Cytokine and Growth Factor Activation In Vivo and In Vitro after Spinal Cord Injury by Elisa Garcia, Jorge Aguilar-Cevallos, Raul Silva-Garcia, Antonio Ibarra

“…These mechanisms include the disruption of the spinal cord blood barrier, edema and ion imbalance, in particular intracellular calcium and sodium concentrations, glutamate excitotoxicity, free radicals, and the inflammatory response contributing to the neurodegenerative process which is characterized by demyelination and apoptosis of neuronal tissue.…”
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Transcriptional Control of Synaptic Plasticity by Transcription Factor NF-κB by Christian Engelmann, Ronny Haenold

“…All components of this signaling pathway are localized at synapses, and transcriptionally active NF-κB dimers move to the nucleus to translate synaptic signals into altered gene expression. Neuron-specific inhibition results in altered connectivity of excitatory and inhibitory synapses and functionally in selective learning deficits. …”
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The Role of the Innate Immune System in Alzheimer’s Disease and Frontotemporal Lobar Degeneration: An Eye on Microglia by Elisa Ridolfi, Cinzia Barone, Elio Scarpini, Daniela Galimberti

“…They are extremely sensitive to the environmental changes in the brain and are activated in response to several pathologic events within the CNS, including altered neuronal function, infection, injury, and inflammation. …”
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Microglia and Spinal Cord Synaptic Plasticity in Persistent Pain by Sarah Taves, Temugin Berta, Gang Chen, Ru-Rong Ji

“…Insights into microglial-neuronal interactions in the spinal cord dorsal horn will not only further our understanding of neural plasticity but may also lead to novel therapeutics for chronic pain management.…”
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Hippocampal Neurogenesis and Antidepressive Therapy: Shocking Relations by Peter Rotheneichner, Simona Lange, Anna O’Sullivan, Julia Marschallinger, Pia Zaunmair, Christian Geretsegger, Ludwig Aigner, Sebastien Couillard-Despres

“…Speculations on the involvement of hippocampal neurogenesis, a form of neuronal plasticity, in the aetiology of depression and the mode of action of antidepressive therapies, started to arise more than a decade ago. …”
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Adaptive Neural Network Motion Control of Manipulators with Experimental Evaluations by S. Puga-Guzmán, J. Moreno-Valenzuela, V. Santibáñez

“…A nonlinear proportional-derivative controller plus adaptive neuronal network compensation is proposed. With the aim of estimating the desired torque, a two-layer neural network is used. …”
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Multi-omics analysis reveals the interplay between intratumoral bacteria and glioma by Ting Li, Zhanyi Zhao, Meichang Peng, Lu Zhang, Cheng Wang, Feiyang Luo, Meiqin Zeng, Kaijian Sun, Zhencheng Fang, Yunhao Luo, Yugu Xie, Cui Lv, Jiaxuan Wang, Jian-Dong Huang, Hongwei Zhou, Haitao Sun

“…Further mediation analysis suggested that the intratumoral microbiome may affect the expression of neuron-related genes through bacteria-associated metabolites. …”
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The Role of Mast Cells in Irritable Bowel Syndrome by Kang Nyeong Lee, Oh Young Lee

“…As a gatekeeper at the interface, mast cells communicate with the adjacent cells such as epithelial, neuronal, and other immune cells throughout the mediators released when they themselves are activated. …”
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Management of Spinocerebellar Ataxia through Ayurveda—A Case Report by Punam Sawarkar, Natasha Yadav, Gaurav Sawarkar

“…He underwent a comprehensive regimen, including full-body massage with herbal poultices (Patrapottali and Shashtishali Swedana), nasal instillation with medicated oil (Marsha Nasya), and a medicated enema with decoctions and oil, along with oral medications, such as Yogaraja Guggulu, Rasnasaptaka Qwath, Cap Neuron Plus, Agnitundi Vati, and Mahavatavidhwansa Rasa, for two months. …”
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Palmitoylation as a Functional Regulator of Neurotransmitter Receptors by Vladimir S. Naumenko, Evgeni Ponimaskin

“…The majority of neuronal proteins involved in cellular signaling undergo different posttranslational modifications significantly affecting their functions. …”
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Therapeutic Application of rTMS in Atypical Parkinsonian Disorders by Chrysi Petsani, Athina-Maria Aloizou, Vasileios Siokas, Lambros Messinis, Eleni Peristeri, Christos Bakirtzis, Grigorios Nasios, Efthimios Dardiotis

“…The terms atypical parkinsonian disorders (APDs) and Parkinson plus syndromes are mainly used to describe the four major entities of sporadic neuronal multisystem degeneration: progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), multiple system atrophy (MSA), and dementia with Lewy bodies (LBD). …”
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DNA methylation, histone acetylation in the regulation of memory and its modulation during aging by Padmanabh Singh, Vijay Paramanik

“…Memory formation is associated with constant modifications of neuronal networks and synaptic plasticity gene expression in response to different environmental stimuli and experiences. …”
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Application of Sports Clustering Deconstruction Based on Neural Network by Xiaobing Ma

“…Then, a knowledge framework was formed by simulating a large number of human brain neuron structures, which can solve the problems existing in the motion cluster analysis to a certain extent. …”
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COMPLEX SYMBOL "MIND" AND THE EPISTEMOLOGICAL RELATIVISM by Gintautas Mažeikis

“…There are short interpretations of various types of symbol "Mind": "the first cause of movement", "basis of being", "force of salvation", "strenght of harmonizing of cosmos", "creative power of form of thinking", "basis of structure of Ego", "product of connections of neurones", "expression of social and natural relations". …”
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approach to calculate the transcript capacity by Young-Sup Lee, Kyung-Hye Won, Jae-Don Oh, Donghyun Shin

“…The most frequent GOs with the highest TC were neuronal-related and cell projection organization related. …”
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A riboflavin-responsive neuronopathy with unique characteristics: Brown-Vialetto- Van Laere syndrome by Soreya BELARBI, Samira Makri MOKRANE

“…Sometimes the clinical spectrum mimics juvenile-onset motor neuron disease (MND). It is important to identify BVVLS that may respond to high doses of riboflavin. …”
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Potential Role of Drebrin A, an F-Actin Binding Protein, in Reactive Synaptic Plasticity after Pilocarpine-Induced Seizures: Functional Implications in Epilepsy by Lotfi Ferhat

“…Developmentally regulated brain protein (drebrin A) is one of the most abundant neuron-specific binding proteins of F-actin and its expression is increased in parallel with synapse formation. …”
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Acetylcholine in irritable bowel syndrome pathogenesis and the role of cholineblockers by Yu. O. Shulpekova

“…The important place in regulation of gastro-intestinal tract functions belongs not only to M-, but also to N-receptors localized in enteral plexus ganglions and on presynaptic endings of cholinergic motor neurones. Acetylcholine is the universal mediator which is intimately interacts with other mediators regulating intestinal functions. …”
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Histone Deacetylase Inhibitors in Cell Pluripotency, Differentiation, and Reprogramming by Androniki Kretsovali, Christiana Hadjimichael, Nikolaos Charmpilas

“…In addition, they can promote directed differentiation of embryonic and tissue-specific stem cells along the neuronal, cardiomyocytic, and hepatic lineages. They have been used to facilitate embryo development following somatic cell nuclear transfer and induced pluripotent stem cell derivation by ectopic expression of pluripotency factors. …”
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Flood Forecasting for Small Reservoirs Based on Neural Networks by PENG Wei, XIONG Jiayi, JIANG Xianqun, GAO Yueming

“…In flood forecasting,empirical prediction methods report low accuracy,and traditional hydrological models face the problems of large workloads and difficult promotion when they are applied to small reservoirs.Hence,an artificial neural network (ANN) method is introduced,which is equipped with powerful feature-learning capability.It is combined with the genetic algorithm (GA) to find the optimal parameters for flood forecasting of small reservoirs as GA can realize automatic optimization of the time step and hidden-layer neuron nodes in ANN.In this way,parameter search can be targeted,and personalized flood forecasting models can be constructed for each small reservoir.In addition,the flood forecasting models based on the back propagation (BP),long short-term memory (LSTM),and gated recurrent unit (GRU) neural networks are built,and comparisons between simulations and measured data are conducted for the flood process.The results show that the LSTM model has high prediction accuracy and good stability and can learn and simulate the water-level change pattern of the actual flood process,demonstrating better prediction performance than BP and GRU models.…”
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