The Effects of Digital Anesthesia on Force Control Using a Precision Grip
Abstract
A total of 20 right-handed subjects were asked to perform a grasp-lift-and-hold task using a precision grip. The grasped object was a one-degree-of-freedom manipuladum consisting of a vertically mounted linear motor capable of generating resistive forces to simulate a range of object weights. In the initial study, seven subjects (6 women, 1 man; ages 24–56 yr) were first asked to lift and hold the object stationary for 4 s. The object presented a metal tab with two different surface textures and offered one of four resistive forces (0.5, 1.0, 1.5, and 2.0 N). The lifts were performed both with and without visual feedback. Next, the subjects were asked to perform the same grasping sequence again after ring block anesthesia of the thumb and index finger with mepivacaine. The objective was to determine the degree to which an internal model obtained through prior familiarity might compensate for the loss of cutaneous sensation. In agreement with previous studies, it was found that all subjects applied significantly greater grip force after digital anesthesia, and the coordination between grip and load forces was disrupted. It appears from these data, that the internal model alone is insufficient to completely compensate for the loss of cutaneous sensation. Moreover, the results suggest that the internal model must have either continuous tonic excitation from cutaneous receptors or at least frequent intermittent reiteration to function optimally. A subsequent study performed with 10 additional subjects (9 women, 1 man; ages 24–49 yr) indicated that with unimpaired cutaneous feedback, the grasping and lifting forces were applied together with negligible forces and torques in other directions. In contrast, after digital anesthesia, significant additional linear and torsional forces appeared, particularly in the horizontal and frontal planes. These torques were thought to arise partially from the application of excessive grip force and partially from a misalignment of the two grasping fingers. These torques were further increased by an imbalance in the pressure exerted by the two opposing fingers. Vision of the grasping hand did not significantly correct the finger misalignment after digital anesthesia. Taken together, these results suggest that mechanoreceptors in the fingertips signal the source and direction of pressure applied to the skin. The nervous system uses this information to adjust the fingers and direct the pinch forces optimally for grasping and object manipulation.
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Without tactile somatosensory feedback, even simple manipulation tasks become clumsy and slow.
“without tactile somatosensory feedback, even simple manipulation tasks become clumsy and slow (12, 13).”
From A brain-computer interface that evokes tactile sensations improves robotic arm control (2021) · cites this paper as [12]
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- Authors
- Monzée, J., Lamarre, Y., & Smith, A. M.
- Affiliations
- Université de Montréal (CA)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2003-02-01
- Volume
- 89
- Issue
- 2
- Pages
- 672-683
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2013366385
- Cited by
- 266
- References
- 0
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 8 · 2023: 12 · 2022: 10 · 2021: 23 · 2020: 14 · 2019: 16 · 2018: 9 · 2017: 7 · 2016: 12 · 2015: 15 · 2014: 18 · 2013: 15 · 2012: 14
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Keywords
- precision grip, grip force control, skin sensation, internal models, mechanoreceptors, tactile feedback, mepivacaine, pinch strength, visual feedback, object weight perception
- MeSH terms
- Adult, Anesthetics, Local, Female, Fingers, Humans, Male, Middle Aged, Movement, Polyneuropathies, Pressure, Skin, Thumb, Touch, Hand Strength, Torque
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