Dong ZHANG

Dr. Dong ZHANG

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 November 2024 in Frontiers in Human Neuroscience
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KZKeying Zhang
Keying Zhang
CCChunmei Cao
Chunmei Cao
YWYaxue Wang
Yaxue Wang
DZDong ZHANG
Dong ZHANG
Background: Although previous studies have shown that athletes engaged in endurance sports exhibit unique characteristics of brain plasticity, there has been no systematic investigation into the structural and functional brain characteristics of endurance athletes with varying training levels.Methods: Utilizing the “expert-novice paradigm” design, we employed functional magnetic resonance imaging (fMRI) to obtain images of brain structure and functional activity. We compared differences in gray matter volume (GMV), fractional amplitude of low-frequency fluctuations (fALFF), and degree centrality (DC) among high-level endurance athletes, moderate-level endurance athletes, and non-athlete controls.Results: (1) High-level endurance athletes exhibited significantly greater GMV in the left parahippocampal gyrus, bilateral thalamus, right temporal lobe, and bilateral cerebellum compared to both moderate-level endurance athletes and controls. The GMV in these regions showed an increasing trend with more years of endurance training and higher endurance capacity. Additionally, these athletes had significantly higher fALFF in the left superior medial frontal gyrus and right precuneus, as well as higher DC in the right lateral occipital lobe compared to moderate-level endurance athletes. They also had significantly higher DC in the right precuneus and cerebellum compared to the control group. (2) Moderate-level endurance athletes demonstrated significantly greater GMV in the right prefrontal cortex, bilateral medial frontal lobe, right temporal pole, right striatum, and bilateral insula compared to high-level endurance athletes. They also had significantly higher fALFF in the left posterior cingulate gyrus compared to high-level endurance athletes. (3) Control group showed significantly greater GMV in the right amygdala, higher fALFF in the left medial frontal lobe, and greater DC in the left lateral occipital lobe compared to moderate-level endurance athletes.Conclusion: Adaptive benefits exhibit different characteristics across different endurance levels. High-level endurance athletes exhibit pronounced enhancements in gray matter volume and functional activity in regions associated with memory, motor control, and sensory processing. While moderate-level athletes demonstrate distinct functional reorganization in the default mode network and cerebellum.

13 March 2025 in Life
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ZBZhe Bai
Zhe Bai
DZDong ZHANG
Dong ZHANG
DLDongxue Liang
Dongxue Liang
XCXiaoke Chen
Xiaoke Chen
XSXinyu Shi
Xinyu Shi
SCShu Chen
Shu Chen
Eccentric training may be more effective for muscle strength, but the optimal duration, intensity, and contraction velocity for improving upper limb strength remain unclear. We conducted a search across four databases (PubMed, Embase, Web of Science, and Cochrane) to evaluate the impact of eccentric training on upper limb skeletal muscle strength. A meta-analysis using standardized mean differences (SMDs) and 95% confidence intervals (CIs) was performed. The results from 11 studies involving 368 participants indicated that eccentric training significantly enhanced upper limb strength (SMD = 0.55, CI: 0.32–0.79). Subgroup analysis showed a slight increase in strength in the 1–4 week period (SMD = 0.38, CI: 0.02–0.73), a significant increase in the 4–8 week period (SMD = 0.69, CI: 0.27–1.10), and a substantial increase at 20 weeks (SMD = 0.71, CI: 0.22–1.21). Moderate intensity showed moderate improvements (SMD = 0.47, CI: 0.18–0.77), while high intensity led to significant adaptations (SMD = 0.70, CI: 0.30–1.10). Rapid eccentric contractions (SMD = 0.70, CI: 0.39–1.02) outperformed slow contractions (SMD = 0.35, CI: −0.01–0.71). Eccentric training is effective, with significant results generally requiring 4–8 weeks of high-intensity rapid eccentric training.

25 August 2025 in Life
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KZKeying Zhang
Keying Zhang
QYQing Yan
Qing Yan
LJLing Jiang
Ling Jiang
DLDongxue Liang
Dongxue Liang
CCChunmei Cao
Chunmei Cao
DZDong ZHANG
Dong ZHANG
Long-term physical training is known to induce brain plasticity, yet how these neural adaptations evolve across different stages of training remains underexplored. This two-year longitudinal study investigated the stage-dependent effects of endurance running on brain structure and resting-state function in healthy college students. Thirty participants were recruited into three groups based on their endurance training level: high-level runners, moderate-level runners, and sedentary controls. All participants underwent baseline and two-year follow-up MRI scans, including T1-weighted structural imaging and resting-state fMRI. The results revealed that the high-level runners exhibited a significant increase in degree centrality (DC) in the left dorsolateral prefrontal cortex (DLPFC). In the moderate-level group, more widespread changes were observed, including increased gray matter volume (GMV) in bilateral prefrontal cortices, medial frontal regions, the right insula, the right putamen, and the right temporo-parieto-occipital junction, along with decreased GMV in the posterior cerebellum. Additionally, DC decreased in the left thalamus and increased in the right temporal lobe and bilateral DLPFC; the fractional amplitude of low-frequency fluctuations (fALFF) in the right precentral gyrus was also elevated. These brain regions are involved in executive control, sensorimotor integration, and motor coordination, which may suggest potential functional implications for cognitive and motor performance; however, such interpretations should be viewed cautiously given the modest sample size and study duration. No significant changes were found in the control group. These findings demonstrate that long-term endurance training induces distinct patterns of brain plasticity at different training stages, with more prominent and widespread changes occurring during earlier phases of training.

16 August 2022 in Computational and Mathematical Methods in Medicine
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CGCheng Guo
Cheng Guo
XLXinlong Liu
Xinlong Liu
YYYi Yang
Yi Yang
DZDong ZHANG
Dong ZHANG
DYDan Yang
Dan Yang
JYJun Yin
Jun Yin
Background. This study establishes the shoulder model on the drawing side of recurve archers by the finite element method and finds out the stress changes on the rotator cuff muscles in the position of the humerus and scapula under different stages of special techniques. The aim of this study is to investigate the mechanism of rotator cuff damage on a recurve archers drawing arm. Methods. A 22-year-old healthy males shoulder CT and MRI data were collected, and the drawing side shoulder joint finite element model was constructed, which contains the structure of the shoulder blades, clavicle, humerus, supraspinatus, infraspinatus, teres minor, and subscapularis. The humerus on the drawing arm was simulated to raising the bow, drawing, holding, and releasing on the scapula plane, and stress changes in rotator cuff muscles are analyzed. Results. The peak stress on the infraspinatus increased slowly, and from the start of raising the bow to hold and release, the stress peak increased from 0.007MPa to 0.009MPa. The peak stress on teres minor rises slowly from 0.003MPa at the start of raising the bow to 0.010MPa at the moment of releasing. The peak stress in the subscapularis increased from 0.096MPa to 0.163MPa between the start of raising the bow and releasing. The peak stress on the supraspinatus varied greatly, and from the start of raising the bow to the start of drawing, the stress peak increased markedly from 1.159MPa to 1.395MPa. Subsequently, the stress peak immediately decreased to 1.257MPa at the start of holding and then increased to 1.532MPa at releasing. Conclusion. The position of the humerus and scapula would change with the different stages of special techniques. It causes stress changes in the rotator cuff muscles, and when the stress accumulates over time, the shoulder 5on the drawing side will gradually become injured and dysfunctional. In combination with the depth of the structural site and the surrounding structural features, corrective exercises can be used to prevent injury to the rotator cuff muscles.

5 January 2026 in Scientific Reports
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RYRui Yang
Rui Yang
CGCuifeng Gu
Cuifeng Gu
XZXiguang Zhang
Xiguang Zhang
YLYou Li
You Li
JYJun Yin
Jun Yin
DZDong ZHANG
Dong ZHANG
The functional roles of different muscle synergies can be defined through their correlation with biomechanical parameters, making this approach widely applicable in sports science. Muscle synergy analysis has demonstrated unique value in developing specialized skill training. This study aimed to investigate muscle synergy characteristics during pumping in elite windsurfers. Eight elite athletes were recruited to perform 30-s on-shore pumping trials on a windsurfing simulator. Muscle activity was recorded using a 16-channel wireless surface electromyography system (Myon, Cometa, Italy). Non-negative matrix factorization was applied to extract muscle synergy contributions and activation patterns across two pumping phases. Four muscle synergies (S1–S4) were consistently identified across both pumping phases. Phase-specific lateral asymmetries were observed in muscle contributions: the bent-knee phase showed significant left–right differences in triceps brachii (TB), biceps femoris (BF), trapezius (TRA), and rectus femoris (RF) (p < 0.05), while the extended phase exhibited asymmetries in TB, gluteus maximus (GM), RF, and BF (p < 0.05). Activation analysis revealed S2 maintained the highest activation level in both phases (S2 > S3 > S1 > S4, p < 0.05), with no significant differences in overall synergy patterns between phases (p > 0.05), indicating similar neuromuscular coordination strategies despite kinematic differences. This study reveals that elite windsurfers employ four consistent muscle synergies during pumping, with phase-specific lateral asymmetries in muscle contributions and a stable activation hierarchy (S2 > S3 > S1 > S4). These findings provide actionable insights for targeted training, emphasizing unilateral coordination drills and S2 synergy development to optimize pumping performance.

28 July 2025 in Life
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MJMa Junjie
Ma Junjie
Changfei GuoChangfei Guo
Changfei Guo
LLLong Luo
Long Luo
XCXiaoke Chen
Xiaoke Chen
KZKeying Zhang
Keying Zhang
DZDong ZHANG
Dong ZHANG
Cold-water immersion (CWI), as a common recovery method, has been widely used in the field of post-exercise fatigue recovery. However, there is still a lack of comprehensive and systematic scientific evaluation of the combined effects of cold-water immersion combined with other therapies (CWI + Other). The aim of this study was to compare the effects of CWI and CWI + Other in post-exercise fatigue recovery and to explore the potential benefits of CWI + Other. We systematically searched PubMed, Embase, Web of Science, Cochrane Library and EBSCO databases to include 24 studies (475 subjects in total) and performed a meta-analysis using standardized mean difference (SMD) and 95% confidence intervals (CIs). The results showed that both CWI + Other (SMD = −0.68, 95% CI: −1.03 to −0.33) and CWI (SMD = −0.37, 95% CI: −0.65 to −0.10) were effective in reducing delayed-onset muscle soreness (DOMS). In subgroup analyses of athletes, both CWI + Other (SMD = −1.13, 95% CI: −1.76 to −0.49) and CWI (SMD = −0.47, 95% CI: −0.87 to −0.08) also demonstrated significant effects. In addition, CWI + Other significantly reduced post-exercise C-reactive protein (CRP) levels (SMD = −0.62, 95% CI: −1.12 to −0.13), and CWI with water temperatures higher than 10 °C also showed a CRP-lowering effect (MD = −0.18, 95% CI: −0.30 to −0.07), suggesting a potential benefit in anti-inflammation. There were no significant differences between the two interventions in the metrics of creatine kinase (CK; CWI: SMD = −0.01, 95% CI: −0.27 to 0.24; CWI + Other: SMD = 0.26, 95% CI: −0.51 to 1.03) or countermovement jump (CMJ; CWI: SMD = 0.22, 95% CI: −0.13 to 0.57; CWI + Other: SMD = 0.07, 95% CI: −0.70 to 0.85).