Neuroscience
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The prevalence of neurodegenerative disease has increased as an outcome of the aging population, and effective clinical treatments for such diseases are lacking. Endoplasmic reticulum dysfunction has been identified as a causative factor in various neurological disorders. ⋯ Herein, we focus on the multifaceted nature of IRE1α-XBP1 signaling and provide a detailed overview of the latest findings regarding its biological relevance in brain physiology and neurodegenerative disease pathobiology. Moreover, the possible pharmacological targets in the IRE1α-XBP1 axis are discussed.
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Melatonin (MT) has been reported to control and prevent Alzheimer's disease (AD) in the clinic; however, the effect and mechanism of MT on AD have not been specifically described. Therefore, the main purpose of this meta-analysis was to explore the effect and mechanism of MT on AD models by studying behavioural indicators and pathological features. Seven databases were searched and 583 articles were retrieved. ⋯ Among the pathological features, subgroup analysis found that MT may ease the symptoms of AD mainly by reducing the deposition of Aβ40 and Aβ42 in the cortex. In addition, MT exerted a superior effect on ameliorating the learning ability of senescence-related and metabolic AD models, and corrected the memory deficit of the toxin-induced AD model. The study was registered at PROSPERO (CRD42021226594).
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Depressive disorder is the leading cause of disability worldwide, yet the mechanisms underlying depression are not fully understood. Vesicle release is essential for synaptic neurotransmission, the abnormalities of vesicle release and synaptic plasticity are associated with various neuropsychiatric disorders. ⋯ To some extent, depression may be caused by a disruption in the structural and functional connections of the neural circuits underlying emotion regulation. In this review, we summarized the role of abnormalities of vesicle release and synaptic transmission, as well as the related regulatory molecules and signal pathways in the regulation of depression.
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Because of different mechanism of electro-signaling in myelinated axons than in dendrites or unmyelinated axons, the role of the myelin needs to be reconsidered upon new premises in distinction to conventional cable model. It occurs that the latter model is inapplicable for so-called saltatory conduction in myelinated axons and the former imagination on the role of the myelin based on the cable model is confusing. ⋯ This is of particular importance for better understanding of malfunctions of neuron communication due to demyelination diseases and for the strategy of future therapy methods at paralysis and at demyelination syndromes. The new mechanism of signaling in myelinated neurons is also supported by recent advances in recognition of so-called micro-saltatory conduction in C-fibers of pain sensation, also exceeding the range of applicability of the conventional cable model.
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Electroencephalography (EEG) signals are nonlinear and non-stationary sequences that carry much information. However, physiological signals from other body regions may readily interfere with EEG signal capture, having a significant unfavorable influence on subsequent analysis. Therefore, signal denoising is a crucial step in EEG signal processing. ⋯ We compared the proposed model with a fully connected network (FCNN), the one-dimensional residual convolutional neural network (1D-ResCNN), and a recurrent neural network (RNN). The experimental results show that the proposed model can reconstruct a clear EEG waveform with a decent signal-to-noise ratio (SNR) and the relative root mean squared error (RRMSE) value. This study demonstrates the potential of BG-Attention in the pre-processing phase of EEG experiments, which has significant implications for medical technology and brain-computer interface (BCI) applications.