Evidence map›Paper›PMID 40586134›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Training-Free Regulation of Grasping by Intracortical Tactile Feedback Designed via S1-M1 Communication.

Qi Zhang, Bing Liu, Zhemeng Wang, Jiayue Zhou, Xingyi Yang, Qian Zhou, Yuwei Zhao, Siwei Li, Jin Zhou, Changyong Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

10 authors.

Qi ZhangBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.ORCID https://orcid.org/0009-0006-7577-9137
Bing LiuInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Zhemeng WangBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Jiayue ZhouBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Xingyi YangBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Qian ZhouBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Yuwei ZhaoBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Siwei LiBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Jin ZhouBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Changyong WangBeijing Institute of Basic Medical Sciences, Beijing, 100850, China.ORCID https://orcid.org/0000-0002-3350-8623

Funding

National Major Scientific Instruments and Equipments Development Project of National Natural Science Foundation of China 82327810STI 2030-Major Projects, Ministry of Science and Technology of the People's Republic of China 2021ZD0201600STI 2030-Major Projects, Ministry of Science and Technology of the People's Republic of China 2021ZD0201604
6 · The paper itself

Abstract

Tactile feedback is essential for grip force control when operating a neuroprosthesis. Due to limited knowledge of cortical sensorimotor coordination, artificial feedback is mostly counterintuitive, requiring training to be associated with grasping behaviors. The current study investigates sensorimotor communication by recording neural activities from the primary sensory cortex (S1) and the primary motor cortex (M1) while macaques grasp targets of various textures and loads. Intracortical micro-stimulation is also delivered to S1 to validate the intervention of sensorimotor communication in grasping. The findings identify an S1→M1 functional pathway through which tactile information is transferred. The pathway is shared by both natural and artificial neural propagations. Moreover, it is demonstrated that sensory and motor decoding of neural activities in M1, as well as the actual grip force, are modulated by stimulation designed via S1→M1 communication, without prior training. The work provides a biomimetic strategy to design intuitive haptic feedback for brain-machine interfaces utilizing the S1→M1 pathway.

Indexed as

Feedback, SensoryHand StrengthMotor CortexSomatosensory CortexTouchAnimalsBrain-Computer InterfacesMacaca mulattaMalebrain‐machine interfacegraspingintracortical microstimulationsensorimotor cortextactile feedback

Identifiers

PMID40586134
PMCPMC12462993

What OpenQuestion holds

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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.