Multifinger manipulation requires interactions among numerous muscles to produce the necessary fingertip motions and forces. The muscles of the fingers (including the thumb) are considered redundant. Redundancy, which has long been called the central problem of motor control, also suggests robustness to loss of some muscles. Our work to date compels and enables us to systematically establish how the interactions among muscles within a finger, and the fingers within a grasp, fail to be robust to muscle dysfunction. Each Hypothesis and Aim addresses the production of a fundamental, yet currently not understood, component of multifinger grasp: slow finger motions and grasp equilibrium. To test each Hypothesis we will apply and extend our integrative approach combining behavioral studies, cadaveric experiments, mathematical analysis, and biomechanical modeling in two complementary Aims.
Aim 1 : Characterize the necessary mechanical interactions among finger muscles for motion;and quantify their robustness to loss of specific muscles. We will focus on how tendon tensions affect the feasibility of slow motions of the thumb, index and middle fingers for grasp acquisition. Hypothesis I: Lack of redundancy for grasp acquisition and release: Slow finger motions are not robust to loss of some muscles.
Aim 2 : Characterize the necessary interactions among tendon tensions for multifinger grasp equilibrium;and quantify their robustness to loss of specific muscles. We will focus on how tensions from individual muscles affect the equilibrium of two- and three-finger precision grasps (using the tips of thumb:index;and thumb:index:middle). We will also explore how simulated signal-dependent noise affects grasp equilibrium. Primary Hypothesis IIa: Lack of redundancy for static grasp forces: Grasp equilibrium is not robust to loss of some muscles. Secondary Hypothesis Hypothesis IIb: Lack of redundancy for static grasp forces: Muscle Signal- Dependent Noise further compromises grasp equilibrium. The understanding gained about multifinger grasp in this project will provide the much-needed neuro- mechanical foundation to understand the vulnerability (and rehabilitation) of dexterous manipulation in specific orthopedic/neurologic diseases, development and aging.

Public Health Relevance

Using our fingers to grasp and hold objects is necessary for us to perform most of our activities of daily living. However, because the anatomy of the hand is so complex, there is little known about how each muscle of the fingers contributes to grasping function. Our proposed project will combine anatomical studies, engineering science and clinical know-how to establish which muscles are most important, and therefore should be most protected, to improve the hand function of people suffering from the many disabilities of the hand.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR050520-10
Application #
8605454
Study Section
Motor Function, Speech and Rehabilitation Study Section (MFSR)
Program Officer
Boyce, Amanda T
Project Start
2003-12-01
Project End
2014-12-31
Budget Start
2014-01-01
Budget End
2014-12-31
Support Year
10
Fiscal Year
2014
Total Cost
$352,220
Indirect Cost
$121,049
Name
University of Southern California
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Inouye, Joshua M; Valero-Cuevas, Francisco J (2016) Muscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption. PLoS Comput Biol 12:e1004737
Valero-Cuevas, Francisco J; Klamroth-Marganska, Verena; Winstein, Carolee J et al. (2016) Robot-assisted and conventional therapies produce distinct rehabilitative trends in stroke survivors. J Neuroeng Rehabil 13:92
Lawrence, Emily L; Cesar, Guilherme M; Bromfield, Martha R et al. (2015) Strength, Multijoint Coordination, and Sensorimotor Processing Are Independent Contributors to Overall Balance Ability. Biomed Res Int 2015:561243
Duff, Susan V; Aaron, Dorit H; Gogola, Gloria R et al. (2015) Innovative evaluation of dexterity in pediatrics. J Hand Ther 28:144-9; quiz 150
Valero-Cuevas, F J; Cohn, B A; Yngvason, H F et al. (2015) Exploring the high-dimensional structure of muscle redundancy via subject-specific and generic musculoskeletal models. J Biomech 48:2887-96
Lightdale-Miric, Nina; Mueske, Nicole M; Lawrence, Emily L et al. (2015) Long term functional outcomes after early childhood pollicization. J Hand Ther 28:158-65; quiz 166
Lyle, M A; Valero-Cuevas, F J; Gregor, R J et al. (2015) Lower extremity dexterity is associated with agility in adolescent soccer athletes. Scand J Med Sci Sports 25:81-8
Pavlova, Elena; Hedberg, Ã…sa; Ponten, Eva et al. (2015) Activity in the brain network for dynamic manipulation of unstable objects is robust to acute tactile nerve block: An fMRI study. Brain Res 1620:98-106
Lightdale-Miric, Nina; Mueske, Nicole M; Dayanidhi, Sudarshan et al. (2015) Quantitative assessment of dynamic control of fingertip forces after pollicization. Gait Posture 41:1-6
Dayanidhi, Sudarshan; Valero-Cuevas, Francisco J (2014) Dexterous manipulation is poorer at older ages and is dissociated from decline of hand strength. J Gerontol A Biol Sci Med Sci 69:1139-45

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