Muscle-specific reticulospinal contributions to limb-trunk coordination during standing arm curls in strength-trained and untrained individuals
Inubashiri, N.; Shinzaki, S.; Kanehisa, H.; Isaka, T.; Maeo, S.
Show abstract
Limb-trunk coordination plays an essential role in daily actions. The reticulospinal excitability of limb muscles has been suggested to be modulated by long-term motor experience, such as strength training. However, it remains unclear whether reticulospinal contributions in the limb and trunk muscles during limb-trunk coordinated movements are modulated by strength training. This study aimed to determine whether reticulospinal contributions to limb-trunk coordination differ between strength-trained and untrained individuals. Fifteen long-term ([≥]3 yrs) strength-trained and 15 untrained healthy men participated in this study. Participants performed a rapid bilateral arm-curl task while standing, using a load corresponding to 35% of their one-repetition maximum, in response to visual, visual-auditory (80 dB), or visual-startling (115 dB) stimuli. Electromyography (EMG) was recorded from the right biceps brachii (BB) and erector spinae (ES) muscles during the task. In the trained group, EMG onset of the ES was closer to that of the BB than in the untrained group, indicating tighter temporal coordination between the limb prime mover and trunk postural muscles in strength-trained individuals. In both groups, visual-startling stimuli shortened the EMG onset of both the BB and ES, suggesting reticulospinal contributions to both muscles. Notably, the reduction in EMG onset of the BB induced by the startling stimulus was smaller in the trained group than in the untrained group, whereas no difference between groups was observed for the ES. These findings suggest that long-term strength training may modify limb-trunk muscle coordination during standing arm curls and may be associated with muscle-specific adaptations in reticulospinal contributions.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Changes in Motor Unit Activity of Co-activated Muscles During Dynamic Force Field Adaptation 96%
- Persistent Inward Currents Increase With The Level Of Voluntary Drive In Plantar Flexor Low-Threshold Motor Units 96%
- Kinematic and neuromuscular characterization of cognitive involvement in gait control in healthy young adults 95%
Similar papers in this journal
- Effect of An Inverted Seated Position with Upper Arm Blood Flow Restriction on Measures of Elbow Flexors Neuromuscular Performance 96%
- Direction and distance dependency of reaching movements of lower limb 96%
- Are isokinetic leg torques and kick velocity reliable predictors for competitive success in taekwondo athletes? 95%
Similar papers in this journal
- Reliability of transcranial magnetic stimulation-evoked responses on knee extensor muscles during cycling 95%
- Metaplastic neuromodulation via transcranial direct current stimulation has no effect on corticospinal excitability and neuromuscular fatigue 95%
- Effects of arm weight support on neuromuscular activation during reaching in chronic stroke patients 94%
Similar papers in this journal
- Muscle activity of cutting manoeuvres and soccer inside passing suggests an increased groin injury risk during these movements 95%
- Neuromuscular fatigue and recovery after strenuous exercise depends on skeletal muscle size and stem cell characteristics 95%
- Tactile versus Motor Imagery: Differences in Corticospinal Excitability Assessed with single-pulse TMS 95%
Similar papers in this journal
- Perception of effort during an isometric contraction is influenced by prior muscle lengthening or shortening 96%
- Differential changes in the effective neural drive following new motor skill acquisition between vastus lateralis and medialis 96%
- Single-session measures of quadriceps neuromuscular function are reliable in healthy females and unaffected by age 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.