During self-motion through an environment, our sensory systems are confronted with a constant flow of information from different modalities. To successfully navigate, self-induced sensory signals have to be dissociated from externally induced sensory signals. Previous studies have suggested that the processing of self-induced sensory information is modulated by means of predictive coding mechanisms. However, the neural correlates of processing self-induced sensory information from different modalities during self-motion are largely unknown. Here, we asked if and how the processing of visually simulated self-motion and/or associated auditory stimuli is modulated by self-controlled action. Participants were asked to actively reproduce a previously observed simulated self-displacement (path integration). Blood oxygen level-dependent (BOLD) activation during this path integration was compared with BOLD activation during a condition in which we passively replayed the exact sensory stimulus that had been produced by the participants in previous trials. We found supramodal BOLD suppression in parietal and frontal regions. Remarkably, BOLD contrast in sensory areas was enhanced in a modality-specific manner. We conclude that the effect of action on sensory processing is strictly dependent on the respective behavioral task and its relevance.
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http://dx.doi.org/10.1167/19.11.13 | DOI Listing |
Insulin degrading enzyme (IDE) is a dimeric 110 kDa M16A zinc metalloprotease that degrades amyloidogenic peptides diverse in shape and sequence, including insulin, amylin, and amyloid-β, to prevent toxic amyloid fibril formation. IDE has a hollow catalytic chamber formed by four homologous subdomains organized into two ∼55 kDa N- and C-domains (IDE-N and IDE-C, respectively), in which peptides bind, unfold, and are repositioned for proteolysis. IDE is known to transition between a closed state, poised for catalysis, and an open state, able to release cleavage products and bind new substrate.
View Article and Find Full Text PDFEcol Evol
January 2025
Department of Ecology, Evolution, and Marine Biology University of California Santa Barbara Santa Barbara California USA.
Trade-offs between food acquisition and predator avoidance shape the landscape-scale movements of herbivores. These movements create landscape features, such as game trails, which are paths that animals use repeatedly to traverse the landscape. As such, these trails integrate behavioral trade-offs over space and time.
View Article and Find Full Text PDFBMC Med Educ
January 2025
School of Integrated Traditional Chinese and Western Medicine, Jining Medical University, Jining, 272067, China.
Background: The empathy of rural-oriented tuition-waived medical students (RTMSs) is closely related to the construction of good doctor-patient relationship and the quality of rural medical and health services. The purpose of this study is not only to explore the relationship between self-efficacy, learning burnout, willingness to fulfill the contract and empathy, but also to explore the mediating role of self-efficacy between learning burnout and empathy, and between willingness to fulfill the contract and empathy.
Methods: Four hundred ninety-five rural-oriented tuition-waived medical students from 3 medical universities in Shandong Province were selected as research subjects, and General self-efficacy scale (GSES), Learning burnout of university student (LBUS), Willingness to fulfill the contract scale and Jefferson Scale of Physician Empathy-student version (JSPE-S) were used to investigate.
Expert Rev Med Devices
January 2025
Division of Gastroenterology, P.D Hinduja Hospital, Mumbai, India.
Introduction: Wearables are electronic devices worn on the body to collect health data. These devices, like smartwatches and patches, use sensors to gather information on various health parameters. This review highlights current use and the potential benefit of wearable technology in patients with inflammatory bowel disease (IBD).
View Article and Find Full Text PDFSensors (Basel)
January 2025
Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen 518000, China.
This paper introduces a novel energy-efficient lightweight, void hole avoidance, localization, and trust-based scheme, termed as Energy-Efficient and Trust-based Autonomous Underwater Vehicle (EETAUV) protocol designed for 6G-enabled underwater acoustic sensor networks (UASNs). The proposed scheme addresses key challenges in UASNs, such as energy consumption, network stability, and data security. It integrates a trust management framework that enhances communication security through node identification and verification mechanisms utilizing normal and phantom nodes.
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