Search
80 articles for “neuron”
-
A Comprehensive Review on Neturaceuticals in Alzheimer's and Neurodegenerative Disease an Cognitive Enhancement
Abstract: Neurodegenerative diseases, including Alzheimers disease (AD), Parkinsons disease (PD), and related cognitive disorders, represent a significant and growing public health challenge, particularly in aging populations. Despite advances in pharmacological treatments, therapeutic options for cognitive decline and neurodegeneration remain limited. Recent interest has shifted towards nutraceuticals— bioactive compounds derived from food or natural sources—as promising adjuncts or alternatives in the management of these conditions. This review examines how nutraceuticals can help …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 1–9 Read article
-
Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
-
Role of Nasya in Pakshaghata: An Evidence-Based Review Study on Its Anatomical Pathway and Therapeutic Action
Abstract: Introduction: Intranasal administration (Nasya), a time-honoured Ayurvedic procedure, offers a unique advantage in treating pathology of neurological and systemic diseases due to its targeted and non-invasive nature. Pakshaghata, a neurological disorder characterized by hemiplegia in ancient Ayurvedic literature, where it is classified as a Vatavyadhi. Methods: By going through all the available literatures and information, this review study explores the concept of Nasya in the context of Pakshaghata management, investigating …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 1–8 Read article
-
A Systematic Review on Diabetic Encephalopathy, Its Type & Biomarkers
Abstract: Diabetes and its complications become a major reason of morbidity and mortality associated with the changes of life style. Diabetic Encephalopathy is one of the complication of Diabetes Mellitus. The aim of this paper is to review the information on Diabetic Encephalopathy with emphasis on its etiology , pathogenesis and its treatment. Diabetic encephalopathy is the condition in which impairment of brain function occur. Diabetic encephalopathy is the complication of …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 98–117 Read article
-
Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
-
Samelisant, an H3 Receptor Agonist as an Anti-Alzheimer Potential – A Pilot Study on Molecular Docking
Abstract: Neurodegenerative diseases have become more prevalent and about 55 million of the population are affected by dementia globally. One of the most important neurodegenerative diseases is Alzheimer’s disease which is known for its effect on memory and cognitive impairment. Alzheimer’s disease (AD) is an area of intense scientific investigation due to its high prevalence and the lack of a definitive cure. Amyloid precursor protein plays a central role in Alzheimer’s …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
-
EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
-
Paediatric Epilepsy: Current Advances in Diagnosis and Management
Abstract: Paediatric epilepsy is one of the most common chronic neurological disorders of childhood, characterised by recurrent unprovoked seizures resulting from abnormal neuronal activity. Accurate diagnosis is essential and is based on a detailed clinical history, seizure semiology, neurological examination, and electroencephalography (EEG), with neuroimaging such as magnetic resonance imaging (MRI) used to identify structural abnormalities. Classification according to seizure type and underlying aetiology genetic, structural, metabolic, immune, infectious, or unknown—guides …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 53–68 Read article
-
Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
-
Engineering Anti-Tau Monoclonal Antibodies for Alzheimer’s Disease and Parkinsonian Tauopathies: A Biotechnological Perspective
Abstract: Neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease are characterized by progressive neuronal loss associated with abnormal protein aggregation. Among these, tauopathies are defined by the accumulation of hyperphosphorylated tau protein, which plays a central role in disease progression. Advances in biotechnology have enabled the development of anti-tau monoclonal antibodies (mAbs) as promising therapeutic agents aimed at neutralizing pathological tau species and inhibiting their propagation. This review provides a …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 52–58 Read article
-
Assessment of Knowledge Regarding Golden Hour of Stroke Among Individuals Attending Selected OPDs of a Tertiary Care Hospital
Abstract: “Time is brain” highlights the urgency of stroke management, as millions of neurons are lost each minute following an acute ischemic stroke. Globally, stroke is a leading cause of death and disability, with a significant burden in India, where nearly 1.8 million cases occur annually. Early treatment within the “golden hour” is critical to reduce mortality and long-term neurological damage. However, public awareness regarding early recognition and timely intervention remains …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 57–63 Read article
-
Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
-
Analysis of impact of Meditation on Cognitive Workload using EEG Signals
Abstract: AbstractMental activities can be indicated by the Cognitive workload which are useful in applications like Biomedical, Human Machine Interaction and Task analysis. The mental effort applied on the Working memory at a certain given time is commonly known as Cognitive load. The EEG Signals of Cognitive Workload can be studied and classified. The features such as Entropy, Energy, Power, etc. can be extracted from the EEG signals and processed using …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 29–39 Read article
-
A Survey on EEG Signals and Applications of EEG in Different Fields
Abstract: AbstractEEG being in trend for a last few decades is now being used in several different fields for different technological benefits. Brain Computer Interface is one of the useful applications of EEG Signals which gave rise to several other subfields like Marketing, Gaming etc. EEG signals are popularly used in medical fields as detection of neurological diseases has become simpler and cheaper because of multiple researches in EEG signals as …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 15–18 Read article
-
Simulation of Neural Network based PID Controller for Pressure Process
Abstract: This paper provides a Neural Network PID controller based on Back Propagation (BP) algorithm applied to pressure control in a tank. The controller has many advantages like that more convenient in parameter regulating, better robust. Neural network is to adjust the parameters of PID controller based on the operational status of the system, to achieve a better performance, making the output of the output neurons corresponding to the three adjustable …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 23–27 Read article
-
Prediction of Process Parameters of Friction Stir Welding Using Artificial Neural Network
Abstract: In this paper an artificial neural network (ANN) approach is used to predict the process parameters of friction stir welding (FSW). Initially, the experiments are conducted using the design of experiment (DoE) approach on FSW using L27 orthogonal array. The experiments are conducted using speed, feed, and tool tilt angle as input parameters for DoE and tensile strength, hardness, and ductility as output. ANN is created having 25 neurons and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 13–25 Read article
-
Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database
Abstract: Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with associated recurrent queue. Most of the earlier automatic incident detection algorithms address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using simulated incident database. Database for the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 1–14 Read article
-
Prevalence and Associated Factors of Attention Deficit Hyperactivity Disorder in School Age Children in Mekelle, Tigray, North Ethiopia, 2017
Abstract: Introduction: Attention-Deficit Hyperactivity Disorder is a neuron developmental disorder. African children are affected with this disorder which rates from 5.4 to 8.7%. This study aimed to assess the prevalence of attention-deficit hyperactivity disorder and its associated factors among school age children at Mekelle city, Tigray, Ethiopia, 2016/17. Method: Cross-sectional survey among 541 children at randomly selected institution was conducted between December 2016 and May 2017. Data were collected using structured …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 21–34 Read article
-
Lithium Induces Lower Specific Activity and Expression of Acetylcholinesterase in Old Aged Rats Brain and Liver for the Regulation of Acetyl Choline Cellular Signaling
Abstract: Acetylcholinesterase (AChE) acts on acetylcholine (ACh) to terminate its actions on the synaptic cleft by cleaving Ach to choline and acetate. This directly correlates with memory dysfunction and loss of cognitive functions in Alzheimer’s disease (AD) patients which was a continuous decline of the cholinergic neurotransmission in cortical and other regions of human brain. Specific activity and expression for AChEwere determined in LiCl2 treated young and old male wistar rat's …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 1–12 Read article
-
A Clinical Correlation Made Between Opioid-induced Hyperalgesia and Hyperkatifeia with Brain Alterations Induced by Long-term Prescription Opioid Use
Abstract: The goal of this article is to establish a correlation between the clinical manifestations of opioid-induced hyperalgesia and hyperkatifeia with the morphological and functional connectivity changes seen in the human brain that can be caused by long-term prescription opioid use. This will be accomplished by reviewing the imaging results found in a small but unique study that demonstrated morphological and functional connectivity changes in long-term prescription opioid users. The primary …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 2, Issue 2, 2012 · pp. 1–11 Read article