(ISSN 2573-4407)
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 research articles, technical reports and invited topical reviews. 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.
Archiving: full-text archived in CLOCKSS.
Rapid publication: manuscripts are undertaken in 11.8 days from acceptance to publication (median values for papers published in this journal in the second half of 2021, 1-2 days of FREE language polishing time is also included in this period).
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
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 online at http://www.lidsen.com/Passport/Index/login by registering and logging in to this website. Once registered and activated, please click here to go to the submission form. A guide for authors and other relevant information for submission of manuscripts is available on Instructions for Authors.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are highly invited. For planned papers, a tentative title and short abstract (about 100 words) can be sent to the Editorial Office (neurobiology@lidsen.com) for record. Welcome your submission!
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