An fMRI study of concreteness effects in spoken word recognition

Behavioral and Brain Functions

Tracy Roxbury¹  Katie McMahon¹  David A Copland² 

[1] Centre for Advanced Imaging, University of Queensland, St Lucia 4072, QLD, Australia

[2] Clinical Centre for Research Excellence in Aphasia Rehabilitation, Brisbane, Australia

关键词: Abstract;    Concrete;    Auditory lexical decision;    Neuroimaging;    fMRI;    Language;   

Others  :  1083993
DOI  :  10.1186/1744-9081-10-34

 received in 2014-02-05, accepted in 2014-06-27,  发布年份 2014

【 摘 要 】

Background

Evidence for the brain mechanisms recruited when processing concrete versus abstract concepts has been largely derived from studies employing visual stimuli. The tasks and baseline contrasts used have also involved varying degrees of lexical processing. This study investigated the neural basis of the concreteness effect during spoken word recognition and employed a lexical decision task with a novel pseudoword condition.

Methods

The participants were seventeen healthy young adults (9 females). The stimuli consisted of (a) concrete, high imageability nouns, (b) abstract, low imageability nouns and (c) opaque legal pseudowords presented in a pseudorandomised, event-related design. Activation for the concrete, abstract and pseudoword conditions was analysed using anatomical regions of interest derived from previous findings of concrete and abstract word processing.

Results

Behaviourally, lexical decision reaction times for the concrete condition were significantly faster than both abstract and pseudoword conditions and the abstract condition was significantly faster than the pseudoword condition (p < 0.05). The region of interest analysis showed significantly greater activity for concrete versus abstract conditions in the left dorsolateral prefrontal cortex, posterior cingulate and bilaterally in the angular gyrus. There were no significant differences between abstract and concrete conditions in the left superior temporal gyrus or inferior frontal gyrus.

Conclusions

These findings confirm the involvement of the bilateral angular gyrus, left posterior cingulate and left dorsolateral prefrontal cortex in retrieving concrete versus abstract concepts during spoken word recognition. Significant activity was also elicited by concrete words relative to pseudowords in the left fusiform and left anterior middle temporal gyrus. These findings confirm the involvement of a widely distributed network of brain regions that are activated in response to the spoken recognition of concrete but not abstract words. Our findings are consistent with the proposal that distinct brain regions are engaged as convergence zones and enable the binding of supramodal input.

【 授权许可】

   
2014 Roxbury et al.; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]Paivio A: Mind and Its Evolution: A Dual Coding Theoretical Debate. Mahwah, New Jersey: Lawrence Erlbaum Associates Inc., Publishers; 2007.
• [2]Reilly J, Kean J: Formal distinctiveness of high- and low-imageability nouns: analyses and theoretical implications. Cogn Sci 2007, 31:157-168.
• [3]Barber HA, Otten LJ, Kousta ST, Vigliocco G: Concreteness in word processing: ERP and behavioral effects in a lexical decision task. Brain Lang 2013, 125:47-53.
• [4]Kousta ST, Vigliocco G, Vinson DP, Andrews M, Del Campo E: The representation of abstract words: why emotion matters. J Exp Psychol Gen 2011, 140:14-34.
• [5]Paivio A: Dual coding theory - retrospect and current status. Can J Psychol 1991, 45:255-287.
• [6]Binder JR, Westbury CF, McKiernan KA, Possing ET, Medler DA: Distinct brain systems for processing concrete and abstract concepts. J Cogn Neurosci 2005, 17:905-917.
• [7]James CT: The role of semantic information in lexical decisions. J Exp Psychol Hum Percept Perform 1975, 1:130-136.
• [8]Sandberg C, Kiran S: Analysis of abstract and concrete word processing in persons with aphasia and age-matched neurologically healthy adults using fMRI. Neurocase 2014, 20:361-388.
• [9]Franklin S: Dissociations in auditory word comprehension - evidence from 9 fluent aphasic patients. Aphasiology 1989, 3:189-207.
• [10]Coltheart M, Patterson K, Marshall J (Eds): Deep Dyslexia. London: Routledge & Kegan Paul; 1980.
• [11]Goodglass H, Hyde MR, Blumstein S: Frequency, picturability and availability of nouns in aphasia. Cortex 1969, 5:104-119.
• [12]Jefferies E, Patterson K, Jones RW, Lambon Ralph MA: Comprehension of concrete and abstract words in semantic dementia. Neuropsychology 2009, 23:492-499.
• [13]Breedin SD, Saffran EM, Coslett HB: Reversal of the concreteness effect in a patient with semantic dementia. Cognition 1994, 11:617-660.
• [14]Papagno C, Capasso R, Zerboni H, Miceli G: A reverse concreteness effect in a subject with semantic dementia. Brain Lang 2007, 103:90-91.
• [15]Bonner MF, Vesely L, Price C, Anderson C, Richmond L, Farag C, Avants B, Grossman M: Reversal of the concreteness effect in semantic dementia. Cogn Neuropsychol 2009, 26:568-579.
• [16]Warrington EK: Concrete word dyslexia. Br J Psychol 1981, 72:175-196.
• [17]Schwanenflugel PJ, Shoben EJ: Differential context effects in the comprehension of abstract and concrete verbal materials. J Exp Psychol Learn 1983, 9:82-102.
• [18]Schwanenflugel PJ, Harnishfeger KK, Stowe RW: Context availability and lexical decisions for abstract and concrete words. J Memory Lang 1988, 27:499-520.
• [19]Holcomb PJ, Kounios J, Anderson JE, West WC: Dual-coding, context-availability, and concreteness effects in sentence comprehension: an electrophysiological investigation. J Exp Psychol Learn Mem Cogn 1999, 25:721-742.
• [20]Pexman PM, Hargreaves IS, Edwards JD, Henry LC, Goodyear BG: Neural correlates of concreteness in semantic categorization. J Cogn Neurosci 2007, 19:1407-1419.
• [21]Binder JR, Desai RH: The neurobiology of semantic memory. Trends Cogn Sci 2011, 15:527-536.
• [22]Shallice T, Cooper RP: Is there a semantic system for abstract words? Front Hum Neurosci 2013, 7:1-10.
• [23]Vigliocco G, Meteyard L, Andrews M, Kousta S: Toward a theory of semantic representation. Lang Cogn 2009, 1:219-247.
• [24]Vigliocco G, Kousta ST, Della Rosa PA, Vinson DP, Tettamanti M, Devlin JT, Cappa SF: The neural representation of abstract words: the role of emotion. Cereb Cortex 2014, 24:1767-1777.
• [25]Mestres-Misse A, Munte TF, Rodriguez-Fornells A: Functional neuroanatomy of contextual acquisition of concrete and abstract words. J Cogn Neurosci 2009, 21:2154-2171.
• [26]Fliessbach K, Weis S, Klaver P, Elger CE, Weber B: The effect of word concreteness on recognition memory. Neuroimage 2006, 32:1413-1421.
• [27]Sabsevitz DS, Medler DA, Seidenberg M, Binder JR: Modulation of the semantic system by word imageability. Neuroimage 2005, 27:188-200.
• [28]Noppeney U, Price CJ: Retrieval of abstract semantics. Neuroimage 2004, 22:164-170.
• [29]Whatmough C, Verret L, Fung D, Chertkow H: Common and contrasting areas of activation for abstract and concrete concepts: An (H2OPET)-O-15 study. J Cogn Neurosci 2004, 16:1211-1226.
• [30]Friederici AD, Opitz B, von Cramon DY: Segregating semantic and syntactic aspects of processing in the human brain: an fMRI investigation of different word types. Cereb Cortex 2000, 10:698-705.
• [31]Fiebach CJ, Friederici AD: Processing concrete words: fMRI evidence against a specific right-hemisphere involvement. Neuropsychologia 2004, 42:62-70.
• [32]Kiehl KA, Liddle PF, Smith AM, Mendrek A, Forster BB, Hare RD: Neural pathways involved in the processing of concrete and abstract words. Hum Brain Mapp 1999, 7:225-233.
• [33]Perani D, Cappa SF, Schnur T, Tettamanti M, Collina S, Rosa MM, Fazio1 F: The neural correlates of verb and noun processing: A PET study. Brain 1999, 122:2337-2344.
• [34]Evans GA, Lambon Ralph MA, Woollams AM: What’s in a word? A parametric study of semantic influences on visual word recognition. Psychon Bull Rev 2012, 19:325-331.
• [35]Tettamanti M, Manenti R, Della Rosa PA, Falini A, Perani D, Cappa SF, Moro A: Negation in the brain: Modulating action representations. Neuroimage 2008, 43:358-367.
• [36]Wise RJS, Howard D, Mummery CJ, Fletcher P, Leff A, Buchel C, Scott SK: Noun imageability and the temporal lobes. Neuropsychologia 2000, 38:985-994.
• [37]Mellet E, Tzourio N, Denis M, Mazoyer B: Cortical anatomy of mental imagery of concrete nouns based on their dictionary definition. Neuroreport 1998, 9:803-808.
• [38]D’Esposito M, Detre JA, Aguirre GK, Stallcup M, Alsop DC, Tippet LJ, Farah MJ: A functional MRI study of mental image generation. Neuropsychologia 1997, 35:725-730.
• [39]Jessen F, Heun R, Erb M, Granath DO, Klose U, Papassotiropoulos A, Grodd W: The concreteness effect: evidence for dual coding and context availability. Brain Lang 2000, 74:103-112.
• [40]Grossman M, Koenig P, DeVita C, Glosser G, Alsop D, Detre J, Gee J: The neural basis for category-specific knowledge: An fMRI study. Neuroimage 2002, 15:936-948.
• [41]Kotz SA, Cappa SF, von Cramon DY, Friederici AD: Modulation of the lexical-semantic network by auditory semantic priming: an event-related functional MRI study. Neuroimage 2002, 17:1761-1772.
• [42]Binder JR, Desai RH, Graves WW, Conant LL: Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cereb Cortex 2009, 19:2767-2796.
• [43]Wang J, Conder JA, Blitzer DN, Shinkareva SV: Neural representation of abstract and concrete concepts: a meta-analysis of neuroimaging studies. Hum Brain Mapp 2010, 31:1459-1468.
• [44]Balota DA, Yap MJ, Cortese MJ, Hutchison KA, Kessler B, Loftis B, Neely JH, Nelson DL, Simpson GB, Treiman R: The English Lexicon Project. Behav Res Methods 2007, 39:445-459.
• [45]Grainger J, Jacobs AM: Orthographic processing in visual word recognition: a multiple read-out model. Psychol Rev 1996, 103:518-565.
• [46]Balota DA, Ferraro RF, Connor LT: On the early influence of meaning in word recognition: A review of the literature. In The Psychology of Word Meaning. Edited by Schwanenflugel IP. Hillsdale, NJ: Lawrence Erlbaum Associates; 1991:187-222.
• [47]Balota DA, Paul ST, Spieler DH: Attentional control of lexical processing pathways during word recognition and reading. In Language Processing. Edited by Garrod S, Pickering M. Hove: Psychology Press; 1999:15-57.
• [48]Herbster AN, Mintun MA, Nebes RD, Becker JT: Regional cerebral blood flow during word and nonword reading. Hum Brain Mapp 1997, 5:84-92.
• [49]Price CJ: The functional anatomy of word comprehension and production. Trends Cogn Sci 1998, 2:281-288.
• [50]Rumsey JM, Nace K, Donohue B, Wise D, Maisog JM, Andreason P: A positron emission tomographic study of impaired word recognition and phonological processing in dyslexic men. Arch Neurol 1997, 54:562-573.
• [51]Newman SD, Twieg D: Differences in auditory processing of words and pseudowords: an fMRI study. Hum Brain Mapp 2001, 14:39-47.
• [52]Raettig T, Kotz SA: Auditory processing of different types of pseudo-words: an event-related fMRI study. Neuroimage 2008, 39:1420-1428.
• [53]Shafto M, Randall B, Stamatakis EA, Wright P, Tyler LK: Age-related neural reorganization during spoken word recognition: the interaction of form and meaning. J Cogn Neurosci 2012, 24:1434-1446.
• [54]Bedny M, Thompson-Schill S: Neuroanatomically separable effects of imageability and grammatical class during single-word comprehension. Brain Lang 2006, 98:127-139.
• [55]Balota DA, Cortese MJ, Sergent-Marshall SD, Spieler DH, Yap M: Visual word recognition of single-syllable words. J Exp Psychol Gen 2004, 133:283-316.
• [56]Valdois S, Carbonnel S, Juphard A, Baciu M, Ans B, Peyrin C, Segebarth C: Polysyllabic pseudo-word processing in reading and lexical decision: converging evidence from behavioral data, connectionist simulations and functional MRI. Brain Res 2006, 1085:149-162.
• [57]Kruskal WH, Wallis WA: Use of ranks in One-criterion variance analysis. J Am Stat Assoc 1952, 47:583-621.
• [58]Davis CJ: N-watch: a program for deriving neighborhood size and other psycholinguistic statistics. Behav Res Methods 2005, 37:65-70.
• [59]Wilson M: MRC psycholinguistic database: Machine-usable dictionary, version 2.00. Behav Res Methods 1988, 20:6-10.
• [60]Oldfield RC: The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 1971, 9:97-113.
• [61]Bonakdarpour B, Parrish TB, Thompson CK: Hemodynamic response function in patients with stroke-induced aphasia: implications for fMRI data analysis. Neuroimage 2007, 36:322-331.
• [62]Meinzer M, Lahiri A, Flaisch T, Hannemann R, Eulitz C: Opaque for the reader but transparent for the brain: neural signatures of morphological complexity. Neuropsychologia 2009, 47:1964-1971.
• [63]Freire L, Roche A, Mangin JF: What is the best similarity measure for motion correction in fMRI time series? IEEE Trans Med Imaging 2002, 21:470-484.
• [64]Ashburner J, Friston KJ: Unified segmentation. Neuroimage 2005, 26:839-851.
• [65]Ashburner J: A fast diffeomorphic image registration algorithm. Neuroimage 2007, 38:95-113.
• [66]Cox RW: AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996, 29:162-173.
• [67]Eickhoff SB, Paus T, Caspers S, Grosbras MH, Evans AC, Zilles K, Amunts K: Assignment of functional activations to probabilistic cytoarchitectonic areas revisited. Neuroimage 2007, 36:511-521.
• [68]Maldjian JA, Laurienti PJ, Burdette JH: Precentral gyrus discrepancy in electronic versions of the Talairach atlas. Neuroimage 2004, 21:450-455.
• [69]Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH: An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 2003, 19:1233-1239.
• [70]Indefrey P, Levelt WJ: The spatial and temporal signatures of word production components. Cognition 2004, 92:101-144.
• [71]Brett M, Anton JL, Valabregue R, Poline JB: Region of interest analysis using an SPM toolbox. Neuroimage 2002, 16:1140-1141.
• [72]Huynh H, Feldt LS: Conditions under which mean square ratios in repeated measurements designs have exact F-distributions. J Am Stat Assoc 1970, 65:1582-1589.
• [73]Benjamini Y, Hochberg Y: Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. J of the Royal Stat Soc Series B (Methodological) 1995, 57:289-300.
• [74]Caspers S, Geyer S, Schleicher A, Mohlberg H, Amunts K, Zilles K: The human inferior parietal cortex: cytoarchitectonic parcellation and interindividual variability. Neuroimage 2006, 33:430-448.
• [75]Schwanenflugel PJ: Why are Abstract Concepts Hard to Understand?. Hillsdale NJ: Erlbaum; 1991.
• [76]Price CJ: The anatomy of language: a review of 100 fMRI studies published in 2009. Ann N Y Acad Sci 2010, 1191:62-88.
• [77]Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, Wedeen VJ, Sporns O: Mapping the structural core of human cerebral cortex. PLoS Biol 2008, 6:e159.
• [78]Peelle JE, McMillan C, Moore P, Grossman M, Wingfield A: Dissociable patterns of brain activity during comprehension of rapid and syntactically complex speech: evidence from fMRI. Brain Lang 2004, 91:315-325.
• [79]Scott SK, Leff AP, Wise RJ: Going beyond the information given: a neural system supporting semantic interpretation. Neuroimage 2003, 19:870-876.
• [80]Hampson M, Driesen NR, Skudlarski P, Gore JC, Constable RT: Brain connectivity related to working memory performance. J Neurosci 2006, 26:13338-13343.
• [81]Rissman J, Eliassen JC, Blumstein SE: An event-related FMRI investigation of implicit semantic priming. J Cogn Neurosci 2003, 15:1160-1175.
• [82]Aron AR, Monsell S, Sahakian BJ, Robbins TW: A componential analysis of task‒switching deficits associated with lesions of left and right frontal cortex. Brain 2004, 127:1561-1573.
• [83]Giraud AL, Kell C, Thierfelder C, Sterzer P, Russ MO, Preibisch C, Kleinschmidt A: Contributions of sensory input, auditory search and verbal comprehension to cortical activity during speech processing. Cereb Cortex 2004, 14:247-255.
• [84]Stuss DT: Functions of the frontal lobes: relation to executive functions. J Int Neuropsychol Soc 2011, 17:759-765.
• [85]Barber HA, Kousta S-T, Otten LJ, Vigliocco G: Event-related potentials to event-related words: Grammatical class and semantic attributes in the representation of knowledge. Brain Res 2010, 1332:65-74.
• [86]Luders H, Lesser RP, Hahn J, Dinner DS, Morris HH, Wyllie E, Godoy J: Basal temporal language area. Brain 1991, 114(Pt 2):743-754.
• [87]Adams RB, Janata P: A comparison of neural circuits underlying auditory and visual object categorization. Neuroimage 2002, 16:361-377.
• [88]Gold BT, Balota DA, Jones SJ, Powell DK, Smith CD, Andersen AH: Dissociation of automatic and strategic lexical-semantics: functional magnetic resonance imaging evidence for differing roles of multiple frontotemporal regions. J Neurosci 2006, 26:6523-6532.
• [89]Price CJ: A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. Neuroimage 2012, 62:816-847.
• [90]Patterson K, Nestor PJ, Rogers TT: Where do you know what you know? The representation of semantic knowledge in the human brain. Nat Rev Neurosci 2007, 8:976-987.
• [91]Bonner MF, Price AR: Where is the anterior temporal lobe and what does It Do? J Neurosci 2013, 33:4213-4215.
• [92]Warrington EK, Shallice T: Category specific semantic impairments. Brain 1984, 107:829-853.
• [93]Lambon Ralph MA, Lowe C, Rogers TT: Neural basis of category-specific semantic deficits for living things: evidence from semantic dementia, HSVE and a neural network model. Brain 2007, 130:1127-1137.
• [94]Reilly J, Peelle JE, Grossman M: A unitary semantics account of reverse concreteness effects in semantic dementia. Brain Lang 2007, 103:86-87.
• [95]Yi HA, Moore P, Grossman M: Reversal of the concreteness effect for verbs in patients with semantic dementia. Neuropsychology 2007, 21:9-19.
• [96]Hickok G, Poeppel D: The cortical organization of speech processing. Nat Rev Neurosci 2007, 8:393-402.