OBM Neurobiology is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. By design, the scope of OBM Neurobiology is broad, so as to reflect the multidisciplinary nature of the field of Neurobiology that interfaces biology with the fundamental and clinical neurosciences. As such, OBM Neurobiology embraces rigorous multidisciplinary investigations into the form and function of neurons and glia that make up the nervous system, either individually or in ensemble, in health or disease. OBM Neurobiology welcomes original contributions that employ a combination of molecular, cellular, systems and behavioral approaches to report novel neuroanatomical, neuropharmacological, neurophysiological and neurobehavioral findings related to the following aspects of the nervous system: Signal Transduction and Neurotransmission; Neural Circuits and Systems Neurobiology; Nervous System Development and Aging; Neurobiology of Nervous System Diseases (e.g., Developmental Brain Disorders; Neurodegenerative Disorders).

OBM Neurobiology  publishes a variety of article types (Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.). Although the OBM Neurobiology Editorial Board encourages authors to be succinct, there is no restriction on the length of the papers. Authors should present their results in as much detail as possible, as reviewers are encouraged to emphasize scientific rigor and reproducibility.

Publication Speed (median values for papers published in 2023): Submission to First Decision: 7.5 weeks; Submission to Acceptance: 15.9 weeks; Acceptance to Publication: 7 days (1-2 days of FREE language polishing included)

Current Issue: 2024  Archive: 2023 2022 2021 2020 2019 2018 2017

Special Issue

Artificial Intelligence in Neurobiology and Neurological Disorder

Submission Deadline: January 30, 2025 (Open) Submit Now

Guest Editors

Dr. Stephen G. Fashoto, Senior Lecturer

University of Eswatini (formerly University of Swaziland)

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Research Interests: Machine learning; Data mining; Mental health application using machine learning; Health informatics; Soft computing

Dr. Elliot Mbunge

Department of Computer Science, University of Eswatini, Kwaluseni, Eswatini

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Research Interests: Machine learning; Emerging digital technologies; Health informatics; Information technology; ICT4D

Christian Napoli, PhD, Associate Professor

Department of Computer Engineering, "Sapienza" University of Rome, 00185 Rome, Italy

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Research Interests: Machine learning; Data mining; Mental health application using machine learning; Health informatics; Soft computing

About This Topic

Neurobiology can be defined as the study of the nervous system and brain function while Neurological disorders are the damage to the neuronal activity of the brain, spinal cord and nervous system. Neurologists, Neurosurgeons, Neurological Physiotherapists, Nurses, Orthotists, speech therapists, Neuroscientists and physiologists are healthcare professionals who benefit from the research findings in neurobiology and disorders. The most prevalent neurological disorders are Alzheimer’s disease, Dementia, attention deficit hyperactivity disorder (ADHD), epilepsy, multiple sclerosis, Parkinson’s disease, stroke, migraine, spinal cord injury, traumatic brain injury and so on.

Neurological disorder is the leading cause of disability-adjusted life-years (DALYs) and the second leading cause of death worldwide. The mortality rate of Neurological disorders is alarmingly high, and the number of cases continues to show an upward trend in recent years. This is largely owed to the fact that many of these cases are not identified or detected on time, and such delays in diagnosis and treatment ultimately contribute to the severity and the associated risks of mortality. According to statistics gathered by the World Health Organization, there has been an escalating trend of Neurological disorders which is estimated to be 533,172 deaths, 213,129 (40%) in men, and 320,043 (60%) in women.

It is important to note from research findings that neurological disorders can occur long before the onset of clinical manifestations for this reason there is a need for a diagnostic tool for early detection of this non-communicable disease. The integration or the combination of Artificial intelligence (AI) was discovered to have opened new ways of exploring the potential of accurate diagnosis and early detection of the damages done to the brain, spinal cord and nervous system. It is believed that AI will be faster and more efficient than the traditional system in place even though there may be some ethical challenges that may occur.

The focus of this special issue is to explore the role of AI applications as emerging technologies in Neurobiology and Neurological disorders from clinical and experimental research perspectives to be able to bridge the existing gap.

The topics of interest are as follows but not limited to the following:
1) Application of machine learning techniques/models
2) Application of deep learning techniques/models
3) Application of ensemble learning
4) Application of explainable AI techniques
5) Application of Natural Language processing
6) Use of generative AI

Manuscript Submission Information

Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (neurobiology@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.

Welcome your submission!