Evidence map›Paper›PMID 39505863›Full record

ArticleNature communications2024

Constructing organoid-brain-computer interfaces for neurofunctional repair after brain injury.

Nan Hu, Jian-Xin Shi, Chong Chen, Hai-Huan Xu, Zhe-Han Chang, Peng-Fei Hu, Di Guo, Xiao-Wang Zhang, Wen-Wei Shao, Xiu Fan and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Organoid Brain-Machine-Interface Devices for Central Nervous System Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  12. Article
  13. Article
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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

13 authors.

Nan Hu *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Jian-Xin Shi *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Chong Chen *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Hai-Huan XuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Zhe-Han ChangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Peng-Fei HuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Di GuoAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Xiao-Wang ZhangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Wen-Wei ShaoAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Xiu FanAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Jia-Chen ZuoAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Dong MingAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Xiao-Hong LiAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. xhli18@tju.edu.cn.ORCID 0000-0002-7861-8252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reconstruction of damaged neural circuits is critical for neurological repair after brain injury. Classical brain-computer interfaces (BCIs) allow direct communication between the brain and external controllers to compensate for lost functions. Importantly, there is increasing potential for generalized BCIs to input information into the brains to restore damage, but their effectiveness is limited when a large injured cavity is caused. Notably, it might be overcome by transplantation of brain organoids into the damaged region. Here, we construct innovative BCIs mediated by implantable organoids, coined as organoid-brain-computer interfaces (OBCIs). We assess the prolonged safety and feasibility of the OBCIs, and explore neuroregulatory strategies. OBCI stimulation promotes progressive differentiation of grafts and enhances structural-functional connections within organoids and the host brain, promising to repair the damaged brain via regenerating and regulating, potentially directing neurons to preselected targets and recovering functional neural networks in the future.

Indexed as

BrainBrain-Computer InterfacesBrain InjuriesOrganoidsAnimalsHumansMaleMiceNeurons

Identifiers

PMID39505863
PMCPMC11541701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.