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Research and Reviews: A Journal of Neuroscience Cover

Research and Reviews: A Journal of Neuroscience

E-ISSN: 2277-6427 | P-ISSN: 2348-7925 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Research & Reviews: 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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Journal Information

Title: Research and Reviews: A Journal of Neuroscience
Abbreviation: rrjons
Issues Per Year: 3 Issues
P-ISSN: 2348-7925
E-ISSN: 2277-6427
Publisher: STM Journals
DOI: 10.37591/RRJoNS
Starting Year: 2011
Subject: Neuroscience
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

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

Ahead of Print

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

Past Life Regression and Psychiatry: A Critical Analysis

Past Life Regression (PLR) is a controversial therapeutic approach. It is done through hypnosis, which recovers memories of previous lives.

Past Life Regression, Hypnotherapy, Psychotherapy, Psychiatry and Cognitive Psychology.