Abstract
Neural encoding of tactile features by the somatosensory system serves many important perceptual roles, including texture and object discrimination, feedback for precision grip and manipulation, and orofacial motor control for speech, gesture, and eating...
Highlights
Neural encoding of tactile features by the somatosensory system serves many important perceptual roles, including texture and object discrimination, feedback for precision grip and manipulation, and orofacial motor control for speech, gesture, and eating
While vibrotactile threshold testing has been used for nearly 100 years [1], data are limited concerning tactile sensitivity of the glabrous hand and perioral face in neurotypical children
The efficacy of an automatic single interval up-down (SIUD) adaptive procedure to estimate vibrotactile detection thresholds (VDT) has been shown for the glabrous hand and perioral skin in response to sinusoidal mechanical stimuli presented in randomized blocks at 5, 10, 50, 150, 250, and 300Hz for both children and young adults
Summary
Neural encoding of tactile features by the somatosensory system serves many important perceptual roles, including texture and object discrimination, feedback for precision grip and manipulation, and orofacial motor control for speech, gesture, and eating. Tactile feature encoding plays a central role in haptics and motor development, and maintenance of perceptual skills and fine motor control as the somatic body plan grows from infancy into adulthood. These rapidly conducting somatosensory channels play a key role in activity- and experience-dependent cortical neuroplasticity and recovery of motor function following injury to the brain (e.g., cerebrovascular stroke). While vibrotactile threshold testing has been used for nearly 100 years [1], data are limited concerning tactile sensitivity of the glabrous hand and perioral face in neurotypical children. The aim of this study was to expand the knowledge base of vibrotactile detection thresholds (VDT) in neurotypical children [age 10-13 years] and compare to adults [age 19 to 35 years] assessed using an automated adaptive single interval up-down (SIUD) algorithm in response to randomized blocks of sinusoidal stimulation (5, 10, 50, 150, 250, and 300 Hz) applied to the skin of the glabrous hand and perioral face.
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