EEG Signal Decomposition Evidence for a Role of Perceptual Processes during Conflict-related Behavioral Adjustments in Middle Frontal Regions

Conflict monitoring processes are central to cope with fluctuating environmental demands. However, the efficacy of these processes depends on previous trial history/experience, which is reflected in the “congruency sequence effect” (CSE). Several theoretical accounts have been put forward to explain this effect. Some accounts stress the role of perceptual processes in the emergence of the CSE. As yet, it is elusive how these perceptual processes are implemented on a neural level. We examined this question using a newly developed moving dots flanker task. We combine decomposition methods of EEG data and source localization. We show that perceptual processes modulate the CSE and can be isolated in neurophysiological signals, especially in the N2 ERP time window. However, mechanisms relating perception to action are also coded and modulated in this time window. We show that middle frontal regions (BA 6) are associated with processes dealing with purely perceptual processes. Inferior frontal regions (BA 45) are associated with processes dealing with stimulus–response transition processes. Likely, the neurophysiological modulations reflect unbinding processes at the perceptual level, and stimulus–response translation level needed to respond correctly on the presented (changed) stimulus–response relationships. The data establish a direct relationship between psychological concepts focusing on perceptual processes during conflict monitoring and neurophysiological processes using signal decomposition.

[1]  Jan Derrfuss,et al.  Your Conflict Matters to Me! Behavioral and Neural Manifestations of Control Adjustment After Self-Experienced and Observed Decision-Conflict , 2009, Front. Hum. Neurosci..

[2]  Alexander Münchau,et al.  A systems neurophysiology approach to voluntary event coding , 2016, NeuroImage.

[3]  Kenneth Hugdahl,et al.  Identification of attention and cognitive control networks in a parametric auditory fMRI study , 2010, Neuropsychologia.

[4]  Etienne Olivier,et al.  Short-Latency Influence of Medial Frontal Cortex on Primary Motor Cortex during Action Selection under Conflict , 2009, The Journal of Neuroscience.

[5]  Aamir Saeed Malik,et al.  EEG based brain source localization comparison of sLORETA and eLORETA , 2014, Australasian Physical & Engineering Sciences in Medicine.

[6]  T. Robbins,et al.  Inhibition and impulsivity: Behavioral and neural basis of response control , 2013, Progress in Neurobiology.

[7]  Yang Seok Cho,et al.  Congruency sequence effect without feature integration and contingency learning. , 2014, Acta psychologica.

[8]  Rolf Verleger,et al.  Is P3 a strategic or a tactical component? Relationships of P3 sub-components to response times in oddball tasks with go, no-go and choice responses , 2016, NeuroImage.

[9]  Frederick Verbruggen,et al.  Stimulus- and response-conflict-induced cognitive control in the flanker task , 2006, Psychonomic bulletin & review.

[10]  Christopher D. Erb,et al.  Deconstructing the Gratton effect: Targeting dissociable trial sequence effects in children, pre-adolescents, and adults , 2018, Cognition.

[11]  E. Wascher,et al.  Neural Correlates of Individual Performance Differences in Resolving Perceptual Conflict , 2012, PloS one.

[12]  Rolf Verleger,et al.  On how the motor cortices resolve an inter‐hemispheric response conflict: an event‐related EEG potential‐guided TMS study of the flankers task , 2009, The European journal of neuroscience.

[13]  P. Haggard,et al.  Difficult action decisions reduce the sense of agency: A study using the Eriksen flanker task. , 2016, Acta psychologica.

[14]  Peter E. Clayson,et al.  Psychometric properties of conflict monitoring and conflict adaptation indices: response time and conflict N2 event-related potentials. , 2013, Psychophysiology.

[15]  Leslie G. Ungerleider,et al.  Involvement of human left dorsolateral prefrontal cortex in perceptual decision making is independent of response modality , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Jürgen Kayser,et al.  On the benefits of using surface Laplacian (current source density) methodology in electrophysiology. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[17]  R. Verleger,et al.  Effects on P3 of spreading targets and response prompts apart , 2017, Biological Psychology.

[18]  M. Walton,et al.  Action sets and decisions in the medial frontal cortex , 2004, Trends in Cognitive Sciences.

[19]  M. Botvinick,et al.  Conflict monitoring and cognitive control. , 2001, Psychological review.

[20]  O. Sporns,et al.  Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.

[21]  A. Kiesel,et al.  Attentional adjustment to conflict strength: evidence from the effects of manipulating flanker-target SOA on response times and prestimulus pupil size. , 2014, Experimental psychology.

[22]  Werner Sommer,et al.  Updating and validating a new framework for restoring and analyzing latency-variable ERP components from single trials with residue iteration decomposition (RIDE). , 2015, Psychophysiology.

[23]  James R. Schmidt Questioning conflict adaptation: proportion congruent and Gratton effects reconsidered , 2013, Psychonomic bulletin & review.

[24]  T. Egner Creatures of habit (and control): a multi-level learning perspective on the modulation of congruency effects , 2014, Front. Psychol..

[25]  Christian Beste,et al.  How perceptual ambiguity affects response inhibition processes. , 2019, Journal of neurophysiology.

[26]  H. Leuthold,et al.  Response priming in the Simon paradigm. A transcranial magnetic stimulation study. , 2000, Experimental brain research.

[27]  S. Treue,et al.  A flanker effect for moving visual stimuli , 2012, Vision Research.

[28]  C. Beste,et al.  Distinguishing stimulus and response codes in theta oscillations in prefrontal areas during inhibitory control of automated responses , 2017, Human brain mapping.

[29]  Christian Beste,et al.  Neuronal Intra-Individual Variability Masks Response Selection Differences between ADHD Subtypes—A Need to Change Perspectives , 2017, Front. Hum. Neurosci..

[30]  Kristoffer Hougaard Madsen,et al.  Motivational Tuning of Fronto-Subthalamic Connectivity Facilitates Control of Action Impulses , 2014, The Journal of Neuroscience.

[31]  B. Kopp,et al.  N200 in the flanker task as a neurobehavioral tool for investigating executive control. , 1996, Psychophysiology.

[32]  Jan R. Wessel,et al.  Modulation of the error-related negativity by response conflict. , 2009, Psychophysiology.

[33]  Carsten Lukas,et al.  Mechanisms mediating parallel action monitoring in fronto-striatal circuits , 2012, NeuroImage.

[34]  W. Sommer,et al.  Residue iteration decomposition (RIDE): A new method to separate ERP components on the basis of latency variability in single trials. , 2011, Psychophysiology.

[35]  Christian Beste,et al.  The norepinephrine system shows information-content specific properties during cognitive control – Evidence from EEG and pupillary responses , 2017, NeuroImage.

[36]  Pierre-Alexandre Klein,et al.  Top-down suppression of incompatible motor activations during response selection under conflict , 2014, NeuroImage.

[37]  Leslie G. Ungerleider,et al.  Complementary Roles of Systems Representing Sensory Evidence and Systems Detecting Task Difficulty During Perceptual Decision Making , 2010, Front. Neurosci..

[38]  R D Pascual-Marqui,et al.  Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.

[39]  V. Roessner,et al.  Behavioral and neurophysiological evidence for increased cognitive flexibility in late childhood , 2016, Scientific Reports.

[40]  E. Donchin,et al.  Optimizing the use of information: strategic control of activation of responses. , 1992, Journal of experimental psychology. General.

[41]  B. Hommel,et al.  Towards a Unitary Approach to Human Action Control , 2017, Trends in Cognitive Sciences.

[42]  Vince D. Calhoun,et al.  Group-level component analyses of EEG: validation and evaluation , 2015, Front. Neurosci..

[43]  M. D’Esposito,et al.  Causal evidence for frontal cortex organization for perceptual decision making , 2016, Proceedings of the National Academy of Sciences.

[44]  Hartwig R. Siebner,et al.  Linking Actions and Their Perceivable Consequences in the Human Brain , 2002, NeuroImage.

[45]  A. Raftery Bayesian Model Selection in Social Research , 1995 .

[46]  C. Beste,et al.  Concurrent information affects response inhibition processes via the modulation of theta oscillations in cognitive control networks , 2015, Brain Structure and Function.

[47]  Bernhard Hommel,et al.  Reconciling cognitive-control and episodic-retrieval accounts of sequential conflict modulation: Binding of control-states into event-files. , 2019, Journal of experimental psychology. Human perception and performance.

[48]  P. Sajda,et al.  EEG-Informed fMRI Reveals Spatiotemporal Characteristics of Perceptual Decision Making , 2007, The Journal of Neuroscience.

[49]  B. Hommel Event files: feature binding in and across perception and action , 2004, Trends in Cognitive Sciences.

[50]  Jonathan D. Cohen,et al.  Conflict monitoring and anterior cingulate cortex: an update , 2004, Trends in Cognitive Sciences.

[51]  B. Hommel,et al.  A feature-integration account of sequential effects in the Simon task , 2004, Psychological research.

[52]  Michael Falkenstein,et al.  Effects of aging, Parkinson's disease, and dopaminergic medication on response selection and control , 2011, Neurobiology of Aging.

[53]  W. Notebaert,et al.  The heterogeneous world of congruency sequence effects: an update , 2014, Front. Psychol..

[54]  C. Beste,et al.  Psychophysiological mechanisms of interindividual differences in goal activation modes during action cascading. , 2014, Cerebral cortex.

[55]  Michael E J Masson,et al.  A tutorial on a practical Bayesian alternative to null-hypothesis significance testing , 2011, Behavior research methods.

[56]  D. Tucker,et al.  EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. , 1997, Electroencephalography and clinical neurophysiology.

[57]  Christian Beste,et al.  Neural mechanisms and functional neuroanatomical networks during memory and cue-based task switching as revealed by residue iteration decomposition (RIDE) based source localization , 2017, Brain Structure and Function.

[58]  T. Egner Multiple conflict-driven control mechanisms in the human brain , 2008, Trends in Cognitive Sciences.

[59]  Christian Beste,et al.  Stimulus-response recoding during inhibitory control is associated with superior frontal and parahippocampal processes , 2019, NeuroImage.

[60]  Kensuke Sekihara,et al.  Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction , 2005, NeuroImage.

[61]  C. Kennard,et al.  Functional role of the supplementary and pre-supplementary motor areas , 2008, Nature Reviews Neuroscience.

[62]  S. Kotz,et al.  Conflict processing is modulated by positive emotion: ERP data from a flanker task , 2011, Behavioural Brain Research.

[63]  Peter E. Clayson,et al.  Making sense of all the conflict: a theoretical review and critique of conflict-related ERPs. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[64]  Michiel M. A. Spapé,et al.  Author's Personal Copy Biological Psychology Compatibility-sequence Effects in the Simon Task Reflect Episodic Retrieval but Not Conflict Adaptation: Evidence from Lrp and N2 , 2022 .

[65]  Onur Güntürkün,et al.  Lateralized neural mechanisms underlying the modulation of response inhibition processes , 2011, NeuroImage.

[66]  Jonathan R. Folstein,et al.  Influence of cognitive control and mismatch on the N2 component of the ERP: a review. , 2007, Psychophysiology.

[67]  Christian Beste,et al.  Interacting sources of interference during sensorimotor integration processes , 2016, NeuroImage.

[68]  C. Beste,et al.  A causal role of the right inferior frontal cortex in implementing strategies for multi-component behaviour , 2015, Nature Communications.

[69]  Leslie G. Ungerleider,et al.  A general mechanism for perceptual decision-making in the human brain , 2004, Nature.

[70]  V. Roessner,et al.  ADHD patients fail to maintain task goals in face of subliminally and consciously induced cognitive conflicts , 2017, Psychological Medicine.

[71]  Christian Beste,et al.  Response selection codes in neurophysiological data predict conjoint effects of controlled and automatic processes during response inhibition , 2018, Human brain mapping.

[72]  Werner Sommer,et al.  A toolbox for residue iteration decomposition (RIDE)—A method for the decomposition, reconstruction, and single trial analysis of event related potentials , 2015, Journal of Neuroscience Methods.

[73]  Andrea Hildebrandt,et al.  Exploiting the intra-subject latency variability from single-trial event-related potentials in the P3 time range: A review and comparative evaluation of methods , 2017, Neuroscience & Biobehavioral Reviews.

[74]  Rolf Verleger,et al.  Testing the stimulus-to-response bridging function of the oddball-P3 by delayed response signals and residue iteration decomposition (RIDE) , 2014, NeuroImage.

[75]  O. Wilhelm,et al.  Individual differences in response conflict adaptations , 2013, Front. Psychol..

[76]  V. Roessner,et al.  Expectancy effects during response selection modulate attentional selection and inhibitory control networks , 2014, Behavioural Brain Research.

[77]  Wim Notebaert,et al.  Adaptation by binding: a learning account of cognitive control , 2009, Trends in Cognitive Sciences.

[78]  C. Carter,et al.  The anterior cingulate as a conflict monitor: fMRI and ERP studies , 2002, Physiology & Behavior.

[79]  E. Wascher,et al.  Differential Effects of Motor Efference Copies and Proprioceptive Information on Response Evaluation Processes , 2013, PloS one.

[80]  T. Ziemssen,et al.  The norepinephrine system affects specific neurophysiological subprocesses in the modulation of inhibitory control by working memory demands , 2017, Human brain mapping.

[81]  Bernhard Hommel,et al.  The Quarterly Journal of Experimental Psychology , 2001 .

[82]  Christopher D. Erb,et al.  Associative priming and conflict differentially affect two processes underlying cognitive control: Evidence from reaching behavior , 2019, Psychonomic Bulletin & Review.

[83]  Christian Beste,et al.  On the effects of multimodal information integration in multitasking , 2017, Scientific Reports.

[84]  Michael Falkenstein,et al.  Differential Modulations of Response Control Processes by 5-ht1a Gene Variation , 2022 .

[85]  C. Beste,et al.  Subliminally and consciously induced cognitive conflicts interact at several processing levels , 2016, Cortex.

[86]  V. Roessner,et al.  Predictability and context determine differences in conflict monitoring between adolescence and adulthood , 2015, Behavioural Brain Research.

[87]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[88]  D. Yarnitsky,et al.  Neurophysiology of the cortical pain network: revisiting the role of S1 in subjective pain perception via standardized low-resolution brain electromagnetic tomography (sLORETA). , 2008, Journal of Pain.

[89]  Jonathan R. Folstein,et al.  Novelty and conflict in the categorization of complex stimuli. , 2008, Psychophysiology.

[90]  E. Awh,et al.  Conflict adaptation effects in the absence of executive control , 2003, Nature Neuroscience.