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NIHNATIONAL CENTER FOR COMPLEMENTARY & INTEGRATIVE HEALTHR01

CRCNS: Computational modeling to predict afferent firing to deep pressure touch

Active
Institution
UNIVERSITY OF VIRGINIA, VA
Principal investigator
Gregory John Gerling
Funding
$452K
Duration
2024–2028
Open portfolio

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Abstract

Deep pressure touch can be pleasant and calming, although sometimes intense. It is often experienced in interpersonal touch, such as a hug, and is commonly used in manual therapy and massage to relieve musculoskeletal pain. Understanding the neuronal mechanisms underlying chronic musculoskeletal pain is a key health concern. Physical therapists commonly use deep pressure touch in their patients with musculoskeletal pain. Deep pressure touch activates different types of mechanoreceptors in skin, muscles, joints, and fascia. This project will investigate how deep pressure touch is encoded by peripheral neural afferents - to elucidate how individual subtypes respond to such manipulation, as well as how they work together as a population. The longer-term goal is to uncover correspondences with the encoding of tissue stiffness and tension, giving rise to musculoskeletal discomfort, including myofascial pain. The main objective of this project is to develop computational stimulus-response models of firing in mechanosensitive afferent subtypes to deep pressure touch in humans. In comparing model predictions to afferent firing, obtained via microneurography before and after soft tissue manipulation, or massage, this effort will seek to attribute changes to tissue mechanics and/or neuronal mechanisms. The proposed methods combine microneurography recordings from human peripheral nerves, bodily physiological responses, and perceptual judgments, with computational models of time-series relationships between tissue deformation and neural firing, as well as computer vision tracking of tissue deformation. Microneurography is highly informative about human peripheral nerve activity, but limited by the problem of sparse sampling, thus a computational approach is vital to fill in gaps at individual afferent subtype and population levels. This project focuses on recording from the peroneal nerve, which projects widely throughout the lower leg, in particular the front and lateral sides of the calf, and the upper foot, which are sites highly relevant to musculoskeletal pain. From a clinical standpoint, the anterior of the lower leg is implicated in shin splits, the lateral posterior of the lower leg is tied to sprained ankles, and the posterior of the foot and calf are tied to calf strain and Achilles tendinosis. These conditions are frequently addressed via soft tissue manipulation. Overall, the results of this work seek to uncover novel, fundamental insights into human somatosensation, and impact non-pharmaceutical treatment of musculoskeletal pain.

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R01NATIONAL CENTER FOR COMPLEMENTARY & INTEGRATIVE HEALTHSpecial Emphasis Panel[ZRG1-BN-P(50)R]pressurepainfiringlegtouchafferentmusculoskeletal painmusculoskeletal

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