Journal of Neurorestoratology Open Access Editors-in-Chief: Hongyun Huang, Luming Li
Home Journal of Neurorestoratology Notice List Brain-Computer Interfaces for Clinical Therapeutics
Brain-Computer Interfaces for Clinical Therapeutics

This Special Issue highlights clinical breakthroughs across invasive (e.g., cortical implants) and non-invasive (e.g., EEG/fNIRS) BCI technologies.

Guest editors:

Dr. Banghua Yang,
School of mechatronic engineering and automation, Shanghai University, China.

Dr. Yong Hu,
LKS faculty of medicine, The University of Hong Kong, China

Dr. Dingguo Zhang,
Department of Electronic and Electrical Engineering, University of Bath, UK

Special issue information:

Brain-computer interfaces (BCIs) are innovative treatment methods for neurological and psychiatric disorders in Neurorestoratology. This Special Issue highlights clinical breakthroughs across invasive (e.g., cortical implants) and non-invasive (e.g., EEG/fNIRS) BCI technologies. We seek cutting-edge research on motor restoration in neurotrauma, stroke and neurodegenerative diseases, speech decoding for aphasia, and emotion modulation in depression. Contributions may address BCI neurorestorative mechanisms, effects combining neurorehabilitation, or scalable BCI designs for home-based care. 

Submissions from interdisciplinary teams (engineering, neuroscience, and neuromedicine) are strongly encouraged. Join us in advancing BCI from labs to global healthcare – submit your work to enrich neurorestorative therapeutic explorations.

Manuscript submission information:

Submission Link: https://www.editorialmanager.com/jnrt/default1.aspx 

Submission Deadline: 1st December 2025

Article type name: "VSI: BCIs Clinical Translation"

Keywords:

Invasive and non-invasive brain-computer interfaces; Clinical neurorestoration; Neurodegenerative diseases; Neurotrauma; Aphasia restoration; Depression

Why publish in this Special Issue?

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  • Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
  • All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.

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