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Impaired hand proprioception can lead to difficulties in performing fine motor tasks, thereby affecting activities of daily living. The majority of children with unilateral cerebral palsy (uCP) experience proprioceptive deficits, but accurately quantifying these deficits is challenging due to the lack of sensitive measurement methods. Robot-assisted assessments provide a promising alternative, however, there is a need for solutions that specifically target children and their needs. We propose two novel robotics-based assessments to sensitively evaluate active and passive position sense of the index finger metacarpophalangeal joint in children. We then investigate test-retest reliability and discriminant validity of these assessments in uCP and typically developing children (TDC), and further use the robotic platform to gain first insights into fundamentals of hand proprioception. Both robotic assessments were performed in two sessions with 1-h break in between. In the passive position sense assessment, participant's finger is passively moved by the robot to a randomly selected position, and she/he needs to indicate the perceived finger position on a tablet screen located directly above the hand, so that the vision of the hand is blocked. Active position sense is assessed by asking participants to accurately move their finger to a target position shown on the tablet screen, without visual feedback of the finger position. Ten children with uCP and 10 age-matched TDC were recruited in this study. Test-retest reliability in both populations was good (intraclass correlation coefficients (ICC) >0.79). Proprioceptive error was larger for children with uCP than TDC (passive: 11.49° ± 5.57° vs. 7.46° ± 4.43°, = 0.046; active: 10.17° ± 5.62° vs. 5.34° ± 2.03°, < 0.001), indicating discriminant validity. The active position sense was more accurate than passive, and the scores were not correlated, underlining the need for targeted assessments to comprehensively evaluate proprioception. There was a significant effect of age on passive position sense in TDC but not uCP, possibly linked to disturbed development of proprioceptive acuity in uCP. Overall, the proposed robot-assisted assessments are reliable, valid and a promising alternative to commonly used clinical methods, which could help gain a better understanding of proprioceptive impairments in uCP, facilitating the design of novel therapies.
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http://dx.doi.org/10.3389/fnhum.2022.895080 | DOI Listing |
Med Eng Phys
October 2025
Mechatronics Engineering Department, Sakarya University of Applied Sciences, Serdivan, Sakarya, 54600, Sakarya, Turkey; Systems Engineering Department, Military Technological College, Al Matar, Muscat, 111, Muscat, Oman. Electronic address:
Balance is a critical component of daily activities and overall quality of life. This study aims to develop a cost-effective exercise system for the rehabilitation of balance disorders by combining a sensor module with target-oriented video games. The system, designed using a microcontroller-controlled sensor module and Unity game engine, features a game component that provides visual feedback and is synchronized with the platform movements.
View Article and Find Full Text PDFNeuron
September 2025
Shanghai Stomatological Hospital & School of Stomatology, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China. Electronic address:
Existing treatments for chronic pain often prove ineffective and carry adverse side effects, highlighting the need for better analgesics, including non-pharmacological treatments. We demonstrate that transcutaneous electrical nerve stimulation (TENS), when repeatedly applied during the early phase of nerve injury in mice, produces sustained analgesic effects by activating the dorsal column nucleus (DCN)-thalamic-cortical pathway, which transmits vibration, discriminative touch, and proprioception. Mechanistically, TENS selectively activates glutamatergic neurons in the DCN (DCN) via exciting Aβ low-threshold mechanoreceptors (Aβ-LTMRs) in dorsal root ganglia (DRGs).
View Article and Find Full Text PDFMusculoskelet Sci Pract
September 2025
School of Allied Health, Sport & Social Work, Griffith University, Queensland, Australia.
Background: Female athletes are more susceptible to sports-related concussions and experience greater and prolonged symptomatology. Changes in the cervico-vestibular systems have been observed in the acute phase post-concussion, but it is unknown if residual impairments persist in the following 12 months.
Objectives: To determine if there was an association between baseline screening of the cervical spine, vestibular and oculomotor systems in female athletes with and without a history of concussion.
PLoS One
September 2025
Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada.
Stroke significantly contributes to long-term disability, one of the problems is with impaired balance control, increasing the risk of falls. The risk of falls may be mitigated using reactive balance training (RBT) which has been shown to effectively reduce fall risk by enhancing reactive stepping following repeated balance perturbations. However, the optimal RBT intensity for people with chronic stroke remains unknown.
View Article and Find Full Text PDFBiol Cybern
September 2025
Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, 61801, IL, USA.
In this article, a biophysically realistic model of a soft octopus arm with internal musculature is presented. The modeling is motivated by experimental observations of sensorimotor control where an arm localizes and reaches a target. Major contributions of this article are: (i) development of models to capture the mechanical properties of arm musculature, the electrical properties of the arm peripheral nervous system (PNS), and the coupling of PNS with muscular contractions; (ii) modeling the arm sensory system, including chemosensing and proprioception; and (iii) algorithms for sensorimotor control, which include a novel feedback neural motor control law for mimicking target-oriented arm reaching motions, and a novel consensus algorithm for solving sensing problems such as locating a food source from local chemical sensory information (exogenous) and arm deformation information (endogenous).
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