Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Francisco J Valero-Cuevas"'
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008707 (2021)
Variability in muscle force is a hallmark of healthy and pathological human behavior. Predominant theories of sensorimotor control assume 'motor noise' leads to force variability and its 'signal dependence' (variability in muscle force whose amplitud
Externí odkaz:
https://doaj.org/article/b1bb9fdf07e64a198b79afc643ff2c68
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 1, p e1005884 (2018)
Involuntary force variability below 15 Hz arises from, and is influenced by, many factors including descending neural drive, proprioceptive feedback, and mechanical properties of muscles and tendons. However, their potential interactions that give ri
Externí odkaz:
https://doaj.org/article/bd45df8b00a245b8b03a1cf87f53079a
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0172025 (2017)
The Strength-Dexterity (SD) test measures the ability of the pulps of the thumb and index finger to compress a compliant and slender spring prone to buckling at low forces (
Externí odkaz:
https://doaj.org/article/5473ad2afb7441ce9f5118e51f63635a
Publikováno v:
Frontiers in Physiology, Vol 7 (2016)
Eccentric contractions can affect musculotendon mechanical properties and disrupt muscle proprioception, but their behavioral consequences are poorly understood. We tested whether repeated eccentric contractions of plantarflexor muscles of one leg af
Externí odkaz:
https://doaj.org/article/134841738fe0491f9b130e715bfb73ba
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 2, p e1004737 (2016)
Much debate has arisen from research on muscle synergies with respect to both limb impedance control and energy consumption. Studies of limb impedance control in the context of reaching movements and postural tasks have produced divergent findings, a
Externí odkaz:
https://doaj.org/article/f43d40e8d172488a914a33eb741974f7
Publikováno v:
Frontiers in Aging Neuroscience, Vol 7 (2015)
Parkinson’s disease (PD) is a progressive neurodegenerative disease affecting about 1-2% of the population over the age of 65. Individuals with PD experience gradual deterioration of dexterous manipulation for activities of daily living, however, c
Externí odkaz:
https://doaj.org/article/584b1acaa86945e3992a60a47ab64fcc
Autor:
Emily L Lawrence, Sudarshan eDayanidhi, Isabella eFassola, Philip Santos Requejo, Caroline eLeclercq, Carolee J Winstein, Francisco J Valero-Cuevas
Publikováno v:
Frontiers in Aging Neuroscience, Vol 7 (2015)
Understanding the mapping between individual outcome measures and the latent functional domains of interest is critical to a quantitative evaluation and rehabilitation of hand function. We examined whether and how the associations among six hand-spec
Externí odkaz:
https://doaj.org/article/8694a08ac7f04dcd93f46ee63deb9e80
Autor:
Francisco J. Valero-Cuevas, James Finley, Amy Orsborn, Natalie Fung, Jennifer L. Hicks, He (Helen) Huang, David Reinkensmeyer, Nicolas Schweighofer, Douglas Weber, Katherine M. Steele
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-22 (2024)
Abstract We present an overview of the Conference on Transformative Opportunities for Modeling in Neurorehabilitation held in March 2023. It was supported by the Disability and Rehabilitation Engineering (DARE) program from the National Science Found
Externí odkaz:
https://doaj.org/article/0fdc13f0d9e74b7d9c04438c16cacf51
Autor:
Emily L Lawrence, Isabella eFassola, Inge eWerner, Caroline eLeclercq, Francisco J Valero-Cuevas
Publikováno v:
Frontiers in Neurology, Vol 5 (2014)
Dexterous manipulation depends on using the fingertips to stabilize unstable objects. The Strength-Dexterity paradigm consists of asking subjects to compress a slender and compliant spring prone to buckling. The maximal level of compression (requirin
Externí odkaz:
https://doaj.org/article/af74d1b9f0ae4776a68fa9b01cc694f4
Autor:
David J. Lin, Deborah Backus, Stuti Chakraborty, Sook-Lei Liew, Francisco J. Valero-Cuevas, Carolynn Patten, R James Cotton
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Practicing clinicians in neurorehabilitation continue to lack a systematic evidence base to personalize rehabilitation therapies to individual patients and thereby maximize outcomes. Computational modeling— collecting, analyzing, and model
Externí odkaz:
https://doaj.org/article/acbc451c228c4269904803bd0b06379f