Neural adaptations with chronic physical activity
Abstract
Chronic activity patterns, such as strength training, limb immobilization, and aging, produce marked adaptations in both the muscular and nervous systems. In this brief review, some of the involved mechanisms are examined as they are revealed through studies on the maximality, specificity, and pattern of the neural drive to muscle. The studies on maximality indicate that it is difficult to activate maximally a muscle by voluntary command, the capacity varies across muscles, tasks, and training, and the maximum discharge rates of motor neurons decreases with immobilization and increases with strength training. The data on specificity demonstrate that: strength can be increased by training with imagined contractions; the velocity specificity of isokinetic training is evident with intended contractions; the strength training influences the untrained homologous muscle in the contralateral limb; the bilatral deficit can become a bilateral facilitation with appropriate training; and that eccentric contractions appear to involve a different activation scheme compared to isometric and concentric contractions. Finally, the literature on the pattern of the neural drive suggests that: coactivation varies with training and often decreases as skill level increases; measures of motor-unit synchronization reveal changes in neuronal connectivity with physical training; the reflex potentiation varies across muscles, individuals, and activity patterns; the modulation of the H-reflex amplitude with training involves changes in the motor neuron; and the motor neurons exhibit a bistable, excitability property that may be influenced by exercise. Despite the breadth of this evidence, there remain substantial gaps in our knowledge, particularly regarding the symmetry of adaptations with increased and decreased chronic physical activity.
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There is a delay in muscular hypertrophy as a result of exercise, and initial gains within the first few weeks of a training programme are due to neural factors.
“It is widely accepted that there is a delay in muscular hypertrophy as a result of exercise, and initial gains within the first few weeks of any training programme will be as a result of neural factors (Enoka 1997)”
From Physical activity and exercise for chronic pain in adults: an overview of Cochrane Reviews (2017) · cites this paper as Enoka 1997
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- Authors
- Enoka, R. M.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Enoka, Roger M.
- ORCID
- Enoka, Roger M.
- Venue
- Journal of Biomechanics
- Publisher
- Elsevier BV
- Published
- 1997-05
- Volume
- 30
- Issue
- 5
- Pages
- 447-455
- ISSN
- 0021-9290 (ISSN-L)
- OpenAlex
- W2047446530
- Cited by
- 355
- References
- 114
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 8 · 2023: 3 · 2022: 9 · 2021: 4 · 2020: 7 · 2019: 11 · 2018: 6 · 2017: 19 · 2016: 14 · 2015: 15 · 2014: 16 · 2013: 19 · 2012: 10
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Biomechanics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ns020544-14)
- National Institute on Aging (R01AG009000, AG-09000)
- National Institute of Neurological Disorders and Stroke (NS-20544)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- motor unit discharge rate, resistance training, limb immobilization, aging, motor unit synchronization, coactivation, reflex potentiation, H-reflex, motor neuron excitability, motor learning, eccentric contraction, isokinetic training, neural specificity, voluntary activation
- MeSH terms
- Adaptation, Physiological, Animals, Physical Exertion, Humans, Motor Neurons, Muscle Contraction, Muscles, Nervous System Physiological Phenomena, Time Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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