Evidence map›Paper›PMID 40781164›Full record

ArticleNPJ digital medicine2025

Ethical gaps in closed-loop neurotechnology: a scoping review.

Lea Haag, Georg Starke, Markus Ploner, Marcello Ienca

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Review
  6. 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

4 authors.

Lea HaagLaboratory of Ethics of AI & Neuroscience, Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Georg StarkeLaboratory of Ethics of AI & Neuroscience, Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.ORCID http://orcid.org/0000-0001-7428-2619
Markus PlonerCenter for Interdisciplinary Pain Medicine and Department of Neurology, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.ORCID http://orcid.org/0000-0002-7767-7170
Marcello IencaLaboratory of Ethics of AI & Neuroscience, Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany. marcello.ienca@tum.de.ORCID http://orcid.org/0000-0001-8835-5444

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 32NE30_199436
6 · The paper itself

Abstract

Closed-loop (CL) neurotechnology, which dynamically adapts to patients' neural states, offers new opportunities for treating neurological and psychiatric disorders. However, its real-time feedback mechanisms raise critical ethical challenges. This scoping review assesses whether and how clinical studies involving CL neurotechnologies address ethical concerns. We analyzed peer-reviewed research on human participants to evaluate both the presence and depth of ethical engagement. Despite the prominence of CL systems in neuroethical discourse, explicit ethical assessments remain rare. Ethical issues are typically addressed only implicitly, folded into technical or procedural discussions without structured analysis. Most notably, our findings reveal a persistent gap between regulatory compliance and meaningful ethical reflection. To address this, we propose empirically grounded, community-responsive recommendations to strengthen ethical oversight in this field. These recommendations aim to support governance frameworks that are context-sensitive, reflexive, and capable of addressing the complex ethical terrain introduced by adaptive neurotechnologies.

Identifiers

PMID40781164
PMCPMC12334599

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.