Handedness is the most investigated form of functional hemispheric asymmetries, but its neural correlates remain unclear. Functional imaging studies suggest differences between left- and right-handers in ipsilateral activation during unilateral hand movements, but do not allow for conclusions on the temporal dimension. In the Tapley and Bryden task, subjects have to draw as many dots as possible on a paper within 20 s using either the left or the right hand. We adapted the task for use during EEG in 36 left- and 36 right-handers. Subjects performed a visually guided response task with each trial consisting of eight motor responses. We investigated the lateralized readiness potential (LRP) at the first and last response of the sequence. Overall, increasing complexity of sequences was associated with earlier and less negative LRP peaks. For the last response, right-handers showed more negative LRP peak amplitudes than left-handers. The effect of handedness on LRP peak amplitude in the first response was modulated by task complexity with a more negative LRP peak amplitude in right-handers than left-handers in simple, but not in medium or complex trials. This effect might be due to more symmetrical processing in right-handers with increasing task complexity. These findings complement previous imaging studies and add a new perspective on the relationship between laterality and schizophrenia, associated with less pronounced LRPs and a higher prevalence of left-handedness.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bbr.2019.02.021DOI Listing

Publication Analysis

Top Keywords

negative lrp
12
lrp peak
12
lateralized readiness
8
readiness potential
8
imaging studies
8
left- right-handers
8
peak amplitude
8
task complexity
8
right-handers
5
task
5

Similar Publications

Noncoding small RNAs are essential for modulating bacterial gene expression, especially under carbon and nutrient-limited conditions. In this study, by employing both in silico and molecular hybridization tools, we identified a carbon source responsive small RNA in A. baumannii DS002.

View Article and Find Full Text PDF

Role of hypothetical protein PA1-LRP in antibacterial activity of endolysin from a new phage PA1.

Front Microbiol

October 2024

State Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Institute of Biotechnology, Zhejiang University, Hangzhou, China.

Introduction: has emerged as a significant plant pathogen affecting various crops worldwide, causing substantial economic losses. Bacteriophages and their endolysins offer promising alternatives for controlling bacterial infections, addressing the growing concerns of antibiotic resistance.

Methods: This study isolated and characterized the phage PA1 and investigated the role of PA1-LRP in directly damaging bacteria and assisting endolysin PA1-Lys in cell lysis, comparing its effect to exogenous transmembrane domains following the identification and analysis of the PA1-Lys and the PA1-LRP based on whole genome analysis of phage PA1.

View Article and Find Full Text PDF
Article Synopsis
  • - This study explores how the brain controls and monitors motor responses, focusing on low-level sensory processing and high-level response evaluation using the Theory of Event Coding (TEC).
  • - Researchers used a visuomotor task to analyze movement-related cortical potentials (MRCPs) and identified different brain signal components related to stimulus processing, motor response preparation, and evaluation of response outcomes.
  • - The findings highlight the sequential activation of motor control signals and the role of statistical methods like Residual Iteration Decomposition (RIDE) and Multivariate Pattern Analysis (MVPA) in understanding the relationship between sensory processing and motor execution, particularly how the brain evaluates actions as they occur.
View Article and Find Full Text PDF

Deep learning for contour quality assurance for RTOG 0933: In-silico evaluation.

Radiother Oncol

December 2024

Department of Radiation Oncology, Corewell Health-East, Royal Oak, MI, United States. Electronic address:

Purpose: To validate a CT-based deep learning (DL) hippocampal segmentation model trained on a single-institutional dataset and explore its utility for multi-institutional contour quality assurance (QA).

Methods: A DL model was trained to contour hippocampi from a dataset generated by an institutional observer (IO) contouring on brain MRIs from a single-institution cohort. The model was then evaluated on the RTOG 0933 dataset by comparing the treating physician (TP) contours to blinded IO and DL contours using Dice and Haussdorf distance (HD) agreement metrics as well as evaluating differences in dose to hippocampi when TP vs.

View Article and Find Full Text PDF
Article Synopsis
  • - The study investigates how perimenopausal insomnia (PMI) affects visual search task performance, revealing noticeable response delays in individuals with PMI compared to healthy controls, despite similar accuracy levels.
  • - Using event-related potentials (ERPs), the research found specific neural differences: enhanced sensory processing (N1), reduced attentional orienting (N2pc), and slower motor execution (LRP), indicating cognitive processing disruptions unique to PMI.
  • - The results suggest that these ERP changes may serve as potential neural biomarkers for PMI, offering deeper insights into how sleep disturbances impact cognitive functions, particularly in visual tasks.
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!