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Figueiredo DH, Figueiredo DH, Bellenger C, Machado FA. Individually guided training prescription by heart rate variability and self-reported measure of stress tolerance in recreational runners: Effects on endurance performance. J Sports Sci 2023; 40:2732-2740. [PMID: 36940300 DOI: 10.1080/02640414.2023.2191082] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Abstract
The aim of this study was to determine the effect of endurance training individually guided by objective (Heart Rate Variability-HRV) or self-report measure of stress (DALDA-questionnaire) in comparison to predefined endurance training prescription for improving endurance performance in recreational runners. After a 2-week preliminary baseline period to establish resting HRV and self-reported measure of stress, thirty-six male recreational runners were randomly assigned to HRV-guided (GHRV; n = 12), DALDA-guided (GD; n = 12) or predefined training (GT; n = 12) prescription groups. Before and after 5-weeks of endurance training, participants performed a track field peak velocity (Vpeak_TF), time limit (Tlim) at 100% of Vpeak_TF and 5 km time-trial (5 km TT) tests. GD lead to higher improvements in Vpeak_TF (8.4 ± 1.8%; ES = 1.41) and 5 km TT (-12.8 ± 4.2%; ES = -1.97), than GHRV (6.6 ± 1.5% and -8.3 ± 2.8%; ES = -1.20; 1.24) and GT (4.9 ± 1.5% and -6.0 ± 3.3%; ES = -0.82; 0.68), respectively, with no differences for Tlim. Self-report measures of stress may be used to individualize endurance training prescription on a daily basis leading to better performance enhancement, which may be used with HRV for a holistic understanding of daily training-induce adaptations.
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Affiliation(s)
- Diego Hilgemberg Figueiredo
- Associate Post-graduate Program in Physical Education UEM/UEL, Department of Physical Education, State University of Maringá,Maringá-PR, Brazil
| | - Diogo Hilgemberg Figueiredo
- Associate Post-graduate Program in Physical Education UEM/UEL, Department of Physical Education, State University of Maringá,Maringá-PR, Brazil
| | - Clint Bellenger
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance unit, University of South Australia, Adelaide, Australia
| | - Fabiana Andrade Machado
- Associate Post-graduate Program in Physical Education UEM/UEL, Department of Physical Education, State University of Maringá,Maringá-PR, Brazil
- Post-graduate Program of Physiological Sciences, Department of Physiological Sciences, State University of Maringá, Maringá-PR, Brazil
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Yang C, Luo N, Liang M, Zhou S, Yu Q, Zhang J, Zhang M, Guo J, Wang H, Yu J, Cui Q, Chen H, Gao Q. Altered Brain Functional Connectivity Density in Fast-Ball Sports Athletes With Early Stage of Motor Training. Front Psychol 2020; 11:530122. [PMID: 33101115 PMCID: PMC7546905 DOI: 10.3389/fpsyg.2020.530122] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 08/25/2020] [Indexed: 12/02/2022] Open
Abstract
The human brain shows neuroplastic adaptations caused by motor skill training. Of note, there is little known about the plastic architecture of the whole-brain network in resting state. The purpose of the present study was to detect how motor training affected the density distribution of whole-brain resting-state functional connectivity (FC). Resting-state functional magnetic resonance imaging data was assessed based on a comparison of fast-ball student athletes (SA) and non-athlete healthy controls (NC). The voxel-wise data-driven graph theory approach, global functional connectivity density (gFCD) mapping, was applied. Results showed that the SA group exhibited significantly decreased gFCD in brain regions centered at the left triangular part of the inferior frontal gyrus (IFG), extending to the opercular part of the left IFG and middle frontal gyrus compared to the NC group. In addition, findings suggested the idea of an increased neural efficiency of athletes’ brain regions associated with attentional–motor modulation and executive control. Furthermore, behavioral results showed that in the SA group, faster executive control reaction time relates to smaller gFCD values in the left IFG. These findings suggested that the motor training would decrease the numbers of FC in IFG to accelerate the executive control with high attentional demands and enable SA to rapidly focus the attention to detect the intriguing target.
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Affiliation(s)
- Chengbo Yang
- The Third Department of Physical Education and Training, Chengdu Sport University, Chengdu, China
| | - Ning Luo
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Minfeng Liang
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Sihong Zhou
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Yu
- Exercise and Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen, China
| | - Jiabao Zhang
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Mu Zhang
- Information Technology Center, Chengdu Sport University, Chengdu, China
| | - Jingpu Guo
- The Third Department of Physical Education and Training, Chengdu Sport University, Chengdu, China
| | - Hu Wang
- The Third Department of Physical Education and Training, Chengdu Sport University, Chengdu, China
| | - Jiali Yu
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- Ministry of Education Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.,The Clinical Hospital of Chengdu Brain Science Institute, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qing Gao
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
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Abstract
The transient increase in torque of an electrically evoked twitch following a voluntary contraction is called postactivation potentiation (PAP). Phosphorylation of myosin regulatory light chains is the most accepted mechanism explaining the enhanced electrically evoked twitch torque. While many authors attribute voluntary postactivation performance enhancement (PAPE) to the positive effects of PAP, few actually confirmed that contraction was indeed potentiated using electrical stimulation (twitch response) at the time that PAPE was measured. Thus, this review aims to investigate if increases in voluntary performance after a conditioning contraction (CC) are related to the PAP phenomenon. For this, studies that confirmed the presence of PAP through an evoked response after a voluntary CC and concurrently evaluated PAPE were reviewed. Some studies reported increases in PAPE when PAP reaches extremely high values. However, PAPE has also been reported when PAP was not present, and unchanged/diminished performance has been identified when PAP was present. This range of observations demonstrates that mechanisms of PAPE are different from mechanisms of PAP. These mechanisms of PAPE still need to be understood and those studying PAPE should not assume that regulatory light chain phosphorylation is the mechanism for such enhanced voluntary performance. Novelty The occurrence of PAP does not necessarily mean that the voluntary performance will be improved. Improvement in voluntary performance is sometimes observed when the PAP level reaches extremely high values. Other mechanisms may be more relevant than that for PAP in the manifestation of acute increases in performance following a conditioning contraction.
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Affiliation(s)
- Haiko Bruno Zimmermann
- Biomechanics Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, SC 88040900, Brazil
| | - Brian R MacIntosh
- Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Juliano Dal Pupo
- Biomechanics Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, SC 88040900, Brazil
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Gao Q, Yu Y, Su X, Tao Z, Zhang M, Wang Y, Leng J, Sepulcre J, Chen H. Adaptation of brain functional stream architecture in athletes with fast demands of sensorimotor integration. Hum Brain Mapp 2018; 40:420-431. [PMID: 30277624 DOI: 10.1002/hbm.24382] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 07/31/2018] [Accepted: 08/24/2018] [Indexed: 01/19/2023] Open
Abstract
Training-induced neuroplasticity has been described in athletes' population. However, it remains largely unknown how regular training and sports proficiency modifies neuronal circuits in the human brain. In this study, we used voxel-based morphometry and stepwise functional connectivity (SFC) analyses to uncover connectivity changes in the functional stream architecture in student-athletes at early stages of sensorimotor skill training. Thirty-two second-year student-athletes whose major was little-ball sports and thirty-four nonathlete controls were recruited for the study. We found that athletes showed greater gray matter volume in the right sensorimotor area, the limbic lobe, and the anterior lobe of the cerebellum. Furthermore, SFC analysis demonstrated that athletes displayed significantly smaller optimal connectivity distance from those seed regions to the dorsal attention network (DAN) and larger optimal connectivity distance to the default mode network (DMN) compared to controls. The Attention Network Test showed that the reaction time of the orienting attention subnetwork was positively correlated with SFC between the seeds and the DAN, while negatively correlated with SFC between the seeds and the DMN. Our findings suggest that neuroplastic adaptations on functional connectivity streams after motor skill training may enable novel information flow from specific areas of the cortex toward distributed networks such as the DAN and the DMN. This could potentially regulate the focus of external and internal attention synchronously in athletes, and consequently accelerate the reaction time of orienting attention in athletes.
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Affiliation(s)
- Qing Gao
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.,School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.,Gordon Center for Medical Imaging, Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yi Yu
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.,School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Xiaolong Su
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.,School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Zhongping Tao
- Information Technology Center, Chengdu Sport University, Chengdu, People's Republic of China
| | - Mu Zhang
- Information Technology Center, Chengdu Sport University, Chengdu, People's Republic of China
| | - Yifeng Wang
- School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Jinsong Leng
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Jorge Sepulcre
- Gordon Center for Medical Imaging, Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts
| | - Huafu Chen
- School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
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