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

Prediction and Classification of Neurodegenerative Disease Based on MRI Information and AI Technologies

Submission Deadline: March 30, 2024 (Open) Submit Now

Guest Editor

Dr Gopi Battineni, PhD

Center of Clinical Research, Telemedicine & Telepharmacy Department, School of Medicinal and Health Products Sciences, University of Camerino, Macerata, Italy

Website | E-Mail

Research Interests: Artificial intelligence; e-health; Machine learning; Medical informatics; Python; tele-healthcare; tele-robotics

About This Topic

Introduction:

Neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and multiple sclerosis are increasingly prevalent in aging societies. Magnetic resonance imaging (MRI) provides non-invasive imaging of the brain and has become a crucial tool for the diagnosis and prognosis of neurodegenerative diseases. The combination of AI technologies and MRI information provides opportunities for accurate prediction and classification of neurodegenerative diseases, leading to earlier detection and treatment.

Scope:

This editorial special issue focuses on recent advances in the prediction and classification of neurodegenerative diseases using AI technologies and MRI information. We invite original research articles, review articles, and short communications covering, but not limited to, the following topics:
- AI-based prediction and classification of Alzheimer's disease using MRI
- AI-based prediction and classification of Parkinson's disease using MRI
- AI-based prediction and classification of multiple sclerosis using MRI
- Advanced AI algorithms for feature selection and extraction from MRI data
- Novel machine learning techniques for the diagnosis and prognosis of neurodegenerative diseases
- Interpretability and explainability of AI models in neurodegenerative disease prediction and classification
- Multi-modal data fusion for improved accuracy in neurodegenerative disease prediction and classification
- Big data analytics in neurodegenerative disease research using MRI and AI
- Clinical translation and applications of AI-based neurodegenerative disease prediction and classification using MRI.

Submission Guidelines:

Manuscripts must be prepared according to the guidelines provided by the journal and must not have been published previously or be under consideration for publication elsewhere. All manuscripts will be subjected to a rigorous peer-review process to ensure the quality and novelty of the research presented.

Conclusion:

This special issue aims to provide a comprehensive overview of recent advances in the prediction and classification of neurodegenerative diseases using AI technologies and MRI information. We encourage researchers to submit their original research articles, review articles, and short communications to contribute to the growing body of knowledge in this field and to help improve the diagnosis and treatment of neurodegenerative diseases.

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.

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