EEG tensor decomposition delineates neurophysiological principles underlying conflict-modulated action restraint and action cancellation

• Published in: NeuroImage (Orlando, Fla.) Fla.), 2024-07, Vol.295, p.120667, Article 120667
• Main Authors: Gholamipourbarogh, Negin, Eggert, Elena, Münchau, Alexander, Frings, Christian, Beste, Christian
• Format: Article
• Language: English
• Subjects: Adult; Brain - physiology; Conflict monitoring; Conflict, Psychological; Decomposition; EEG; Electroencephalography - methods; Executive function; Executive Function - physiology; Female; Humans; Inhibition, Psychological; Male; Neurophysiology; Principles; Psychomotor Performance - physiology; Research methodology; Response inhibition; Tensor decomposition; Young Adult
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2024.120667

•We use a novel approach (EEG tensor decomposition) to study cognitive control.•We delineate overarching neurophysiological processes of cognitive control.•Results relate cognitive concepts with neurophysiology through tensor decomposition. Executive functions are essential for adaptive behavior. One executive function is the so-called ‘interference control’ or conflict monitoring another one is inhibitory control (i.e., action restraint and action cancelation). Recent evidence suggests an interplay of these processes, which is conceptually relevant given that newer conceptual frameworks imply that nominally different action/response control processes are explainable by a small set of cognitive and neurophysiological processes. The existence of such overarching neural principles has as yet not directly been examined. In the current study, we therefore use EEG tensor decomposition methods, to look into possible common neurophysiological signatures underlying conflict-modulated action restraint and action cancelation as mechanism underlying response inhibition. We show how conflicts differentially modulate action restraint and action cancelation processes and delineate common and distinct neural processes underlying this interplay. Concerning the spatial information modulations are similar in terms of an importance of processes reflected by parieto-occipital electrodes, suggesting that attentional selection processes play a role. Especially theta and alpha activity seem to play important roles. The data also show that tensor decomposition is sensitive to the manner of task implementation, thereby suggesting that switch probability/transitional probabilities should be taken into consideration when choosing tensor decomposition as analysis method. The study provides a blueprint of how to use tensor decomposition methods to delineate common and distinct neural mechanisms underlying action control functions using EEG data.