Acute electroencephalography responses during incremental exercise in those with mental illness by C. V. Robertson, M. Skein, G. Wingfield, J. R. Hunter, J. R. Hunter, T. D. Miller, T. E. Hartmann

“…It is not yet known if these affective electroencephalography (EEG) responses to exercise occur during exercise or only after completion of an exercise bout. …”
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Technical and clinical considerations for electroencephalography-based biomarkers for major depressive disorder by Leif Simmatis, Emma E. Russo, Joseph Geraci, Irene E. Harmsen, Nardin Samuel

“…There has been little progress in developing new MDD therapeutics due to a poor understanding of disease heterogeneity and individuals’ responses to treatments. Electroencephalography (EEG) is poised to improve this, owing to the ease of large-scale data collection and the advancement of computational methods to address artifacts. …”
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Optimising the classification of feature-based attention in frequency-tagged electroencephalography data by Angela I. Renton, David R. Painter, Jason B. Mattingley

“…Measurement(s) Electroencephalography Technology Type(s) electroencephalography (EEG) Factor Type(s) Cued colour (black, white) • Cued flicker frequency (6.0 Hz, 7.5 Hz) • Distractor (present, absent) Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment time stamped measurement datum Sample Characteristic - Location Australia…”
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Classification of Motor Imagery Electroencephalography Signals Based on Image Processing Method by Zhongye Chen, Yijun Wang, Zhongyan Song

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Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study by Ping Xie, Ying Wang, Jian Yu, Yan Lv, Shengcui Cheng, Yingying Hao, Xiaoling Chen, Tengyu Zhang, Jie Chen

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Implications of starting antiepileptic treatment prior to electroencephalography in first epileptic seizures by A. Llauradó, M. Quintana, E. Fonseca, L. Abraira, M. Toledo, M. Requena, M. Olivé, A. Ballvé, D. Campos, M. Sueiras, E. Santamarina

“…Introduction: This study aimed to determine whether the administration of antiepileptic drugs (AED) alters the likelihood of detecting epileptiform abnormalities in electroencephalographies (EEG) performed early after a first epileptic seizure. …”
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Paroxysmal events during prolonged video-electroencephalography monitoring in refractory epilepsy by A. Sanabria-Castro, F. Henríquez-Varela, C. Monge-Bonilla, S. Lara-Maier, M. Sittenfeld-Appel

“…Results: During prolonged video electroencephalography monitoring, 76.9% of the patients (n = 70) had paroxysmal events. …”
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Remote Electroencephalography Monitoring of Epilepsy in Adults: Protocol for a Scoping Review by Madison Milne-Ives, Rohit Shankar, Brendan McLean, Jonas Duun-Henriksen, Lykke Blaabjerg, Edward Meinert

“… BackgroundElectroencephalography (EEG) monitoring is a key tool in diagnosing and determining treatment for people with epilepsy; however, obtaining sufficient high-quality data can be a time-consuming, costly, and inconvenient process for patients and health care providers. …”
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iCap: New method for noise reduction in electroencephalography (EEG) signals by Nibras ABO ALZAHAB Riham DAIEA Mhd Shafik ALNAHHAS

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Neurophysiological insights into impaired mentalization in borderline personality disorder an electroencephalography study by Seokho Yun, So-Hye Jo, Hye-Jin Jeon, Bokyung Choo, Jeong-Ho Seok, Hyunkyung Shin, In-Young Kim, Sun-Woo Choi, Bon-Hoon Koo

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An adaptive singular spectrum analysis method for extracting brain rhythms of electroencephalography by Hai Hu, Shengxin Guo, Ran Liu, Peng Wang

“…Artifacts removal and rhythms extraction from electroencephalography (EEG) signals are important for portable and wearable EEG recording devices. …”
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Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques by Amel Ksibi, Mohammed Zakariah, Leila Jamel Menzli, Oumaima Saidani, Latifah Almuqren, Rosy Awny Mohamed Hanafieh

“…The growth of biomedical engineering has made depression diagnosis via electroencephalography (EEG) a trendy issue. The two significant challenges to this application are EEG signals’ complexity and non-stationarity. …”
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ELECTROENCEPHALOGRAPHY SHOWING DYING BRAIN IN A PATIENT WITH ACUTE BACLOFEN POISONING by A. Y. Mikhaylov, I. Y. Berezina, M. M. Potskhveriya, L. I. Sumsky

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Competing Visual Cues Revealed by Electroencephalography: Sensitivity to Motion Speed and Direction by Rassam Rassam, Qi Chen, Yan Gai

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Newborns at high risk for brain injury: the role of the amplitude-integrated electroencephalography by Gabriel Fernando Todeschi Variane, Daniela Pereira Rodrigues, Rafaela Fabri Rodrigues Pietrobom, Carolina Nunes França, Alexandre Netto, Maurício Magalhães

Subjects: “…Amplitude-integrated electroencephalography…”
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Investigation of the effect and availability of ketamine on electroencephalography in cats with temporal lobe epilepsy by Satoshi Mizuno, Rikako Asada, Yoshihiko Yu, Yuji Hamamoto, Yuji Hamamoto, Daisuke Hasegawa

“…In recent years, electroencephalography (EEG) in veterinary medicine has become important not only in the diagnosis of epilepsy, but also in determining the epileptogenic focus. …”
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Pinniped electroencephalography: Methodology and findings in California sea lions (Zalophus californianus) by D. Colette Williams, Martin Haulena, Sophie Dennison, Lynnette Waugh, Tracey Goldstein, Felicia Nutter, Bill Van Bonn, Vanessa Hoard, Kenneth D. Laxer, Paul S. Buckmaster, Frances M. D. Gulland, Frances M. D. Gulland, Barry Tharp

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Exploring the neural underpinnings of chord prediction uncertainty: an electroencephalography (EEG) study by Kentaro Ono, Ryohei Mizuochi, Kazuki Yamamoto, Takafumi Sasaoka, Shigeto Ymawaki

“…Participants were asked to predict the final chord in sequences while their brain activity was measured using electroencephalography (EEG). We found that the stimulus preceding negativity (SPN), an EEG component associated with predictive processing of sensory stimuli, was larger for non-harmonic chord sequences than for harmonic chord progressions. …”
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Evaluation of Electroencephalography, Behaviour and Eye Temperature in Response to Surgical Castration in Sheep by Charissa Harris, Peter John White, Evelyn Hall, Dominique Van der Saag, Sabrina Lomax

Subjects: “…electroencephalography…”
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An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets by Smith K. Khare, Nikhil Gaikwad, Neeraj Dhanraj Bokde

“…Precise selection of uniform tuning parameters of tunable Q wavelet transform (TQWT) for electroencephalography (EEG) signals is arduous. Therefore, this paper proposes robust TQWT for automatically selecting optimum tuning parameters to decompose non-stationary EEG signals accurately. …”
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