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Related Concept Videos

Knee Joint01:23

Knee Joint

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The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
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Cortical activity differs between position- and force-control knee extension tasks.

Peter C Poortvliet1,2,3, Kylie J Tucker1,4, Simon Finnigan5,6

  • 1Centre for Clinical Research Excellence in Spinal Pain, Injury and Health, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia.

Experimental Brain Research
|August 22, 2015
PubMed
Summary

Neural control differs between position- and force-control tasks. Force tasks show greater cortico-cortical coherence, while position tasks exhibit higher beta EEG power, indicating distinct brain involvement.

Keywords:
Cortico-cortical coherenceCorticomuscular coherenceElectroencephalographyElectromyographyKnee extensor musclesPostural control

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Physiology

Background:

  • Neural control mechanisms vary between position- and force-control tasks, with implications for fatigue and pain.
  • Cortical involvement is hypothesized to be less critical for postural control (position-control tasks) compared to force-production tasks.
  • The precise differences in cortical engagement between these task types remain incompletely understood.

Purpose of the Study:

  • To investigate and compare the degree of cortical involvement during position-control versus force-control tasks.
  • To examine differences in cortico-cortical coherence (CCC) and corticomuscular coherence (CMC) between the two task paradigms.
  • To explore task-specific modulations in electroencephalography (EEG) power and muscle activity.

Main Methods:

  • Seventeen adults performed submaximal knee extensor efforts under both position- and force-control conditions.
  • Electroencephalography (EEG) recorded brain activity, and surface electromyography (sEMG) captured muscle activity from knee extensors and flexors.
  • Calculated cortico-cortical coherence (CCC) and corticomuscular coherence (CMC) in beta and gamma frequency bands, alongside EEG power and muscle activity.

Main Results:

  • Cortico-cortical coherence (CCC) was significantly greater across distributed brain regions during the force-control task.
  • Higher beta electroencephalography (EEG) power was observed in the left hemisphere during the position-control task.
  • While averaged corticomuscular coherence (CMC) differed between tasks, individual CMC data showed no significant task-related differences; muscle activity and force output were comparable across tasks.

Conclusions:

  • The findings demonstrate distinct cortical contributions to the neural control of force- versus position-control tasks.
  • Differential cortical engagement may underlie previously observed variations in performance outcomes between these task types.
  • This research highlights the nuanced role of the cortex in adapting motor commands to specific task goals.