• The state of science convergen...

Treffer: The state of science convergence in implantable brain-computer interface clinical trials.

Title:
The state of science convergence in implantable brain-computer interface clinical trials.
Authors:
Patrick-Krueger KM; Texas institute of Restorative Neurotechnology, Department of Neurology, McGovern School of Medicine, University of Texas Health Sciences Houston, Houston, TX 77030, United States of America.; Laboratory for Non-invasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering, IUCRC BRAIN, University of Houston, Houston, TX 77204, United States of America., Pavlidis I; Affective and Data Computing Laboratory, University of Houston, Houston, TX 77204, United States of America., Contreras-Vidal JL; Laboratory for Non-invasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering, IUCRC BRAIN, University of Houston, Houston, TX 77204, United States of America.
Source:
Journal of neural engineering [J Neural Eng] 2025 Dec 30; Vol. 22 (6). Date of Electronic Publication: 2025 Dec 30.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE
Imprint Name(s):
Original Publication: Bristol, U.K. : Institute of Physics Pub., 2004-
MeSH Terms:
Brain-Computer Interfaces*/trends , Clinical Trials as Topic*/methods , Prostheses and Implants*/trends, Humans
Contributed Indexing:
Keywords: bibliometrics; brain–computer interfaces; convergence science; interdisciplinary studies; research personnel / organization & administration; team science; translational medical research
Entry Date(s):
Date Created: 20251209 Date Completed: 20251230 Latest Revision: 20260108
Update Code:
20260109
DOI:
10.1088/1741-2552/ae2a6f
PMID:
41364937
Database:
MEDLINE

Weitere Informationen

Objective. 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. Approach. 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 and Classification of Instructional Programs 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. Main Results. 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. Significance. 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.
(Creative Commons Attribution license.)