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Related Concept Videos

Somatosensation01:33

Somatosensation

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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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Sensory Perception: Organization of the Somatosensory System01:11

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The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
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Overview of Somatic Sensory Pathways01:29

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Somatic sensory or somatosensory pathways refer to the neural pathways that carry information related to touch, pressure, pain, temperature, and proprioception from the skin, muscles, tendons, and joints to the brain. These pathways involve several stages of processing and integration of sensory information.
The somatosensory system is divided into three main pathways: the dorsal (or posterior) column-medial lemniscus, spinothalamic (or anterolateral), and spinocerebellar pathways.
The dorsal...
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Major Somatic Sensory Pathways01:28

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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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Haptic Perception in Extreme Obesity: qEEG Study Focused on Predictive Coding and Body Schema.

Giuditta Gambino1, Giuseppe Giglia1,2, Girolamo Schiera1

  • 1Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90129 Palermo, Italy.

Brain Sciences
|December 1, 2020
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Summary

Obese individuals show poorer haptic perception due to altered brain activity in sensory integration areas. This study used electroencephalography (EEG) to investigate predictive coding in haptic perception (HP).

Keywords:
EEGbody schemahaptic perceptionmultisensory integrationobesityparietal cortexpower spectrum analysistemporal cortex

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Area of Science:

  • Neuroscience
  • Perception Science
  • Cognitive Science

Background:

  • Haptic perception (HP) involves manual exploration and multisensory integration for understanding physical properties.
  • Predictive coding in cortical areas builds and updates internal perceptual models using sensory input.
  • Altered body representation is linked to eating disorders, prompting investigation in obesity.

Purpose of the Study:

  • To explore predictive coding in haptic perception using obese subjects as a model.
  • To investigate differences in electroencephalographic (EEG) activity during a haptic task between obese and normally weighted individuals.

Main Methods:

  • Continuous electroencephalographic (EEG) recordings were performed during a haptic task.
  • Participants included normally weighted and obese subjects.
  • EEG power spectra were analyzed across different time intervals and brain regions.

Main Results:

  • Obese subjects exhibited poorer haptic performance compared to controls, despite similar exploration times.
  • A decrease in theta, alpha, and beta frequencies was observed in the right temporo-parietal areas of the obese group.
  • Gamma band activity significantly increased in the left frontal areas of obese individuals.

Conclusions:

  • Severe obesity may be associated with impaired haptic performance.
  • Altered activation in multisensory integrative cortical areas suggests potential interference with processing predicted sensory information.
  • Findings highlight potential disruptions in predictive coding mechanisms within the obese population.