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Research and Reviews: A Journal of Neuroscience

rrjons | E-ISSN: 2277-6427 | Peer-Reviewed | Hybrid Open Access

About the Journal

Research and Reviews: A Journal of Neuroscience [2277-6427(e)] is a peer-reviewed hybrid open access journal launched in 2011 and focused on the rapid publication of fundamental research papers on all areas of neurosciences. The scope of neuroscience has broadened to include different approaches used to study the molecular, cellular, developmental, structural, functional, evolutionary, computational, and medical aspects of the nervous system.

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Research & Reviews: A Journal of Neuroscience (RRJONS): 2277-6427(e) is a peer-reviewed hybrid open access journal launched in 2011 and focused on the rapid publication

Journal Information

Title:
Research & Reviews: A Journal of Neuroscience
Abbreviation:
RRJONS
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2277-6427
Publisher:
116314
DOI:
10.37591/RRJoNS
Starting Year:
2011
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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rrjons maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Praveen Kumar Yadav, Consultant Neurologist

The Mission Hospital, West Bengal-, India,

Email :

Institutional Profile Link:

Journal: Research and Reviews: A Journal of Neuroscience

Latest Articles

A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis

Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures.

Autoencoder, clinical data analysis, convolutional neural network, deep learning, early detection, efficientnet, medical diagnostics, MRI brain imaging, neural network architecture, neuroimaging, transfer learning

Kisunla (Donanemab): A Novel Breakthrough Illuminating a Path to Better Alzheimer’s Outcomes

Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive decline, memory loss, and loss of independence.

Alzheimer’s disease, amyloid-beta, disease-modifying therapy, Donanemab, Kisunla, monoclonal antibody

Alzheimer’s Disease Classification Based on Transfer Learning of New-CNN Model

The long-term, irreversible brain disorder “Alzheimer’s disease (AD)” currently has no known cure. Nonetheless, current medications may impede their advancement.

Alzheimer disease (AD), classification, convolutional neural network (CNN), detection, deep learning (DL), brain disease

A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges

Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population.

Parkinson’s disease (PD), neurodegenerative disorder, dopaminergic neurons, substantia nigra, motor symptoms, early diagnosis, therapeutic intervention, quality of life, artificial intelligence (AI)

Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach

Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss.

Alzheimer’s disease, Convolutional Neural Networks, deep learning, MRI, neuroimaging, early diagnosis, medical image analysis, mild cognitive impairment, automatic classification, neurodegenerative disorders

Effectiveness of a Dental Exercise Protocol in Improving Forward Head Posture: A Case Series in Young Adults

Forward Head Posture (FHP) is a common postural disorder in young adults, often exacerbated by extended screen time and poor ergonomic practices.

Forward Head Posture, Craniovertebral Angle, Mandibular Exercises, Temporomandibular Joint, Neck Disability Index

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