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

Application of Smart Sensing Systems, Machine Learning and Data Analytics Techniques for Patients with Neurological Disabilities

Submission Deadline: July 31, 2023 (Open) Submit Now

Guest Editor

Lu Bai, PhD

School of Computing, Ulster University, Belfast, UK

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Research interests: smart sensing systems; machine learning; data analytics technique; smart health.

Co-Editor

Dr Man Zhao

School of Telecommunication and Electronic Engineering, Qiqihaer University, Qiqihaer, China

Website | E-Mail

Research interests: big data; data analytics; machine learning; internet of things

About This Topic

In recent years, the advancement of smart sensing technologies supported by novel machine learning and data analytics techniques have opened up new opportunities to detect neurological disorders and address the challenges in assessing the patients disabilities. Future machine learning models will keep transforming neurological disabilities treatment strategies and rehabilitation regimes. Some of the innovations including the use of machine learning models deriving insights into the neurological disorder detection and automate the process of estimating the clinical scores for daily disability assessment. This issue explores future novel data analytics techniques in how to improve the treatment for patients with neurological disabilities.

Keywords:

Smart sensing system, machine learning, data analytics, neurological disorders, artificial intelligence, neurological disabilities.

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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