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Interaction between Neural and Cardiac Systems during the Execution of the Stroop Task by Young Adults: Electroencephalographic Activity and Heart Rate Variability

1 Laboratory of Neuroscience and Behavior, Physiological Sciences Department, Institute of Biology, University of Brasilia, Brasilia, Federal District, Brazil;
2 Faculty of Ceilandia, University of Brasilia, Brasilia, Federal District, Brazil

Executive processes and heart rate variability (HRV) are supposedly regulated by an integrated inhibitory neurovisceral network mainly coordinated by the prefrontal cortex. Inhibitory control, a core executive function, is demanded by the Stroop task. This study aimed to assess the interaction between electroencephalographic activity and HRV of 50 healthy undergraduate students while performing a computerized version of the Stroop task with three stages (paradigmatic congruent – CS – and incongruent – IS – stages in addition to a stage in which words were phonetically similar to color names – PSS). Behavioral results suggested a Stroop interference effect among the stages, with greater difficulty in IS followed by PSS. A pattern of cortical activation in a frontoparietal gradient with left lateralization and involvement of the prefrontal, temporal and occipital cortices was found especially in IS and PSS, which might be correlated to executive control of behavior, inhibitory control, mental representation of words, preparation of the verbal response, and processing of visual stimuli. Mean power of brain activity (μV) was higher for IS and PSS for all tested frequency oscillations. HRV parameters of SDNN and pNN50 were smaller in PSS compared to the other stages, while rMSSD was higher for CS, suggesting higher mental stress for IS and PSS. During PSS, LF/HF ratio was negatively correlated with EEG power in frontal, central and temporal regions whilst rMSSD was positively correlated with activity in frontal and parietal regions. Therefore, marked prefrontal cortex activity was associated with parasympathetic dominance, which is in line with the integrated inhibitory neural network model. In summation, the execution of the Stroop task required increased recruitment of prefrontal cortical areas and led to high mental stress, but, as it was associated with parasympathetic dominance of HRV control, conflict was solved and subjects behaved successfully.
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Keywords Autonomic nervous system (ANS); Central nervous system (CNS); EEG; electrophysiology; executive functions; HRV; inhibitory control; neuropsychology; Prefrontal cortex (PFC); selective attention

Citation: Soraya L. Sá Canabarro, Ana Garcia, Corina Satler, Maria Clotilde Henriques Tavares. Interaction between Neural and Cardiac Systems during the Execution of the Stroop Task by Young Adults: Electroencephalographic Activity and Heart Rate Variability. AIMS Neuroscience, 2017, 4(1): 28-51. doi: 10.3934/Neuroscience.2017.1.28


  • 1. Squire LR, Berg D, Bloom FE, et al. (2008) The Prefrontal Cortex and Executive Brain Functions. Fundament Neurosci. 3rd Edition ed. London: Academic Press. pp. 1199-1222.
  • 2. Diamond A (2013) Executive Functions. Annu Rev Psychol 64: 135-168.    
  • 3. Ardila A (2008) On the Evolutionary Origins of Executive Functions. Brain Cognition 68: 92-99.    
  • 4. Chan RCK, Shum D, Toulopoulou T, et al. (2008) Assessment of Executive Functions: Review of Instruments and Identification of Critical Issues. Arc Clinical Neuropsychol 23: 201-216.    
  • 5. Elliot R (2003) Executive Functions and Their Disorders. British Medical Bulletin 65: 49-59.    
  • 6. Sauseng P, Gerloff C, Hummel F (2013) Two Brakes Are Better Than One: The Neural Bases of Inhibitory Control of Motor Memory Traces. NeuroImage 65: 52-58.    
  • 7. Bunge SA, Mackey AP, Whitaker KJ (2009) Brain Changes Underlying the Development of Cognitive Control and Reasoning. In: Gazzaniga MS, editor. The cognitive neurosciences. 4ª ed. ed. Cambridge, Massachusetts: The MIT Press. pp. 73-85.
  • 8. Stroop JR (1935) Studies of Interference in Serial Verbal Reaction. J Experiment Psychol XVIII: 643-662.
  • 9. Van der Elst W, Van Boxtel MPJ, Van Breukelen GJP, et al. (2006) The Stroop Color:Word Test: Influence of Age, Sex, and Education; and Normative Data for a Large Sample Across the Adult Age Range. Assessment 13: 62-79.    
  • 10. Hanslmayr S, Pastotter B, Bauml KH, et al. (2008) The Electrophysiological Dynamics of Interference During the Stroop Task. J Cognitive Neurosci 20: 215-225.    
  • 11. Mead LA, Mayer AR, Bobholz JA, et al. (2002) Neural Basis of the Stroop Interference Task: Response Competition or Selective Attention? J Int Neuropsycholo Soc.
  • 12. Salo R, Henik A, Robertson LC (2001) Interpreting Stroop Interference: An Analysis of Differences Between Task Versions. Neuropsychology 15: 462-471.    
  • 13. Spieler DH, Balota DA, Faust ME (1996) Stroop Performance in Healthy Younger and Older Adults and in Individuals With Dementia of the Alzheimer's Type. J Experiment Psychol 22: 461-479.
  • 14. Thayer JF, Hansen AL, Saus-Rose E, et al. (2009) Heart Rate Variability, Prefrontal Neural Function and Cognitive Performance: the Neurovisceral Integration Perspective on Self:Regulation, Adaptation, and Health. Ann Behav Med 37: 141-53.    
  • 15. Knyazev GG (2007) Motivation, Emotion, and Their Inhibitory Control Mirrored in Brain Oscillations. Neurosci Biobehavior Rev 31: 377-395.    
  • 16. Alvarez JA, Emory E (2006) Executive Function and the Frontal Lobes: A Meta-Analytic Review. Neuropsychol Rev 16: 17-42.    
  • 17. Botvinick MM, Cohen JD, Carter CS (2004) Conflict Monitoring and Anterior Cingulate Cortex: an Update. Trends Cognit Sci 8: 539-546.    
  • 18. Smith EE, Kosslyn SM (2006) Executive Processes. In: Smith EE, Kosslyn SM, editors. Cognitive Psychology: Mind and Brain. New Jersey: Prentice Hall. pp. 103-146.
  • 19. Ghimire N, Paudel BH, Khadka R, et al. (2015) Electroencephalographic Changes During Selective Attention. Asian J Med Sci 6: 51-56.
  • 20. Milham MP, Erickson KI, Banich MT, et al. (2002) Attentional Control in the Aging Brain: Insights from an fMRI Study of the Stroop Task. Brain Cognition 49: 277-296.    
  • 21. Ishii R, Shinosaki K, Ukai S, et al. (1999) Medial Prefrontal Cortex Generates Frontal Midline Theta Rythm. NeuroReport 10: 675-679.    
  • 22. Bansal D, Khan M, Salhan AK (2009) A Review of Measurement and Analysis of Heart Rate Variability. Proceedings of the 2009 International Conference on Computer and Automation Engineering: IEEE Computer Society. pp. 243-246.
  • 23. Prinsloo GE, Rauch HGL, Karpul D, et al. (2013) The Effect of a Single Session of Short Duration Heart Rate Variability Biofeedback on EEG: A Pilot Study. Appl Psychophysiol Biofeedback 38: 45-56.    
  • 24. Delaney JPA, Brodie DA (2000) Effects of Short:Term Psychological Stress on the Time and Frequency Domains of Heart Rate Variability. Perceptual Motor Skills 91: 515-524.    
  • 25. Salahuddin L (2007) Hear Rate Variability Analysis for Mental Stress Measument in Mobile Settings [Thesis]. Korea: Information and Communications University. pp. 126.
  • 26. Dupuy O, Lussier M, Fraser S, et al. (2014) Effect of Overreaching on Cognitive Performance and Related Cardiac Autonomic Control. Scand J Med Sci Sports 24: 234-242.    
  • 27. Hovland A, Pallesen S, Hammar A, et al. (2012) The Relationships Among Heart Rate Variability, Executive Functions, and Clinical Variables in Patients With Panic Disorders. Int J Psychophysiol 86: 269-275.    
  • 28. Petkar HC (2011) Effects of Working Memory Demand on Performance and Mental Stress During the Stroop Task [Thesis]. Canada: Concordia University. pp. 89.
  • 29. Oldfield RC (1971) The Assessment and Analysis of Handedness: the Edinburgh Inventory. Neuropsychologia 9: 97-113.    
  • 30. Klem GH, Lüders HO, Jasper HH, et al. (1999) The Ten:Twenty Electrode System of the International Federation. The International Federation of Clinical Neurophysiology. Int Federation Clinical Neurophysiol Suppl 52: 3-6.
  • 31. Garcia A, Uribe CE, Tavares MCH, et al. (2011) EEG and Autonomic Responses During Performance of Matching and Non:Matching to Sample Working Memory Tasks With Emotional Content. Front Behavior Neurosci 5: 1-9.
  • 32. Delorme A, Makeig S (2004) EEGLAB: an Open Source Toolbox for Analyis of Single:Trial EEG Dynamics Including Independent Component Analysis. J Neurosci Methods 134: 9-21.    
  • 33. Bell AJ, Sejnowski TJ (1995) An Information:Maximization Approach to Blind Separation and Blind Deconvolution. Neural Comput 7: 1129-1159.    
  • 34. Belham FS, Satler C, Garcia A, et al. (2013) Age:Related Differences in Cortical Activity During a Visuo:Spatial Working Memory Task with Facial Stimuli. PLOS One 8: 1-8.
  • 35. Ocazionez SAC (2009) Processamento no Domínio da Frequência de Sinais de Eletroencefalografia Coletados Durante Protocolo de Estresse Moderado. [Dissertação]. Brasília, Distrito Federal: Universidade de Brasília. pp. 119.
  • 36. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart Rate Variability: Standards of Measurement, Physiological Interpretation and Clinical Use. Circulation 93: 1043-1065.    
  • 37. Strauss E, Sherman EMS, Spreen O (2006) Executive Functions. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary, Third Edition. New York: Oxford University Press. pp. 401-545.
  • 38. Klimesch W (2012) Alpha:Band Oscillations, Attention, and Controlled Access to Stored Information. Trends Cognitive Sci 16: 606-617.    
  • 39. Sauseng P, Klimesch W, Schabus M, et al. (2005) Fronto:parietal EGG Coherence in Theta and Upper Alpha Reflect Central Executive Functions of Working Memory. Int J Psychophysiol 57: 97-103.    
  • 40. Serrien DJ, Ivry RB, Swinnen SP (2006) Dynamics of Hemispheric Specialization and Integration in the Context of Motor Control. Nat Rev 7: 160-167.
  • 41. Lent R (2010) Cem Bilhões de Neurônios. São Paulo: Atheneu. pp. 765.
  • 42. Boggio PS, Bermpohl F, Vergara AO, et al. (2007) Go:No:Go Task Performance Improvement After Anodal Transcranial Dc Stimulation of the Left Dorsolateral Prefrontal Cortex in Major Depression. J Affect Disorder 101: 91-98.    
  • 43. Knyazev GG (2010) Antero:Posterior EEG Spectral Power Gradient as a Correlate of Extraversion and Behavioural Inhibition. Open Neuroimaging J 4: 114-120.
  • 44. Herwig U, Satrapi P, Schonfeldt-Lecuona C (2003) Using the International 10:20 EEG System for Positioning of Transcranial Magnetic Stimulation. Brain Topography 16: 95-99.    
  • 45. Cappa SF, Perani D (2002) Nouns and Verbs: Neurological Correlates of Linguistic Processing. Rivista di Linguistica 14: 73-83.
  • 46. Martin A, Haxby JV, Lalonde FM, et al. (1995) Discrete Cortical Regions Associated with Knowledge of Color and Knowledge of Action. Science 270: 102-105.    
  • 47. Hansen AL, Johnsen BH, Thayer JF (2003) Vagal Influence on Working Memory and Attetion. Int J Psychophysiol 48: 263-274.    


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