Errors in reaction tasks are followed by a negative component of the event-related brain potential (ERP), the error negativity (Ne), which is thought to be a correlate of error detection. In the present study we show that, in tasks that induce different types of errors, the amplitude of the Ne was reduced in elderly (54-65 years old) compared with young subjects (19-25 years old). This reduction was also seen in single trials, as were computed for one of the visual tasks. Moreover, in this data set, the single-trial Ne was also delayed for the elderly compared with the young. These data suggest an alteration of error detection in the elderly, which is only marginally reflected in performance.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s002210100712 | DOI Listing |
J Vis Exp
December 2024
School of Life Science, Beijing University of Chinese Medicine;
Single cell Ca imaging is essential for the study of Ca channels activated by various stimulations like temperature, voltage, native compound and chemicals et al. It primarily relies on microscopy imaging technology and the related Ca indicator Fura-2/AM (AM is the abbreviation for Acetoxymethyl ester). Inside the cells, Fura-2/AM is hydrolyzed by esterases into Fura-2, which can reversibly bind with free cytoplasmic Ca.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Oncology, Jiangjin Central Hospital, Chongqing, 402260, People's Republic of China.
Objective: To analyze the independent associations of the Kidney Failure Risk Equation (KFRE) and neutrophil gelatinase-associated lipocalin (NGAL) with end-stage renal disease (ESRD) among patients with chronic kidney disease (CKD) stages 3-5 in China and evaluate their predictive values for ESRD.
Patients And Methods: A total of 716 patients with CKD stages 3-5 at the time of the initial renal medicine referral were retrospectively enrolled, and the study outcome was the observed incidence of ESRD at 2 years after the initial referral. Baseline characteristics were collected, and relevant laboratory indexes, including neutrophil gelatinase-associated lipocalin (NGAL), were detected.
Front Artif Intell
December 2024
Department of Pathology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Detecting programmed death ligand 1 (PD-L1) expression based on immunohistochemical (IHC) staining is an important guide for the treatment of lung cancer with immune checkpoint inhibitors. However, this method has problems such as high staining costs, tumor heterogeneity, and subjective differences among pathologists. Therefore, the application of deep learning models to segment and quantitatively predict PD-L1 expression in digital sections of Hematoxylin and eosin (H&E) stained lung squamous cell carcinoma is of great significance.
View Article and Find Full Text PDFFront Plant Sci
December 2024
School of Information Technology (IT) and Engineering, Melbourne Institute of Technology, Melbourne, VIC, Australia.
Introduction: Cotton, being a crucial cash crop globally, faces significant challenges due to multiple diseases that adversely affect its quality and yield. To identify such diseases is very important for the implementation of effective management strategies for sustainable agriculture. Image recognition plays an important role for the timely and accurate identification of diseases in cotton plants as it allows farmers to implement effective interventions and optimize resource allocation.
View Article and Find Full Text PDFTher Adv Drug Saf
January 2025
College of Pharmacy, Jinan University, Guangzhou, Guangdong 511436, China.
Background: Clarithromycin is a widely used antibiotic, but its safety profile, particularly in different age groups, remains inadequately explored.
Objectives: This study aims to characterize and illustrate the features of clarithromycin-related adverse events (AEs) across different age groups using the FDA Adverse Event Reporting System (FAERS) database, providing a reference for the clinical detection, prevention, and management of AEs in various age groups.
Design: A disproportionality analysis was performed using data from the FAERS database.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!