AI Article Synopsis
Article Abstract
The processing of feedback is essential for learning, error detection, and correction. However, the underlying mechanisms of the feedback's characteristics, such as its reliability, valence, and expectations in the processing of error information, are not completely clear. The two degrees of feedback reliability, reliable feedback and unreliable feedback, respectively, were established by manipulating the feedback valence. The time course of event-related potentials (ERP) during the arrow flanker tasks was used to investigate the effects of feedback reliability and responses on brain activity. Three ERP components, the error-related negativity (ERN), feedback-related negativity (FRN), and P3, respectively, were measured. The impacts of feedback reliability and responses on ERN, FRN, and P3 had a different profile. Specifically, ERN and P3 are associated with the responses but not the feedback reliability, while FRN is associated with feedback reliability and feedback expectations but not the responses. The ERN, FRN, and P3 reflect distinct cognitive processes in the processing of error information.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/WNR.0000000000001944 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Restoration of Genuine Sensation and Proprioception of Individual Fingers Following Transradial Amputation with Targeted Sensory Reinnervation as a Mechanoneural Interface.
J Clin Med
January 2025
Department of Trauma Surgery, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
: Tactile gnosis derives from the interplay between the hand's tactile input and the memory systems of the brain. It is the prerequisite for complex hand functions. Impaired sensation leads to profound disability.
View Article and Find Full Text PDFTranslation and Validation of the Italian Version of the Team-Based Learning Student Assessment Instrument (TBL-SAI) in Nursing Students.
Nurs Rep
January 2025
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Giuseppe Campi Street, 41125 Modena, Italy.
: Team-based learning is an educational strategy that promotes active learning and student engagement through structured team activities. It contrasts with traditional teaching models by emphasizing student preparation and collaboration. The TBL-SAI is a reliable and valid instrument designed to evaluate students' attitudes towards TBL, assessing dimensions such as accountability, preference for lecture or team-based learning, and satisfaction with TBL.
View Article and Find Full Text PDFThe Role of Artificial Intelligence and Emerging Technologies in Advancing Total Hip Arthroplasty.
J Pers Med
January 2025
Sezione di Chirurgia Protesica ad Indirizzo Robotico-Unità di Traumatologia dello Sport, Ortopedia e Traumatologia, Fondazione Poliambulanza, 25124 Brescia, Italy.
Total hip arthroplasty (THA) is a widely performed surgical procedure that has evolved significantly due to advancements in artificial intelligence (AI) and robotics. As demand for THA grows, reliable tools are essential to enhance diagnosis, preoperative planning, surgical precision, and postoperative rehabilitation. AI applications in orthopedic surgery offer innovative solutions, including automated hip osteoarthritis (OA) diagnosis, precise implant positioning, and personalized risk stratification, thereby improving patient outcomes.
View Article and Find Full Text PDFPsychological Distress and Online Academic Difficulties: Development and Validation of Scale to Measure Students' Mental Health Problems in Online Learning.
Behav Sci (Basel)
December 2024
Department of Teacher Training, Faculty of Psychology and Educational Sciences, Alexandru Ioan Cuza University of Iasi, 700506 Iasi, Romania.
In the present study, a short instrument (eight-item self-report, five-point Likert scales) was developed and validated to assess self-perceived mental health problems in online learning. The participants were 398 Romanian university students from nine different faculties. The factor structure of the scale was assessed using Exploratory Factor Analysis (Principal Axis Factoring extraction method) and Confirmatory Factor Analysis.
View Article and Find Full Text PDFImage Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling.
Entropy (Basel)
January 2025
School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China.
With the increasing importance of securing images during network transmission, this paper introduces a novel image encryption algorithm that integrates a 3D chaotic system with V-shaped scrambling techniques. The proposed method begins by constructing a unique 3D chaotic system to generate chaotic sequences for encryption. These sequences determine a random starting point for V-shaped scrambling, which facilitates the transformation of image pixels into quaternary numbers.
View Article and Find Full Text PDFWant 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!