Publishing Policies

A "how-to" paper on an important practical or research issue. We recommend contacting the editor to discuss suitability of a topic before submitting it. Submission of slides or audio/video files as supplementary files is strongly recommended.

A commentary is published alongside other articles published in JMIR Publications journals. Commentaries are typically invited. Unsolicited commentaries may be considered at the discretion of the editor. They may or may not be peer-reviewed. Articles submitted as a commentary should offer thoughtful criticism of published work, drawing from evidence, expertise, and/or additional perspectives. 

The application of data science methodologies such as statistical analysis, machine learning, data mining, and visualization techniques to extract meaningful insights from neurotechnological data.

Research published in this section should be in accordance with FAIR Principles, https://www.go-fair.org/fair-principles/

Use of computational methods such as modeling, simulation, algorithm development, and mathematical analysis in advancing neurotechnological research.

Articles published under this category will need to share code in a detailed and well-documented style, for example as outlined by Jupyter Notebook, https://jupyter.org/

This article type will allow us to publish more free-form materials – perspectives, educational articles and other narratives written by clinicians, caregivers, patients, and engineers – provided they clearly share experiences and expertise in understandable to facilitate understanding across domains.

General articles that cannot be categorised into available sections

Studies on the application of advanced technological tools and methods in the investigation, diagnosis, treatment, and monitoring of neurological conditions and disorders in clinical setting

Exploring the latest developments in neuroradiology and its integration with neurotechnology for enhanced diagnostic accuracy 

Focusing on the application of neurotechnology in the field of neurosurgery, including innovative surgical tools and techniques for neurological disorders.

Exploring the role of neurotechnology in neurorehabilitation, including innovative approaches and devices that aid in patient recovery and functional improvement

research on neuroimaging techniques and brain-machine interfaces that contribute to a deeper understanding of neural processes and facilitate brain-computer interactions

Exploring how AI-powered tools can optimize diagnosis, treatment, and patient care in neurological disorders

Highlighting novel diagnostic tools and techniques powered by neurotechnology

JMIR Neurotechnology invites submissions on advancements in the field of brain-computer interfaces (BCIs) that represent the transformative convergence of neuroscience, engineering, and technology.