Evidence map›Paper›PMID 42539737›Full record

ArticleFrontiers in psychology2026

Cerebral differences between roller and speed skaters: preliminary evidence for roller-to-ice talent transfer.

Qing Yan, Keying Zhang, Ling Jiang, Yuyan Wang, Yihua Cao, Chunmei Cao, Dong Zhang

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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Qing Yan *Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.
Keying Zhang *Department of Physical Education, Southeast University, Nanjing, China.
Ling JiangDepartment of Physical Education, Southeast University, Nanjing, China.
Yuyan WangInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.
Yihua CaoDepartment of Physical Education, Southeast University, Nanjing, China.
Chunmei CaoDivision of Sports Science and Physical Education, Tsinghua University, Beijing, China.
Dong ZhangInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Talent transfer (TT) from roller skating to speed skating is a recognized pathway for developing elite athletes. This study aimed to identify the sport-specific cerebral characteristics in these athletes by comparing their brain structure and function, thereby providing preliminary neuroimaging evidence relevant to "roller-to-ice" TT. Methods: We acquired structural and resting-state functional magnetic resonance imaging (fMRI) data from 10 national-level speed skaters and 14 roller skaters. Voxel-based morphometry (VBM) was used to assess whole-brain gray matter volume (GMV), and whole-brain voxel-wise resting-state analyses were conducted to calculate fractional amplitude of low-frequency fluctuations (fALFF) and degree centrality (DC). Results: Speed skaters demonstrated greater GMV in the bilateral occipital lobe, right orbitofrontal cortex, right medial temporal lobe, right insula, and cerebellum, but lower GMV in the bilateral precuneus, bilateral inferior temporal gyrus, right ventral frontal cortex, and left occipitotemporal junction compared to roller skaters (FWE corrected Conclusion: The pronounced structural differences may reflect distinct long-term neuroplastic characteristics related to visuomotor integration, balance 2 control, and environmental predictability inherent to each sport. The relatively limited functional differences, coupled with the common engagement of motor planning networks, may indicate a common neural feature that underlies the potential for TT. These findings provide preliminary neurobiological evidence to inform talent identification and optimize training strategies for athletes transitioning from roller skating to speed skating.

Indexed as

brain plasticitymagnetic resonance imagingneural mechanismskatingtalent transfer

Identifiers

PMID42539737
PMCPMC13424456

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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.