AI Article Synopsis

  • During self-motion, our sensory systems receive constant information from various sources, necessitating the differentiation between self-induced and externally induced signals for successful navigation.
  • Previous research indicates that predictive coding may influence how we process self-generated sensory information, but the brain mechanisms involved in this during self-motion are not well understood.
  • In an experiment, participants engaged in path integration by actively reproducing a simulated self-motion while their brain activity was monitored, revealing that action influences sensory processing in specific brain regions and is dependent on the task at hand.

Article Abstract

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.

Download full-text PDF

Source
http://dx.doi.org/10.1167/19.11.13DOI Listing

Publication Analysis

Top Keywords

path integration
12
self-induced sensory
12
predictive coding
8
sensory
8
sensory signals
8
processing self-induced
8
bold activation
8
coding multisensory
4
multisensory path
4
integration task
4

Similar Publications

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 PDF

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 PDF

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.

View Article and Find Full Text PDF

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 PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!