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Related Concept Videos

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

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The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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Motor and Sensory Areas of the Cortex01:14

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
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Somatosensory, Motor, and Association Cortex01:24

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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
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Association Areas of the Cortex01:21

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
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Related Experiment Video

Updated: Aug 12, 2025

Corticospinal Excitability Modulation During Action Observation
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Cortical Patterns Shift from Sequence Feature Separation during Planning to Integration during Motor Execution.

Rhys Yewbrey1,2, Myrto Mantziara1, Katja Kornysheva3,2

  • 1Bangor Imaging Unit, Bangor University, Bangor, Wales LL57 2AS, United Kingdom.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|February 1, 2023
PubMed
Summary
This summary is machine-generated.

The brain separates movement sequence features like order and timing during planning but integrates them during execution. This shift enables flexible, skilled motor control in areas like the premotor cortex.

Keywords:
MVPAfMRImotor controlplanningsequencetiming

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Area of Science:

  • Neuroscience
  • Motor Control
  • Cognitive Neuroscience

Background:

  • Skilled motor behavior, such as handwriting or playing music, involves performing sequences of movements from memory.
  • Previous research identified tuning in motor, premotor, and parietal regions for sequence features like order and timing.
  • The dynamic unfolding of this tuning across planning and execution phases remained largely unknown.

Purpose of the Study:

  • To investigate how cortical tuning to motor sequence features dynamically changes between planning and execution.
  • To differentiate the neural representation of sequence order and timing during preparation versus production.
  • To understand the neural basis of flexible adaptation in skilled motor sequences.

Main Methods:

  • Trained 24 healthy participants to produce five-element finger press sequences from memory.
  • Utilized a delayed sequence production paradigm with functional magnetic resonance imaging (fMRI).
  • Analyzed local cortical fMRI patterns during preparation (No-Go trials) and production (Go trials) to distinguish perimovement phases.

Main Results:

  • During planning, premotor and parietal areas showed increased tuning to either movement order or timing independently.
  • During execution, these regions exhibited patterns integrating both sequence order and timing features.
  • Timing-specific tuning was observed in ventral premotor, supplementary motor, and superior parietal areas during execution.

Conclusions:

  • A state shift occurs from feature separation during planning to feature integration during execution in motor cortical networks.
  • This neural dynamic supports the behavioral transfer of learned timing but not order to new sequence combinations.
  • Findings suggest a hierarchical control mechanism where sequence features are compiled dynamically for flexible motor output.