Brain Network and Modulation, a publication of Shanghai University of Traditional Chinese Medicine, is a peer-reviewed print + online Quarterly journal. The journal's full text is available online at https://www.bnmjournal.com. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository.
Journal Ethics
Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc., please visit www.Medknow.com/EthicalGuidelines.asp
Open Access Publication and Creative Commons Licensing
This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Digital Archiving
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Portico is a leading digital preservation service worldwide. The content is preserved as an archival version and is not publically accessible via Portico, but is provided when required under specific conditions, such as discontinuation of the collection or catastrophic failure of the website.
CLOCKSS will enable any library to maintain their own archive of content from Wolters Kluwer Medknow and other publishers, with minimal technical effort and using cheaply available hardware.
Ahead of Print policy
Articles published online under the Ahead of Print model are considered published and can be cited and quoted using the DOI as the reference source. Wolters Kluwer Medknow has a policy that changes will not be made after publication of an article without following accepted procedures for making corrections to the scientific record.
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Brain Network and Modulation (BNM) is an international open-access, peer-reviewed journal of rehabilitation, published in English. The journal focuses on the publication of basic, clinical and engineering research articles on normal brain function, brain function network reconstruction in the process of neural repair, neural function detection and modulation in rehabilitation. The journal covers basic research, translational and clinical practice research articles on stroke, traumatic brain injury, neurodegenerative diseases, spinal cord injury, neuromuscular diseases, peripheral nerve injury, and other neuropsychiatric and mental disorders. The journal also reports the research and development of innovative neural repair and modulation technologies, neural rehabilitation engineering equipment, intelligent rehabilitation and artificial intelligence technologies in rehabilitation. The journal will provide a scientific publishing platform for in-depth research on brain network theory and technology for global scientists engaged in the field of rehabilitation and related interdisciplinary disciplines such as brain networks, neural rehabilitation, neural modulation, rehabilitation engineering, rehabilitation of psychiatric and psychological disorders, rehabilitation artificial intelligence and related interdisciplinary disciplines.
Topics include but not limit to:
1. Theory research on neural network and neural modulation;
2. Research on neural network and neural modulation in neural injury, neurodegenerative disease and mental diseases;
3. Research on neural repair and neural circuit modulation in acute brain injury and neural trauma;
4. The mechanism of neural regeneration and circuit remodeling in the process of neural rehabilitation;
5. Regenerative rehabilitation research and stem cell transplantation technology in neural injury;
6. Model animal studies of structural connections and functional regulation of neural networks and modulations;
7. Rehabilitation technology translational and clinical research based on neural circuit and network reconstruction;
8. Research on neural modulation technology with implantable physical factors or chips, and brain-computer interface technology;
9. Research on intelligent rehabilitation aids and artificial intelligence for neural rehabilitation.
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