Literature DB >> 29044552

Dynamics of cognitive control: Theoretical bases, paradigms, and a view for the future.

Gabriele Gratton1, Patrick Cooper2, Monica Fabiani1, Cameron S Carter3, Frini Karayanidis2.   

Abstract

Cognitive control (with the closely related concepts of attention control and executive function) encompasses the collection of processes that are involved in generating and maintaining appropriate task goals and suppressing task goals that are no longer relevant, as well as the way in which current goal representations are used to modify attentional biases to improve task performance. Here, we provide a comprehensive but nonexhaustive review of this complex literature, with an emphasis on the contributions made by techniques for studying human brain function. The review is divided into five sections: (a) overview and historical perspective of cognitive control, its subcomponent processes, and its neural substrate; (b) most common types of tasks used to assess and/or manipulate the level of control; (c) main research findings obtained with various imaging methodologies, with a focus on ERP data, and briefer overviews of oscillatory (event-related spectral perturbations) and fMRI data; (d) major theories of cognitive control; and (e) discussion of open questions regarding how to integrate the various dimensions of control, as well as the faster versus slower temporal dynamics informing this complex and multifaceted concept.
© 2017 Society for Psychophysiological Research.

Entities:  

Keywords:  EEG; ERPs; cognitive control; control dynamics; executive function; fMRI; neuroimaging

Mesh:

Year:  2017        PMID: 29044552     DOI: 10.1111/psyp.13016

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  34 in total

1.  Multimodal neuroimaging analysis reveals age-associated common and discrete cognitive control constructs.

Authors:  Meng-Heng Yang; Zai-Fu Yao; Shulan Hsieh
Journal:  Hum Brain Mapp       Date:  2019-02-18       Impact factor: 5.038

2.  Dynamic adjustments in working memory in the face of affective interference.

Authors:  J E Witkin; A P Zanesco; E Denkova; A P Jha
Journal:  Mem Cognit       Date:  2020-01

3.  Prefrontal transcranial direct current stimulation (tDCS) enhances behavioral and EEG markers of proactive control.

Authors:  Megan Boudewyn; Brooke M Roberts; Eda Mizrak; Charan Ranganath; Cameron S Carter
Journal:  Cogn Neurosci       Date:  2018-12-03       Impact factor: 3.065

4.  Acute effects of alcohol on error-elicited negative affect during a cognitive control task.

Authors:  Roberto U Cofresí; Bruce D Bartholow
Journal:  Psychopharmacology (Berl)       Date:  2020-09-18       Impact factor: 4.530

5.  Motor Interference, But Not Sensory Interference, Increases Midfrontal Theta Activity and Brain Synchronization during Reactive Control.

Authors:  Jakob Kaiser; Simone Schütz-Bosbach
Journal:  J Neurosci       Date:  2021-01-13       Impact factor: 6.167

Review 6.  Control networks and hubs.

Authors:  Caterina Gratton; Haoxin Sun; Steven E Petersen
Journal:  Psychophysiology       Date:  2017-11-28       Impact factor: 4.016

7.  The Effects of Alcohol and Cannabis Use on the Cortical Thickness of Cognitive Control and Salience Brain Networks in Emerging Adulthood: A Co-twin Control Study.

Authors:  Jeremy Harper; Stephen M Malone; Sylia Wilson; Ruskin H Hunt; Kathleen M Thomas; William G Iacono
Journal:  Biol Psychiatry       Date:  2021-01-20       Impact factor: 13.382

8.  Neural Processing of Cognitive Control in an Emotionally Neutral Context in Anxiety Patients.

Authors:  Nicola König; Sarah Steber; Anna Borowski; Harald R Bliem; Sonja Rossi
Journal:  Brain Sci       Date:  2021-04-26

9.  Frontal midline theta differentiates separate cognitive control strategies while still generalizing the need for cognitive control.

Authors:  Jarrod Eisma; Eric Rawls; Stephanie Long; Russell Mach; Connie Lamm
Journal:  Sci Rep       Date:  2021-07-19       Impact factor: 4.379

10.  Proof-of-concept evidence for trimodal simultaneous investigation of human brain function.

Authors:  Matthew Moore; Edward L Maclin; Alexandru D Iordan; Yuta Katsumi; Ryan J Larsen; Andrew P Bagshaw; Stephen Mayhew; Andrea T Shafer; Bradley P Sutton; Monica Fabiani; Gabriele Gratton; Florin Dolcos
Journal:  Hum Brain Mapp       Date:  2021-06-23       Impact factor: 5.038

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