Anatomical descriptions of the hand have failed to explain the vulnerabilities and unsatisfactory outcomes to even slight damage to its network of tendinous interconnections. We propose that these classical anatomical descriptions do not capture the severe functional interdependence among its multiple elements. We will use an alternative structural inference approach base on bioinformatic testing of cadaver specimens to find the sensitivities and vulnerabilities of the tendinous apparatus. Hypothesis I: Classical anatomical descriptions of the tendinous apparatus do not capture the interdependencies among tendons and therefore fail to explain the vulnerability of finger function to injury. Hypothesis II: Anatomical descriptions inferred directly from finger force and motion data are better than classical descriptions at capturing the interdependencies among tendons and explain how injury results in deformity and pathologic finger motion.
Aim 1 : Quantify the fidelity of classical anatomical descriptions by comparing predicted vs. measured static fingertip forces and unloaded finger motions in a variety of postures.
Aim 2 : Mathematically infer alternative anatomical descriptions from cadaver data, and quantify their fidelity by comparing predicted vs. measured static fingertip forces and unloaded finger motions in a variety of postures.
Aim 3 : Validate the clinical usefulness of the best resulting anatomical descriptions by performing selective injuries in cadaver hands, and comparing predicted vs. measured deformity and pathologic finger motion. This work is made possible by our novel and validated data-driven bioinformatics approach to infer the functional structure of complex physical systems by autonomously interrogating them. We will infer anatomical descriptions of the fingers and tendinous apparatus by measuring fingertip forces and motion in response to a minimal number of automatically generated tendon tensions and excursions, respectively, delivered by a computer-controlled cadaver actuation system. Future Aims: Establishing the structure, function and vulnerabilities of the tendinous apparatus will have great clinical impact. This work will lead to understanding why and how injuries to the tendinous apparatus, or muscle imbalances, often result in deformity, pathologic finger motion and force deficits

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
7R01AR052345-04
Application #
7555267
Study Section
Special Emphasis Panel (ZRG1-MRS (01))
Program Officer
Panagis, James S
Project Start
2005-05-15
Project End
2009-04-30
Budget Start
2007-08-16
Budget End
2008-04-30
Support Year
4
Fiscal Year
2007
Total Cost
$262,219
Indirect Cost
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
Cohn, Brian A; Szedlák, May; Gärtner, Bernd et al. (2018) Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control. Front Comput Neurosci 12:62
Peppoloni, Lorenzo; Lawrence, Emily L; Ruffaldi, Emanuele et al. (2017) Characterization of the disruption of neural control strategies for dynamic fingertip forces from attractor reconstruction. PLoS One 12:e0172025
Niu, Chuanxin M; Jalaleddini, Kian; Sohn, Won Joon et al. (2017) Neuromorphic meets neuromechanics, part I: the methodology and implementation. J Neural Eng 14:025001
Hagen, Daniel A; Valero-Cuevas, Francisco J (2017) Similar movements are associated with drastically different muscle contraction velocities. J Biomech 59:90-100
Reyes, Alexander; Laine, Christopher M; Kutch, Jason J et al. (2017) Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies. Front Comput Neurosci 11:17
Jalaleddini, Kian; Minos Niu, Chuanxin; Chakravarthi Raja, Suraj et al. (2017) Neuromorphic meets neuromechanics, part II: the role of fusimotor drive. J Neural Eng 14:025002
Lawrence, Emily L; Peppoloni, Lorenzo; Valero-Cuevas, Francisco J (2017) Sex differences in leg dexterity are not present in elite athletes. J Biomech 63:1-7
Valero-Cuevas, Francisco J; Santello, Marco (2017) On neuromechanical approaches for the study of biological and robotic grasp and manipulation. J Neuroeng Rehabil 14:101
Nagamori, Akira; Valero-Cuevas, Francisco J; Finley, James M (2016) Unilateral Eccentric Contraction of the Plantarflexors Leads to Bilateral Alterations in Leg Dexterity. Front Physiol 7:582
Brock, Oliver; Valero-Cuevas, Francisco (2016) Transferring synergies from neuroscience to robotics: Comment on ""Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands"" by M. Santello et al. Phys Life Rev 17:27-32

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