Evidence map›Paper›PMID 33154521›Full record

ArticleScientific reports2020

Accuracy of hand localization is subject-specific and improved without performance feedback.

Tianhe Wang, Ziyan Zhu, Inoue Kana, Yuanzheng Yu, Hao He, Kunlin Wei

Abstract read
In one paragraph

Article in Scientific reports, 2020. 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

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Tianhe WangSchool of Life Sciences, Peking University, Beijing, China.
Ziyan ZhuSchool of Psychological and Cognitive Sciences, Peking University, 5 Yiheyuan Road, Beijing, 100871, China.
Inoue KanaYuanpei College, Peking University, Beijing, China.
Yuanzheng YuSchool of Psychological and Cognitive Sciences, Peking University, 5 Yiheyuan Road, Beijing, 100871, China.
Hao HeYuanpei College, Peking University, Beijing, China.
Kunlin WeiSchool of Psychological and Cognitive Sciences, Peking University, 5 Yiheyuan Road, Beijing, 100871, China. wei.kunlin@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence indicates that the spatial error of human's hand localization appears subject-specific. However, whether the idiosyncratic pattern persists across time with good within-subject consistency has not been adequately examined. Here we measured the hand localization map by a Visual-matching task in multiple sessions over 2 days. Interestingly, we found that participants improved their hand localization accuracy when tested repetitively without performance feedback. Importantly, despite the reduction of average error, the spatial pattern of hand localization errors remained idiosyncratic. Based on individuals' hand localization performance, a standard convolutional neural network classifier could identify participants with good accuracy. Moreover, we did not find supporting evidence that participants' baseline hand localization performance could predict their motor performance in a visual Trajectory-matching task even though both tasks require accurate mapping of hand position to visual targets in the same workspace. Using a separate experiment, we not only replicated these findings but also ruled out the possibility that performance feedback during a few familiarization trials caused the observed improvement in hand localization. We conclude that the conventional hand localization test itself, even without feedback, can improve hand localization but leave the idiosyncrasy of hand localization map unchanged.

Indexed as

AdolescentFeedback, PhysiologicalFemaleHandHumansMaleProprioceptionPsychomotor PerformanceVisual PerceptionYoung Adult

Identifiers

PMID33154521
PMCPMC7645785

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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.