Asymmetric epileptic spasms after corpus callosotomy in children with West syndrome may be a good indicator for unilateral epileptic focus and subsequent resective surgery by Daiki Uchida, Tomonori Ono, Ryoko Honda, Yoshiaki Watanabe, Keisuke Toda, Shiro Baba, Takayuki Matsuo, Hiroshi Baba

“…We retrospectively reviewed their behavioral ES recorded at video‐electroencephalography monitoring before and after CC. Asymmetric neck flexion (NF) and involuntary muscular contraction of the upper and lower extremities (MCU and MCL, respectively) were primarily described correlating their laterality and the responsible hemisphere proved by surgical resection. …”
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Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection by Xucun Yan, Dongping Yang, Zihuai Lin, Branka Vucetic

“…However, seizure onset detection in electroencephalography (EEG) signals is a challenging task due to the non-stereotyped seizure activities as well as their stochastic and non-stationary characteristics in nature. …”
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Self-Regulation of Attention in Children in a Virtual Classroom Environment: A Feasibility Study by Carole Guedj, Rémi Tyrand, Emmanuel Badier, Lou Planchamp, Madison Stringer, Myriam Ophelia Zimmermann, Victor Férat, Russia Ha-Vinh Leuchter, Frédéric Grouiller

“…We propose a groundbreaking protocol that combines electroencephalography-based neurofeedback with virtual reality (VR) as an innovative approach to address attention deficits. …”
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Continuous shared control of a mobile robot with brain–computer interface and autonomous navigation for daily assistance by Baoguo Xu, Deping Liu, Muhui Xue, Minmin Miao, Cong Hu, Aiguo Song

“…Although the electroencephalography (EEG) based brain–computer interface (BCI) has been successfully developed for rehabilitation and assistance, it is still challenging to achieve continuous control of a brain-actuated mobile robot system. …”
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Using spontaneous eye blink-related brain activity to investigate cognitive load during mobile map-assisted navigation by Bingjie Cheng, Enru Lin, Anna Wunderlich, Klaus Gramann, Sara I. Fabrikant

“…To overcome this challenge, the present study takes advantage of navigators’ spontaneous eye blinks during navigation to serve as event markers in continuously recorded electroencephalography (EEG) data to assess cognitive load in a mobile map-assisted navigation task. …”
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Gamma frequency sensory stimulation in mild probable Alzheimer’s dementia patients: Results of feasibility and pilot studies by Diane Chan, Ho-Jun Suk, Brennan L. Jackson, Noah P. Milman, Danielle Stark, Elizabeth B. Klerman, Erin Kitchener, Vanesa S. Fernandez Avalos, Gabrielle de Weck, Arit Banerjee, Sara D. Beach, Joel Blanchard, Colton Stearns, Aaron D. Boes, Brandt Uitermarkt, Phillip Gander, Matthew Howard, Eliezer J. Sternberg, Alfonso Nieto-Castanon, Sheeba Anteraper, Susan Whitfield-Gabrieli, Emery N. Brown, Edward S. Boyden, Bradford C. Dickerson, Li-Huei Tsai

“…Our Phase 2A study demonstrated that chronic daily 40Hz light and sound GENUS was well-tolerated and that compliance was equally high in both the control and active groups, with participants equally inaccurate in guessing their group assignments prior to unblinding. Electroencephalography recordings show that our 40Hz GENUS device safely and effectively induced 40Hz entrainment in participants with mild AD dementia. …”
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EEG-Based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods by Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios Sarrigiannis

“…Many studies demonstrate the power of functional connectivity (FC) graph-based biomarkers for automated diagnosis of AD using electroencephalography (EEG). However, various FC measures are commonly utilised, as each aims to quantify a unique aspect of brain coupling. …”
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Prediction of personality traits based on electroencephalogram pattern in healthy people by Hasan Saborimoghaddam, Shahram Vahedi, Abbas shafaei

“…Aims: Considering the research gap, this study is designed and implemented with the aim of providing a neurophysiology method to determine the behavioral brain systems based on the data obtained from the electroencephalography analysis of people. Methods: The research method is correlational and based on regression equation modeling. …”
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Context effects on object recognition in real-world environments: A study protocol [version 2; peer review: 1 approved, 2 approved with reservations] by Benjamin Alsbury-Nealy, Victoria I. Nicholls, Alex Clarke, Alexandra Krugliak

“…Specifically, we will use mobile electroencephalography (mEEG) and augmented reality (AR) to investigate how the visual and semantic processing aspects of object recognition are changed by the environment. …”
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A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

“…Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). …”
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Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review by Sudip Paul, Maheshrao Maindarkar, Sanjay Saxena, Luca Saba, Monika Turk, Manudeep Kalra, Padukode R. Krishnan, Jasjit S. Suri

“…The best and worst architectures were “deep learning with sketches as outcomes” and “machine learning with Electroencephalography,” respectively. We recommend (i) the usage of power analysis in big data framework, (ii) that it must undergo scientific validation using unseen AI models, and (iii) that it should be taken towards clinical evaluation for reliability and stability tests. …”
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Non-invasive Vagus Nerve Stimulation in Treatment of Disorders of Consciousness – Longitudinal Case Study by Albertyna Osińska, Andrzej Rynkiewicz, Marek Binder, Tomasz Komendziński, Anna Borowicz, Antoni Leszczyński

“…We also took electrophysiological measures: resting state electroencephalography (EEG), heart rate (HR) and heart rate variability (HRV). …”
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Exploring EEG Emotion Recognition through Complex Networks: Insights from the Visibility Graph of Ordinal Patterns by Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian, Heng Li

“…The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. …”
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EISATC-Fusion: Inception Self-Attention Temporal Convolutional Network Fusion for Motor Imagery EEG Decoding by Guangjin Liang, Dianguo Cao, Jinqiang Wang, Zhongcai Zhang, Yuqiang Wu

“…The motor imagery brain-computer interface (MI-BCI) based on electroencephalography (EEG) is a widely used human-machine interface paradigm. …”
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Efficacy of bedside optic nerve sheath diameter measurement in differentiating provoked seizure from unprovoked seizure in the emergency department by Fevzi Yılmaz, Bedriye Muge Sonmez, Cemil Kavalci, Engin Deniz Arslan, Gulsum Caliskan, Inan Beydilli

“…DESIGN: Prospective observational study SETTINGS: Tertiary care hospital PATIENTS AND METHODS: Patients presenting to the ED with seizure were divided into two groups according to medical history, physical examination, laboratory results, cranial computed tomography findings and electroencephalography results. Patients with seizures that did not have a specific cause (unprovoked) were compared with patients who had seizures caused by underlying pathology (provoked). …”
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Association between electroencephalogram-based sleep characteristics and physical health in the general adult population by Masao Iwagami, Jaehoon Seol, Tetsuro Hiei, Akihiro Tani, Shigeru Chiba, Takashi Kanbayashi, Hideaki Kondo, Takashi Tanaka, Masashi Yanagisawa

“…Sleep characteristics were measured at home using a portable multichannel electroencephalography recorder. Using the k-means +  +  clustering method, according to 10 EEG-based parameters, participants were grouped into better (n = 39), middle (n = 46), and worse (n = 15) sleep groups. …”
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From pulse width modulated TENS to cortical modulation: based on EEG functional connectivity analysis by Armita Faghani Jadidi, Winnie Jensen, Ali Asghar Zarei, Eugen Romulus Lontis, S. Farokh Atashzar, S. Farokh Atashzar, S. Farokh Atashzar, S. Farokh Atashzar, S. Farokh Atashzar

“…Therefore, we recorded cortical activity using electroencephalography (EEG) from 12 healthy subjects and assessed the alternation of the functional connectivity at the cortex level up to an hour following the PWM TENS and compared that with the effect of conventional TENS. …”
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Reproductive Functions in Male Patients with Epilepsy by Can Çubuk, Mehmet Taylan Peköz, Hacer Bozdemir, Kezban Aslan

“…Serum hormones and biochemistry tests were also checked. Electroencephalography that was performed within the last 6 months and cerebral imaging anytime during the follow-up period were retrospectively evaluated. …”
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A Novel Noninvasive Approach Based on SPECT and EEG for the Location of the Epileptogenic Zone in Pharmacoresistant Non-Lesional Epilepsy by Karla Batista García-Ramó, Carlos A. Sanchez Catasus, Lilia Morales Chacón, Angel Aguila Ruiz, Abel Sánchez Corneaux, Pedro Rojas López, Jorge Bosh Bayard

“…<i>Background and objectives</i>: The aim of this study is to propose a methodology that combines non-invasive functional modalities electroencephalography (EEG) and single photon emission computed tomography (SPECT) to estimate the location of the epileptogenic zone (EZ) for the presurgical evaluation of patients with drug-resistant non-lesional epilepsy. …”
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More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas by Seyed Yahya Shirazi, Helen J. Huang

“…Electroencephalography (EEG) and source estimation can be used to identify brain areas activated during a task, which could offer greater insight on cortical dynamics. …”
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