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Yousef Pour, M, Masjoodi, S, Fooladi, M, Jalalvandi, M, Vosoughi, R, Vejdani Afkham, B, Khabiri, H. (1399). Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS). سامانه مدیریت نشریات علمی, 10(4), 467-478. doi: 10.31661/jbpe.v0i0.1174
M Yousef Pour; S Masjoodi; M Fooladi; M Jalalvandi; R Vosoughi; B Vejdani Afkham; H Khabiri. "Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)". سامانه مدیریت نشریات علمی, 10, 4, 1399, 467-478. doi: 10.31661/jbpe.v0i0.1174
Yousef Pour, M, Masjoodi, S, Fooladi, M, Jalalvandi, M, Vosoughi, R, Vejdani Afkham, B, Khabiri, H. (1399). 'Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)', سامانه مدیریت نشریات علمی, 10(4), pp. 467-478. doi: 10.31661/jbpe.v0i0.1174
Yousef Pour, M, Masjoodi, S, Fooladi, M, Jalalvandi, M, Vosoughi, R, Vejdani Afkham, B, Khabiri, H. Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS). سامانه مدیریت نشریات علمی, 1399; 10(4): 467-478. doi: 10.31661/jbpe.v0i0.1174

Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)

Journal of Biomedical Physics and Engineering
مقاله 9، دوره 10، شماره 4، مهر و آبان 2020، صفحه 467-478    اصل مقاله (977.17 K)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.1174
نویسندگان
M Yousef Pour* 1؛ S Masjoodi1؛ M Fooladi2؛ M Jalalvandi2؛ R Vosoughi2؛ B Vejdani Afkham2؛ H Khabiri2
1PhD, School of Medicine, Aja university of Medical Science, Tehran, Iran
2MSc, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences(TUMS), Tehran, Iran
چکیده
Background: The Stroop test is a well-known model to denote the decline in performance under the incongruent condition, which requires selective attention and control of competitive responses. Functional near-infrared spectroscopy can identify activated brain regions associated with the Stroop interference effect.
Objective: This research aims to identify the neural correlates associated with the Stroop tasks within the brain activated regions.
Materials and Methods: In this cross sectional study, twelve right-handed healthy controls were investigated by means of a multi-channels fNIRS unit during the execution of the Stroop test. Effective connectivity changes in the prefrontal cortex between Stroop attentional conflict and rest states were calculated using DCM approach to investigate (1) areas known for selective attention and (2) analyze inter-network functional connectivity strength (FCS) by selecting several brain functional networks.
Results: The results indicated that an increased activity was recorded in the LDLPFC during incongruent condition, while under neutral condition, the increase in activity was even more pronounced in those areas. Effect of Stroop interference associated with significant consistent causes an increase in the RDLPFC to DMPFC, LDLPFC to DMPFC and LDLPFC to RPFC effective connectivity strengths.
Conclusion: This study showed the use of DCM algorithm for fNIRS data with respect to fMRI has provided additional information about the directional connectivity and causal interactions in LPFC networks during a conflict processing. Eventually, high temporal resolution fNIRS can be a promising tool for monitoring functional brain activation under the cognitive paradigms in neurological research and psychotherapy applications.
کلیدواژه‌ها
Stroop Test؛ Fnirs؛ Connectivity؛ Prefrontal Cortex؛ Attention
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مراجع
  1. Schacter DL. The seven sins of memory. Insights from psychology and cognitive neuroscience. Am Psychol. 1999;54:182-203. doi: 10.1037/0003-066x.54.3.182. PubMed PMID: 10199218.
  2. Stroop JR. Studies of interference in serial verbal reactions. J Exp Psychol. 1935;18:643. doi: 10.1037/h0054651.
  3. MacLeod CM. The Stroop task: The” gold standard” of attentional measures. J Exp Psychol Gen. 1992;121:12. doi: 10.1037//0096-3445.121.1.12.
  4. Williams JM, Mathews A, MacLeod C. The emotional Stroop task and psychopathology. Psychol Bull. 1996;120:3-24. doi: 10.1037/0033-2909.120.1.3. PubMed PMID: 8711015.
  5. MacLeod CM, MacDonald PA. Interdimensional interference in the Stroop effect: uncovering the cognitive and neural anatomy of attention. Trends Cogn Sci. 2000;4:383-91. doi: 10.1016/s1364-6613(00)01530-8. PubMed PMID: 11025281.
  6. Kane MJ, Engle RW. Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. J Exp Psychol Gen. 2003;132:47-70. doi: 10.1037/0096-3445.132.1.47. PubMed PMID: 12656297.
  7. Bush G, Whalen PJ, Rosen BR, Jenike MA, McInerney SC, Rauch SL. The counting Stroop: an interference task specialized for functional neuroimaging--validation study with functional MRI. Hum Brain Mapp. 1998;6:270-82. doi: 10.1002/(sici)1097-0193(1998)6:43.3.co;2-h. PubMed PMID: 9704265.
  8. Adleman NE, Menon V, Blasey CM, White CD, Warsofsky IS, Glover GH, et al. A developmental fMRI study of the Stroop color-word task. Neuroimage. 2002;16:61-75. doi: 10.1006/nimg.2001.1046. PubMed PMID: 11969318.
  9. Paus T, Petrides M, Evans AC, Meyer E. Role of the human anterior cingulate cortex in the control of oculomotor, manual, and speech responses: a positron emission tomography study. J Neurophysiol. 1993;70:453-69. doi: 10.1152/jn.1993.70.2.453. PubMed PMID: 8410148.
  10. Galer S, Op De Beeck M, Urbain C, Bourguignon M, Ligot N, Wens V, et al. Investigating the neural correlates of the Stroop effect with magnetoencephalography. Brain Topogr. 2015;28:95-103. doi: 10.1007/s10548-014-0367-5. PubMed PMID: 24752907.
  11. Baskar RSVV, Martin B, Sundhararajan M, Daimiwal N. Statistical Analysis of Connectivity Measures of Electroencephalogram during Congruent and Incongruent Stroop Task. International Journal of Pure and Applied Mathematics. 2018;118:107-22.
  12. Masataka N, Perlovsky L, Hiraki K. Near-infrared spectroscopy (NIRS) in functional research of prefrontal cortex. Front Hum Neurosci. 2015;9:274. doi: 10.3389/fnhum.2015.00274. PubMed PMID: 26029090. PubMed PMCID: PMC4428134.
  13. Monahan CB. Task specific neural correlates of the cued Stroop interference effect: an MEG study. Colorado: University of Colorado at Denver; 2016.
  14. Ferrari M, Quaresima V. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. Neuroimage. 2012;63:921-35. doi: 10.1016/j.neuroimage.2012.03.049. PubMed PMID: 22510258.
  15. Cutini S, Moro SB, Bisconti S. Functional near infrared optical imaging in cognitive neuroscience: an introductory review. Journal of Near Infrared Spectroscopy. 2012;20:75-92. doi: 10.1255/jnirs.969.
  16. Schroeter ML, Zysset S, Wahl M, Von Cramon DY. Prefrontal activation due to Stroop interference increases during development--an event-related fNIRS study. Neuroimage. 2004;23:1317-25. doi: 10.1016/j.neuroimage.2004.08.001. PubMed PMID: 15589096.
  17. Schroeter ML, Zysset S, Kupka T, Kruggel F, Yves Von Cramon D. Near-infrared spectroscopy can detect brain activity during a color-word matching Stroop task in an event-related design. Hum Brain Mapp. 2002;17:61-71. doi: 10.1002/hbm.10052. PubMed PMID: 12203689.
  18. Yanagisawa H, Dan I, Tsuzuki D, Kato M, Okamoto M, Kyutoku Y, et al. Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test. Neuroimage. 2010;50:1702-10. doi: 10.1016/j.neuroimage.2009.12.023. PubMed PMID: 20006719.
  19. Szucs D, Killikelly C, Cutini S. Event-related near-infrared spectroscopy detects conflict in the motor cortex in a Stroop task. Brain Res. 2012;1477:27-36. doi: 10.1016/j.brainres.2012.08.023. PubMed PMID: 22921848.
  20. Van Den Heuvel MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010;20:519-34. doi: 10.1016/j.euroneuro.2010.03.008. PubMed PMID: 20471808.
  21. Harding IH, Yucel M, Harrison BJ, Pantelis C, Breakspear M. Effective connectivity within the frontoparietal control network differentiates cognitive control and working memory. Neuroimage. 2015;106:144-53. doi: 10.1016/j.neuroimage.2014.11.039. PubMed PMID: 25463464.
  22. Marreiros AC, Stephan KE, Friston KJ. Dynamic causal modeling. Scholarpedia. 2010;5:9568. doi: 10.4249/scholarpedia.9568.
  23. Tak S, Kempny AM, Friston KJ, Leff AP, Penny WD. Dynamic causal modelling for functional near-infrared spectroscopy. Neuroimage. 2015;111:338-49. doi: 10.1016/j.neuroimage.2015.02.035. PubMed PMID: 25724757. PubMed PMCID: PMC4401444.
  24. Bulgarelli C, Blasi A, Arridge S, Powell S, De Klerk C, Southgate V, et al. Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset. Neuroimage. 2018;175:413-24. doi: 10.1016/j.neuroimage.2018.04.022. PubMed PMID: 29655936. PubMed PMCID: PMC5971219.
  25. Schroeter ML, Bucheler MM, Muller K, Uludag K, Obrig H, Lohmann G, et al. Towards a standard analysis for functional near-infrared imaging. Neuroimage. 2004;21:283-90. doi: 10.1016/j.neuroimage.2003.09.054. PubMed PMID: 14741666.
  26. Uga M, Dan I, Sano T, Dan H, Watanabe E. Optimizing the general linear model for functional near-infrared spectroscopy: an adaptive hemodynamic response function approach. Neurophotonics. 2014;1:015004. doi: 10.1117/1.NPh.1.1.015004. PubMed PMID: 26157973. PubMed PMCID: PMC4478847.
  27. Ashburner J, Barnes G, Chen C, Daunizeau J, Flandin G, Friston K, et al. SPM12 manual. London: Welcome Trust Centre for Neuroimaging; 2016.
  28. Herreras EB. Cognitive neuroscience; The biology of the mind. Cuadernos de Neuropsicología/Panamerican Journal of Neuropsychology. 2010;4:87-90.
  29. Bledowski C, Kaiser J, Rahm B. Basic operations in working memory: contributions from functional imaging studies. Behav Brain Res. 2010;214:172-9. doi: 10.1016/j.bbr.2010.05.041. PubMed PMID: 20678984.
  30. Herd SA, Banich MT, O’Reilly RC. Neural mechanisms of cognitive control: an integrative model of stroop task performance and FMRI data. J Cogn Neurosci. 2006;18:22-32. doi: 10.1162/089892906775250012. PubMed PMID: 16417680.
  31. Marek T, Fafrowicz M, Golonka K, Mojsa-Kaja J, Oginska H, Tucholska K, et al. Diurnal patterns of activity of the orienting and executive attention neuronal networks in subjects performing a Stroop-like task: a functional magnetic resonance imaging study. Chronobiol Int. 2010;27:945-58. doi: 10.3109/07420528.2010.489400. PubMed PMID: 20636208.
  32. Milham MP, Erickson KI, Banich MT, Kramer AF, Webb A, Wszalek T, et al. Attentional control in the aging brain: insights from an fMRI study of the stroop task. Brain Cogn. 2002;49:277-96. doi: 10.1006/brcg.2001.1501. PubMed PMID: 12139955.
  33. Peterson BS, Kane MJ, Alexander GM, Lacadie C, Skudlarski P, Leung HC, et al. An event-related functional MRI study comparing interference effects in the Simon and Stroop tasks. Brain Res Cogn Brain Res. 2002;13:427-40. doi: 10.1016/s0926-6410(02)00054-x. PubMed PMID: 11919006.
  34. Prakash RS, Erickson KI, Colcombe SJ, Kim JS, Voss MW, Kramer AF. Age-related differences in the involvement of the prefrontal cortex in attentional control. Brain Cogn. 2009;71:328-35. doi: 10.1016/j.bandc.2009.07.005. PubMed PMID: 19699019. PubMed PMCID: PMC2783271.
  35. Harrison BJ, Shaw M, Yucel M, Purcell R, Brewer WJ, Strother SC, et al. Functional connectivity during Stroop task performance. Neuroimage. 2005;24:181-91. doi: 10.1016/j.neuroimage.2004.08.033. PubMed PMID: 15588609.
  36. Egner T, Hirsch J. The neural correlates and functional integration of cognitive control in a Stroop task. Neuroimage. 2005;24:539-47. doi: 10.1016/j.neuroimage.2004.09.007. PubMed PMID: 15627596.
  37. Duchek JM, Balota DA, Thomas JB, Snyder AZ, Rich P, Benzinger TL, et al. Relationship between Stroop performance and resting state functional connectivity in cognitively normal older adults. Neuropsychology. 2013;27:516-28. doi: 10.1037/a0033402. PubMed PMID: 24040929. PubMed PMCID: PMC3837537.
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