Literature DB >> 29992484

Ocular signatures of proactive versus reactive cognitive control in young adults.

Verónica Mäki-Marttunen1, Thomas Hagen2, Samira Aminihajibashi2, Maja Foldal2, Maria Stavrinou2, Jens H Halvorsen2, Bruno Laeng2, Thomas Espeseth2,3.   

Abstract

During the execution of a cognitive task, the brain maintains contextual information to guide behavior and achieve desired goals. The AX-Continuous Performance Task is used to study proactive versus reactive cognitive control. Young adults tend to behave proactively in standard testing conditions. However, it remains unclear how interindividual variability (e.g., in cognitive and motivational factors) may drive people into more reactive or proactive control under the same task demands. We investigated the use of control strategies in a large population of healthy young adults. We computed the proactive behavioral index and consequently divided participants into proactive, reactive, and intermediate groups. We found that reactive participants were generally slower, presented lower context sensitivity, and larger response variability. Pupillary changes and blink rate index cognitive effort allocation. We measured, concomitantly to the task, the pupil size and frequency of blinks associated with the cue maintenance and response intervals. During the cue period, nonfrequent, nontarget cues led to increased pupil dilation and number of blinks in all participants. During the response interval, we found more errors and increased pupil dilation to the probe when all participants had to overcome a response bias generated by the frequent cue. Only reactive participants showed larger response-related pupil when they had to overcome a response bias related to the frequent probe. Contrary to expectations, groups did not differ in ocular measures in the cue period. In conclusion, interindividual differences in cognitive control between healthy adults can be mapped onto different patterns of effort allocation indexed by the pupil.

Entities:  

Keywords:  AX-CPT; Cognitive control; Eye blinks; Pupillometry

Mesh:

Year:  2018        PMID: 29992484     DOI: 10.3758/s13415-018-0621-5

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  82 in total

Review 1.  Adaptive gain and the role of the locus coeruleus-norepinephrine system in optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  J Comp Neurol       Date:  2005-12-05       Impact factor: 3.215

Review 2.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

3.  Evidence for the sparing of reactive cognitive control with age.

Authors:  Julie M Bugg
Journal:  Psychol Aging       Date:  2013-12-30

4.  Impulse conduction properties of noradrenergic locus coeruleus axons projecting to monkey cerebrocortex.

Authors:  G Aston-Jones; S L Foote; M Segal
Journal:  Neuroscience       Date:  1985-07       Impact factor: 3.590

5.  Reliability of eye tracking and pupillometry measures in individuals with fragile X syndrome.

Authors:  Faraz Farzin; Felicia Scaggs; Crystal Hervey; Elizabeth Berry-Kravis; David Hessl
Journal:  J Autism Dev Disord       Date:  2011-11

6.  Proactive and reactive cognitive control and dorsolateral prefrontal cortex dysfunction in first episode schizophrenia.

Authors:  Tyler A Lesh; Andrew J Westphal; Tara A Niendam; Jong H Yoon; Michael J Minzenberg; J Daniel Ragland; Marjorie Solomon; Cameron S Carter
Journal:  Neuroimage Clin       Date:  2013-04-22       Impact factor: 4.881

7.  Dopamine and inhibitory action control: evidence from spontaneous eye blink rates.

Authors:  Lorenza Serena Colzato; Wery P M van den Wildenberg; Nelleke C van Wouwe; Merel M Pannebakker; Bernhard Hommel
Journal:  Exp Brain Res       Date:  2009-05-31       Impact factor: 1.972

8.  Inhibition and the right inferior frontal cortex: one decade on.

Authors:  Adam R Aron; Trevor W Robbins; Russell A Poldrack
Journal:  Trends Cogn Sci       Date:  2014-01-15       Impact factor: 20.229

9.  Dissociable influences of reward motivation and positive emotion on cognitive control.

Authors:  Kimberly S Chiew; Todd S Braver
Journal:  Cogn Affect Behav Neurosci       Date:  2014-06       Impact factor: 3.282

10.  Tracking Real-Time Changes in Working Memory Updating and Gating with the Event-Based Eye-Blink Rate.

Authors:  Rachel Rac-Lubashevsky; Heleen A Slagter; Yoav Kessler
Journal:  Sci Rep       Date:  2017-05-31       Impact factor: 4.379

View more
  4 in total

1.  Toward a formal theory of proactivity.

Authors:  F Lieder; G Iwama
Journal:  Cogn Affect Behav Neurosci       Date:  2021-03-15       Impact factor: 3.526

2.  Task context load induces reactive cognitive control: An fMRI study on cortical and brain stem activity.

Authors:  Veronica Mäki-Marttunen; Thomas Hagen; Thomas Espeseth
Journal:  Cogn Affect Behav Neurosci       Date:  2019-08       Impact factor: 3.282

3.  Decreased preparatory activation and inattention to cues suggest lower activation of proactive cognitive control among high procrastinating students.

Authors:  Ewa Wiwatowska; Dominik Czajeczny; Jarosław M Michałowski
Journal:  Cogn Affect Behav Neurosci       Date:  2021-09-08       Impact factor: 3.282

4.  Effects of HF-rTMS over the left and right DLPFC on proactive and reactive cognitive control.

Authors:  Matias M Pulopulos; Jens Allaert; Marie-Anne Vanderhasselt; Alvaro Sanchez-Lopez; Sara De Witte; Chris Baeken; Rudi De Raedt
Journal:  Soc Cogn Affect Neurosci       Date:  2022-02-03       Impact factor: 3.436

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.