Trial reportMedicine2016
Motor effort training with low exercise intensity improves muscle strength and descending command in aging.
Trial report in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Time Course of Quadriceps Strength Recovery After Total Knee Arthroplasty Is Influenced by Body Mass Index, Sex, and Age of Patients: Systematic Review and Meta-Analysis.Frontiers in medicine · 2022Pooled it
- Elderly may benefit more from motor imagery training in gaining muscle strength than young adults: A systematic review and meta-analysis.Frontiers in psychology · 2022Pooled it
- Effects and Dose-Response Relationships of Motor Imagery Practice on Strength Development in Healthy Adult Populations: a Systematic Review and Meta-analysis.Sports medicine (Auckland, N.Z.) · 2018Pooled it
- Effect of task-oriented training assisted by force feedback hand rehabilitation robot on finger grasping function in stroke patients with hemiplegia: a randomised controlled trial.Journal of neuroengineering and rehabilitation · 2024Trial
- The level of effort, rather than muscle exercise intensity determines strength gain following a six-week training.Life sciences · 2017Trial
- Motor imagery and resistance training improve strength in older adults through distinct effects on agonist-antagonist coordination.Frontiers in psychology · 2026Article
- The Effects of Motor Imagery on Trapeziometacarpal Osteoarthritis in Women During the Post-Surgical Immobilization Period: A Randomized Clinical Trial.Healthcare (Basel, Switzerland) · 2025Article
- Effects of motor imagery training on muscle strength and co-contraction for older adults.Frontiers in psychology · 2025Article
- Effect of maximal mental effort during elastic band training on neuromuscular adaptations in older women.Frontiers in aging · 2025Article
- Myoelectric, Myo-Oxygenation, and Myotonometry Changes during Robot-Assisted Bilateral Arm Exercises with Varying Resistances.Sensors (Basel, Switzerland) · 2024Article
- Aging-induced alterations in EEG spectral power associated with graded force motor tasks.Experimental brain research · 2023Article
- Using Motor Imagery to Access Alternative Attentional Strategies When Navigating Environmental Boundaries to Prevent Freezing of Gait - A Perspective.Frontiers in human neuroscience · 2022Article
- Reduced Neural Excitability and Activation Contribute to Clinically Meaningful Weakness in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- Changes in motor unit discharge patterns following strength training.The Journal of physiology · 2019Article
- The use of motor imagery training to retain the performance improvement following physical practice in the elderly.Experimental brain research · 2019Article
- A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training.IEEE transactions on bio-medical engineering · 2019Article
- Curved Walking Rehabilitation with a Rotating Treadmill in Patients with Parkinson's Disease: A Proof of Concept.Frontiers in neurology · 2017Article
- Erratum: Medicine, Volume 95, Issue 24: Erratum.Medicine · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
This study explored the effect of high mental effort training (MET) and conventional strength training (CST) on increasing voluntary muscle strength and brain signal associated with producing maximal muscle force in healthy aging. Twenty-seven older adults (age: 75 ± 7.9 yr, 8 women) were assigned into 1 of 3 groups: MET group-trained with low-intensity (30% maximal voluntary contraction [MVC]) physical exercise combined with MET, CST group-trained with high-intensity muscle contractions, or control (CTRL) group-no training of any kind. MET and CST lasted for 12 weeks (5 sessions/week). The participants' elbow flexion strength of the right arm, electromyography (EMG), and motor activity-related cortical potential (MRCP) directly related to the strength production were measured before and after training. The CST group had the highest strength gain (17.6%, P <0.001), the MET group also had significant strength gain (13.8%, P <0.001), which was not statistically different from that of the CST group even though the exercise intensity for the MET group was only at 30% MVC level. The CTRL group did not have significant strength changes. Surprisingly, only the MET group demonstrated a significant augmentation in the MRCP (29.3%, P <0.001); the MRCP increase in CST group was at boarder-line significance level (12.11%, P = 0.061) and that for CTRL group was only 4.9% (P = 0.539). These results suggest that high mental effort training combined with low-intensity physical exercise is an effective method for voluntary muscle strengthening and this approach is especially beneficial for those who are physically weak and have difficulty undergoing conventional strength training.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.