Recent studies have revealed an upper bound in motor adaptation, beyond which other learning systems may be recruited. The factors determining this upper bound are poorly understood. The multisensory integration hypothesis states that this limit arises from opposing responses to visual and proprioceptive feedback. As individuals adapt to a visual perturbation, they experience an increasing proprioceptive error in the opposite direction, and the upper bound is the point where these two error signals reach an equilibrium. Assuming that visual and proprioceptive feedback are weighted according to their variability, there should be a correlation between proprioceptive variability and the limits of adaptation. Alternatively, the proprioceptive realignment hypothesis states that the upper bound arises when the (visually biased) sensed hand position realigns with the expected sensed position (target). When a visuo-proprioceptive discrepancy is introduced, the sensed hand position is biased toward the visual cursor, and the adaptive system counteracts this discrepancy by driving the hand away from the target. This hypothesis predicts a correlation between the size of the proprioceptive shift and the upper bound of adaptation. We tested these two hypotheses by considering natural variation in proprioception and motor adaptation across individuals. We observed a modest, yet reliable correlation between the upper bound of adaptation with proprioceptive measures (variability and shift). Although the results do not clearly favor one hypothesis over the other, they underscore the critical role of proprioception in sensorimotor adaptation. Although the sensorimotor system uses sensory feedback to remain calibrated, this learning process is constrained, limited by the maximum degree of plasticity. The factors determining this limit remain elusive. Guided by two hypotheses, we show that individual differences in the upper bound of adaptation in response to a visual perturbation can be predicted by the bias and variability in proprioception. These results underscore the critical, but often neglected role of proprioception in human motor learning.
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http://dx.doi.org/10.1152/jn.00585.2020 | DOI Listing |
Front Immunol
January 2025
Department of Hepatobiliary Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Introduction: Locally advanced pancreatic cancer (LAPC) is a borderline unresectable malignancy that presents significant treatment challenges. The management of LAPC remains a complex issue, particularly in patients who are not eligible for surgical resection.
Case: Here, we report the case of a 60-year-old woman diagnosed with LAPC through pathological biopsy who subsequently underwent targeted immunotherapy following the failure of a gemcitabine, oxaliplatin, and S-1 (G&S) chemotherapy regimen.
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View Article and Find Full Text PDFSensors (Basel)
January 2025
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China.
A communication network integrating multiple modes can effectively support the sustainable development of next-generation wireless communications. Integrated sensing, communication, and power transfer (ISCPT) represents an emerging technological paradigm that not only facilitates information transmission but also enables environmental sensing and wireless power transfer. To achieve optimal beamforming in transmission, it is crucial to satisfy multiple constraints, including quality of service (QoS), radar sensing accuracy, and power transfer efficiency, while ensuring fundamental system performance.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Anaesthesiology and Pain Department, Institut de Cancérologie de l'Ouest, 49055 Angers, France.
CAPTRANE evaluated the efficacy and tolerability of high-concentration capsaicin patch (HCCP) vs. oral pregabalin for the treatment of postsurgical neuropathic pain (PSNP) following breast cancer surgery. The study was designed with the aim of demonstrating noninferiority of one HCCP against daily pregabalin.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Non-stationary multi-armed bandit (MAB) problems have recently attracted extensive attention. We focus on the abruptly changing scenario where reward distributions remain constant for a certain period and change at unknown time steps. Although Thompson sampling (TS) has shown success in non-stationary settings, there is currently no regret bound analysis for TS with uninformative priors.
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