Cognitive control activity is modulated by the magnitude of interference and pre-activation of monitoring mechanisms

Cespón, Jesús; Galdo‐Álvarez, Santiago; Dı́az, Fernando

doi:10.1038/srep39595

Cited by 9 publications

(12 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MFN/N450 peaks at ~450 ms in visual Stroop tasks (Tillman & Wiens, 2011; West & Bailey, 2012). It shows both base rate and sequence effects and is thought to reflect conflict monitoring (Cespón, Galdo-Álvarez, & Díaz, 2016; Larson et al, 2009; West & Bailey, 2012). Also in Stroop tasks, the amplitude of a subsequent component called the “frontal slow wave” (latency ~600-800 ms or later) is also sensitive to conflict and base rate (Bailey, West, & Anderson, 2010; West & Bailey, 2012).…”

Section: Introductionmentioning

confidence: 99%

Cognitive control and midline theta adjust across multiple timescales

2018

View full text Add to dashboard Cite

Cognitive control of attention in conflict situations is a basic skill that is vital for goal-oriented behavior. Behavioral evidence shows that conflict control occurs over successive trials as well as longer time scales of trial blocks, but the relation among time scales as well as their neural mechanisms are unclear. This study used measures of behavior, EEG, and a simple quantitative model to test the hypothesis that conflict control at the block level is not exclusively driven by control adjustments over successive trials. Young adults performed an auditory Simon task, and the base rate of compatible vs. incompatible trials was manipulated in separate blocks (25, 50, 75% compatible). EEG data were analyzed using independent component analysis (ICA) to define cortical mechanisms of any base rate and trial-by-trial sequence effects. Reaction time measures had both sequence and base rate effects. Two fronto-medial ICA components indexed sequence and base rate effects, with specific profiles for evoked potentials and oscillations in the theta and alpha frequency bands. Predictive modeling showed that sequence effects accounted for a minority of the variance on behavioral and ICA measures (all< 36%). The results strongly suggest that the base rate manipulation affected behavior and many neural measures beyond the influence of sequence effects.

show abstract

Section: Introductionmentioning

confidence: 99%

Cognitive control and midline theta adjust across multiple timescales

2018

View full text Add to dashboard Cite

show abstract

“…It has also been shown that the age-related behavioral was related to N2pc and N2cc subcomponent during visual search task ( 23 ). The N2pc was found to play a role in visuospatial processing of target stimuli and the control of non-target stimuli, and the N2cc was also correlated to inhibition of spatial response tendencies in the Simon task ( 25 ). Another similar biomarker, the anterior contralateral N2 subcomponent (N2ac) has been shown to predict sound localization performance and diffusion model parameters using multiple linear regression 5,26 ).…”

Section: Introductionmentioning

confidence: 94%

“…Moreover, researchers have reported that the N2cc deflected over central electrodes sites might coincide in time with the N2 posterior contralateral (N2pc), but the important finding of N2cc is not due to overlap of the N2pc with movement execution-related activity ( 14,22 ). The other hand, the anterior contralateral N2 subcomponent (N2ac) appears in order to regulation sound localization performance 7,24 ) and also emerges in the visual Simon task and ( 25 ).…”

Section: Introductionmentioning

confidence: 99%

How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis

Ghaderi-Kangavari

Parand

Ebrahimpour

et al. 2021

Preprint

View full text Add to dashboard Cite

Model-based cognitive neuroscience consolidates the cognitive processes and neurophysiological oscillations which are reflections of behavioral performance (e.g., reaction times and accuracy). Here, based on one of the well-known sequential sampling models (SSMs), named the diffusion decision model, and the nested model comparison, we explore the underlying latent process of spatial prioritization in perceptual decision processes, so that for estimating the model parameters (i.e. the drift rate, the boundary separation, and the non-decision time), a Bayesian hierarchical approach is considered, which allows inferences to be done simultaneously in the group and individual level. Moreover, well-established neural components of spatial attention which contributed to the latent process and behavioral performance in a visual face-car perceptual decision are detected based on the event-related potential (ERP) analysis. Our cognitive modeling analysis revealed that the non-decision time parameter provides a better fit to the top-down attention with the measures of two powerful weapons, i.e. the deviance information criterion called DIC score and R-square. Also, using multiple regression analysis on the contralateral minus neutral N2 sub-component (N2nc) at central electrodes and contralateral minus neutral alpha power (Anc) at posterior-occipital electrodes in the voluntary attention, it can be concluded that poststimulus N2nc can predict reaction time (RT) and non-decision time parameter relating to spatial prioritization. Whereas, the poststimulus Anc only can predict the RT and not the non-decision time relating to spatial prioritization. The result suggested that the difference of contralateral minus neutral oscillations was more important to reflect the modulation of the top-down spatial attention mechanism in comparison with the difference of ipsilateral minus neutral oscillations.

show abstract

“…We examine the capacity of four prominent psychological scales (conscientiousness, need for cognition, locus of control, and delay of gratification) to explain real effort provision. Participants performed three different tasks: the Slider (Gill & Prowse, 2012), AX (Gonthier, Macnamara, Chow, Conway, & Braver, 2016) and Simon tasks (Cespón, Galdo-Álvarez, & Díaz, 2016) in two conditions. In the extrinsic motivation condition, they were offered material incentives and in the intrinsic motivation condition, performance was not linked to rewards.…”

Section: Background and Motivationmentioning

confidence: 99%

“…If participants saw the letter "A" followed by the letter "X" (or the sequence A -X), they were instructed to press the blue key on their keyboard, if they saw any other sequence, they were told to press the orange key. 4 The "Simon Task" is a cognitive psychology task focused on inhibition and attention (Cespón, Galdo-Álvarez, & Díaz, 2016). In this task, participants saw an arrow on their computer screen, pointing either left or right.…”

Section: Experimental Designmentioning

confidence: 99%

The Difference Between Saying and Doing: Comparing Subjective and Objective Measures of Effort Among Fifth Graders

Apascaritei

Demel

Radl

2021

American Behavioral Scientist

View full text Add to dashboard Cite

The first goal of this study is to examine the capacity of prominent survey-based effort proxies to predict real effort provision in children. Do children who “talk the talk” of hard work also “walk the walk” and make costly effort investments? The second goal is to assess how objective and subjective effort measures are related under two conditions: intrinsic (nonincentivized) motivation and extrinsic (incentivized) motivation. We measure objective “real” effort using three tasks and subjective self-reported effort using four psychological characteristics (conscientiousness, need for cognition, locus of control and delay of gratification) to understand to what extent material incentives affect the cognitive effort of children with different self-reported personalities. Data stem from real-effort experiments carried out with 420 fifth grade students from primary schools in Madrid, Spain. We find that some of the subjective and objective effort measures are positively correlated. Yet the power of personality to predict real effort is only moderate, but greater and more so in the extrinsic than the intrinsic motivation condition. In particular, need for cognition and conscientiousness are the most relevant correlates of objective effort. Overall, we find there is a big difference between saying and doing when it comes to exerting effort, and this difference is even larger when there are no direct material incentives in place to reward effort provision.

show abstract

Cognitive control activity is modulated by the magnitude of interference and pre-activation of monitoring mechanisms

Cited by 9 publications

References 57 publications

Cognitive control and midline theta adjust across multiple timescales

Cognitive control and midline theta adjust across multiple timescales

How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis

The Difference Between Saying and Doing: Comparing Subjective and Objective Measures of Effort Among Fifth Graders

Contact Info

Product

Resources

About