Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram by Chetna Gupta, Vikas Khullar, Nitin Goyal, Kirti Saini, Ritu Baniwal, Sushil Kumar, Rashi Rastogi

“…In this paper, a federated deep learning-based multimodal system for MDD classification using electroencephalography (EEG) and audio datasets is presented while meeting data privacy requirements. …”
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Preterm birth accelerates the maturation of spontaneous and resting activity in the visual cortex by Isabelle F. Witteveen, Emily McCoy, Emily McCoy, Troy D. Holsworth, Catherine Z. Shen, Winnie Chang, Madelyn G. Nance, Allison R. Belkowitz, Avery Dougald, Meghan H. Puglia, Meghan H. Puglia, Adema Ribic, Adema Ribic

“…To address this, we performed a cross-species study of the electrophysiological activity in the visual cortices of prematurely born infants and mice. Using electroencephalography (EEG) in a sample of healthy preterm (N = 29) and term (N = 28) infants, we found that the maturation of the aperiodic EEG component was accelerated in the preterm cohort, with a significantly flatter 1/f slope when compared to the term infants. …”
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Event Related Potential Signal Capture Can Be Enhanced through Dynamic SNR-Weighted Channel Pooling by Sujoy Ghosh Hajra, Careesa C. Liu, Shaun D. Fickling, Gabriela M. Pawlowski, Xiaowei Song, Ryan C. N. D’Arcy

“…Background: Electroencephalography (EEG)-derived event-related potentials (ERPs) provide information about a variety of brain functions, but often suffer from low inherent signal-to-noise ratio (SNR). …”
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Pediatric epilepsy surgery in patients with Lennox-Gastaut syndrome after viral encephalitis by Qingzhu Liu, Nan Wu, Chang Liu, Hao Yu, Yu Sun, Yao Wang, Guojing Yu, Shuang Wang, Shuang Wang, Taoyun Ji, Taoyun Ji, Xiaoyan Liu, Xiaoyan Liu, Yuwu Jiang, Yuwu Jiang, Lixin Cai

“…Preoperative evaluations included a detailed history, long-term video electroencephalography (VEEG), brain magnetic resonance imaging (MRI), positron emission tomography (PET) and a neuropsychological test. …”
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Efficacy of Cognition Support Formula® on cognitive function in older adults with subjective cognitive impairment: a protocol for a 26-week, randomised, double-blind, placebo-contr... by Adele E. Cave, Dennis H. Chang, Gerald W. Münch, Genevieve Z. Steiner

“…Neurocognition will be measured by electroencephalography at baseline and at the endpoint in half of the participants. …”
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One size does not fit all: notable individual variation in brain activity correlates of antidepressant treatment response by Gwen van der Wijk, Yaruuna Enkhbold, Kelsey Cnudde, Matt W. Szostakiwskyj, Pierre Blier, Pierre Blier, Verner Knott, Verner Knott, Natalia Jaworska, Natalia Jaworska, Andrea B. Protzner, Andrea B. Protzner, Andrea B. Protzner

“…IntroductionTo date, no robust electroencephalography (EEG) markers of antidepressant treatment response have been identified. …”
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Eyes-state-dependent alterations of magnetoencephalographic connectivity associated with delayed recall in Alzheimer’s disease via graph theory approach by Keigo Yuasa, Tetsu Hirosawa, Daiki Soma, Naoki Furutani, Masafumi Kameya, Masuhiko Sano, Koji Kitamura, Minehisa Ueda, Mitsuru Kikuchi

“…IntroductionAlzheimer’s disease (AD) is a neurodegenerative disorder characterized by memory impairment and cognitive decline. Electroencephalography (EEG) and magnetoencephalography (MEG) studies using graph theory show altered “Small-Worldness (SW)” properties in AD. …”
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Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data by Prejaas K.B. Tewarie, Rikkert Hindriks, Yi Ming Lai, Stamatios N Sotiropoulos, Morten Kringelbach, Gustavo Deco

“…Characterising brain states during tasks is common practice for many neuroscientific experiments using electrophysiological modalities such as electroencephalography (EEG) and magnetoencephalography (MEG). …”
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EMPT: a sparsity Transformer for EEG-based motor imagery recognition by Ming Liu, Yanbing Liu, Weiyou Shi, Yitai Lou, Yuan Sun, Qi Meng, Dezheng Wang, Fangzhou Xu, Yang Zhang, Lei Zhang, Jiancai Leng

“…The self-attention mechanism finds a good solution for feature coding among multiple channels of electroencephalography (EEG) signals. However, using the self-attention mechanism to construct models on EEG data suffers from the problem of the large amount of data required and the complexity of the algorithm.MethodsWe propose a Transformer neural network combined with the addition of Mixture of Experts (MoE) layer and ProbSparse Self-attention mechanism for decoding the time-frequency-spatial domain features from motor imagery (MI) EEG of spinal cord injury patients. …”
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Short-term isolation effects on the brain, cognitive performance, and sleep—The role of exercise by Timo Klein, Timo Klein, Timo Klein, Timo Klein, Leonard Braunsmann, Jessica Koschate, Uwe Hoffmann, Tina Foitschik, Stephanie Krieger, Brian Crucian, Stefan Schneider, Stefan Schneider, Stefan Schneider, Vera Abeln, Vera Abeln

“…At the beginning and the end of each intervention, intravenous morning cortisol, melatonin, brain-derived neurotrophic factor and IGF-1, positive and negative affect scales, electroencephalography, cognitive function, and sleep patterns (actigraphy) were assessed. …”
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Comparing the Effect of Dexmedetomidine and Midazolam in Patients with Brain Injury by Yanxia Huang, Yunxin Deng, Renjing Zhang, Mei Meng, Dechang Chen

“…Whether dexmedetomidine reduces mortality or improves quantitative electroencephalography (qEEG) among patients post-craniotomy remains unclear. …”
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Combined Fainting and Psychogenic Non-epileptic Seizures as Significant Therapy Hurdles in Blood-Injury-Injection Phobia: A Mini-Review and Case Report by Iven-Alex von Mücke-Heim, Iven-Alex von Mücke-Heim, Isabelle Walter, Sandra Nischwitz, Angelika Erhardt, Angelika Erhardt

“…Neurological examination was ordinary. Repeated electroencephalography detected no epileptic pattern. Cranial magnetic resonance imaging showed normal morphology. …”
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Neural oscillations during acupuncture imagery partially parallel that of real needling by Hao Zhang, Hao Zhang, Qingxia Liu, Qingxia Liu, Menglin Yao, Zhiling Zhang, Xiu Chen, Xiu Chen, Hua Luo, Hua Luo, Lili Ruan, Lili Ruan, Tianpeng Liu, Yingshuang Chen, Jianghai Ruan, Jianghai Ruan

“…A 31-channel-electroencephalography was synchronously recorded for each subject. …”
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A multidimensional characterization of the neurocognitive architecture underlying age-related temporal speech processing by Stefan Elmer, Ira Kurthen, Martin Meyer, Nathalie Giroud

“…Accordingly, we combined structural magnetic resonance imaging and electroencephalography, and collected behavioral data while younger and older adults completed a phonetic categorization and discrimination task with consonant-vowel syllables varying along a voice-onset time continuum. …”
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Drug resistant epilepsy and associated factors among children with epilepsies in Tanzania: a cross-sectional study by Obrey H Urio, Edward Kija, Sarah Weckhuysen, Hilda Makungu, Helga Naburi

“…Data on demographic characteristics, perinatal history, detailed history of the seizures semiology, drug history, magnetic resonance imaging (MRI), and electroencephalography (EEG) results were obtained from caregivers and medical records available during recruitment. …”
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A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification by Hai Jia, Shiqi Yu, Shunjie Yin, Lanxin Liu, Chanlin Yi, Kaiqing Xue, Fali Li, Dezhong Yao, Peng Xu, Tao Zhang

“…Unfortunately, less subject information and low signal-to-noise ratio of MI electroencephalography (EEG) signals make it difficult to decode the movement intentions of users. …”
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Neurophysiological correlates of tactile width discrimination in humans by Carla Pais-Vieira, Mehrab K. Allahdad, André Perrotta, André S. Peres, André S. Peres, Carolina Kunicki, Carolina Kunicki, Mafalda Aguiar, Manuel Oliveira, Miguel Pais-Vieira

“…Width discrimination has been extensively studied in rodents, but not in humans.MethodsHere, we describe Electroencephalography (EEG) signals in humans performing a tactile width discrimination task. …”
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A comprehensive dataset for home appliance control using ERP-based BCIs with the application of inter-subject transfer learning by Jongmin Lee, Minju Kim, Dojin Heo, Jongsu Kim, Min-Ki Kim, Taejun Lee, Jongwoo Park, HyunYoung Kim, Minho Hwang, Laehyun Kim, Sung-Phil Kim

“…One of the non-invasive BCIs using electroencephalography (EEG) capitalizes on event-related potentials (ERPs) in response to target stimuli and have shown promise in controlling home appliance. …”
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Diagnostic value of an algorithm for autoimmune epilepsy in a retrospective cohort by Mitsuhiro Sakamoto, Mitsuhiro Sakamoto, Riki Matsumoto, Riki Matsumoto, Akihiro Shimotake, Jumpei Togawa, Hirofumi Takeyama, Hirofumi Takeyama, Katsuya Kobayashi, Frank Leypoldt, Klaus-Peter Wandinger, Takayuki Kondo, Ryosuke Takahashi, Akio Ikeda

“…The algorithm applied to assess the data of all patients consisted of two steps: evaluation of clinical features suggesting autoimmune epilepsy and evaluation using laboratory and imaging findings (abnormal CSF findings, hypermetabolism on fluorodeoxyglucose-positron emission tomography, magnetic resonance imaging abnormalities, and bilateral epileptiform discharges on electroencephalography). Patients were screened during the first step and classified into five groups according to the number of abnormal laboratory findings. …”
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Robot‐assisted stereoencephalography vs subdural electrodes in the evaluation of temporal lobe epilepsy by Mykola Gorbachuk, Kathrin Machetanz, Eliane Weinbrenner, Florian Grimm, Thomas V. Wuttke, Sophie Wang, Silke Ethofer, Marcos Tatagiba, Sabine Rona, Jürgen Honegger, Georgios Naros

“…Abstract Objective Invasive video‐electroencephalography (iVEEG) is the gold standard for evaluation of refractory temporal lobe epilepsy before second stage resective surgery (SSRS). …”
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