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Article published In: The Mental Lexicon
Vol. 10:2 (2015) ► pp.221–246

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Emotional arousal and lexical specificity modulate response times differently depending on ear of presentation in a dichotic listening task

Published online: 11 September 2015
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https://doi.org/10.1075/ml.10.2.03blo
We investigated possible hemispheric differences in the processing of four different lexical semantic categories: SPECIFIC (e.g. bird), GENERAL (e.g. animal), ABSTRACT (e.g. advice), and EMOTIONAL (e.g. love). These wordtypes were compared using a dichotic listening paradigm and a semantic category classification task. Response times (RTs) were measured when participants classified testwords as concrete or abstract. In line with previous findings, words were expected to be processed faster following right-ear presentation. However, lexical specificity and emotional arousal were predicted to modulate response times differently depending on the ear of presentation. For left-ear presentation, relatively faster RTs were predicted for SPECIFIC and EMOTIONAL words as opposed to GENERAL and ABSTRACT words. An interaction of ear and wordtype was found. For right-ear presentation, RTs increased as testwords’ imageability decreased along the span SPECIFIC–GENERAL–EMOTIONAL–ABSTRACT. In contrast, for left ear presentation, EMOTIONAL words were processed fastest, while SPECIFIC words gave rise to long RTs on par with those for ABSTRACT words. Thus, the prediction for EMOTIONAL words presented in the left ear was borne out, whereas the prediction for SPECIFIC words was not. This might be related to previously found differences in processing of stimuli at a global or local level.
References (46)
Altarriba, J., Bauer, L.M., & Benvenuto, C. (1999). Concreteness, context availability, and imageability ratings and word associations for abstract, concrete, and emotion words. Behavior Research Methods, Instruments, & Computers 31>1, 578–602. Google Scholar logo with link to Google Scholar
Altarriba, J., & Bauer, L.M. (2004). The distinctiveness of emotion concepts: A comparison between emotion, abstract, and concrete words. The American Journal of Psychology, 117(3), 389–410. Google Scholar logo with link to Google Scholar
Bayazıt, O., Öniz, A., Hahn, C., Güntürkün, O., & Özgören, M. (2009). Dichotic listening revisited: Trial-by-trial ERP analyses reveal intra- and interhemispheric differences. Neuropsychologia, 47 (2), 536–545. Google Scholar logo with link to Google Scholar
Binder, J.R., Westbury, C., McKiernan, K.A., Possing, E.T., & Medler, D.A. (2005). Distinct brain systems for processing concrete and abstract concepts. Journal of Cognitive Neuroscience, 17 (6), 905–917. Google Scholar logo with link to Google Scholar
Borod, J.C., Andelman, F., Obler, L.K., Tweedy, J.R., & Wilkowitz, J. (1992). Right hemisphere specialization for the identification of emotional words and sentences: Evidence from stroke patients. Neuropsychologia, 30 (9), 827–844. Google Scholar logo with link to Google Scholar
Brännström, K.J., & Grenner, J. (2008a). Long-term measurement of binaural intensity matches and pitch matches. I. Normal hearing. International Journal of Audiology, 47 (2), 59–66. Google Scholar logo with link to Google Scholar
Brännström, K.J, & Grenner, J. (2008b). Clinical application of long-term intensity and pitch matches in fluctuating low-frequency hearing loss. International Journal of Audiology, 47 (7), 412–419. Google Scholar logo with link to Google Scholar
Buchanan, T.W., Lutz, K., Mirzazade, S., Specht, K., Shah, N.J., Zilles, K., & Jäncke, L. (2000). Recognition of emotional prosody and verbal components of spoken language: an fMRI study. Cognitive Brain Research, 9 (3), 227–238. Google Scholar logo with link to Google Scholar
Coltheart, M. (1981). The MRC psycholinguistic database. The Quarterly Journal of Experimental Psychology Section A, 33 (4), 497–505. Google Scholar logo with link to Google Scholar
Crutch, S.J., & Warrington, E.K. (2003). Preservation of propositional speech in a pure anomic: The importance of an abstract vocabulary. Neurocase, 9 (6), 465–481. Google Scholar logo with link to Google Scholar
Ely, P.W., Graves, R.E., & Potter, S.M. (1989). Dichotic listening indices of right hemisphere semantic processing. Neuropsychologia, 27 (7), 1007–1015. Google Scholar logo with link to Google Scholar
Ejerhed, E., Källgren, G., Wennstedt, O., & Åström, M. 1992. The linguistic annotation system of the Stockholm-Umeå corpus roject. Tech. rep. 331, Department of General Linguistics, Umeå University, Umeå, Sweden.Google Scholar logo with link to Google Scholar
Fink, G.R., Halligan, P.W., Marshall, J.C., Frith, C.D., Frackowiak, R.S.J., & Dolan, R.J. (1996). Where in the brain does visual attention select the forest and the trees? Nature, 382 (6592), 626–628. Google Scholar logo with link to Google Scholar
Fink, G.R., Marshall, J.C., & Halligan, P.W. (2000). Neuronal activity in early visual areas during global and local processing: A comment on Heinze, Hinrichs, Scholz, Burchert, and Mangun. Journal of Cognitive Neuroscience, 12 (2), 355–356. Google Scholar logo with link to Google Scholar
Han, S., Weaver, J.A., Murray, S.O., Kang, X., & Yund, E.W. (2002). Hemispheric Asymmetry in Global/Local Processing: Effects of stimulus position and spatial frequency. NeuroImage, 171, 1290–1299. Google Scholar logo with link to Google Scholar
Hauk, O., & Pulvermüller, F. (2004). Neurophysiological distinction of action words in the fronto-central cortex. Human Brain Mapping, 21 (3), 191–201. Google Scholar logo with link to Google Scholar
Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8 (5), 393–402. Google Scholar logo with link to Google Scholar
Hugdahl, K. (2000). Lateralization of cognitive processes in the brain. Acta Psychologica, 105 (2–3), 211–235. Google Scholar logo with link to Google Scholar
Khader, P.H., Jost, K., Mertens, M., Bien, S., & Rösler, F. (2010). Neural correlates of generating visual nouns and motor verbs in a minimal phrase context. Brain Research, 1318 (C), 122–132. Google Scholar logo with link to Google Scholar
Kimura, D. (1967). Functional Asymmetry of the brain in dichotic listening. Cortex, 3 (2), 163–178. Google Scholar logo with link to Google Scholar
Kousta, S.-T., Vinson, D.P., & Vigliocco, G. (2009). Emotion words, regardless of polarity, have a processing advantage over neutral words. Cognition, 112 (3), 473–481. Google Scholar logo with link to Google Scholar
Kousta, S.-T., Vigliocco, G., Vinson, D.P., Andrews, M., & Del Campo, E. (2011). The representation of abstract words: Why emotion matters. Journal of Experimental Psychology: General, 140 (1), 14–34. Google Scholar logo with link to Google Scholar
Laeng, B., Zarrinpar, A., & Kosslyn, S.M. (2003). Do separate processes identify objects as exemplars versus members of basic-level categories? Evidence from hemispheric specialization. Brain and Cognition, 53 (1), 15–27. Google Scholar logo with link to Google Scholar
Ley, R.G., & Bryden, M.P. (1982). A dissociation of right and left hemispheric effects for recognizing emotional tone and verbal content. Brain and Cognition, 1 (1), 3–9. Google Scholar logo with link to Google Scholar
Mårtensson, F., Roll, M., Apt, P., & Horne, M. (2011). Modeling the meaning of words: Neural correlates of abstract and concrete noun processing. Acta Neurobiologiae Experimentalis, 711, 455–478.Google Scholar logo with link to Google Scholar
Mårtensson, F., Roll, M., Lindgren, M., Apt, P., & Horne, M. (2014). Sensory-specific anomic aphasia following left occipital lesions: Data from free oral descriptions of concrete word meanings. Neurocase, 20 (2), 192–207. Google Scholar logo with link to Google Scholar
McFarland, K., McFarland, M.L., Bain, J.D., & Ashton, R. (1978). Ear differences of abstract and concrete word recognition. Neuropsychologia, 161, 555–561. Google Scholar logo with link to Google Scholar
Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9 (3), 353–383. Google Scholar logo with link to Google Scholar
Oldfield, R.C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9(1), 97–113. Google Scholar logo with link to Google Scholar
Oliveira, J., Perea, M.V., Ladera, V., & Gamito, P. (2013). The roles of word concreteness and cognitive load on interhemispheric processes of recognition. Laterality: Asymmetries of Body, Brain and Cognition, 18 (2), 203–215. Google Scholar logo with link to Google Scholar
Paivio, A. (1990). Mental representations. Oxford: Oxford University Press. Google Scholar logo with link to Google Scholar
. (2010). Dual coding theory and the mental lexicon. The Mental Lexicon, 5 (2), 205–230. Google Scholar logo with link to Google Scholar
Preacher, K.J. (2001, April). Calculation for the chi-square test: An interactive calculation tool for chi-square tests of goodness of fit and independence [Computer software]. Available from [URL].
Prior, M.R., Cumming, G., & Hendy, J. (1984). Recognition of abstract and concrete words in a dichotic listening paradigm. Cortex, 20 (1), 149–157. Google Scholar logo with link to Google Scholar
Pujol, J., Deus, J., Losilla, J.M., & Capdevila, A. (1999). Cerebral lateralization of language in normal left-handed people studied by functional MRI. Neurology, 52 (5), 1038–1038. Google Scholar logo with link to Google Scholar
Robertson, L.C., & Lamb, M.R. (1991). Neuropsychological contributions to theories of part/whole organization. Cognitive Psychology, 231, 299–330. Google Scholar logo with link to Google Scholar
Roll, M., Mårtensson, F., Sikström, S., Apt, P., Arnling-Bååth, R., & Horne, M. (2012). Atypical associations to abstract words in Broca’s aphasia. Cortex, 48 (8), 1068–1072. Google Scholar logo with link to Google Scholar
Rosch, E., Mervis, C.B., Gray, W.D., Johnson, D.M., & Boyes-Braem, P. (1976). Basic objects in natural categories. Cognitive Psychology, 8 (3), 382–439. Google Scholar logo with link to Google Scholar
Rutten, G.J.M., Ramsey, N.F., van Rijen, P.C., Alpherts, W.C., & van Veelen, C.W.M. (2002). fMRI-determined language ateralization in patients with inilateral or mixed language dominance according to the wada test. NeuroImage, 17 (1), 447–460. Google Scholar logo with link to Google Scholar
Sabsevitz, D.S., Medler, D.A., Seidenberg, M., & Binder, J.R. (2005). Modulation of the semantic system by word imageability. NeuroImage, 27 (1), 188–200. Google Scholar logo with link to Google Scholar
Sandberg, C., & Kiran, S. (2014). Analysis of abstract and concrete word processing in persons with aphasia and age-matched neurologically healthy adults using fMRI. Neurocase, 20 (4), 361–388. Google Scholar logo with link to Google Scholar
Wada, J., & Rasmussen, T. (1960). Intracarotid injection of sodium amythal for the lateralization of cerebral speech dominance: Experimental and clinical observations. Journal of Neurosurgery, 171, 266–282. Google Scholar logo with link to Google Scholar
Warrington, E.K. (1975). The selective impairment of semantic memory. Quarterly Journal of Experimental Psychology, 27 (4), 635–657. Google Scholar logo with link to Google Scholar
Westbury, C.F., Shaoul, C., Hollis, G., Smithson, L., Briesemeister, B.B., Hofmann, M.J., & 
Jacobs, A.M. (2013). Now you see it, now you don’t: On emotion, context, & the algorithmic prediction of human imageability judgments. Frontiers in Psychology, 41, 991. Google Scholar logo with link to Google Scholar
Yasin, I. (2007). Hemispheric differences in processing dichotic meaningful and non-meaningful words. Neuropsychologia, 45 (12), 2718–2729. Google Scholar logo with link to Google Scholar
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Blomberg, Frida, Mikael Roll, Johan Frid, Magnus Lindgren & Merle Horne
2020. The role of affective meaning, semantic associates, and orthographic neighbours in modulating the N400 in single words. The Mental Lexicon 15:2 ► pp. 161 ff. DOI logo

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