Literature DB >> 31648022

EEG-ERP dynamics in a visual Continuous Performance Test.

Diana Karamacoska1, Robert J Barry2, Frances M De Blasio2, Genevieve Z Steiner3.   

Abstract

Brain dynamics research has highlighted the contributions of the ongoing EEG to ERP and behavioural responses. This study examined the effects of state-related EEG changes, from rest to the task and within the task, on stimulus-response efforts in a visual Continuous Performance Test (CPT). EEG was recorded from fifty-six adults at rest with eyes-closed (EC) then eyes-open (EO), and during the CPT. Principal Components Analyses decomposed the EEG obtained from EC, EO and the task-based periods immediately pre-cue (PC) and pre-imperative (PI), and the ERPs to the cued Go/NoGo imperatives. EC amplitudes were correlated with Go/NoGo ERP amplitudes and behavioural outcomes. EEG amplitude changes from EO to PC, and from PC to PI, were assessed as predictors of these response measures. Longer mean reaction time (RT) was associated with greater RT variability (RTV) and reduced Go P2. The two EC alpha components correlated positively with RTV, and NoGo P1 and P2 positivity. Delta/theta amplitude reductions from PC to PI predicted Go N1-1 and NoGo N2b enhancements. Alpha-1 decreases from PC to PI predicted larger P2 and poorer NoGo accuracy rates, while alpha-3 decrements positively predicted NoGo P1. These findings highlight the ongoing alpha arousal effects on stimulus-response efforts, and the low frequency shifts in the cue to imperative interval associated with stimulus anticipation and response preparation. These relationships offer novel insights into the effects of pretask EEG activity, and within-task EEG changes, on attention and cognitive control processes. Crown
Copyright © 2019. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attention; Brain dynamics; Cognition; Continuous Performance Test (CPT); Electroencephalography (EEG); Event-related potentials (ERPs); Principal components analysis (PCA)

Mesh:

Year:  2019        PMID: 31648022     DOI: 10.1016/j.ijpsycho.2019.08.013

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  4 in total

1.  Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State.

Authors:  Povilas Tarailis; Frances M De Blasio; Dovile Simkute; Inga Griskova-Bulanova
Journal:  J Pers Med       Date:  2022-05-29

2.  Neural Bases of Age-Related Sensorimotor Slowing in the Upper and Lower Limbs.

Authors:  Uros Marusic; Manca Peskar; Kevin De Pauw; Nina Omejc; Gorazd Drevensek; Bojan Rojc; Rado Pisot; Voyko Kavcic
Journal:  Front Aging Neurosci       Date:  2022-05-03       Impact factor: 5.702

3.  Does transcranial direct current stimulation enhance cognitive performance in Parkinson's disease mild cognitive impairment? An event-related potentials and neuropsychological assessment study.

Authors:  Serkan Aksu; Atilla Uslu; Pınar İşçen; Emine Elif Tülay; Huzeyfe Barham; Ahmet Zihni Soyata; Asli Demirtas-Tatlidede; Gülsen Babacan Yıldız; Başar Bilgiç; Haşmet Hanağası; Adam J Woods; Sacit Karamürsel; Fatma Aytül Uyar
Journal:  Neurol Sci       Date:  2022-03-24       Impact factor: 3.307

4.  Attention-Deficit/Hyperactivity Disorder (ADHD): Integrating the MOXO-dCPT with an Eye Tracker Enhances Diagnostic Precision.

Authors:  Tomer Elbaum; Yoram Braw; Astar Lev; Yuri Rassovsky
Journal:  Sensors (Basel)       Date:  2020-11-09       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.