Evidence map›Paper›PMID 42729330›Full record

ArticleFrontiers in digital health2026

From technological closed-loop to human-machine trust: a systematic review of ethical and communication challenges of brain-computer interface in elderly care.

Kun Fu, Peize Li, Xinxi Peng, Shuangcheng Li, Yifan Zhao, Xi Chen, Yi Ding, Chenxi Ye

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Kun FuSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Peize LiSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Xinxi PengSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Shuangcheng LiSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Yifan ZhaoSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Xi ChenSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Yi DingSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.
Chenxi YeSchool of Culture and Creativity, Beijing Normal-Hong Kong Baptist University, Zhuhai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the global population ages, brain-computer interfaces (BCIs) have emerged as a promising technological pathway for restoring communication, motor function, and cognitive support in elderly care settings. However, the ethical and communication challenges accompanying BCI deployment in these contexts remain insufficiently understood. This systematic review identified 177 studies meeting the inclusion criteria from 12,423 records. Through comprehensive analysis, six core ethical themes were identified: privacy and data security, informed consent and autonomy, personhood and identity, technical risks and safety, equity and accessibility, and risk-benefit trade-offs. Beyond cataloging these ethical challenges, this review proposes a three-level analytical framework encompassing human-computer interaction, interpersonal communication, and public opinion dissemination to examine how ethical risks manifest as communication breakdowns across the closed-loop BCI process of neural signal acquisition, intention decoding, and external feedback. Furthermore, a three-dimensional mapping integrating ethical issues, communication challenges, and application scenarios (rehabilitation assistance, communication assistance, monitoring and prevention, and emotional support) is constructed to reveal scenario-specific ethical configurations. The findings indicate that BCI's ethical risks are not peripheral but structurally embedded in the technology's interaction logic-decoding uncertainty can translate into care misjudgment, neural data inferability extends privacy risks beyond information leakage to psychological exposure and power asymmetry, and technology-mediated communication creates structural tensions in trust and responsibility. The review concludes that responsible BCI deployment in elderly care requires not merely algorithmic improvement but the systematic engineering of ethical principles into care processes, including uncertainty disclosure at the interface level, data minimization and layered informed consent at the institutional level, and interdisciplinary collaboration with long-term support systems.

Indexed as

ageingbrain-computer interfacecommunication challengesdigital health ethicselderly careethicshuman-machine interactionneuroethics

Identifiers

PMID42729330
PMCPMC13562034

What Socratic 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 Socratic graph.