Subjects were divided into two equal groups 35 healthy subjects each. Formation of the visual set to facial emotion recognition was supplemented with two types of additional task: either visuospatial (to find a target stimulus among others) or verbal (to tell a word from a pseudoword). The results of the experiments were compared to those obtained in similar experiments without the memory load. Changes in the EEG beta rhythm during visual set forming and testing were studied. The EEG was analyzed by wavelet transformation. Changes in the mean level, maximum and latency of the maximum of wavelet coefficient were rated at different stages of the experiment. All these characteristics for the beta rhythm were higher in experiments with both types of additional memory load as compared to those without the memory load.
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Vaccines (Basel)
December 2024
The Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Annex to Seoul Saint Mary Hospital, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea.
Background: Influenza remains a significant public health challenge, with vaccination being a substantial way to prevent it. Cell-cultured influenza vaccines have emerged to improve on the drawbacks of egg-based vaccines, but there are few studies focusing on T cell immunity with both types of vaccines. Therefore, we studied the following 2022-2023 seasonal influenza vaccines with a standard dose and high dose: cell-based (C_sd and C_hd) and egg-based (E_sd and E_hd) vaccines.
View Article and Find Full Text PDFUnlabelled: While visual working memory (WM) is strongly associated with reductions in occipitoparietal 8-12 Hz alpha power, the role of 4-7 Hz frontal midline theta power is less clear, with both increases and decreases widely reported. Here, we test the hypothesis that this theta paradox can be explained by non-oscillatory, aperiodic neural activity dynamics. Because traditional time-frequency analyses of electroencephalopgraphy (EEG) data conflate oscillations and aperiodic activity, event-related changes in aperiodic activity can manifest as task-related changes in apparent oscillations, even when none are present.
View Article and Find Full Text PDFFront Immunol
January 2025
State Key Laboratory for Animal Disease Control and Prevention & Lanzhou Center for Tuberculosis Research, Institute of Pathogen Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Introduction: Vaccines against intracellular pathogens like require the induction of effective cell-mediated immunity. Adjuvants primarily enhance antigen-induced adaptive immunity by promoting the activation of antigen-presenting cells (APCs).This study is to develop an adjuvant targeted to dendritic cells (DCs), one of the main APCs, so as to assist in inducing a long-term cellular immune response to protein antigens.
View Article and Find Full Text PDFBrain Commun
January 2025
Normandie Univ, UNICAEN, INSERM, U1237, PhIND 'Physiopathology and Imaging of Neurological Disorders', Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000 Caen, France.
Four important imaging biomarkers of Alzheimer's disease, namely grey matter atrophy, glucose hypometabolism and amyloid-β and tau deposition, follow stereotypical spatial distributions shaped by the brain network of structural and functional connections. In this case-control study, we combined several predictors reflecting various possible mechanisms of spreading through structural and functional pathways to predict the topography of the four biomarkers in amyloid-positive patients while controlling for the effect of spatial distance along the cortex. For each biomarker, we quantified the relative contribution of each predictor to the variance explained by the model.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Information Systems, College of Computing and Informatics, The University of Sharjah, Sharjah, UAE.
This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance the understanding and optimization of fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. The incorporation of nanotechnology, through the addition of nanoparticles to conventional fuels, improves fuel atomization, combustion efficiency, and emission control. Simultaneously, LSTM models are employed to analyze and predict the complex spray behavior under diverse operational and geometric conditions.
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