3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Differential training benefits and motor unit remodeling in wrist force precision tasks following high and low load blood flow restriction exercises under volume-matched conditions

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Blood flow restriction (BFR) resistance training has demonstrated efficacy in promoting strength gains beneficial for rehabilitation. Yet, the distinct functional advantages of BFR strength training using high-load and low-load protocols remain unclear. This study explored the behavioral and neurophysiological mechanisms that explain the differing effects after volume-matched high-load and low-load BFR training.

          Methods

          Twenty-eight healthy participants were randomly assigned to the high-load blood flow restriction (BFR-HL, n = 14) and low-load blood flow restriction (BFR-LL, n = 14) groups. They underwent 3 weeks of BFR training for isometric wrist extension at intensities of 25% or 75% of maximal voluntary contraction (MVC) with matched training volume. Pre- and post-tests included MVC and trapezoidal force-tracking tests (0–75%–0% MVC) with multi-channel surface electromyography (EMG) from the extensor digitorum.

          Results

          The BFR-HL group exhibited a greater strength gain than that of the BFR-LL group after training (BFR_HL: 26.96 ± 16.33% vs. BFR_LL: 11.16 ± 15.34%)( p = 0.020). However, only the BFR-LL group showed improvement in force steadiness for tracking performance in the post-test ( p = 0.004), indicated by a smaller normalized change in force fluctuations compared to the BFR-HL group ( p = 0.048). After training, the BFR-HL group activated motor units (MUs) with higher recruitment thresholds ( p < 0.001) and longer inter-spike intervals ( p = 0.002), contrary to the BFR-LL group, who activated MUs with lower recruitment thresholds ( p < 0.001) and shorter inter-spike intervals ( p < 0.001) during force-tracking. The discharge variability ( p < 0.003) and common drive index ( p < 0.002) of MUs were consistently reduced with training for the two groups.

          Conclusions

          BFR-HL training led to greater strength gains, while BFR-LL training better improved force precision control due to activation of MUs with lower recruitment thresholds and higher discharge rates.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: not found

          American College of Sports Medicine position stand. Progression models in resistance training for healthy adults.

          In order to stimulate further adaptation toward a specific training goal(s), progression in the type of resistance training protocol used is necessary. The optimal characteristics of strength-specific programs include the use of both concentric and eccentric muscle actions and the performance of both single- and multiple-joint exercises. It is also recommended that the strength program sequence exercises to optimize the quality of the exercise intensity (large before small muscle group exercises, multiple-joint exercises before single-joint exercises, and higher intensity before lower intensity exercises). For initial resistances, it is recommended that loads corresponding to 8-12 repetition maximum (RM) be used in novice training. For intermediate to advanced training, it is recommended that individuals use a wider loading range, from 1-12 RM in a periodized fashion, with eventual emphasis on heavy loading (1-6 RM) using at least 3-min rest periods between sets performed at a moderate contraction velocity (1-2 s concentric, 1-2 s eccentric). When training at a specific RM load, it is recommended that 2-10% increase in load be applied when the individual can perform the current workload for one to two repetitions over the desired number. The recommendation for training frequency is 2-3 d x wk(-1) for novice and intermediate training and 4-5 d x wk(-1) for advanced training. Similar program designs are recommended for hypertrophy training with respect to exercise selection and frequency. For loading, it is recommended that loads corresponding to 1-12 RM be used in periodized fashion, with emphasis on the 6-12 RM zone using 1- to 2-min rest periods between sets at a moderate velocity. Higher volume, multiple-set programs are recommended for maximizing hypertrophy. Progression in power training entails two general loading strategies: 1) strength training, and 2) use of light loads (30-60% of 1 RM) performed at a fast contraction velocity with 2-3 min of rest between sets for multiple sets per exercise. It is also recommended that emphasis be placed on multiple-joint exercises, especially those involving the total body. For local muscular endurance training, it is recommended that light to moderate loads (40-60% of 1 RM) be performed for high repetitions (> 15) using short rest periods (< 90 s). In the interpretation of this position stand, as with prior ones, the recommendations should be viewed in context of the individual's target goals, physical capacity, and training status.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Blood flow restriction training in clinical musculoskeletal rehabilitation: a systematic review and meta-analysis.

            Low-load exercise training with blood flow restriction (BFR) can increase muscle strength and may offer an effective clinical musculoskeletal (MSK) rehabilitation tool. The aim of this review was to systematically analyse the evidence regarding the effectiveness of this novel training modality in clinical MSK rehabilitation.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Decomposition of surface EMG signals.

              This report describes an early version of a technique for decomposing surface electromyographic (sEMG) signals into the constituent motor unit (MU) action potential trains. A surface sensor array is used to collect four channels of differentially amplified EMG signals. The decomposition is achieved by a set of algorithms that uses a specially developed knowledge-based Artificial Intelligence framework. In the automatic mode the accuracy ranges from 75 to 91%. An Interactive Editor is used to increase the accuracy to > 97% in signal epochs of about 30-s duration. The accuracy was verified by comparing the firings of action potentials from the EMG signals detected simultaneously by the surface sensor array and by a needle sensor. We have decomposed up to six MU action potential trains from the sEMG signal detected from the orbicularis oculi, platysma, and tibialis anterior muscles. However, the yield is generally low, with typically < or = 5 MUs per contraction. Both the accuracy and the yield should increase as the algorithms are developed further. With this technique it is possible to investigate the behavior of MUs in muscles that are not easily studied by needle sensors. We found that the inverse relationship between the recruitment threshold and the firing rate previously reported for muscles innervated by spinal nerves is also present in the orbicularis oculi and the platysma, which are innervated by cranial nerves. However, these two muscles were found to have greater and more widespread values of firing rates than those of large limb muscles.
                Bookmark

                Author and article information

                Contributors
                ishwang@mail.ncku.edu.tw
                Journal
                J Neuroeng Rehabil
                J Neuroeng Rehabil
                Journal of NeuroEngineering and Rehabilitation
                BioMed Central (London )
                1743-0003
                19 July 2024
                19 July 2024
                2024
                : 21
                : 123
                Affiliations
                [1 ]Department of Ball Sport, National Taiwan University of Sport, ( https://ror.org/04mwjpk69) Taichung City, Taiwan
                [2 ]Department of Physical Therapy, College of Medicine, National Cheng Kung University, ( https://ror.org/01b8kcc49) Tainan City, Taiwan
                [3 ]Department of Physical Therapy, College of Medical Science and Technology, Chung Shan Medical University, ( https://ror.org/059ryjv25) Taichung City, Taiwan
                [4 ]Orthopedic Department, Kaohsiung Veterans General Hospital Tainan Branch, ( https://ror.org/04jedda80) Tainan City, Taiwan
                [5 ]Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, ( https://ror.org/01b8kcc49) Tainan City, 701 Taiwan
                Article
                1419
                10.1186/s12984-024-01419-5
                11264616
                39030574
                6adcf3d0-f67e-4e57-97cb-b249b3633a8c
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 4 April 2024
                : 8 July 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100020595, National Science and Technology Council;
                Award ID: 111-2410-H-028 -009
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Neurosciences
                hypoxia,training load,force regulation,motor unit,electromyography
                Neurosciences
                hypoxia, training load, force regulation, motor unit, electromyography

                Comments

                Comment on this article