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Related Concept Videos

Somatosensation01:33

Somatosensation

38.2K
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.
38.2K
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

4.5K
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:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the...
4.5K
Overview of Somatic Sensory Pathways01:29

Overview of Somatic Sensory Pathways

5.2K
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...
5.2K

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Related Experiment Video

Updated: Aug 29, 2025

Somatosensory Event-related Potentials from Orofacial Skin Stretch Stimulation
06:56

Somatosensory Event-related Potentials from Orofacial Skin Stretch Stimulation

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Peripheral neurostimulation for encoding artificial somatosensations.

Giacomo Valle1

  • 1Laboratory for Neuroengineering, Department of Health Sciences and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland.

The European Journal of Neuroscience
|September 12, 2022
PubMed
Summary
This summary is machine-generated.

Neural stimulation effectively restores artificial touch and proprioception for sensory-motor disorders. Optimizing stimulation parameters enhances sensory feedback in bionic devices, improving prosthetic functionality and quality of life.

Keywords:
neural interfaceneuromodulationneuroprosthesisperipheral nerve stimulationsensory feedbacksomatosensation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Medicine

Background:

  • Direct neural stimulation of the peripheral or central nervous system is a key therapeutic strategy for neurological conditions.
  • Electrical activation of sensory pathways can restore artificial touch and proprioception, aiding individuals with sensory-motor disorders.

Purpose of the Study:

  • To review and report on adopted neural stimulation strategies for artificially encoding somatosensation into the peripheral nervous system.
  • To highlight the importance of real-time implementation of these strategies in bionic devices for prosthetic applications.

Main Methods:

  • Review of different sensory encoding schemes tested in patients.
  • Analysis of the impact of neural stimulation parameter modulation (pulse width, amplitude, frequency) on electrically induced sensations.
  • Focus on strategies targeting the somatosensory cortex and peripheral somatic nerves.

Main Results:

  • Properties of artificial sensations (location, quality, intensity) are dependent on stimulation parameter modulation.
  • Different sensory encoding schemes yield distinct effects and outcomes based on neural activation.
  • Neural stimulation serves as a direct communication channel with the human nervous system.

Conclusions:

  • Optimal neural stimulation paradigms are crucial for enhancing artificial sensory feedback in neuroprosthetic devices.
  • Effective sensory encoding can significantly improve prosthetic control, functionality, and the quality of life for individuals with sensorimotor disabilities.