Evidence map›Paper›PMID 37081142›Full record

ReviewNature biomedical engineering2023

Translational opportunities and challenges of invasive electrodes for neural interfaces.

Konlin Shen, Oliver Chen, Jordan L Edmunds, David K Piech, Michel M Maharbiz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Article
  10. Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  11. Article
  12. A soft electrode array with reconfigurable hydrogel interfaces for high-fidelity neurophysiological monitoring during craniotomy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  13. Review
  14. Review
  15. Article
  16. PEDOT:PSS-A Key Material for Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Konlin ShenUniversity of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Berkeley, CA, USA. konlin.shen@ucsf.edu.ORCID 0000-0003-1184-7605
Oliver ChenDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA.
Jordan L EdmundsDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA.
David K PiechUniversity of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Berkeley, CA, USA.ORCID 0000-0001-6686-8142
Michel M MaharbizDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA.ORCID 0000-0002-8577-4894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive brain-machine interfaces can restore motor, sensory and cognitive functions. However, their clinical adoption has been hindered by the surgical risk of implantation and by suboptimal long-term reliability. In this Review, we highlight the opportunities and challenges of invasive technology for clinically relevant electrophysiology. Specifically, we discuss the characteristics of neural probes that are most likely to facilitate the clinical translation of invasive neural interfaces, describe the neural signals that can be acquired or produced by intracranial electrodes, the abiotic and biotic factors that contribute to their failure, and emerging neural-interface architectures.

Indexed as

Brain-Computer InterfacesElectrodesReproducibility of Results

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.