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Related Concept Videos

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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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 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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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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Sensory impulses related to touch, pressure, vibration, and proprioception from various body parts, such as the limbs, trunk, neck, and posterior head, travel to the cerebral cortex through the posterior column-medial lemniscus pathway. The pathway’s name derives from the two white-matter tracts that convey the impulses: the spinal cord's posterior column and the brainstem's medial lemniscus. First-order sensory neurons extend their axons into the spinal cord, forming the...
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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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Anatomical movements refer to the various actions or motions that can be performed by the body's joints and muscles. These movements are described using specific terms to provide a standardized way of discussing and understanding the range of motion at different joints.
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Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS
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Classification of Articulator Movements and Movement Direction from Sensorimotor Cortex Activity.

E Salari1, Z V Freudenburg1, M P Branco1

  • 1UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Scientific Reports
|October 4, 2019
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Summary
This summary is machine-generated.

Brain-computer interfaces (BCIs) can help paralyzed individuals communicate. This study shows brain activity patterns for different speech articulator movements can be accurately identified, paving the way for improved BCI control.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Severe paralysis severely limits communication.
  • Brain-computer interfaces (BCIs) offer a potential solution by translating brain activity into device control.
  • Developing BCIs for speech requires understanding neural signals related to articulation.

Purpose of the Study:

  • To investigate if neural activity patterns associated with different articulator movements are distinguishable.
  • To assess the feasibility of using these patterns for brain-computer interface (BCI) control.
  • To determine the cortical area required for distinguishing these neural patterns.

Main Methods:

  • Electrocorticography (ECoG) was used to record neural activity in 4 epilepsy patients.
  • Classification algorithms were applied to sensorimotor cortex activity patterns.
  • Distinctions were made between different articulator movements and tongue movement directions.

Main Results:

  • High classification accuracy was achieved: 92% for different articulators and 85% for tongue movement directions.
  • A small region of the sensorimotor cortex (approx. 1 cm²) was sufficient for accurate classification.
  • Neural recordings from limited cortical areas contain distinct information about articulator movements.

Conclusions:

  • Distinct neural activity patterns corresponding to different articulator movements can be identified.
  • This information holds significant potential for developing advanced BCIs for communication.
  • The findings support the use of localized sensorimotor cortex activity for BCI applications in individuals with paralysis.