study, forty-one adults with depression were recruited to undergo a 16-week course of CBT with thirty having resting-state electroencephalography (EEG) recorded at baseline and week 2 of therapy. …”
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PRRT2 mutation in a Japanese woman: Adult-onset focal epilepsy coexisting with movement disorders and cerebellar atrophy by Rie Motoyama, Takashi Matsudaira, Kiyohito Terada, Naotaka Usui, Koh-ichiro Yoshiura, Yukitoshi Takahashi

“…We describe here a rare presentation of adult-onset focal epilepsy with a PRRT2 mutation in a 31-year-old woman who showed cerebellar atrophy, familial paroxysmal kinesigenic dyskinesia, and paroxysmal non-kinesigenic dystonia. Video-electroencephalography (EEG) demonstrated focal impaired awareness seizures, in which ictal EEG changes showed left temporal onset with rhythmic theta activity over the left temporal region. …”
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Characteristics of EEG power spectra involved in the proficiency of motor learning by Hiroyuki Hamada, Wen Wen, Wen Wen, Wen Wen, Tsubasa Kawasaki, Atsushi Yamashita, Atsushi Yamashita, Hajime Asama, Hajime Asama

“…However, the intervention effect of neuromodulation approaches on motor learning is poor, partly because the electroencephalography (EEG) power spectra associated with the motor learning process has not yet been fully elucidated. …”
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Transcutaneous Vagus Nerve Stimulation Modulates EEG Microstates and Delta Activity in Healthy Subjects by Lorenzo Ricci, Pierpaolo Croce, Jacopo Lanzone, Marilisa Boscarino, Filippo Zappasodi, Mario Tombini, Vincenzo Di Lazzaro, Giovanni Assenza

“…The objective of this study is to assess the effects of tVNS on cerebral cortex activity in healthy volunteers using resting-state microstates and power spectrum electroencephalography (EEG) analysis. Eight male subjects aged 25–45 years were recruited in this randomized sham-controlled double-blind study with cross-over design. …”
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Correlation of motor-auditory cross-modal and auditory unimodal N1 and mismatch responses of schizophrenic patients and normal subjects: an MEG study by Mitsutoshi Okazaki, Mitsutoshi Okazaki, Masato Yumoto, Yuu Kaneko, Kazushi Maruo

“…There is some evidence that the forward model can be measured using the electroencephalography (EEG) and magnetoencephalography (MEG) components such as N1 (m) and mismatch negativity (MMN) (m). …”
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Temporal interference stimulation targets deep primate brain by Ruobing Liu, Guanyu Zhu, Zhengping Wu, Yifei Gan, Jianguo Zhang, Jiali Liu, Liang Wang

“…Two monkeys were involved in the measurement, with implantation of several stereo-electroencephalography (SEEG) depth electrodes. TI stimulation was applied to anesthetized monkeys using two pairs of surface electrodes at differing stimulation parameters. …”
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Triggered episodic vestibular syndrome and transient loss of consciousness due to a retrostyloidal vagal schwannoma: a case report by Maritta Spiegelberg, Ekin Ermiş, Andreas Raabe, Alexander Andrea Tarnutzer, Alexander Andrea Tarnutzer

“…Quantitative vestibular testing revealed an intact peripheral-vestibular function, and electroencephalography was read as normal. On the brain MRI, a 16 x 15 x 12 mm lesion in the right retrostyloidal space suspicious of a vagal schwannoma was detected. …”
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Relationship between right‐to‐left shunt, hypoxia, and epilepsy by Bosi Dong, Yajiao Li, Shuming Ji, Shixu He, Qi Lai, Ximeng Yang, Hui Wang, Yusha Tang, Anjiao Peng, Min Wu, Yunwu Zhang, Lei Chen

“…The collected data included demographics, clinical features of epilepsy, antiseizure medications (ASMs), RLS identified by cTTE, electroencephalography (EEG), and magnetic resonance imaging (MRI). …”
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Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification by Md. Humaun Kabir, Shabbir Mahmood, Abdullah Al Shiam, Abu Saleh Musa Miah, Jungpil Shin, Md. Khademul Islam Molla

“…Analyzing electroencephalography (EEG) signals with machine learning approaches has become an attractive research domain for linking the brain to the outside world to establish communication in the name of the Brain-Computer Interface (BCI). …”
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