(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 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)
Special Issue
Neuroscience and Information Technology
Submission Deadline: May 31, 2022 (Open) Submit Now
Guest Editor
Raul Valverde, PhD PEng
Senior Lecturer, John Molson School of Business, Concordia University, Montreal, Canada
Research Interests: Supply Chain; Information Systems; Consciousness; Neuroeconomics; NeuroIS
About This Topic
Neuroinformatics stands at the intersection of neuroscience and information science. It can provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroinformatics puts emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research this includes theory and methodology, ontologies, modeling approaches, database design, software tools, and of the methods for their distribution; relevant experimental results; computational simulations of models integrating and organizing complex data.
Neuroinformatics addresses topics such as Brain Decease Diagnosis Databases, Computational Genomics, Machine Learning for Medical Diagnosis, Neuropsychology software applications, Computational Neuroscience, Cognitive NeuroInformatics, Big data in Medical Applications among other topics.
Neuro-Information-Systems relies on neuroscience and neurophysiological knowledge and tools to better understand the development, use, and impact of information and communication technologies. Neuro-Information Systems assists the development of new theories that make possible accurate predictions of IS-related behaviors, and the design of information systems that positively affect economic and non-economic variables (e.g., productivity, satisfaction, adoption, well being). Neuro-Information-Systems uses Neuroscience in the study of information systems, investigate the neuro-physiological effects related to the design, use, and impact of information systems and includes the human behavior at the underlying neuro-physiological level by using neurophysiological tools (e.g., fMRI, PET, EEG, MEG, and eye tracking).
Neuro-Information Systems address the following topics, among others: employment of neuroscience and neurophysiological methods and tools to study technology adoption, virtual reality, technology stress, Web site design, virtual worlds, human–computer interaction, social networks, information behavior, trust, usability, multitasking, memory and attention.
In this special edition, we invite submissions that show new view, conception, inventive and original approaches related to Neuroinformatics and Neuro-Information Systems. Original research reports, review articles, communications, and perspectives are welcome in all areas pertinent to this topic. All accepted papers will be published free of charge.
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!
Publication
Postoperative Cognitive Dysfunction and Virtual Reality for Cognitive Rehabilitation in Cardiac Surgery Patients: A Short ReviewAbstract Postoperative cognitive dysfunction (POCD) has been observed as a complication after cardiac surgery consistently. The ineffectiveness of current treatments for POCD is causing a search for non-invasive alternatives. The present review aims to consolidate the current understanding of how VR methods effectively facilitate the recovery of cognit [...] |
Classical and Non-Classical Neural CommunicationsAbstract This review was constructed to show how the connectome has evolved in motor command systems from simple command elements to complex systems of neurons utilizing parallel distributed processing and the possibility of quantum entanglement between groups of neurons. Scientific and medical interest in neural pathways and their connections have [...] |
Is Electrocatheter-Mediated High-Voltage Pulsed Radiofrequency of the Dorsal Root Ganglion an Effective Adjuvant to Epidural Adhesiolysis in the Treatment of Chronic Lumbosacral Radicular Pain? A Retrospective Analysisby
Marco La Grua
,
Gianfranco Sindaco
,
Matteo Zanella
,
Irene Grazzini
,
Antonio Musio
,
Alberto Merlini
,
Valentina Paci
,
Simone Vigneri
,
Carmela Bertone
and
Gilberto Pari
Abstract This study aims to determine if high-voltage PRF could effectively adjunct epidural adhesiolysis (EA) in treating patients with chronic lumbosacral radiating pain (LSRP) and neuropathic characteristics. A total of 409 patients suffering from a single leg-radiating pain lasting for > six months and unresponsive to previous treatments were [...] |
New Technologies to Support People with Neurodevelopmental Disorders: A Selective ReviewAbstract Neurodevelopmental disorders represent a cluster of conditions first diagnosed during childhood or adolescence (i.e., including intellectual disability, autism spectrum disorders, motor deficits, and communication deficits). The main characteristic of neurodevelopmental disorders is the presence of a deficit or a delay in the acquisition of [...] |
Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and LineagesAbstract Pituitary neuroendocrine tumors (PitNETs) are common intracranial tumors comprising numerous subtypes whose metabolic profiles have yet to be fully examined. The present in silico study analyzed single-cell expression profiles from 2311 PitNET cells from various lineages and subtypes to elucidate differences [...] |
Intrinsic Lexical Intentionality and the Mathematics of HomomorphismAbstract Moisl [1, 2] proposed a model of how the brain implements intrinsic intentionality with respect to lexical and sentence meaning, where 'intrinsic' is understood as 'independent of interpretation by observers external to the cognitive agent'. The discussion in both was mainly philosophical and qualitative; the present paper gives a mathematical [...] |
Challenges and Problems on Self-directed Learning Readiness in Non–face-to-face Educational Settings During COVID-19by
JeongChul HEO
and
Sumi HAN
Abstract This study aimed to verify whether self-directed learning readiness (SDLR) level can be significantly predicted by the literacy of learning management system (LLMS), motivation, and feedback interaction (FI) in non–face-to-face educational settings. We performed Pearson’s correl [...] |
Human Attention Assessment Using A Machine Learning Approach with GAN-based Data Augmentation Technique Trained Using a Custom Datasetby
Sveva Pepe
,
Simone Tedeschi
,
Nicolo' Brandizzi
,
Samuele Russo
,
Luca Iocchi
and
Christian Napoli
Abstract Human–robot interactions require the ability of the system to determine if the user is paying attention. However, to train such systems, massive amounts of data are required. In this study, we addressed the issue of data scarcity by constructing a large dataset (containing ~120,000 photographs) for the attention detection task. Then, by [...] |
A Clinical Validity-Preserving Machine Learning Approach for Behavioral Assessment of Autism Spectrum Disorderby
Abdulmalik A. Lawan
and
Nadire Cavus
Abstract Autism spectrum disorder (ASD) is a neuropsychiatric disorder associated with critical challenges related to social, communication, and behavioral issues. Recent studies have proposed machine learning (ML) techniques for rapid and accurate assessment of ASD. However, the mismatch between the ML techniques and the clinical basis of ASD assessme [...] |
Modeling of Information Processing in Biomorphic Neuroprocessorby
Sergey Yu. Udovichenko
,
Alexander D. Pisarev
,
Alexander N. Busygin
,
Abdulla H. Ebrahim
,
Andrey N. Bobylev
and
Alexey A. Gubin
Abstract In the present study, we present the results of the modeling of incoming information processing in a neuroprocessor that implements a biomorphic spiking neural network with numerous neurons and trainable synaptic connections between them. Physico-mathematical models of processes of encoding information into biomorphic pulses and their decoding [...] |
| 2023 |  |
|
| CiteScore | SJR | SNIP |
| 1.0 | 0.232 | 0.256 |
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Vidhi is a Clinical yoga therapist; mentor for yoga therapy training in Krishnamacharya tradition. She holds a MSc in Public health from Kings College London.
Mirela Olympia Fagarasan Palmer
Luigi Fontana, MD, PhD.jpg)
Zhong-Ting (Justin) is a PhD student from Nanyang Technological University (Singapore). He holds BSc in Applied Chemistry and MSc in Environmental Engineering. He was a R&D researcher of NanoMaterials Technology Pte Ltd in Singapore (2006-2012). His current research interests are functional nanomaterials synthesis & design, and their application into environmental/chemical engineering. He has published near 60 SCI papers in Applied Catalysis B, Chemical Engineering Journal and so on with H-Index 23. He also serviced as reviewers over 40 Journals such as Appl. Catal. B, Water Research, Chem. Eng. J, ACS Applied Materials & Interface, etc. He was honored such as “The Bsic Research Achievment 1st Award of CIESC”, “The ZJUT Fund Breeding Distinguished Young Scholars” etc.
Rolf Teschke studied Medicine in Munich and Marburg, where he finished his MD thesis before starting a residency at the Department of Pathology, University of Marburg. Subsequently and with a fellowship of the Deutsche Forschungsgmeinschaft, he worked at the Bronx VA Hospital/Mount Sinai Hospital in New York during 1972–1975 together with Professor Charles S. Lieber and successfully isolated MEOS and expanded its characterization. Back in Germany, he was at the Heinrich-Heine University in Düsseldorf with a focus on alcoholic liver disease, biochemical drug studies, and clinical intoxications by halogenated aliphatic hydrocarbons, where he became a Professor of Medicine. In 1987, he was offered a chief position and appointed as Director of the Medical Department II, City Hospital Hanau, Teaching Hospital of the Johann Wolfgang Goethe University Frankfurt/Main. His clinical and research interests are on liver injury by drugs and herbs including causality assessment by RUCAM in close association with Dr. Gaby Danan in Paris. A perfect cooperation exists also with Professor Tran Dang Xuan of the University of Hiroshima, Japan. Finally, he is the author of more than 275 publications including books and book chapters, and he is editor in chief of scientific journals and member of editorial boards.