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Brain Sciences
Special Issues
Uncovering the Interaction between Adaptive Cognitive Control and Internal States
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Uncovering the Interaction between Adaptive Cognitive Control and Internal States

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Social Cognitive and Affective Neuroscience".

Deadline for manuscript submissions: closed (20 January 2022) | Viewed by 4592

Special Issue Editors

Dr. Roberta Sellaro

E-Mail Website
Guest Editor
Department of Developmental Psychology and Socialization & Padova Neuroscience Center-PNC, University of Padova, Padova, Italy
Interests: cognitive control; neuromodulation of cognition; affect and emotion; self-other processing; brain stimulation; virtual reality
Dr. Bryant Jongkees

E-Mail Website
Guest Editor
Cognitive Psychology Unity & Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, The Netherlands
Interests: cognitive control; neuromodulation of cognition; computational modelling

Special Issue Information

Dear Colleagues,

Humans have a remarkable capacity for adjusting their allocation of cognitive control to attain goals. A rapidly growing body of research shows that this capacity depends on whether one is able to detect and adapt their internal states (e.g., emotions, arousal, motivation). Such states are an invaluable source of information about the environment and condition of the body, and regulating these internal states is key to meeting dynamic demands on cognitive control.

This Special Issue of Brain Sciences, entitled “Uncovering the Interaction between Adaptive Cognitive Control and Internal States”, aims to bring together scientists working at the cutting edge of this field, to provide a timely update on research into the mechanisms by which adaptation to cognitive control demands can be driven by internal states. We hope that this Special Issue may provide insight into how this field can move forward and will encourage interdisciplinary research on this topic.

We welcome contributions in the form of scientifically rigorous, well-designed, and well-powered empirical papers as well as theoretical reviews and opinion papers that tackle the proposed topic from different perspectives and using a variety of methodologies from, for example, psychology, neuroscience, psychophysiology, pharmacology, psychiatry, and computational science. Authors are strongly encouraged to adhere to open science practices and to justify their sample size.

Dr. Roberta Sellaro
Dr. Bryant Jongkees
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cognitive control
  • neuromodulation
  • internal states
  • emotion
  • affect
  • interoception
  • motivation
  • arousal
  • engagement
  • heartrate variability

Published Papers (2 papers)

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Research

16 pages, 1432 KiB  
Article
Modulation of Conflict Processing by Reappraisal: An Experimental Investigation
by Qian Yang and Gilles Pourtois
Brain Sci. 2022, 12(5), 564; https://0-doi-org.brum.beds.ac.uk/10.3390/brainsci12050564 - 27 Apr 2022
Cited by 1 | Viewed by 1381
Abstract
Negative affect facilitates conflict processing. Here we sought to assess whether symmetrically, its downregulation by means of reappraisal could lower it. To this end, 105 participants performed the confound-minimized Stroop task eliciting negative affect that was followed by a simple reward-related visual discrimination [...] Read more.
Negative affect facilitates conflict processing. Here we sought to assess whether symmetrically, its downregulation by means of reappraisal could lower it. To this end, 105 participants performed the confound-minimized Stroop task eliciting negative affect that was followed by a simple reward-related visual discrimination task. Conflict processing was induced with the former task. Half of them (experimental group) were instructed to use this second task to downregulate negative affect arising from the Stroop task. The other half (control group) did not receive these appraisal-related instructions. Group comparisons showed that negative affect and the conflict effect were similar for these two groups. However, when we added and modeled the subjective ratings related to emotion regulation, we found that conflict processing significantly improved for participants who reported using reappraisal spontaneously, and this gain occurred irrespective of negative affect. These results suggest that reappraisal can influence conflict processing but this change does not depend on negative affect. Full article
(This article belongs to the Special Issue Uncovering the Interaction between Adaptive Cognitive Control and Internal States)
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22 pages, 4338 KiB  
Article
Grounding Adaptive Cognitive Control in the Intrinsic, Functional Brain Organization: An HD-EEG Resting State Investigation
by Gian Marco Duma, Maria Grazia Di Bono and Giovanni Mento
Brain Sci. 2021, 11(11), 1513; https://0-doi-org.brum.beds.ac.uk/10.3390/brainsci11111513 - 15 Nov 2021
Cited by 5 | Viewed by 2402
Abstract
In a recent study, we used the dynamic temporal prediction (DTP) task to demonstrate that the capability to implicitly adapt motor control as a function of task demand is grounded in at least three dissociable neurofunctional mechanisms: expectancy implementation, expectancy violation and response [...] Read more.
In a recent study, we used the dynamic temporal prediction (DTP) task to demonstrate that the capability to implicitly adapt motor control as a function of task demand is grounded in at least three dissociable neurofunctional mechanisms: expectancy implementation, expectancy violation and response implementation, which are supported by as many distinct cortical networks. In this study, we further investigated if this ability can be predicted by the individual brain’s functional organization at rest. To this purpose, we recorded resting-state, high-density electroencephalography (HD-EEG) in healthy volunteers before performing the DTP task. This allowed us to obtain source-reconstructed cortical activity and compute whole-brain resting state functional connectivity at the source level. We then extracted phase locking values from the parceled cortex based on the Destrieux atlas to estimate individual functional connectivity at rest in the three task-related networks. Furthermore, we applied a machine-learning approach (i.e., support vector regression) and were able to predict both behavioral (response speed and accuracy adaptation) and neural (ERP modulation) task-dependent outcome. Finally, by exploiting graph theory nodal measures (i.e., degree, strength, local efficiency and clustering coefficient), we characterized the contribution of each node to the task-related neural and behavioral effects. These results show that the brain’s intrinsic functional organization can be potentially used as a predictor of the system capability to adjust motor control in a flexible and implicit way. Additionally, our findings support the theoretical framework in which cognitive control is conceived as an emergent property rooted in bottom-up associative learning processes. Full article
(This article belongs to the Special Issue Uncovering the Interaction between Adaptive Cognitive Control and Internal States)
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