Increasing the Efficacy of Neurorehabilitation: From the Translationality of Technology to Personalized Rehabilitation Medicine
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Rehabilitation".
Deadline for manuscript submissions: 16 August 2024 | Viewed by 132
Special Issue Editors
Interests: functional recovery; robot-sassited training; robotic training; neurorehabilitation; virtual reality; motor-cognitive recovery; stroke rehabilitation; serious game therapy
Special Issues, Collections and Topics in MDPI journals
Interests: clinical neurophysiology; electroencephalography; brain-computer interfaces; stroke rehabilitation; neurorehabilitation; motor system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Brain disorders are a leading cause of disability worldwide. Despite advancements in acute treatment and care, the role of neurorehabilitation is still pivotal in reducing the burden on patients, care-givers, and society. In the last two decades, neurorehabilitation has revealed itself as a multidisciplinary field, with novel approaches being proposed which employ non-invasive brain stimulation, robotics, virtual reality, brain–machine interfaces, and other highly technological systems. Some of those have currently reached a sufficient level of evidence to be included in international guidelines. All in all, this technological invasion in conjunction with artificial intelligence has promoted an improvement in the methods of outcome assessment and definition of outcome predictors, which capitalize on the technological and neuroscientific advancements. Furthermore, despite these tangible advances in neurorehabilitation technology, there is an enormous amount of work to be done in terms of translationality to improve current clinical practice and to lead to a real personalized rehabilitation medicine. The scope of this Special Issue is to provide an overview of the recent advancements (with or without the use of technology and/or artificial intelligence), challenges, and perspectives on neurorehabilitation (both motor and cognitive) and novel means of outcome assessment and prediction. Researchers in this field are invited to submit original articles or reviews.
Dr. Giovanni Morone
Dr. Floriana Pichiorri
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. 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 invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- rehabilitation
- translationality
- personalized medicine
- brain disorders
- exoskeleton
- artificial intelligence
- technology
- assessment
- robot-assisted training
- brain computer interface
- virtual reality
