Literature DB >> 12574445

The effects of digital anesthesia on force control using a precision grip.

Joël Monzée1, Yves Lamarre, Allan M Smith.   

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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Year:  2003        PMID: 12574445     DOI: 10.1152/jn.00434.2001

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  60 in total

1.  Memory for fingertip forces: passive hand muscle vibration interferes with predictive grip force scaling.

Authors:  Dennis A Nowak; Karin Rosenkranz; Joachim Hermsdörfer; John Rothwell
Journal:  Exp Brain Res       Date:  2004-01-13       Impact factor: 1.972

2.  Neuronal activity in somatosensory cortex related to tactile exploration.

Authors:  Pascal Fortier-Poisson; Allan M Smith
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

3.  Correlation of fingertip shear force direction with somatosensory cortical activity in monkey.

Authors:  Pascal Fortier-Poisson; Jean-Sébastien Langlais; Allan M Smith
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

4.  Motor control goes beyond physics: differential effects of gravity and inertia on finger forces during manipulation of hand-held objects.

Authors:  Vladimir M Zatsiorsky; Fan Gao; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-12-04       Impact factor: 1.972

5.  Interlimb and within limb force coordination in static bimanual manipulation task.

Authors:  Slobodan Jaric; Jeffrey J Collins; Rahul Marwaha; Elizabeth Russell
Journal:  Exp Brain Res       Date:  2005-08-03       Impact factor: 1.972

6.  Prehension stability: experiments with expanding and contracting handle.

Authors:  Vladimir M Zatsiorsky; Fan Gao; Mark L Latash
Journal:  J Neurophysiol       Date:  2005-11-30       Impact factor: 2.714

7.  Neurophysiology of prehension. II. Response diversity in primary somatosensory (S-I) and motor (M-I) cortices.

Authors:  Esther P Gardner; Jin Y Ro; K Srinivasa Babu; Soumya Ghosh
Journal:  J Neurophysiol       Date:  2006-11-08       Impact factor: 2.714

8.  Effect of human grip strategy on force control in precision tasks.

Authors:  Michelle N McDonnell; Michael C Ridding; Stanley C Flavel; Timothy S Miles
Journal:  Exp Brain Res       Date:  2004-10-07       Impact factor: 1.972

9.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

10.  Circuits for grasping: spinal dI3 interneurons mediate cutaneous control of motor behavior.

Authors:  Tuan V Bui; Turgay Akay; Osama Loubani; Thomas S Hnasko; Thomas M Jessell; Robert M Brownstone
Journal:  Neuron       Date:  2013-04-10       Impact factor: 17.173

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