A motor unit-based model of muscle fatigue

被引:84
|
作者
Potvin, Jim R. [1 ]
Fuglevand, Andrew J. [2 ]
机构
[1] McMaster Univ, Dept Kinesiol, Hamilton, ON, Canada
[2] Univ Arizona, Coll Med, Dept Physiol, Tucson, AZ 85724 USA
基金
美国国家卫生研究院;
关键词
MAXIMAL VOLUNTARY CONTRACTIONS; SPIKE-FREQUENCY ADAPTATION; PARALYZED SOLEUS MUSCLE; HUMAN BICEPS-BRACHII; FIRING RATE; HUMAN MOTONEURONS; HAND MUSCLE; HYPOGLOSSAL MOTONEURONS; STIMULATED CONTRACTIONS; ISOMETRIC CONTRACTIONS;
D O I
10.1371/journal.pcbi.1005581
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Muscle fatigue is a temporary decline in the force and power capacity of skeletal muscle resulting from muscle activity. Because control of muscle is realized at the level of the motor unit (MU), it seems important to consider the physiological properties of motor units when attempting to understand and predict muscle fatigue. Therefore, we developed a phenomenological model of motor unit fatigue as a tractable means to predict muscle fatigue for a variety of tasks and to illustrate the individual contractile responses of MUs whose collective action determines the trajectory of changes in muscle force capacity during prolonged activity. An existing MU population model was used to simulate MU firing rates and isometric muscle forces and, to that model, we added fatigue-related changes in MU force, contraction time, and firing rate associated with sustained voluntary contractions. The model accurately estimated endurance times for sustained isometric contractions across a wide range of target levels. In addition, simulations were run for situations that have little experimental precedent to demonstrate the potential utility of the model to predict motor unit fatigue for more complicated, real-world applications. Moreover, the model provided insight into the complex orchestration of MU force contributions during fatigue, that would be unattainable with current experimental approaches.
引用
收藏
页数:30
相关论文
共 50 条
  • [1] Motor unit-based synergies in a non-compartmentalized muscle
    Joseph M. Ricotta
    Mauro Nardon
    Sayan D. De
    Jinrui Jiang
    William Graziani
    Mark L. Latash
    [J]. Experimental Brain Research, 2023, 241 : 1367 - 1379
  • [2] Motor unit-based synergies in a non-compartmentalized muscle
    Ricotta, Joseph M. M.
    Nardon, Mauro
    De, Sayan D. D.
    Jiang, Jinrui
    Graziani, William
    Latash, Mark L. L.
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2023, 241 (05) : 1367 - 1379
  • [3] Testing of Motor Unit Synchronization Model for Localized Muscle Fatigue
    Naik, Ganesh R.
    Kumar, Dinesh K.
    Yadav, Vivek
    Wheeler, Katherine
    Arjunan, Sridhar
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 360 - 363
  • [4] CHANGES OF MOTOR UNIT ACTIVITIES IN MUSCLE FATIGUE
    YAMASAKI, M
    YAMASAKI, K
    HISANAGA, H
    [J]. JOURNAL OF THE ANTHROPOLOGICAL SOCIETY OF NIPPON, 1977, 85 (03): : 229 - 236
  • [5] Unit-based leadership
    不详
    [J]. JOURNAL OF VASCULAR NURSING, 2007, 25 (03) : 60 - 62
  • [6] Alterations of Motor Unit Characteristics Associated With Muscle Fatigue
    He, Jinbao
    Houston, Michael
    Li, Sheng
    Zhou, Ping
    Zhang, Yingchun
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 31 : 4831 - 4838
  • [7] UNIT-BASED ADVANCED PRACTICE PROVIDER MODEL ON A MEDICAL ONCOLOGY UNIT
    Dalton, Abby
    Davis, Brandi
    Cullen, Sarah
    [J]. ONCOLOGY NURSING FORUM, 2020, 47 (02)
  • [8] A NURSING UNIT-BASED COMPETENCE MODEL FOR THE ADMINISTRATION OF BLOOD
    LIEB, M
    ZELENSKI, D
    TURANSKY, T
    SHOLTIS, L
    [J]. TRANSFUSION, 1995, 35 (10) : A70 - A70
  • [9] Antagonist Muscle Fatigue Decreases Agonist Motor Unit Synchronization
    DeFreitas, Jason M.
    Beck, Travis W.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2014, 46 (05): : 677 - 677
  • [10] UNIT-BASED TURN TEAM
    Kruge, Bethany
    Foster, Pat
    [J]. JOURNAL OF WOUND OSTOMY AND CONTINENCE NURSING, 2014, 41 : S42 - S42