Abstract

Abstract Advances in implantable brain-computer interfaces (iBCI) have rapidly accelerated in the last decade that promises to improve the quality of life of patients with communications, sensory, and motor control disabilities (CSM). In this Perspective, we quantify the extent and nature of scientific convergence across 21 research groups conducting iBCI clinical trials worldwide. Using Medical Subject Headers (MeSH) and Classification of Instructional Programs (CIP) taxonomies, we analyze topical and disciplinary integration within 161 publications from 1998-2023 to assess how deeply team composition aligns with research themes and translational impact. Our findings indicate uneven patterns of convergence, with many teams combining engineering and clinical expertise yet omitting ethical, legal, and social dimensions. This represents what we term short-cut convergence. We propose an operational definition of this phenomenon and identify practical steps for researchers and funders to strengthen full convergence to accelerate iBCI translation and implementation.

Affiliated Institutions

Related Publications

Publication Info

Year
2025
Type
article
Citations
0
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

0
OpenAlex

Cite This

K. Michelle Patrick-Krueger, Ioannis Pavlidis, José L. Contreras-Vidal (2025). The state of science convergence in implantable brain-computer interface clinical trials. Journal of Neural Engineering . https://doi.org/10.1088/1741-2552/ae2a6f

Identifiers

DOI
10.1088/1741-2552/ae2a6f