Neural mechanisms of expert persuasion on willingness to pay for sugar by Ioannis Ntoumanis, Alina Davydova, Julia Sheronova, Ksenia Panidi, Vladimir Kosonogov, Anna N. Shestakova, Iiro P. Jääskeläinen, Iiro P. Jääskeläinen, Vasily Klucharev

“…Here, we investigate which aspects of neural responses to the same healthy eating call can predict the efficacy of expert persuasion.Methods: Forty-five healthy participants performed two blocks of a bidding task, in which they had to bid on sugar-containing, sugar-free and non-edible products, while their electroencephalography (EEG) was recorded. In between the two blocks, they listened to a healthy eating call by a nutritionist emphasizing the risks of sugar consumption.Results: We found that after listening to the healthy eating call, participants significantly decreased their WTP for sugar-containing products. …”
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Objective speech intelligibility prediction using a deep learning model with continuous speech-evoked cortical auditory responses by Youngmin Na, Hyosung Joo, Le Thi Trang, Luong Do Anh Quan, Jihwan Woo, Jihwan Woo

“…Here, we used a convolutional neural network to predict speech intelligibility from electroencephalography (EEG). Sixty-four–channel EEGs were recorded from 87 adult participants with normal hearing. …”
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Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study by Robert O Cotes, Mina Boazak, Emily Griner, Zifan Jiang, Bona Kim, Whitney Bremer, Salman Seyedi, Ali Bahrami Rad, Gari D Clifford

“…ObjectiveWe present a research protocol that utilizes facial expression, eye gaze, voice and speech, locomotor, heart rate, and electroencephalography monitoring to assess schizophrenia symptoms and to distinguish patients with schizophrenia from those with other psychiatric disorders and control subjects. …”
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Automatic Epileptic Tissue Localization Through Spatial Pattern Clustering of High Frequency Activity by Mu Shen, Hongchuan Niu, Qing Xia, Bing Zou, Yubo Zheng, Yuanli Zhao, Lei Li, Xianzeng Liu, Lin Zhang

“…High-frequency activity (HFA) in intracranial electroencephalography recordings are diagnostic biomarkers for refractory epilepsy. …”
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Parietofrontal network upregulation after motor stroke by M. Bönstrup, R. Schulz, G. Schön, B. Cheng, J. Feldheim, G. Thomalla, C. Gerloff

“…Methods: We investigated stroke lesion-induced changes in functional connectivity by measuring high-density electroencephalography (EEG) and assessing task-related changes in coherence during a visually guided grip task with the paretic hand in 30 chronic stroke patients with variable motor deficits and 19 healthy control subjects. …”
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Long-term resting EEG correlates of repetitive mild traumatic brain injury and loss of consciousness: alterations in alpha-beta power by Laura M. Franke, Robert A. Perera, Scott R. Sponheim, Scott R. Sponheim

“…It is also unclear how any chronic EEG changes may underlie either subjective or objective cognitive difficulties, which might help explain the variability in recovery after mTBI.MethodsThis study included resting-state high-density electroencephalography (EEG) and mTBI injury data from 340 service members and veterans collected on average 11 years after injury as well as measures of objective and subjective cognitive functioning. …”
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Effects of <i>Dendropanax morbiferus</i> Leaf Extract on Sleep Parameters in Invertebrate and Vertebrate Models by Kayoung Ko, Yejin Ahn, Ga Yeong Cheon, Hyung Joo Suh, Yun Jae Cho, Sung-Soo Park, Ki-Bae Hong

“…In addition, through the electroencephalography analysis of SD-rats, a significant increase in non-rapid-eye-movement sleep and delta waves was confirmed with high concentrations of DE administration. …”
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Micro SleepNet: efficient deep learning model for mobile terminal real-time sleep staging by Guisong Liu, Guoliang Wei, Shuqing Sun, Dandan Mao, Jiansong Zhang, Dechun Zhao, Xuelong Tian, Xing Wang, Nanxi Chen

“…We propose a lightweight and high-performance sleep staging model named Micro SleepNet, which takes a 30-s electroencephalography (EEG) epoch as input, without relying on contextual signals. …”
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Surface electromyography using dry polymeric electrodes by Nicolas Steenbergen, Ivan Busha, Alexis Morgan, Collin Mattathil, Arieh Levy Pinto, Fotios Spyridakos, Ivan Sokolovskiy, Bogachan Tahirbegi, Christopher Chapman, Estelle Cuttaz, Karina Litvinova, Josef Goding, Rylie Green

“…Conventional wet Ag/AgCl electrodes are widely used in electrocardiography, electromyography (EMG), and electroencephalography (EEG) and are considered the gold standard for biopotential measurements. …”
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Cortical connectomic mediations on gamma band synchronization in schizophrenia by Xiaoming Du, Stephanie Hare, Ann Summerfelt, Bhim M. Adhikari, Laura Garcia, Wyatt Marshall, Peng Zan, Mark Kvarta, Eric Goldwaser, Heather Bruce, Si Gao, Hemalatha Sampath, Peter Kochunov, Jonathan Z. Simon, L. Elliot Hong

“…Sixty-six patients with schizophrenia spectrum disorders and 85 age- and gender-matched healthy controls completed one electroencephalography session measuring 40 Hz ASSR and one imaging session for resting-state functional connectivity (rsFC) assessments. …”
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Neuropsychological features of patients of reproductive age diagnosed with breast cancer at the stage of surgical treatment using xenon-oxygen therapy by D. A. Rozenko, A. I. Shikhlyarova, L. N. Vaschenko, N. N. Popova, Yu. Yu. Arapova, A. Yu. Ardzha, A. A. Korobov

“…The functional state of the central nervous system in all patients was assessed by the parameters of the electroencephalography (EEG) bioelectrical activity. For the final assessment of the physiological and psychological state of the patients, a standardized questionnaires of the quality of life – ESAS, MOS-SF‑36, were used. …”
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Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure by Antonina Omisade, Garima Shukla, Benjamin Whatley, Gavin P Winston, Brooke C Beattie, Karla Batista García-Ramó, Krista Biggs, Lysa Boissé Lomax, Donald C Brien, Jason P Gallivan, Kristin Ikeda, Matthias Schmidt, Stephanie Woodroffe

“…Baseline evaluations of these factors following a UFS will enable the development of the first multimodal biomarker-based predictive model of seizure recurrence in adults with UFS.Methods and analysis 200 patients and 75 matched healthy controls (aged 18–65) from the Kingston and Halifax First Seizure Clinics will undergo neuropsychological assessments, structural and functional MRI, and electroencephalography. Seizure recurrence will be assessed prospectively. …”
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Multiple mechanisms link prestimulus neural oscillations to sensory responses by Luca Iemi, Niko A Busch, Annamaria Laudini, Saskia Haegens, Jason Samaha, Arno Villringer, Vadim V Nikulin

“…To test this hypothesis, we recorded electroencephalography in humans during stimulation with identical visual stimuli and analyzed how prestimulus neural oscillations modulate different stages of sensory processing reflected by distinct components of the event-related potential (ERP). …”
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Home-based transcranial alternating current stimulation (tACS) in Alzheimer’s disease: rationale and study design by Daniele Altomare, Alberto Benussi, Valentina Cantoni, Enrico Premi, Jasmine Rivolta, Chiara Cupidi, Alessandro Martorana, Emiliano Santarnecchi, Alessandro Padovani, Giacomo Koch, Barbara Borroni

“…The study outcomes will be collected at several timepoints throughout the study duration and include information on safety and feasibility, neuropsychological assessment, blood sampling, electroencephalography, transcranial magnetic stimulation neurotransmitter measures, and magnetic resonance imaging or amyloid positron emission tomography. …”
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Brain signatures of chronic gut inflammation by Caitlin V. Hall, Caitlin V. Hall, Caitlin V. Hall, Graham Radford-Smith, Graham Radford-Smith, Graham Radford-Smith, Emma Savage, Conor Robinson, Luca Cocchi, Luca Cocchi, Rosalyn J. Moran

“…Here, we used electroencephalography (EEG) to characterise changes in spontaneous spatiotemporal brain states in Crohn’s Disease (CD) (n = 40) and Ulcerative Colitis (UC) (n = 30), compared to healthy individuals (n = 28). …”
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Technological Vanguard: the outstanding performance of the LTY-CNN model for the early prediction of epileptic seizures by Yang Yang, Tianyun Luan, Zhangjun Yu, Min Zhang, Fengtian Li, Xing Chen, Fei Gao, Zhijun Zhang

“…Characterized by unpredictable neural electrical activity abnormalities, it results in seizures with varying intensity levels. Electroencephalography (EEG), as a crucial technology for monitoring and predicting epileptic seizures, plays an essential role in improving the quality of life for people with epilepsy. …”
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Odd-even oddball task: Evaluating event-related potentials during word discrimination compared to speech-token and tone discrimination by Marcus Voola, Marcus Voola, An T. Nguyen, Welber Marinovic, Gunesh Rajan, Gunesh Rajan, Dayse Tavora-Vieira, Dayse Tavora-Vieira, Dayse Tavora-Vieira

“…This study comprises of two experiments, both containing thirteen adults with normal hearing in both ears (PTA ≤ 20 dB HL). Scalp electroencephalography and auditory event related potentials were recorded in free field while they completed three different oddball tasks: (1) tones, (2) speech tokens and (3) odd/even numbers. …”
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Interictal Heart Rate Variability as a Biomarker for Comorbid Depressive Disorders among People with Epilepsy by Guliqiemu Aimaier, Kun Qian, Zishuo Zheng, Weifeng Peng, Zhe Zhang, Jing Ding, Xin Wang

“…For each subject, we performed simultaneous electrocardiography and electroencephalography recordings both in wakefulness and non-rapid eye movement (NREM) sleep stage. …”
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Somatosensory Event-Related Potential as an Electrophysiological Correlate of Endogenous Spatial Tactile Attention: Prospects for Electrotactile Brain-Computer Interface for Sensor... by Marija Novičić, Andrej M. Savić

“…Tactile attention tasks are used in the diagnosis and treatment of neurological and sensory processing disorders, while somatosensory event-related potentials (ERP) measured by electroencephalography (EEG) are used as neural correlates of attention processes. …”
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EEG-based finger movement classification with intrinsic time-scale decomposition by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…IntroductionBrain-computer interfaces (BCIs) are systems that acquire the brain's electrical activity and provide control of external devices. Since electroencephalography (EEG) is the simplest non-invasive method to capture the brain's electrical activity, EEG-based BCIs are very popular designs. …”
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