Reduced white matter integrity and disrupted brain network in children with type 2 and 3 spinal muscular atrophy by Huirong Nie, Shasha Lan, Huan Wang, Pei Xiang, Mengzhen Yan, Yang Fan, Wanqing Shen, Yijuan Li, Wen Tang, Zhiyun Yang, Yujian Liang, Yingqian Chen

“…Abstract Background Spinal muscular atrophy (SMA) is caused by reduced expression of survival motor neuron (SMN) protein. Previous studies indicated SMA causes not only lower motor neuron degeneration but also extensive brain involvement. …”
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Bimelic Hirayama Disease: Clinical Dilemma Solved by Imaging by Shalabh Jain, Siddharth Yadav, Swarna Gupta, Ritu Gupta

“…On the basis of clinical examination, a provisional diagnosis of lower motor neuron type of symmetrical distal weakness due to heavy metal intoxication was kept. …”
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Prediction Study on PCI Failure of Reactor Fuel Based on a Radial Basis Function Neural Network by Xinyu Wei, Jiashuang Wan, Fuyu Zhao

“…For the purpose of the appropriate network complexity and overall computational efficiency, the hidden neurons in the RBFNN can be changed online based on the neuron activity and mutual information. …”
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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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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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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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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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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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ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel by Abdelhalim ALLAOUI, Abdelmoumene GUEDRI, Lamia DARSOUNI, Abderrazek DARSOUNI

“…The optimal ANN model was developed using Levenberg-Marquardt algorithm, and vas formed with two hidden layers with ten neurons in the first and ten neurons in the second. …”
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Neuromodulation with chemicals: Opportunities and challenges by Yifei Pan, Cong Pan, Lanqun Mao, Ping Yu

“…By regulating the concentration of specific chemicals, receptors on the neuron cell membrane can be modulated to activate or inhibit, thereby influencing specific ion channels and facilitating neuromodulation. …”
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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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A Design Space Exploration Framework for ANN-Based Fault Detection in Hardware Systems by Andreas G. Savva, Theocharis Theocharides, Chrysostomos Nicopoulos

“…Synthesis results indicate an estimated amount of 0.0523 mW power consumption per neuron for the implemented ANN when computing a complete cycle.…”
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Thinking through and about anthropomorphic figurines. A cognitive and neuroarchaeological approach to the study of peak sanctuary practices by Anastasia Chrysanthi Solomou

“…This study focuses on the clay anthropomorphic figurines, following a neuroarchaeological and cognitive approach, drawing on neurological studies regarding the function and neurological and mental sequalae of mirror neuron activation, as well as concepts of material engagement, and the use of the figurines as a form of shared exographic memory system. …”
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RAEF: An Imputation Framework Based on a Gated Regulator Autoencoder for Incomplete IIoT Time-Series Data by Jianyong Zhao, Jiachen Qiu, Danfeng Sun, Baiping Chen

“…Based on a recurrent autoencoder, RAEF houses a novel neuron structure, called a gated regulator, which reduces the negative impact of different missing patterns. …”
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Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay by Alia Bibi, Fei Xu, Henry N. Adorna, Francis George C. Cabarle

“…In this work, we consider the family of spiking neural P systems with scheduled synapses working in the sequential mode: at each step the neuron(s) with the maximum/minimum number of spikes among the neurons that can spike will fire. …”
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Hyperbaric Oxygen Therapy Increases Brain-Derived Neurotrophic Factor as well as Decreases Systemic Immune-Inflammatory Index and Systemic Inflammatory Response Index in Autism Sp... by Verna Biutifasari, Ni Komang Sri Dewi Untari, Pramita Anindya Nugraheni, Ronald Pratama Adiwinoto, Djatiwidodo Edi Pratiknya, Vendra Setiawan, Hartono Kahar, Betty Agustina Tambunan

“…Brain-derived neurotrophic factor (BDNF) is involved in the maintenance of neuron viability, as well as in neuron differentiation. …”
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FGF21 acts in the brain to drive macronutrient-specific changes in behavioral motivation and brain reward signaling by Md Shahjalal H. Khan, Sora Q. Kim, Robert C. Ross, Florina Corpodean, Redin A. Spann, Diana A. Albarado, Sun O. Fernandez-Kim, Blaise Clarke, Hans-Rudolf Berthoud, Heike Münzberg, David H. McDougal, Yanlin He, Sangho Yu, Vance L. Albaugh, Paul L. Soto, Christopher D. Morrison

“…Fiber photometry recording of VTA dopamine neurons revealed that oral delivery of maltodextrin triggered a larger dopamine neuron activation than casein in control diet-fed mice, while casein triggered a larger activation in low-protein diet-fed mice. …”
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Prediction of Compressive Strength Behavior of Ground Bottom Ash Concrete by an Artificial Neural Network by Kraiwut Tuntisukrarom, Raungrut Cheerarot

“…The optimal ANN model had an architecture with two hidden layers, with six neurons in the first hidden layer and one neuron in the second hidden layer. …”
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Mammalian Cochlear Hair Cell Regeneration and Ribbon Synapse Reformation by Xiaoling Lu, Yilai Shu, Mingliang Tang, Huawei Li

“…To have normal hearing function, the regenerated HCs must be reinnervated by nerve fibers and reform ribbon synapse with the dendrite of spiral ganglion neuron through nerve regeneration. In this review, we discuss the research progress in HC regeneration, the synaptic plasticity, and the reinnervation of new regenerated HCs in mammalian inner ear.…”
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A high-performance GRAB sensor reveals differences in the dynamics and molecular regulation between neuropeptide and neurotransmitter release by Xiju Xia, Yulong Li

“…Abstract The co-existence and co-transmission of neuropeptides and small molecule neurotransmitters within individual neuron represent a fundamental characteristic observed across various species. …”
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