Neuroscience
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Major depressive disorder (MDD) has demonstrated its negative impact on various aspects of the lives of those affected. Although several therapies have been developed over the years, it remains a challenge for mental health professionals. Thus, understanding the pathophysiology of MDD is necessary to improve existing treatment options or seek new therapeutic alternatives. ⋯ However, synaptic plasticity involves a cascade of events, including the action of presynaptic proteins such as synaptophysin and synapsins and postsynaptic proteins such as postsynaptic density-95 (PSD-95). Additionally, several factors can negatively impact the process of spinogenesis/neurogenesis, which are related to many outcomes, including MDD. Thus, this narrative review aims to deepen the understanding of the involvement of synaptic formations and their components in the pathophysiology and treatment of MDD.
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Inflammatory arthritis leads to peripheral nerve sensitization, but the therapeutic effect is often unsatisfactory. Our preliminary studies have found that in mice with inflammatory arthritis, the use of ionotropic glutamate receptor antagonists can produce a good analgesic effect without altering foot swelling, suggesting that pain relief may be related to the improvement of neuropathic pain. However, the underlying mechanisms remain unclear. ⋯ Mechanistic studies have shown that GBP treatment affects the downregulation of NR2B, and the downregulation of NR2B expression leads to the downregulation of TRPV1, pain-related molecules and inflammatory cytokines, thereby alleviating pain. These results suggest that in peripheral sensitization caused by AIA, GBP can play a role in improving pain, and NR2B may be a key target of peripheral nerve sensitization induced by inflammatory arthritis. GBP provides a theoretical basis for the clinical treatment of inflammatory arthritis.
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Brain-computer interface (BCI) is a technology that directly connects signals between the human brain and a computer or other external device. Motor imagery electroencephalographic (MI-EEG) signals are considered a promising paradigm for BCI systems, with a wide range of potential applications in medical rehabilitation, human-computer interaction, and virtual reality. Accurate decoding of MI-EEG signals poses a significant challenge due to issues related to the quality of the collected EEG data and subject variability. ⋯ We conducted experiments on the BCI Competition IV-2a and IV-2b datasets, and the proposed network outperformed the current state-of-the-art techniques with an accuracy of 84.58% and 90.94%, respectively, for the subject-dependent mode. In addition, we used t-SNE to visualize the features extracted by the proposed network, further demonstrating the effectiveness of the feature extraction framework. We also conducted extensive ablation and hyperparameter tuning experiments to construct a robust network architecture that can be well generalized.
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When performing synchronous hand and foot movements, the way the limbs are synchronized differs depending on the mode of control. When performed in a reaction time (RT) paradigm (reactive control), EMG onsets become synchronized resulting in asynchronous displacement onset. However, when the same movement is performed as an anticipation-timing task (predictive control), displacement onset is synchronized by unconsciously introducing a small delay between EMG onsets. ⋯ Results showed that when the auditory stimulus was delivered 250 ms before the target, participants were unable to switch to a reactive control mode but did switch when the auditory stimulus was presented 500 ms before the target. As expected, the RT on switch trials was substantially longer (∼230 ms) than a simple RT control condition but was also significantly longer (∼130 ms) than a choice RT control condition. These results indicate that switching between control modes for a task involving the same musculature incurs reprogramming costs that are even greater than the time required to program the response de novo.
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Noradrenergic neurons play a crucial role in the functioning of the nervous system. They formed compact small clusters in the central nervous system. To target noradrenergic neurons in combination with viral tracing and achieve cell-type specific functional manipulation using chemogenetic or optogenetic tools, new transgenic animal lines are needed, especially rat models for their advantages in large body size with facilitating easy operation, physiological parameter monitoring, and accommodating complex behavioral and cognitive studies. ⋯ Additionally, our specific activation of the LC noradrenergic neurons showed effective behavioral readout using chemogenetics of this rat line. Our results underscore the effectiveness and specificity of Cre recombinase in noradrenergic neurons, serving as a robust tool for cell-type specific targeting of small-sized noradrenergic nuclei. This approach enhances our understanding of their anatomical, physiological, and pathological roles, contributing to a more profound comprehension of noradrenergic neuron function in the nervous system.