Volume 8, Issue 2 (2-2018)                   MJLTM 2018, 8(2): 49-76 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Salehi S, Khatoonabadi A R, Ashrafi M R, Mohammadkhani G, Maroufizadeh S. Valence effects on phonological processing in normal Persian speaking children: A study by ERP. MJLTM. 2018; 8 (2) :49-76
URL: http://mjltm.org/article-1-210-en.html
Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
Abstract:   (2703 Views)
Objective: Emotional content and language processing has mutual relationship. But there is limited evidence in emotional production. Verbal emotion has two aspect including arousal and valence. The aim of the present study is investigation of effect of valence on phonological processing in Persian speaking children by ERP.
Material and methods: One hundred and twenty emotional words in three categories including positive (high valence or pleasant), negative (low valence or unpleasant) and neutral was given to 10 normal Persian speaking children to read aloud. Concurrently, Event Related Potentials were recorded by 64 electrodes. Phonological processing was supposed to be 100-400ms before articulation onset. Behavioral and electrophysiological results were analyzed in this time range.
Results: Positive words have more accuracy and smaller reaction time compare to negative words. These differences were statistically significant. Positive words extracted larger amplitude in frontal, temporal and posterior regions. Neutral word have larger amplitude in central regions. Topography illustrated diffuse activity in emotional words. There were significant differences between negative, positive and neutral words in prefrontal and right posterior regions.
Conclusion: Emotion increases brain activity in some regions. It lead in faster processing. Emotional content decreases amplitude and helps to phonological processing in limited regions.
Full-Text [PDF 1698 kb]   (875 Downloads)    
Type of Study: Research | Subject: Foreign language teaching and learning
Received: 2018/08/26 | Accepted: 2018/08/26 | Published: 2018/08/26

References
1. Kotz SA and Paulmann S. Emotion, Language, and the Brain. Lang Linguist Compass, 2011. 5(3): p. 108-125. [DOI:10.1111/j.1749-818X.2010.00267.x]
2. Vinson D, Ponari M and Vigliocco G. How does emotional content affect lexical processing? Cognition & Emotion, 2014. 28(4): p. 737-746. [DOI:10.1080/02699931.2013.851068]
3. Russell JA, Bachorowski JA and Fernandez-Dols JM. Facial and vocal expressions of emotion. Annu Rev Psychol, 2003. 54: p. 329-49. [DOI:10.1146/annurev.psych.54.101601.145102]
4. Kensinger EA. Remembering emotional experiences: the contribution of valence and arousal. Rev Neurosci, 2004. 15(4): p. 241-51. [DOI:10.1515/REVNEURO.2004.15.4.241]
5. Adolphs R, Damasio H and Tranel D. Neural systems for recognition of emotional prosody: a 3-D lesion study. Emotion, 2002. 2(1): p. 23-51. [DOI:10.1037/1528-3542.2.1.23]
6. Banich MT and Mack M. Mind, Brain, and Language: Multidisciplinary Perspectives. 2003: Taylor & Francis.
7. Kuperman, V, Estes Z, Brysbaert M and Warriner AB. Emotion and language: valence and arousal affect word recognition. J Exp Psychol Gen, 2014. 143(3): p. 1065-1081. [DOI:10.1037/a0035669]
8. Imbir KK, Jarymowicz MT, Spustek T, Kuś R and Żygierewicz J. Origin of Emotion Effects on ERP Correlates of Emotional Word Processing: The Emotion Duality Approach. PLOS ONE, 2015. 10(5): p. e0126129. [DOI:10.1371/journal.pone.0126129]
9. Yao Z, Yu D, Wang L, Zhu X, Guo J and Wang Z. Effects of valence and arousal on emotional word processing are modulated by concreteness: Behavioral and ERP evidence from a lexical decision task. Int J Psychophysiol, 2016. 110: p. 231-242. [DOI:10.1016/j.ijpsycho.2016.07.499]
10. Kissler J, Herbert C, Peyk P and Junghofer M. Buzzwords: early cortical responses to emotional words during reading. Psychol Sci, 2007. 18(6): p. 475-80. [DOI:10.1111/j.1467-9280.2007.01924.x]
11. Bernat E, Bunce S and Shevrin H. Event-related brain potentials differentiate positive and negative mood adjectives during both supraliminal and subliminal visual processing. Int J Psychophysiol, 2001. 42(1): p. 11-34. [DOI:10.1016/S0167-8760(01)00133-7]
12. Hinojosa JA, Mendez-Bertolo C, Carretie L and Pozo MA. Emotion modulates language production during covert picture naming. Neuropsychologia, 2010. 48(6): p. 1725-34. [DOI:10.1016/j.neuropsychologia.2010.02.020]
13. Laganaro M. ERP topographic analyses from concept to articulation in word production studies. Frontiers in Psychology, 2014. 5: p. 493. [DOI:10.3389/fpsyg.2014.00493]
14. Levelt WJM. Spoken word production: A theory of lexical access. Proceedings of the National Academy of Sciences, 2001. 98(23): p. 13464-13471. [DOI:10.1073/pnas.231459498]
15. Laganaro M and Perret C. Comparing electrophysiological correlates of word production in immediate and delayed naming through the analysis of word age of acquisition effects. Brain Topogr, 2011. 24(1): p. 19-29. [DOI:10.1007/s10548-010-0162-x]
16. Wagner RK and Torgesen JK. The nature of phonological processing and its causal role in the acquisition of reading skills. Psychological Bulletin, 1987. 101(2): p. 192-212. [DOI:10.1037/0033-2909.101.2.192]
17. Ponz A, Montant M, Liegeois-Chauvel C, Silva C, Braun M, Jacobs AM, Ziegler JC. Emotion processing in words: a test of the neural re-use hypothesis using surface and intracranial EEG. Social Cognitive and Affective Neuroscience, 2014. 9(5): p. 619-627. [DOI:10.1093/scan/nst034]
18. Oldfield RC. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 1971. 9(1): p. 97-113. [DOI:10.1016/0028-3932(71)90067-4]
19. Nazari MA, Khayati F, Poursharifi H, Hakimi M, Shojaei Z. Primary Normalization of Emotional Farsi Words. Applied Psychological Research Quarterly. 2014, 4(4), p. 41-71.
20. Hunt MJ. Spectral Signal Processing for ASR, in IEEE ASRU Workshop. 1999.
21. Bigdely-Shamlo N, Mullen T, Kothe C, Su KM and Robbins KA. The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 2015. 9: p. 16. [DOI:10.3389/fninf.2015.00016]
22. Hickok G. The Functional Neuroanatomy of Language. Physics of life reviews, 2009. 6(3): p. 121-143. [DOI:10.1016/j.plrev.2009.06.001]
23. Riès SK, Xie K, Haaland KY, Dronkers NF and Knight RT. Role of the lateral prefrontal cortex in speech monitoring. Frontiers in Human Neuroscience, 2013. 7: p. 703. [DOI:10.3389/fnhum.2013.00703]

Add your comments about this article : Your username or Email:
CAPTCHA

© 2021 CC BY-NC 4.0 | Modern Journal of Language Teaching Methods (MJLTM)

Developed by : ISCDBU