Evidence map›Paper›PMID 40175631›Full record

ArticleNature human behaviour2025

Human motor cortex encodes complex handwriting through a sequence of stable neural states.

Yu Qi, Xinyun Zhu, Xinzhu Xiong, Xiaomeng Yang, Nai Ding, Hemmings Wu, Kedi Xu, Junming Zhu, Jianmin Zhang, Yueming Wang

Abstract read
In one paragraph

Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  5. Article
  6. Neural representation of action symbols in primate frontal cortex.bioRxiv : the preprint server for biology · 2025
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  11. Review
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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

10 authors.

Yu Qi *Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, China. qiyu@zju.edu.cn.ORCID http://orcid.org/0000-0002-9789-8907
Xinyun Zhu *College of Computer Science, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0007-3820-4761
Xinzhu Xiong *College of Computer Science, Zhejiang University, Hangzhou, China.
Xiaomeng YangCollege of Computer Science, Zhejiang University, Hangzhou, China.
Nai DingKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China.
Hemmings WuSecond Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0001-9665-2617
Kedi XuKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China.
Junming ZhuSecond Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. dr.zhujunming@zju.edu.cn.
Jianmin ZhangSecond Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0002-3184-1502
Yueming WangNANHU Brain-Computer Interface Institute, Hangzhou, China. ymingwang@zju.edu.cn.ORCID http://orcid.org/0000-0001-7742-0722

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62276228National Natural Science Foundation of China (National Science Foundation of China) 62336007Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LR24F020002
6 · The paper itself

Abstract

How the human motor cortex (MC) orchestrates sophisticated sequences of fine movements such as handwriting remains a puzzle. Here we investigate this question through Utah array recordings from human MC during attempted handwriting of Chinese characters (n = 306, each consisting of 6.3 ± 2.0 strokes). We find that MC activity evolves through a sequence of states corresponding to the writing of stroke fragments during complicated handwriting. The directional tuning curve of MC neurons remains stable within states, but its gain or preferred direction strongly varies across states. By building models that can automatically infer the neural states and implement state-dependent directional tuning, we can significantly better explain the firing pattern of individual neurons and reconstruct recognizable handwriting trajectories with 69% improvement compared with baseline models. Our findings unveil that skilled and sophisticated movements are encoded through state-specific neural configurations.

Indexed as

HandwritingMotor CortexNeuronsPsychomotor PerformanceAdultFemaleHumansMaleModels, NeurologicalYoung Adult

Identifiers

PMID40175631
PMCPMC12185313

What OpenQuestion holds

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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.