| Literature DB >> 35310255 |
Armin H Paravlic1,2.
Abstract
Dynamic stability of the knee and weakness of the extensor muscles are considered to be the most important functional limitations after anterior cruciate ligament (ACL) injury, probably due to changes at the central (cortical and corticospinal) level of motor control rather than at the peripheral level. Despite general technological advances, fewer contraindicative surgical procedures, and extensive postoperative rehabilitation, up to 65% of patients fail to return to their preinjury level of sports, and only half were able to return to competitive sport. Later, it becomes clear that current rehabilitation after knee surgery is not sufficient to address the functional limitations after ACL reconstruction even years after surgery. Therefore, new therapeutic tools targeting the central neural system, i.e., the higher centers of motor control, should be investigated and integrated into current rehabilitation practice. To improve motor performance when overt movement cannot be fully performed (e.g., due to pain, impaired motor control, and/or joint immobilization), several techniques have been developed to increase physical and mental activation without the need to perform overt movements. Among the most popular cognitive techniques used to increase physical performance are motor imagery and action observation practices. This review, which examines the available evidence, presents the underlying mechanisms of the efficacy of cognitive interventions and provides guidelines for their use at home.Entities:
Keywords: AO; MI; mental simulation; mirror therapy; neuromuscular function; physical function; rehabilitation; virtual reality
Year: 2022 PMID: 35310255 PMCID: PMC8928581 DOI: 10.3389/fpsyg.2022.826476
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Training variables with largest mean effect on maximal muscle strength.
| Training variables | Motor imagery vs no-exercise controls | |
| Highest value | Effect size | |
| Training period (weeks) | 4 | 0.88 |
| Training frequency (per week) | 3 | 1.22 |
| Number of sets (per training) | 2–3 | 0.90 |
| Number of repetitions (per set) | 25 | 1.18 |
| Number of repetitions (per one session) | 50 | 1.18 |
| Number of repetitions (per study) | 1,000 | 1.18 |
| Training intensity (% of 1RM or MVC) | 100 | 0.92 |
| Time under tension (s) | 5 | 1.05 |
| Rest in between sets (s) | 20 | 1.20 |
| Rest in between repetitions (s) | 5 | 1.37 |
| Total training duration per study (min) | 300 | 1.07 |
| Total training duration per week (min) | 60–80 | 0.99 |
| Duration of one training session (min) | 15 | 1.04 |
The content of this table is based on individual training variables with no respect for interaction between training variables.
1RM one-repetition maximum, MVC maximum voluntary contraction.
FIGURE 1Illustration of: (A) action observation; (B) motor imagery; and (C) virtual reality, training setup respectively.