Medicine and science in sports and exercise · 2026
The Effects of Neuromuscular Training and Additive Visual Biofeedback on Landing Biomechanics and Sensorimotor Brain Activity in Young Female Athletes.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Slutsky-Ganesh Alexis B, Chaput Meredith, Hogg Jennifer A, Zuleger Taylor M, Kim Howon, Diekfuss Jed A, Anand Manish, Schille Andrew, Dicesare Christopher, Warren Shayla M, Riehm Christopher D, Schnittjer Amber J, Farraye Byrnadeen T, Pierce Stephanie, Roe Jacob W, Bennison John, Barber Foss Kim D, Simon Janet E, Riley Michael A, Myer Gregory D, Grooms Dustin R
Аннотация
INTRODUCTION: Anterior cruciate ligament injuries are debilitating, often requiring surgical reconstruction and prolonged recovery. Female adolescent athletes are at particularly high risk for anterior cruciate ligament injury and display distinct neuromuscular control patterns during jump landing that further increase injury risk. Neuromuscular training (NMT) designed to reduce injury risk can be enhanced with automated movement corrective biofeedback to improve neuromuscular control and landing biomechanics; however, the central nervous system responses to targeted NMT that underlie adaptive biomechanical responses are not well-understood.
PURPOSE: This study aimed to identify the effects of NMT on landing biomechanics and task-related brain activity, examine the relationship of changes in these variables, and determine if additive visual biofeedback (augmented versus sham) provides a meaningful impact on injury-related outcomes.
METHODS: This study included 55 female middle- and high-school athletes (age mean = 15.73 ± 1.40 yr) who participated in ~6 wk of NMT (3×/wk; 18 sessions), which included up to 12 sessions of additive biofeedback (augmented: n = 28; sham: n = 27). Testing at pre- and post-NMT included a drop vertical jump task to assess landing biomechanics (sagittal and frontal plane hip and knee kinematics and kinetics) and a supine bilateral leg press task during functional magnetic resonance imaging to assess brain activity during a complex sensorimotor movement task.
RESULTS: NMT improved landing biomechanics (η 2 range = 0.04-0.41, P s < 0.049) and reduced task-related brain activity in sensorimotor regions ( Prange = 0.015-0.032). Pre-post increases in postcentral gyrus brain activity predicted a reduction in left knee peak abduction moment (odds ratio = 22.61, 95% confidence interval [2.41, 212.21], P = 0.048). Additive biofeedback did not appear to influence outcomes of interest.
CONCLUSIONS: NMT improved sensorimotor efficiency and landing biomechanics. However, increased somatosensory activity emerged as a critical predictor of improved landing patterns, highlighting the role of enhanced sensory processing in biomechanical risk-reduction.
PURPOSE: This study aimed to identify the effects of NMT on landing biomechanics and task-related brain activity, examine the relationship of changes in these variables, and determine if additive visual biofeedback (augmented versus sham) provides a meaningful impact on injury-related outcomes.
METHODS: This study included 55 female middle- and high-school athletes (age mean = 15.73 ± 1.40 yr) who participated in ~6 wk of NMT (3×/wk; 18 sessions), which included up to 12 sessions of additive biofeedback (augmented: n = 28; sham: n = 27). Testing at pre- and post-NMT included a drop vertical jump task to assess landing biomechanics (sagittal and frontal plane hip and knee kinematics and kinetics) and a supine bilateral leg press task during functional magnetic resonance imaging to assess brain activity during a complex sensorimotor movement task.
RESULTS: NMT improved landing biomechanics (η 2 range = 0.04-0.41, P s < 0.049) and reduced task-related brain activity in sensorimotor regions ( Prange = 0.015-0.032). Pre-post increases in postcentral gyrus brain activity predicted a reduction in left knee peak abduction moment (odds ratio = 22.61, 95% confidence interval [2.41, 212.21], P = 0.048). Additive biofeedback did not appear to influence outcomes of interest.
CONCLUSIONS: NMT improved sensorimotor efficiency and landing biomechanics. However, increased somatosensory activity emerged as a critical predictor of improved landing patterns, highlighting the role of enhanced sensory processing in biomechanical risk-reduction.