Evidence map›Paper›PMID 41978246›Full record

ReviewMedical science monitor : international medical journal of experimental and clinical research2026

Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.

Daokai Yang, Xiaogang Liu, Junhang Hu, Wei Zhang

Abstract readReview
In one paragraph

Review in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Daokai YangClinical Medical College, Shandong Second Medical University, Weifang, Shandong, China.
Xiaogang LiuYidu Central Hospital, Affiliated to Shandong Second Medical University, Weifang, Shandong, China.
Junhang HuClinical Medical College, Shandong Second Medical University, Weifang, Shandong, China.
Wei ZhangClinical Medical College, Shandong Second Medical University, Weifang, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implantable brain-computer interfaces (BCIs) - positioned at the intersection of neuromedicine and clinical neurorehabilitation - have achieved notable advances in restoring motor function for individuals with paralysis. By using invasive electrodes to directly sample cortical neuronal activity and translating these signals into control commands for external effectors, BCIs offer a viable therapeutic pathway for severe motor impairment. On the mechanistic front, steady improvements in neural signal acquisition and decoding have enabled more precise capture of movement intent and real-time control of robotic manipulators, exoskeletons, and functional electrical stimulation systems, thereby supporting partial restoration of motor function. Evidence from animal studies and early clinical investigations indicates that long-term implanted electrodes provide distinctive advantages in signal stability, spatial resolution, and the induction of neuroplasticity, which collectively strengthen basic mechanistic inquiry and translational application. At the application level, recent work combining high-density electrode arrays with deep learning-based decoding strategies has demonstrated near real-time, multi-degree-of-freedom control of hand and upper-limb movements. In parallel, hybrid interfaces integrating electroencephalography and electromyography, together with closed-loop neuromodulatory paradigms, further extend the rehabilitative potential of BCI systems. In summary, implantable BCIs show substantial promise for motor recovery in paralysis and are progressing from laboratory demonstrations toward bedside deployment. With continued convergence of materials science, artificial intelligence, and clinical neuroscience, BCIs are poised to play an increasingly pivotal role in improving quality of life and advancing the practice of neurorehabilitation. This article aims to review recent advances in implantable BCIs for the restoration of motor function in patients with paralysis.

Indexed as

Brain-Computer InterfacesParalysisAnimalsElectrodes, ImplantedElectroencephalographyElectromyographyHumansMovementRecovery of Function

Identifiers

PMID41978246
PMCPMC13091483

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.