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Brain Signatures of Embodied Semantics and Language: A Consensus Paper Cover

Brain Signatures of Embodied Semantics and Language: A Consensus Paper

Open Access
|Oct 2023

References

  1. Adamovich, S. V., August, K., Merians, A., & Tunik, E. (2009). A virtual reality-based system integrated with fmri to study neural mechanisms of action observation-execution: A proof of concept study. Restorative Neurology and Neuroscience, 27(3), 209223. DOI: 10.3233/RNN-2009-0471
  2. Adorni, R., & Proverbio, A. M. (2012). The neural manifestation of the word concreteness effect: An electrical neuroimaging study. Neuropsychologia, 50(5), 880891. DOI: 10.1016/j.neuropsychologia.2012.01.028
  3. Alemanno, F., Houdayer, E., Cursi, M., Velikova, S., Tettamanti, M., Comi, G., Cappa, S. F., & Leocani, L. (2012). Action-related semantic content and negation polarity modulate motor areas during sentence reading: An event-related desynchronization study. Brain Research, 1484, 3949. DOI: 10.1016/j.brainres.2012.09.030
  4. Andrews, M., Frank, S., & Vigliocco, G. (2014). Reconciling embodied and distributional accounts of meaning in language. Topics in cognitive science, 6(3), 359370. DOI: 10.1111/tops.12096
  5. Arevalo, A. L., Baldo, J. V., & Dronkers, N. F. (2012). What do brain lesions tell us about theories of embodied semantics and the human mirror neuron system? Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 48(2), 242254. DOI: 10.1016/j.cortex.2010.06.001
  6. Aurnhammer, C., Delogu, F., Schulz, M., Brouwer, H., & Crocker, M. W. (2021). Retrieval (N400) and integration (P600) in expectation-based comprehension. PLoS One, 16(9), e0257430. DOI: 10.1371/journal.pone.0257430
  7. Aziz-Zadeh, L., Wilson, S. M., Rizzolatti, G., & Iacoboni, M. (2006). Congruent embodied representations for visually presented actions and linguistic phrases describing actions. Current Biology: CB, 16(18), 18181823. DOI: 10.1016/j.cub.2006.07.060
  8. Babiloni, C., Babiloni, F., Carducci, F., Cincotti, F., Cocozza, G., Del Percio, C., Moretti, D. V., & Rossini, P. M. (2002). Human cortical electroencephalography (EEG) rhythms during the observation of simple aimless movements: A high-resolution EEG study. NeuroImage, 17(2), 559572. DOI: 10.1016/S1053-8119(02)91192-4
  9. Baddeley, A. (2012). Working Memory: Theories, Models, and Controversies. Annual Review of Psychology, 63(1), 129. DOI: 10.1146/annurev-psych-120710-100422
  10. Bak, T. H., & Chandran, S. (2012). What wires together dies together: verbs, actions and neurodegeneration in motor neuron disease. Cortex, 48(7), 936944. DOI: 10.1016/j.cortex.2011.07.008
  11. Barber, H. A., Otten, L. J., Kousta, S. T., & Vigliocco, G. (2013). Concreteness in word processing: ERP and behavioral effects in a lexical decision task. Brain and language, 125(1), 4753. DOI: 10.1016/j.bandl.2013.01.005
  12. Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and brain sciences, 22(4), 577660. DOI: 10.1017/S0140525X99002149
  13. Barsalou, L. W. (2008). Grounded cognition. Annu Rev Psychol, 59: 617645. DOI: 10.1146/annurev.psych.59.103006.093639
  14. Barsalou, L. W. (2009). Simulation, situated conceptualization, and prediction. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 364(1521), 12811289. DOI: 10.1098/rstb.2008.0319
  15. Barsalou, L. W. (2020). Challenges and Opportunities for Grounding Cognition. J Cogn, 3(1), 31. DOI: 10.5334/joc.116
  16. Barsalou, L. W., Santos, A., Simmons, W. K., & Wilson-Mendenhall, C. D. (2008). Language and simulation in conceptual processing. In M. De Vega, A. M. Glenberg & A. C. Graesser (Eds.), Symbols, embodiment, and meaning. Oxford, UK: Oxford University Press. DOI: 10.1093/acprof:oso/9780199217274.003.0013
  17. Barsalou, L. W., Simmons, W. K., Barbey, A. K., & Wilson, C. D. (2003). Grounding conceptual knowledge in modality-specific systems. Trends in cognitive sciences, 7(2), 8491. DOI: 10.1016/S1364-6613(02)00029-3
  18. Barsalou, L. W., & Wiemer-Hastings, K. (2005). Situating abstract concepts. Grounding cognition: The role of perception and action in memory, language, and thought (pp. 129163). DOI: 10.1017/CBO9780511499968.007
  19. Bechtold, L., Bellebaum, C., & Ghio, M. (2022). When a sunny day gives you butterflies: an electrophysiological investigation of concreteness and context effects in semantic word processing. PsyArXiv. March 8. DOI: 10.31234/osf.io/udqwx
  20. Bechtold, L., Bellebaum, C., Hoffman, P., & Ghio, M. (2021). Corroborating behavioral evidence for the interplay of representational richness and semantic control in semantic word processing. Sci Rep, 11(1), 6184. DOI: 10.1038/s41598-021-85711-7
  21. Bechtold, L., Ghio, M., Lange, J., & Bellebaum, C. (2018). Event-related desynchronization of mu and beta oscillations during the processing of novel tool names. Brain and Language, 177–178, 4455. DOI: 10.1016/j.bandl.2018.01.004
  22. Bedny, M., Caramazza, A., Pascual-Leone, A., & Saxe, R. (2012). Typical neural representations of action verbs develop without vision. Cerebral cortex, 22(2), 286293. DOI: 10.1093/cercor/bhr081
  23. Bentin, S., Kutas, M., & Hillyard, S. A. (1993). Electrophysiological evidence for task effects on semantic priming in auditory word processing. Psychophysiology, 30(2), 161169. DOI: 10.1111/j.1469-8986.1993.tb01729.x
  24. Bergelson, E., & Aslin, R. N. (2017). Nature and origins of the lexicon in 6-mo-olds. Proceedings of the National Academy of Sciences of the United States of America, 114(49), 1291612921. DOI: 10.1073/pnas.1712966114
  25. Bergelson, E., & Swingley, D. (2012). At 6-9 months, human infants know the meanings of many common nouns. Proceedings of the National Academy of Sciences of the United States of America, 109(9), 32533258. DOI: 10.1073/pnas.1113380109
  26. Bettinsoli, M. L., Suitner, C., & Maass, A. (2021). Take a Walk on the Cultural Side: A Journey into Embodied Social Cognition. In M. D. Robinson & L. E. Thomas (Eds.), Handbook of Embodied Psychology: Thinking, Feeling, and Acting (pp. 423450). Springer International Publishing. DOI: 10.1007/978-3-030-78471-3_19
  27. Bi, Y. (2021). Dual coding of knowledge in the human brain. Trends in Cognitive Sciences, 25(10), 883895. DOI: 10.1016/j.tics.2021.07.006
  28. Bidet-Ildei, C., Beauprez, S.-A., & Badets, A. (2020). A review of literature on the link between action observation and action language: advancing a shared semantic theory. New Ideas in Psychology, 58, 100777. DOI: 10.1016/j.newideapsych.2019.100777
  29. Bigelow, J., & Poremba, A. (2014). Achilles’ ear? Inferior human short-term and recognition memory in the auditory modality. PLoS ONE, 9(2), e89914. DOI: 10.1371/journal.pone.0089914
  30. Binder, J. R., Conant, L. L., Humphries, C. J., Fernandino, L., Simons, S. B., Aguilar, M., & Desai, R. H. (2016). Toward a brain-based componential semantic representation. Cognitive neuropsychology, 33(3–4), 130174. DOI: 10.1080/02643294.2016.1147426
  31. Binder, J. R., Westbury, C. F., 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), 905917. DOI: 10.1162/0898929054021102
  32. Bleasdale, F. A. (1987). Concreteness-dependent associative priming: Separate lexical organization for concrete and abstract words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(4), 582. DOI: 10.1037/0278-7393.13.4.582
  33. Bohil, C. J., Alicea, B., & Biocca, F. A. (2011). Virtual reality in neuroscience research and therapy. Nature Reviews Neuroscience, 12(12), 752762. DOI: 10.1038/nrn3122
  34. Bolognesi, M., & Steen, G. (2018). Editors’ introduction: abstract concepts: structure, processing, and modeling. Topics in cognitive science, 10(3), 490500. DOI: 10.1111/tops.12354
  35. Bonifazi, S., Tomaiuolo, F., Altoè, G., Ceravolo, M. G., Provinciali, L., & Marangolo, P. (2013). Action observation as a useful approach for enhancing recovery of verb production: New evidence from aphasia. European Journal of Physical and Rehabilitation Medicine, 49, 473481. DOI: 10.1037/bul0000089
  36. Borghi, A. M., Barca, L., Binkofski, F., Castelfranchi, C., Pezzulo, G., & Tummolini, L. (2019). Words as social tools: language, sociality, and inner grounding in abstract concepts. Physics of Life Review, 29, 12053. DOI: 10.1016/j.plrev.2018.12.001
  37. Borghi, A. M., Binkofski, F., Castelfranchi, C., Cimatti, F., Scorolli, C., & Tummolini, L. (2017). The challenge of abstract concepts. Psychological Bulletin, 143(3), 263292. DOI: 10.1037/bul0000089
  38. Borghi, A. M., & Binkofski, F. (2014). Words as social tools: An embodied view on abstract concepts. New York, USA: Springer, New York. DOI: 10.1007/978-1-4614-9539-0
  39. Borghi, A. M., & Zarcone, E. (2016). Grounding abstractness: abstract concepts and the activation of the mouth. Front. Psychol. 7, 1498. DOI: 10.3389/fpsyg.2016.01498
  40. Bottini, R., Ferraro, S., Nigri, A., Cuccarini, V., Bruzzone, M. G., & Collignon, O. (2020). Brain regions involved in conceptual retrieval in sighted and blind people. Journal of Cognitive Neuroscience, 32(6), 10091025. DOI: 10.1162/jocn_a_01538
  41. Boulenger, V., Hauk, O., & Pulvermüller, F. (2009). Grasping ideas with the motor system: Semantic somatotopy in idiom comprehension. Cerebral Cortex (New York, N.Y.: 1991), 19(8), 19051914. DOI: 10.1093/cercor/bhn217
  42. Boulenger, V., Shtyrov, Y., & Pulvermüller, F. (2012). When do you grasp the idea? Meg evidence for instantaneous idiom understanding. NeuroImage, 59(4), 35023513. DOI: 10.1016/j.neuroimage.2011.11.011
  43. Boutonnet, B., & Lupyan, G. (2015). Words jump-start vision: A label advantage in object recognition. Journal of Neuroscience, 35(25), 93299335. DOI: 10.1523/JNEUROSCI.5111-14.2015
  44. Brysbaert, M., Stevens, M., De Deyne, S., Voorspoels, W., & Storms, G. (2014). Norms of age of acquisition and concreteness for 30,000 Dutch words. Acta psychologica, 150, 8084. DOI: 10.1016/j.actpsy.2014.04.010
  45. Buccino, G., Riggio, L., Melli, G., Binkofski, F., Gallese, V., & Rizzolatti, G. (2005). Listening to action-related sentences modulates the activity of the motor system: A combined TMS and behavioral study. Brain Research. Cognitive Brain Research, 24(3), 355363. DOI: 10.1016/j.cogbrainres.2005.02.020
  46. Buchanan, E. M., Valentine, K. D., & Maxwell, N. P. (2019). English semantic feature production norms: An extended database of 4436 concepts. Behavior Research Methods, 51(4), 18491863. DOI: 10.3758/s13428-019-01243-z
  47. Caetano, G., Jousmäki, V., & Hari, R. (2007). Actor’s and observer’s primary motor cortices stabilize similarly after seen or heard motor actions. Proceedings of the National Academy of Sciences, 104(21), 90589062. DOI: 10.1073/pnas.0702453104
  48. Canolty, R. T., Soltani, M., Dalal, S. S., Edwards, E., Dronkers, N. F., Nagarajan, S. S., Kirsch, H. E., Barbaro, N. M., & Knight, R. T. (2007). Spatiotemporal dynamics of word processing in the human brain. Frontiers in Neuroscience, 1(1), 185196. DOI: 10.3389/neuro.01.1.1.014.2007
  49. Carota, F., Moseley, R., & Pulvermüller, F. (2012). Body-part-specific representations of semantic noun categories. J Cogn Neurosci, 24(6), 1492509. DOI: 10.1162/jocn_a_00219
  50. Carretié, L., Hinojosa, J. A., Mercado, F., & Tapia, M. (2005). Cortical response to subjectively unconscious danger. Neuroimage, 24(3), 615623. DOI: 10.1016/j.cub.2014.11.068
  51. Carrieri, M., Petracca, A., Lancia, S., Basso Moro, S., Brigadoi, S., Spezialetti, M., Ferrari, M., Placidi, G., & Quaresima, V. (2016). Prefrontal Cortex Activation Upon a Demanding Virtual Hand-Controlled Task: A New Frontier for Neuroergonomics. Frontiers in Human Neuroscience, 10(February), 113. DOI: 10.3389/fnhum.2016.00053
  52. Chedid, G., Brambati, S. M., Bedetti, C., Rey, A. E., Wilson, M. A., & Vallet, G. T. (2019). Visual and auditory perceptual strength norms for 3,596 French nouns and their relationship with other psycholinguistic variables. Behavior Research Methods (pp. 112). DOI: 10.3758/s13428-019-01254-w
  53. Chen, Q., Li, P., Xi, L., Li, F., Lei, Y., & Li, H. (2013). How do taxonomic versus thematic relations impact similarity and difference judgments? An ERP study. International Journal of Psychophysiology, 90(2), 135142. DOI: 10.1016/j.ijpsycho.2013.06.015
  54. Chen, I.-H., Zhao, Q., Long, Y., Lu, Q., & Huang, C.-R. (2019). Mandarin Chinese modality exclusivity norms. PLOS ONE, 14(2), e0211336. DOI: 10.1371/journal.pone.0211336
  55. Cohen, M. A., Evans, K. K., Horowitz, T. S., & Wolfe, J. M. (2011). Auditory and visual memory in musicians and nonmusicians. Psychonomic Bulletin and Review, 18(3), 586591. DOI: 10.3758/s13423-011-0074-0
  56. Cohen, M. A., Horowitz, T. S., & Wolfe, J. M. (2009). Auditory recognition memory is inferior to visual recognition memory. Proceedings of the National Academy of Sciences of the United States of America, 106(14), 60086010. DOI: 10.1073/pnas.0811884106
  57. Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407428. DOI: 10.1037/0033-295X.82.6.407
  58. Connell, L. (2019). What have labels ever done for us? The linguistic shortcut in conceptual processing. Language, Cognition and Neuroscience, 34(10), 13081318. DOI: 10.1080/23273798.2018.1471512
  59. Connell, L., Lynott, D., & Banks, B. (2018). Interoception: The forgotten modality in perceptual grounding of abstract and concrete concepts. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1752), 20170143. DOI: 10.1098/rstb.2017.0143
  60. Cosper, S. H. (2020). The Perceptual Basis of Meaning Acquisition: Auditory Associative Word Learning and the Effect of Object Modality on Word Learning in Infancy and Adulthood [Doctoral dissertation, Universität Osnabrück]. https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202011193766
  61. Cosper, S. H., Männel, C., & Mueller, J. L. (2020). In the absence of visual input: Electrophysiological evidence of infants’ mapping of labels onto auditory objects. Developmental Cognitive Neuroscience, 45, 100821. DOI: 10.1016/j.dcn.2020.100821
  62. Cosper, S. H., Männel, C., & Mueller, J. L. (2022). Mechanisms of associative word learning: Benefits from the visual modality and synchrony of labeled objects. Cortex, 152, 3652. DOI: 10.1016/j.cortex.2022.03.020
  63. Crutch, S. J., Connell, S., & Warrington, E. K. (2009). The different representational frameworks underpinning abstract and concrete knowledge: evidence from odd-one-out judgements. Q J Exp Psychol (Hove), 62(7), 13771388, 1388–1390. DOI: 10.1080/17470210802483834
  64. Crutch, S. J., & Jackson, E. C. (2011). Contrasting graded effects of semantic similarity and association across the concreteness spectrum. Q J Exp Psychol (Hove), 64(7), 13881408. DOI: 10.1080/17470218.2010.543285
  65. Crutch, S. J., & Warrington, E. K. (2005). Abstract and concrete concepts have structurally different representational frameworks. Brain, 128(3), 615627. DOI: 10.1093/brain/awh349
  66. Cummings, A., Čeponiene, R., Koyama, A., Saygin, A. P., Townsend, J., & Dick, F. (2006). Auditory semantic networks for words and natural sounds. Brain Research, 1115(1), 92107. DOI: 10.1016/j.brainres.2006.07.050
  67. Dalla Volta, R., Fabbri-Destro, M., Gentilucci, M., & Avanzini, P. (2014). Spatiotemporal dynamics during processing of abstract and concrete verbs: An ERP study. Neuropsychologia, 61, 163174. DOI: 10.1016/j.neuropsychologia.2014.06.019
  68. Damasio, H., Tranel, D., Grabowski, T., Adolphs, R., & Damasio, A. (2004). Neural systems behind word and concept retrieval. Cognition, 92(1–2), 179229. DOI: 10.1016/j.cognition.2002.07.001
  69. de Groot, A. M. (1989). Representational aspects of word imageability and word frequency as assessed through word association. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(5), 824. DOI: 10.1037/0278-7393.15.5.824
  70. De Mornay Davies, P., & Funnell, E. (2000). Semantic representation and ease of predication. Brain and Language, 73(1), 92119. DOI: 10.1006/brln.2000.2299
  71. De Nooijer, J. A., Van Gog, T., Paas, F., & Zwaan, R. A. (2013). Effects of imitating gestures during encoding or during retrieval of novel verbs on children’s test performance. Acta Psychologica, 144(1), 173179. DOI: 10.1016/j.actpsy.2013.05.013
  72. Dehaene, S., Bossini, S., & Giraux, P. (1993). The Mental Representation of Parity and Number Magnitude. Journal of Experimental Psychology: General, 122, 371396. DOI: 10.1037/0096-3445.122.3.371
  73. Delaney-Busch, N., Morgan, E., Lau, E., & Kuperberg, G. R. (2019). Neural evidence for Bayesian trial-by-trial adaptation on the N400 during semantic priming. Cognition, 187, 1020. DOI: 10.1016/j.cognition.2019.01.001
  74. Dhond, R. P., Witzel, T., Dale, A. M., & Halgren, E. (2007). Spatiotemporal cortical dynamics underlying abstract and concrete word reading. Human Brain Mapping, 28(4), 355362. DOI: 10.1002/hbm.20282
  75. Dove, G., Barca, L., Tummolini, L., & Borghi, A. M. (2020). Words have a weight: Language as a source of inner grounding and flexibility in abstract concepts. Psychological Research (pp. 117). DOI: 10.1007/s00426-020-01438-6
  76. Doyle, L. M. F., Yarrow, K., & Brown, P. (2005). Lateralization of event-related beta desynchronization in the EEG during pre-cued reaction time tasks. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 116(8), 18791888. DOI: 10.1016/j.clinph.2005.03.017
  77. Dreyer, F. R., & Pulvermüller, F. (2018). Abstract semantics in the motor system? An event-related fMRI study on passive reading of semantic word categories carrying abstract emotional and mental meaning. Cortex, 100, 5270. DOI: 10.1016/j.cortex.2017.10.021
  78. Dunabeitia, J. A., Aviles, A., Afonso, O., Scheepers, C., & Carreiras, M. (2009). Qualitative differences in the representation of abstract versus concrete words: evidence from the visual-world paradigm. Cognition, 110(2), 284292. DOI: 10.1016/j.cognition.2008.11.012
  79. Edmiston, P., & Lupyan, G. (2017). Visual interference disrupts visual knowledge. Journal of Memory and Language, 92, 281292. DOI: 10.1016/j.jml.2016.07.002
  80. Emberson, L. L., Misyak, J. B., Schwade, J. A., Christiansen, M. H., & Goldstein, M. H. (2019). Comparing statistical learning across perceptual modalities in infancy: An investigation of underlying learning mechanism(s). Developmental Science, 22(6). DOI: 10.1111/desc.12847
  81. Engelkamp, J. (2001). Action memory: a system- oriented approach. In H. D. Zimmer, R. L. Cohen, M. J. Guynn, R. Kormi-Nouri & M. A. Foley (Eds.), Memory for Action: A Distinct form of Episodic Memory? (pp. 4696). Oxford University Press.
  82. Engelkamp, J., & Zimmer, H. D. (1985). Motor programs and their relation to semantic memory. German Journal of Psychology, 9(3), 239254. DOI: 10.1007/BF00308889
  83. Epstein, R., & Kanwisher, N. (1998). A cortical representation of the local visual environment. Nature, 392(6676), 598601. DOI: 10.1038/33402
  84. Fargier, R., Paulignan, Y., Boulenger, V., Monaghan, P., Reboul, A., & Nazir, T. A. (2012). Learning to associate novel words with motor actions: Language-induced motor activity following short training. Cortex, 48(7), 888899. DOI: 10.1016/j.cortex.2011.07.003
  85. Fernandino, L., Tong, J. Q., Conant, L. L., Humphries, C. J., & Binder, J. R. (2022). Decoding the information structure underlying the neural representation of concepts. Proceedings of the National Academy of Sciences of the United States of America, 119(6), e2108091119. DOI: 10.1073/pnas.2108091119
  86. Ferre, P., Guasch, M., Garcia-Chico, T., & Sanchez-Casas, R. (2015). Are there qualitative differences in the representation of abstract and concrete words? Within-language and cross-language evidence from the semantic priming paradigm. Q J Exp Psychol (Hove), 68(12), 24022418. DOI: 10.1080/17470218.2015.1016980
  87. Fischer, M. H., & Zwaan, R. A. (2008). Embodied language: a review of the role of the motor system in language comprehension. The Quarterly Journal of Experimental Psychology, 61(6), 825850. DOI: 10.1080/17470210701623605
  88. Fodor, J. A. (1985). Precis of the Modularity of Mind. Behavioral and Brain Sciences, 8(1), 142. DOI: 10.1017/S0140525X0001921X
  89. Frade, S., Pinheiro, A. P., Santi, A., & Raposo, A. (2022). Is second best good enough? An EEG study on the effects of word expectancy in sentence comprehension. Language, Cognition and Neuroscience, 37(2), 209223. DOI: 10.1080/23273798.2021.1955140
  90. Friedrich, M., & Friederici, A. D. (2008). Neurophysiological correlates of online word learning in 14-month-old infants. Neuroreport, 19(18), 17571761. DOI: 10.1097/WNR.0b013e328318f014
  91. Friedrich, M., & Friederici, A. D. (2011). Word learning in 6-month-olds: Fast encoding–weak retention. Journal of Cognitive Neuroscience, 23(11), 32283240. DOI: 10.1162/jocn_a_00002
  92. Galbraith, R. C., & Underwood, B. J. (1973). Perceived frequency of concrete and abstract words. Memory & Cognition, 1(1), 5660. DOI: 10.3758/BF03198068
  93. Garcia, A. M., & Ibanez, A. (2016). A touch with words: Dynamic synergies between manual actions and language. Neuroscience and Biobehavioral Reviews, 68, 5995. DOI: 10.1016/j.neubiorev.2016.04.022
  94. García, A. M., Hesse, E., Birba, A., Adolfi, F., Mikulan, E., Caro, M. M., … & Ibáñez, A. (2020). Time to face language: embodied mechanisms underpin the inception of face-related meanings in the human brain. Cerebral Cortex, 30(11), 60516068. DOI: 10.1093/cercor/bhaa178
  95. Ge, S., Liu, H., Lin, P., Gao, J., Xiao, C., & Li, Z. (2018). Neural Basis of Action Observation and Understanding From First- and Third-Person Perspectives: An fMRI Study. Frontiers in Behavioral Neuroscience, 12, 283. DOI: 10.3389/fnbeh.2018.00283
  96. Geng, J., & Schnur, T. T. (2015). The representation of concrete and abstract concepts: categorical versus associative relationships. J Exp Psychol Learn Mem Cogn, 41(1), 2241. DOI: 10.1037/a0037430
  97. Gevers, W., Reynvoet, B., & Fias, W. (2003). The mental representation of ordinal sequences is spatially organized. Cognition, 87, B87B95. DOI: 10.1016/S0010-0277(02)00234-2
  98. Gevers, W., Reynvoet, B., & Fias, W. (2004). The mental representation of ordinal sequences is spatially organized: evidence from days of the week. Cortex; a journal devoted to the study of the nervous system and behavior, 40(1), 171172. DOI: 10.1016/S0010-9452(08)70938-9
  99. Gianelli, C., & Dalla Volta, R. (2014). Does listening to action-related sentences modulate the activity of the motor system? Replication of a combined TMS and behavioral study. Frontiers in Psychology, 5, 1511. DOI: 10.3389/fpsyg.2014.01511
  100. Giari, G., Leonardelli, E., Tao, Y., Machado, M., & Fairhall, S. L. (2020). Spatiotemporal properties of the neural representation of conceptual content for words and pictures–an MEG study. Neuroimage, 219, 116913. DOI: 10.1016/j.neuroimage.2020.116913
  101. Glenberg, A. M., & Kaschak, M. P. (2002). Grounding language in action. Psychon Bull Rev, 9(3), 558565. DOI: 10.3758/BF03196313
  102. Gloede, M. E., & Gregg, M. K. (2019). The fidelity of visual and auditory memory. Psychonomic Bulletin and Review, 26(4), 13251332. DOI: 10.3758/s13423-019-01597-7
  103. Gough, P. M., Campione, G. C., & Buccino, G. (2013). Fine tuned modulation of the motor system by adjectives expressing positive and negative properties. Brain Lang, 125(1): 549. DOI: 10.1016/j.bandl.2013.01.012
  104. Grieder, M., Crinelli, R. M., Koenig, T., Wahlund, L. O., Dierks, T., & Wirth, M. (2012). Electrophysiological and behavioral correlates of stable automatic semantic retrieval in aging. Neuropsychologia, 50(1), 160171. DOI: 10.1016/j.neuropsychologia.2011.11.014
  105. Grisoni, L., Dreyer, F. R., & Pulvermuller, F. (2016). Somatotopic Semantic Priming and Prediction in the Motor System. Cerebral Cortex (New York, N.Y.: 1991), 26(5), 23532366. DOI: 10.1093/cercor/bhw026
  106. Gullick, M. M., Mitra, P., & Coch, D. (2013). Imagining the truth and the moon: An electrophysiological study of abstract and concrete word processing. Psychophysiology, 50(5), 431440. DOI: 10.1111/psyp.12033
  107. Harpaintner, M., Trumpp, N. M., & Kiefer, M. (2020). Time course of brain activity during the processing of motor-and vision-related abstract concepts: flexibility and task dependency. Psychological Research, 123. DOI: 10.1007/s00426-020-01374-5
  108. Hauk, O., Johnsrude, I., & Pulvermüller, F. (2004). Somatotopic representation of action words in human motor and premotor cortex. Neuron, 41(2), 301307. DOI: 10.1016/S0896-6273(03)00838-9
  109. Hauk, O., & Pulvermüller, F. (2004). Neurophysiological distinction of action words in the fronto-central cortex. Human Brain Mapping, 21(3), 191201. DOI: 10.1002/hbm.10157
  110. Hill, F., Kiela, D., & Korhonen, A. (2013). Concreteness and corpora: A theoretical and practical analysis. In Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL) (pp. 7583).
  111. Hill, F., Korhonen, A., & Bentz, C. (2014). A quantitative empirical analysis of the abstract/concrete distinction. Cogn Sci, 38(1), 162177. DOI: 10.1111/cogs.12076
  112. Hirschfeld, G., Zwitserlood, P., & Dobel, C. (2011). Effects of language comprehension on visual processing–MEG dissociates early perceptual and late N400 effects. Brain and Language, 116(2), 9196. DOI: 10.1016/j.bandl.2010.07.002
  113. Hobson, H. M., & Bishop, D. V. (2016). Mu suppression–a good measure of the human mirror neuron system? Cortex, 82, 290310. DOI: 10.1016/j.cortex.2016.03.019
  114. Hoffman, P., Lambon Ralph, M. A., & Rogers, T. T. (2013). Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words. Behavior research methods, 45(3), 718730. DOI: 10.3758/s13428-012-0278-x
  115. Hoffman, P., McClelland, J. L., & Lambon Ralph, M. A. (2018). Concepts, control, and context: A connectionist account of normal and disordered semantic cognition. Psychol Rev, 125(3), 293328. DOI: 10.1037/rev0000094
  116. Holcomb, P. J. (1988). Automatic and attentional processing: An event-related brain potential analysis of semantic priming. Brain and Language, 35(1), 6685. DOI: 10.1016/0093-934X(88)90101-0
  117. Holcomb, P. J., Kounios, J., Anderson, J. E., & West, W. C. (1999). Dual-coding, context-availability, and concreteness effects in sentence comprehension: an electrophysiological investigation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(3), 721. DOI: 10.1037/0278-7393.25.3.721
  118. Holmes, K. J., & Lourenco, S. F. (2013). When numbers get heavy: is the mental number line exclusively numerical? PLoS One, 8, e58381. DOI: 10.1371/journal.pone.0058381
  119. Holper, L., Muehlemann, T., Scholkmann, F., Eng, K., Kiper, D., & Wolf, M. (2010). Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS). Journal of Neuroengineering and Rehabilitation, 7(1), 57. DOI: 10.1186/1743-0003-7-57
  120. Horst, J. S., & Samuelson, L. K. (2008). Fast Mapping but Poor Retention by 24-Month-Old Infants. Infancy, 13(2), 128157. DOI: 10.1080/15250000701795598
  121. Huang, H. W., & Federmeier, K. D. (2015). Imaginative language: What event-related potentials have revealed about the nature and source of concreteness effects. Language and linguistics, 16(4), 503515. DOI: 10.1177/1606822X15583233
  122. Huang, H. W., Lee, C. L., & Federmeier, K. D. (2010). Imagine that! ERPs provide evidence for distinct hemispheric contributions to the processing of concrete and abstract concepts. NeuroImage, 49(1), 11161123. DOI: 10.1016/j.neuroimage.2009.07.031
  123. Ibáñez, A., Kühne, K., Miklashevsky, A., Monaco, E., Muraki, E., Ranzini, M., … Tuena, C. (2022). The importance of considering individual differences and context to understand embodied language processes. Journal of Cognition.
  124. Ishihara, M., Keller, P. E., Rossetti, Y., & Prinz, W. (2008). Horizontal spatial representations of time: Evidence for the STEARC effect. Cortex, 44, 454461. DOI: 10.1016/j.cortex.2007.08.010
  125. Jack, B. N., Le Pelley, M. E., Griffiths, O., Luque, D., & Whitford, T. J. (2019). Semantic prediction-errors are context-dependent: An ERP study. Brain Res, 1706, 8692. DOI: 10.1016/j.brainres.2018.10.034
  126. James, K. H., & Bose, P. (2011). Self-generated actions during learning objects and sounds create sensori-motor systems in the developing brain. Cognition, Brain, Behavior: An Interdisciplinary Journal, 15(4), 485. DOI: 10.1111/j.1467-7687.2010.01011.x
  127. James, K. H., & Swain, S. N. (2011). Only self-generated actions create sensori-motor systems in the developing brain. Developmental Science, 14(4), 673678. DOI: 10.1111/j.1467-7687.2010.01011.x
  128. Jensen, O., & Tesche, C. D. (2002). Frontal theta activity in humans increases with memory load in a working memory task. European Journal of Neuroscience, 15(8), 13951399. DOI: 10.1046/j.1460-9568.2002.01975.x
  129. Johnson-Glenberg, M. C. (2017). Embodied Education in Mixed and Mediated Realties. In D. Liu, C. Dede, R. Huang & J. Richards (Eds.), Virtual, Augmented, and Mixed Realities in Education (pp. 193217). Springer. DOI: 10.1007/978-981-10-5490-7_11
  130. Johnson-Glenberg, M. C. (2018). Immersive VR and Education: Embodied Design Principles That Include Gesture and Hand Controls. Frontiers in Robotics and AI, 5. DOI: 10.3389/frobt.2018.00081
  131. Johnson-Glenberg, M. C., & Megowan-Romanowicz, C. (2017). Embodied science and mixed reality: How gesture and motion capture affect physics education. Cognitive Research: Principles and Implications, 2(1), 24. DOI: 10.1186/s41235-017-0060-9
  132. Johnson-Glenberg, M. C., Megowan-Romanowicz, C., Birchfield, D. A., & Savio-Ramos, C. (2016). Effects of Embodied Learning and Digital Platform on the Retention of Physics Content: Centripetal Force. Frontiers in Psychology, 7. DOI: 10.3389/fpsyg.2016.01819
  133. Junge, C., Boumeester, M., Mills, D. L., Paul, M., & Cosper, S. H. (2021). Development of the N400 for Word Learning in the First 2 Years of Life: A Systematic Review. Frontiers in Psychology, 12, 689534. DOI: 10.3389/fpsyg.2021.689534
  134. Junge, C., Cutler, A., & Hagoort, P. (2012). Electrophysiological evidence of early word learning. Neuropsychologia, 50(14), 37023712. DOI: 10.1016/j.neuropsychologia.2012.10.012
  135. Kanske, P., & Kotz, S. A. (2007). Concreteness in emotional words: ERP evidence from a hemifield study. Brain research, 1148, 138148. DOI: 10.1016/j.brainres.2007.02.044
  136. Kellenbach, M. L., Wijers, A. A., & Mulder, G. (2000). Visual semantic features are activated during the processing of concrete words: event-related potential evidence for perceptual semantic priming. Brain Res Cogn Brain Res, 10(1–2), 6775. https://www.ncbi.nlm.nih.gov/pubmed/10978693. DOI: 10.1016/S0926-6410(00)00023-9
  137. Kellmeyer, P. (2017). Ethical and Legal Implications of the Methodological Crisis in Neuroimaging. Camb Q Healthc Ethics, 26(4), 530554. DOI: 10.1017/S096318011700007X
  138. Kemmerer, D., Castillo, J. G., Talavage, T., Patterson, S., & Wiley, C. (2008). Neuroanatomical distribution of five semantic components of verbs: Evidence from fMRI. Brain and Language, 107(1), 1643. DOI: 10.1016/j.bandl.2007.09.003
  139. Khateb, A., Michel, C. M., Pegna, A. J., O’Dochartaigh, S. D., Landis, T., & Annoni, J. M. (2003). Processing of semantic categorical and associative relations: an ERP mapping study. Int J Psychophysiol, 49(1), 4155. DOI: 10.1016/S0167-8760(03)00076-X
  140. Kiefer, M. (2002). The N400 is modulated by unconsciously perceived masked words: further evidence for an automatic spreading activation account of N400 priming effects. Cognitive Brain Research, 13(1), 2739. DOI: 10.1016/S0926-6410(01)00085-4
  141. Kiefer, M., & Harpaintner, M. (2020). Varieties of abstract concepts and their grounding in perception or action. Open Psychology, 2(1), 119137. DOI: 10.1515/psych-2020-0104
  142. Kiefer, M., Sim, E.-J., Herrnberger, B., Grothe, J., & Hoenig, K. (2008). The sound of concepts: Four markers for a link between auditory and conceptual brain systems. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 28(47), 1222412230. DOI: 10.1523/JNEUROSCI.3579-08.2008
  143. Klepp, A., Niccolai, V., Sieksmeyer, J., Arnzen, S., Indefrey, P., Schnitzler, A., & Biermann-Ruben, K. (2017). Body-part specific interactions of action verb processing with motor behaviour. Behav Brain Res, 328, 149158. DOI: 10.1016/j.bbr.2017.04.002
  144. Klepp, A., Weissler, H., Niccolai, V., Terhalle, A., Geisler, H., Schnitzler, A., & Biermann-Ruben, K. (2014). Neuromagnetic hand and foot motor sources recruited during action verb processing. Brain and Language, 128(1), 4152. DOI: 10.1016/j.bandl.2013.12.001
  145. Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in cognitive sciences, 16(12), 606617. DOI: 10.1016/j.tics.2012.10.007
  146. Koelewijn, T., van Schie, H. T., Bekkering, H., Oostenveld, R., & Jensen, O. (2008). Motor-cortical beta oscillations are modulated by correctness of observed action. NeuroImage, 40(2), 767775. DOI: 10.1016/j.neuroimage.2007.12.018
  147. Koelsch, S., Kasper, E., Sammler, D., Schulze, K., Gunter, T., & Friederici, A. D. (2004). Music, language and meaning: Brain signatures of semantic processing. Nature Neuroscience, 7(3), 302307. DOI: 10.1038/nn1197
  148. Kontra, C., Lyons, D. J., Fischer, S. M., & Beilock, S. L. (2015). Physical Experience Enhances Science Learning. Psychological Science. DOI: 10.1177/0956797615569355
  149. Körner, A., Castillo, M., Drijvers, L., Fischer, M. H., Günther, F., Marelli, M., … Glenberg, A. M. (under revision). Examining the Body in Language: Behavioral Methods at Six Linguistic Granularity Levels. Journal of Cognition.
  150. 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), 1434. DOI: 10.1037/a0021446
  151. Kroll, J. F., & Merves, J. S. (1986). Lexical access for concrete and abstract words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12(1), 92. DOI: 10.1037/0278-7393.12.1.92
  152. Kurmakaeva, D., Blagovechtchenski, E., Gnedykh, D., Mkrtychian, N., Kostromina, S., & Shtyrov, Y. (2021). Acquisition of concrete and abstract words is modulated by tDCS of Wernicke’s area. Scientific reports, 11(1), 112. DOI: 10.1038/s41598-020-79967-8
  153. Kutas, M., & Federmeier, K. D. (2000). Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Sciences, 4(12), 463470. DOI: 10.1016/S1364-6613(00)01560-6
  154. Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 62(1), 621647. DOI: 10.1146/annurev.psych.093008.131123
  155. Lachmair, M., Dudschig, C., de la Vega, I., & Kaup, B. (2014a). Relating numeric cognition and language processing: do numbers and words share a common representational platform? Acta Psychol., 148, 107114. DOI: 10.1016/j.actpsy.2013.12.004
  156. Lachmair, M., Dudschig, C., Ruiz Fernández, S., & Kaup, B. (2014b). Numbers affect the processing of verbs denoting movements in vertical space. Cogn. Process. 15, S115S117. DOI: 10.1016/j.actpsy.2013.12.004
  157. Lakoff, G., & Johnson, M. (1980). Metaphors we live by. Chicago, IL: University of Chicago Press.
  158. Lambon Ralph, M. A., Jefferies, E., Patterson, K., & Rogers, T. T. (2017). The neural and computational bases of semantic cognition. Nat Rev Neurosci, 18(1), 4255. DOI: 10.1038/nrn.2016.150
  159. Lambon Ralph, M. A., Sage, K., Jones, R. W., & Mayberry, E. J. (2010). Coherent concepts are computed in the anterior temporal lobes. Proceedings of the National Academy of Sciences, 107(6), 27172722. DOI: 10.1073/pnas.0907307107
  160. Landau, A. N., Aziz-Zadeh, L., & Ivry, R. B. (2010). The influence of language on perception: listening to sentences about faces affects the perception of faces. Journal of Neuroscience, 30(45), 1525415261. DOI: 10.1523/JNEUROSCI.2046-10.2010
  161. Lau, E. F., Phillips, C., & Poeppel, D. (2008). A cortical network for semantics: (De)constructing the N400. Nature Reviews Neuroscience, 9(12), 920933. DOI: 10.1038/nrn2532
  162. Lau, E. F., Weber, K., Gramfort, A., Hamalainen, M. S., & Kuperberg, G. R. (2016). Spatiotemporal Signatures of Lexical-Semantic Prediction. Cereb Cortex, 26(4), 13771387. DOI: 10.1093/cercor/bhu219
  163. Laws, K. R. (2016). Psychology, replication & beyond. BMC Psychol, 4(1), 30. DOI: 10.1186/s40359-016-0135-2
  164. Lee, C. L., & Federmeier, K. D. (2008). To watch, to see, and to differ: An event-related potential study of concreteness effects as a function of word class and lexical ambiguity. Brain and Language, 104(2), 145158. DOI: 10.1016/j.bandl.2007.06.002
  165. Legault, J., Fang, S.-Y., Lan, Y.-J., & Li, P. (2019). Structural brain changes as a function of second language vocabulary training: Effects of learning context. Brain and Cognition, 134, 90102. DOI: 10.1016/j.bandc.2018.09.004
  166. Lenci, A., Lebani, G. E., & Passaro, L. C. (2018). The emotions of abstract words: A distributional semantic analysis. Topics in cognitive science, 10(3), 550572. DOI: 10.1111/tops.12335
  167. Li, P., Legault, J., Klippel, A., & Zhao, J. (2020). Virtual reality for student learning: Understanding individual differences. Human Behaviour and Brain, 1(1), 2836. DOI: 10.37716/HBAB.2020010105
  168. Lidji, P., Kolinsky, R., Lochy, A., & Morais, J. (2007). Spatial associations for musical stimuli: A piano in the head? Journal of Experimental Psychology: Human Perception and Performance, 33(5), 11891207. DOI: 10.1037/0096-1523.33.5.1189
  169. Lindemann, O., Abolafia, J. M., Girardi, G., & Bekkering, H. (2007). Getting a grip on numbers: numerical magnitude priming in object grasping. J. Exp. Psychol., 33, 1400. DOI: 10.1037/0096-1523.33.6.1400
  170. Lo Gerfo, E., Oliveri, M., Torriero, S., Salerno, S., Koch, G., & Caltagirone, C. (2008). The influence of rTMS over prefrontal and motor areas in a morphological task: Grammatical vs. Semantic effects. Neuropsychologia, 46(2), 764770. DOI: 10.1016/j.neuropsychologia.2007.10.012
  171. Loetscher, T., Bockisch, C., Nicholls, M. E. R., & Brugger, P. (2010). Eye position predicts what number you have in mind. Curr. Biol., 20, R264R265. DOI: 10.1016/j.cub.2010.01.015
  172. Louwerse, M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3, 273302. DOI: 10.1111/j.1756-8765.2010.01106.x
  173. Lawrence, S. J., van Mourik, T., Kok, P., Koopmans, P. J., Norris, D. G., & de Lange, F. P. (2018). Laminar organization of working memory signals in human visual cortex. Current Biology, 28(21), 34353440. DOI: 10.1016/j.cub.2018.08.043
  174. Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2020). The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, 52(3), 12711291. DOI: 10.3758/s13428-019-01316-z
  175. Macedonia, M. (2003). Sensorimotor enhancing of verbal memory through ‘Voice Movement Icons’ during encoding of foreign language: Vol. PhD. University of Salzburg.
  176. Macedonia, M., & Knösche, T. R. (2011). Body in Mind: How Gestures Empower Foreign Language Learning. Mind, Brain, and Education, 5(4), 196211. DOI: 10.1111/j.1751-228X.2011.01129.x
  177. Macedonia, M., & Mueller, K. (2016). Exploring the neural representation of novel words learned through enactment in a word recognition task. Frontiers in Psychology, 7(JUN), 114. DOI: 10.3389/fpsyg.2016.00953
  178. Macedonia, M., Muller, K., & Friederici, A. D. (2011). The impact of iconic gestures on foreign language word learning and its neural substrate. Human Brain Mapping, 32(6), 982998. DOI: 10.1002/hbm.21084
  179. Macedonia, M., Repetto, C., Ischebeck, A., & Mueller, K. (2019). Depth of encoding through observed gestures in foreign language word learning. Frontiers in Psychology, 10(JAN). DOI: 10.3389/fpsyg.2019.00033
  180. Maeda, F., Kleiner-Fisman, G., & Pascual-Leone, A. (2002). Motor facilitation while observing hand actions: specificity of the effect and role of observer’s orientation. Journal of Neurophysiology, 87(3), 13291335. DOI: 10.1152/jn.00773.2000
  181. Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. J. Physiol. Paris, 102, 5970. DOI: 10.1016/j.jphysparis.2008.03.004
  182. Majid, A., Roberts, S. G., Cilissen, L., Emmorey, K., Nicodemus, B., O’Grady, L., Woll, B., LeLan, B., de Sousa, H., Cansler, B. L., Shayan, S., de Vos, C., Senft, G., Enfield, N. J., Razak, R. A., Fedden, S., Tufvesson, S., Dingemanse, M., Ozturk, O., … Levinson, S. C. (2018). Differential coding of perception in the world’s languages. Proceedings of the National Academy of Sciences of the United States of America, 115(45), 1136911376. DOI: 10.1073/pnas.1720419115
  183. ManyBabies Consortium. (2020). Quantifying sources of variability in infancy research using the infant-directed-speech preference. Adv. Methods Prac. Psychol. Sci. 3, 2452. DOI: 10.1177/2515245919900809
  184. Mathias, B., Waibel, A., Hartwigsen, G., Sureth, L., Macedonia, M., Mayer, K. M., & Von Kriegstein, K. (2021). Motor Cortex Causally Contributes to Vocabulary Translation following Sensorimotor-Enriched Training. Journal of Neuroscience, 41(41), 86188631. DOI: 10.1523/JNEUROSCI.2249-20.2021
  185. Matsumoto, J., Fujiwara, T., Takahashi, O., Liu, M., Kimura, A., & Ushiba, J. (2010). Modulation of mu rhythm desynchronization during motor imagery by transcranial direct current stimulation. Journal of NeuroEngineering and Rehabilitation, 7(1), 15. DOI: 10.1186/1743-0003-7-27
  186. Mayer, K. M., Yildiz, I. B., Macedonia, M., & von Kriegstein, K. (2015). Visual and motor cortices differentially support the translation of foreign language words. Current Biology, 25(4), 530535. DOI: 10.1016/j.cub.2014.11.068
  187. McLaughlin, J., Osterhout, L., & Kim, A. (2004). Neural correlates of second-language word learning: minimal instruction produces rapid change. Nature Neuroscience, 7(7), 703704. DOI: 10.1038/nn1264
  188. Mechelli, A., Crinion, J., & Noppeney, U. (2004). Structural plasticity in the bilingual brain. Nature, 431, 757. DOI: 10.1038/431757a
  189. Meier, B. P., & Robinson, M. D. (2004). Why the sunny side is up: Associations between affect and vertical position. Psychological Science, 15, 243247. DOI: 10.1111/j.0956-7976.2004.00659.x
  190. Meyer, D. E., & Schvaneveldt, R. W. (1971). Facilitation in recognizing pairs of words: evidence of a dependence between retrieval operations. Journal of experimental psychology, 90(2), 227. DOI: 10.1037/h0031564
  191. Miklashevsky, A. (2018). Perceptual experience norms for 506 Russian nouns: Modality rating, spatial localization, manipulability, imageability and other variables. Journal of Psycholinguistic Research, 47(3), 641661. DOI: 10.1007/s10936-017-9548-1
  192. Miller, J., & Kaup, B. (2020). Influences of task and attention on action verb congruence effects: How automatic are embodiment effects? Acta Psychol (Amst), 210, 103155. DOI: 10.1016/j.actpsy.2020.103155
  193. Miller, L. M., & Roodenrys, S. (2009). The interaction of word frequency and concreteness in immediate serial recall. Memory & cognition, 37(6), 850865. DOI: 10.3758/MC.37.6.850
  194. Miller, T. M., Schmidt, T. T., Blankenburg, F., & Pulvermüller, F. (2018). Verbal labels facilitate tactile perception. Cognition, 171, 172179. DOI: 10.1016/j.cognition.2017.10.010
  195. Mirman, D., & Graziano, K. M. (2012). Individual differences in the strength of taxonomic versus thematic relations. J Exp Psychol Gen, 141(4), 601609. DOI: 10.1037/a0026451
  196. Mkrtychian, N., Gnedykh, D., Blagovechtchenski, E., Tsvetova, D., Kostromina, S., & Shtyrov, Y. (2021). Contextual acquisition of concrete and abstract words: behavioural and electrophysiological evidence. Brain Sciences, 11(7), 898. DOI: 10.3390/brainsci11070898
  197. Mo, J., Schroeder, C. E., & Ding, M. (2011). Attentional modulation of alpha oscillations in macaque inferotemporal cortex. Journal of Neuroscience, 31(3), 878882. DOI: 10.1523/JNEUROSCI.5295-10.2011
  198. Molinaro, N., Conrad, M., Barber, H. A., & Carreiras, M. (2010). On the functional nature of the N400: Contrasting effects related to visual word recognition and contextual semantic integration. Cognitive Neuroscience, 1, 17. DOI: 10.1080/17588920903373952
  199. Mollo, G., Pulvermuller, F., & Hauk, O. (2016). Movement priming of EEG/MEG brain responses for action-words characterizes the link between language and action. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 74, 262276. DOI: 10.1016/j.cortex.2015.10.021
  200. Monaco, E., Jost, L. B., Gygax, P. M., & Annoni, J. M. (2019). Embodied semantics in a second language: Critical review and clinical implications. Frontiers in Human Neuroscience, 13(March). DOI: 10.3389/fnhum.2019.00110
  201. Montefinese, M. (2019). Semantic representation of abstract and concrete words: A minireview of neural evidence. Journal of Neurophysiology, 121(5), 15851587. DOI: 10.1152/jn.00065.2019
  202. Montefinese, M., & Vinson, D. (2015). Can the humped animal’s knee conceal its name? Commentary on: “The roles of shared vs. distinctive conceptual features in lexical access”. Frontiers in Psychology, 6, 418. DOI: 10.3389/fpsyg.2015.00418
  203. Montefinese, M., Ambrosini, E., Fairfield, B., & Mammarella, N. (2013). Semantic memory: A feature-based analysis and new norms for Italian. Behavior Research Methods, 45(2), 440461. DOI: 10.3758/s13428-012-0263-4
  204. Montefinese, M., Ambrosini, E., Fairfield, B., & Mammarella, N. (2014). The adaptation of the affective norms for English words (ANEW) for Italian. Behavior research methods, 46(3), 887903. DOI: 10.3758/s13428-013-0405-3
  205. Montefinese, M., Ambrosini, E., Visalli, A., & Vinson, D. (2020). Catching the intangible: a role for emotion? Behavioral and Brain Sciences, 43, e138. DOI: 10.1017/S0140525X19002978
  206. Montefinese, M., Buchanan, E. M., & Vinson, D. (2018b). How well do similarity measures predict priming in abstract and concrete concepts? PsyArxiv. DOI: 10.31234/osf.io/ypvgw
  207. Montefinese, M., Ciavarro, M., & Ambrosini, E. (2015). What is the right place for atypical exemplars? Commentary: The right hemisphere contribution to semantic categorization: a TMS study. Frontiers in Psychology, 6, 1349. DOI: 10.3389/fpsyg.2015.01349
  208. Montefinese, M., Pinti, P., Ambrosini, E., Tachtsidis, I., & Vinson, D. (2021). Inferior parietal lobule is sensitive to different semantic similarity relations for concrete and abstract words. Psychophysiology, 58(3), e13750. DOI: 10.1111/psyp.13750
  209. Montefinese, M., Vinson, D., & Ambrosini, E. (2018a). Recognition memory and featural similarity between concepts: The pupil’s point of view. Biological psychology, 135, 159169. DOI: 10.1016/j.biopsycho.2018.04.004
  210. Montefinese, M., Zannino, G. D. & Ambrosini, E. (2015). Semantic similarity between old and new items produces false alarms in recognition memory. Psychological Research, 79, 785794. DOI: 10.1007/s00426-014-0615-z
  211. Moreno, I., Vega, M. de, Leon, I., Bastiaansen, M., Glen Lewis, A., & Magyari, L. (2015). Brain dynamics in the comprehension of action-related language. A time-frequency analysis of mu rhythms. NeuroImage, 109, 5062. DOI: 10.1016/j.neuroimage.2015.01.018
  212. Morey, R. D., Kaschak, M. P., Díez-Álamo, A. M., Glenberg, A. M., Zwaan, R. A., Lakens, D., Ibáñez, A., García, A., Gianelli, C., Jones, J. L., Madden, J., Alifano, F., Bergen, B., Bloxsom, N. G., Bub, D. N., Cai, Z. G., Chartier, C. R., Chatterjee, A., Conwell, E., … Ziv-Crispel, N. (2021). A pre-registered, multi-lab non-replication of the action-sentence compatibility effect (ACE). Psychonomic Bulletin and Review, 8, 114. DOI: 10.3758/S13423-021-01927-8/TABLES/4
  213. Morucci, P., Bottini, R., & Crepaldi, D. (2019). Augmented Modality Exclusivity Norms for Concrete and Abstract Italian Property Words. Journal of Cognition, 2(1), 114. DOI: 10.5334/joc.88
  214. Morucci, P., Giannelli, F., Richter, C., & Molinaro, N. (2021). Alpha and beta rhythms differentially support the effect of symbols on visual object recognition. bioRxiv. DOI: 10.1101/2021.06.07.447387
  215. Moseley, R., Carota, F., Hauk, O., Mohr, B., & Pulvermüller, F. (2012). A role for the motor system in binding abstract emotional meaning. Cerebral Cortex, 22(7), 16341647. DOI: 10.1093/cercor/bhr238
  216. Murphy, G. L., & Wisniewski, E. J. (1989). Categorizing objects in isolation and in scenes: What a superordinate is good for. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(4), 572. DOI: 10.1037/0278-7393.15.4.572
  217. Myachykov, A., & Fischer, M. H. (2019). A hierarchical view of abstractness: Grounded, embodied, and situated aspects. Comment on “Words as social tools: Language, sociality and inner grounding in abstract concepts” by Anna M. Borghi et al. Physics of Life Reviews, 29, 161163. DOI: 10.1016/j.plrev.2019.04.005
  218. Myachykov, A., Chapman, A. J., & Fischer, M. H. (2017). Cross-Representational Interactions: Interface and Overlap Mechanisms. Front. Psychol., 7, 2028. DOI: 10.3389/fpsyg.2016.02028
  219. Neely, J. H. (1991). Semantic priming effects in visual word recognition: A selective review of current findings and theories. In D. Besner & G. W. Humphreys (Eds.), Basic processes in reading: Visual word recognition (pp. 264336). Lawrence Erlbaum Associates, Inc.
  220. Niccolai, V., Klepp, A., Indefrey, P., Schnitzler, A., & Biermann-Ruben, K. (2017). Semantic discrimination impacts tDCS modulation of verb processing. Scientific Reports, 7(1), 17162. DOI: 10.1038/s41598-017-17326-w
  221. Niccolai, V., Klepp, A., Schnitzler, A., & Biermann-Ruben, K. (2021). Neurophysiological mechanisms of perspective-taking: An MEG investigation of agency. Social Neuroscience, 16(5), 584593. DOI: 10.1080/17470919.2021.1974546
  222. Niccolai, V., Klepp, A., van Dijk, H., Schnitzler, A., & Biermann-Ruben, K. (2020). Auditory cortex sensitivity to the loudness attribute of verbs. Brain and Language, 202, 104726. DOI: 10.1016/j.bandl.2019.104726
  223. Niccolai, V., Klepp, A., Weissler, H., Hoogenboom, N., Schnitzler, A., & Biermann-Ruben, K. (2014). Grasping hand verbs: Oscillatory beta and alpha correlates of action-word processing. PloS One, 9(9), e108059. DOI: 10.1371/journal.pone.0108059
  224. Nieuwland, M. S., Barr, D. J., Bartolozzi, F., Busch-Moreno, S., Darley, E., Donaldson, D. I., Ferguson, H. J., Fu, X., Heyselaar, E., Huettig, F., Matthew Husband, E., Ito, A., Kazanina, N., Kogan, V., Kohút, Z., Kulakova, E., Mézière, D., Politzer-Ahles, S., Rousselet, G., … Von Grebmer Zu Wolfsthurn, S. (2020). Dissociable effects of prediction and integration during language comprehension: evidence from a large-scale study using brain potentials. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1791), 20180522. DOI: 10.1098/rstb.2018.0522
  225. Noorman, S., Neville, D. A., & Simanova, I. (2018). Words affect visual perception by activating object shape representations. Scientific reports, 8(1), 110. DOI: 10.1038/s41598-018-32483-2
  226. Oliveri, M., Finocchiaro, C., Shapiro, K., Gangitano, M., Caramazza, A., & Pascual-Leone, A. (2004). All talk and no action: A transcranial magnetic stimulation study of motor cortex activation during action word production. Journal of Cognitive Neuroscience, 16(3), 374381. DOI: 10.1162/089892904322926719
  227. Ostarek, M., & Bottini, R. (2021). Towards strong inference in research on embodiment–Possibilities and limitations of causal paradigms. Journal of Cognition, 4(1). DOI: 10.5334/joc.139
  228. Ostarek, M., Joosen, D., Ishag, A., De Nijs, M., & Huettig, F. (2019). Are visual processes causally involved in “perceptual simulation” effects in the sentence-picture verification task? Cognition, 182, 8494. DOI: 10.1016/j.cognition.2018.08.017
  229. Paivio, A. (1990). Mental representations: A dual coding approach. New York, NY: Oxford University Press. DOI: 10.1093/acprof:oso/9780195066661.001.0001
  230. Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology/Revue canadienne de psychologie, 45(3), 255. DOI: 10.1037/h0084295
  231. Palva, S., & Palva, J. M. (2007). New vistas for α-frequency band oscillations. Trends in neurosciences, 30(4), 150158. DOI: 10.1016/j.tins.2007.02.001
  232. Papeo, L., Vallesi, A., Isaja, A., & Rumiati, R. I. (2009). Effects of TMS on different stages of motor and non-motor verb processing in the primary motor cortex. PloS One, 4(2), e4508. DOI: 10.1371/journal.pone.0004508
  233. Patterson, K., Nestor, P. J., & Rogers, T. T. (2007). Where do you know what you know? The representation of semantic knowledge in the human brain. Nature reviews neuroscience, 8(12), 976987. DOI: 10.1038/nrn2277
  234. Paul, M., Govaart, G. H., & Schettino, A. (2021). Making ERP research more transparent: guidelines for preregistration. Int. J. Psychophysiol, 164, 5263. DOI: 10.1016/j.ijpsycho.2021.02.016
  235. Pavlov, Y. G., Adamian, N., Appelhoff, S., Arvaneh, M., Benwell, C. S. Y., Beste, C., Bland, A. R., Bradford, D. E., Bublatzky, F., Busch, N. A., Clayson, P. E., Cruse, D., Czeszumski, A., Dreber, A., Dumas, G., Ehinger, B., Ganis, G., He, X., Hinojosa, J. A., … Mushtaq, F. (2021). #EEGManyLabs: Investigating the replicability of influential EEG experiments. Cortex, 144, 213229. DOI: 10.1016/j.cortex.2021.03.013
  236. Pecher, D. (2018). Curb your embodiment. Topics in Cognitive Science, 10(3), 501517. DOI: 10.1111/tops.12311
  237. Peeters, D. (2019). Virtual reality: A game-changing method for the language sciences. Psychonomic Bulletin & Review, 26(3), 894900. DOI: 10.3758/s13423-019-01571-3
  238. Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007). Neural correlates of concreteness in semantic categorization. Journal of Cognitive Neuroscience, 19(8), 14071419. DOI: 10.1162/jocn.2007.19.8.1407
  239. Pfurtscheller, G., & Lopes da Silva, F. H. (1999). Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 110(11), 18421857. DOI: 10.1016/S1388-2457(99)00141-8
  240. Postle, N., McMahon, K. L., Ashton, R., Meredith, M., & Zubicaray, G. I. de. (2008). Action word meaning representations in cytoarchitectonically defined primary and premotor cortices. NeuroImage, 43(3), 634644. DOI: 10.1016/j.neuroimage.2008.08.006
  241. Prpic, V., Soranzo, A., Santoro, I., Fantoni, C., Galmonte, A., Agostini, T., & Murgia, M. (2020). SNARC-like compatibility effects for physical and phenomenal magnitudes: a study on visual illusions. Psychological Research, 84, 950965. DOI: 10.1007/s00426-018-1125-1
  242. Pulvermüller, F. (1999). Words in the brain’s language. Behavioral and brain sciences, 22(2), 253279. DOI: 10.1017/S0140525X9900182X
  243. Pulvermüller, F. (2013). How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics. Trends in cognitive sciences, 17(9), 458470. DOI: 10.1016/j.tics.2013.06.004
  244. Pulvermuller, F., & Berthier, M. L. (2008). Aphasia therapy on a neuroscience basis. Aphasiology, 22(6), 563599. DOI: 10.1080/02687030701612213
  245. Pulvermüller, F., Hauk, O., Nikulin, V. V., & Ilmoniemi, R. J. (2005). Functional links between motor and language systems. The European Journal of Neuroscience, 21(3), 793797. DOI: 10.1111/j.1460-9568.2005.03900.x
  246. Recchia, G., & Jones, M. N. (2012). The semantic richness of abstract concepts. Frontiers in Human neuroscience, 6, 315. DOI: 10.3389/fnhum.2012.00315
  247. Repetto, C., Cipresso, P., & Riva, G. (2015). Virtual action and real action have different impacts on comprehension of concrete verbs. Frontiers in Psychology, 6, 176. DOI: 10.3389/fpsyg.2015.00176
  248. Repetto, C., Colombo, B., Cipresso, P., & Riva, G. (2013). The effects of rTMS over the primary motor cortex: the link between action and language. Neuropsychologia, 51(1), 813. DOI: 10.1016/j.neuropsychologia.2012.11.001
  249. Repetto, C., Colombo, B., & Riva, G. (2015). Is Motor Simulation Involved During Foreign Language Learning? A Virtual Reality Experiment. SAGE Open, 5(4), 110. DOI: 10.1177/2158244015609964
  250. Repetto, C., Mathias, B., Weichselbaum, O., & Macedonia, M. (2021). Visual recognition of words learned with gestures induces motor resonance in the forearm muscles. Scientific Reports, 11(1). DOI: 10.1038/s41598-021-96792-9
  251. Repetto, C., Pedroli, E., & Macedonia, M. (2017). Enrichment Effects of Gestures and Pictures on Abstract Words in a Second Language. Frontiers in Psychology, 8, 2136. DOI: 10.3389/fpsyg.2017.02136
  252. Romani, C., Mcalpine, S., & Martin, R. C. (2008). Concreteness effects in different tasks: Implications for models of short-term memory. Quarterly Journal of Experimental Psychology, 61(2), 292323. DOI: 10.1080/17470210601147747
  253. Rotaru, A. S., Vigliocco, G., & Frank, S. L. (2018). Modeling the structure and dynamics of semantic processing. Cognitive Science, 42(8), 28902917. DOI: 10.1111/cogs.12690
  254. Ruby, P., & Decety, J. (2003). What you believe versus what you think they believe: a neuroimaging study of conceptual perspective-taking. European Journal of Neuroscience, 17(11), 24752480. DOI: 10.1046/j.1460-9568.2003.02673.x
  255. Rüschemeyer, S.-A., Brass, M., & Friederici, A. D. (2007). Comprehending prehending: Neural correlates of processing verbs with motor stems. Journal of Cognitive Neuroscience, 19(5), 855865. DOI: 10.1162/jocn.2007.19.5.855
  256. Sabsevitz, D. S., Medler, D. A., Seidenberg, M., & Binder, J. R. (2005). Modulation of the semantic system by word imageability. NeuroImage, 27(1), 188200. DOI: 10.1016/j.neuroimage.2005.04.012
  257. Sachs, O., Weis, S., Krings, T., Huber, W., & Kircher, T. (2008). Categorical and thematic knowledge representation in the brain: neural correlates of taxonomic and thematic conceptual relations. Neuropsychologia, 46(2), 409418. DOI: 10.1016/j.neuropsychologia.2007.08.015
  258. Sachs, O., Weis, S., Zellagui, N., Huber, W., Zvyagintsev, M., Mathiak, K., & Kircher, T. (2008). Automatic processing of semantic relations in fMRI: Neural activation during semantic priming of taxonomic and thematic categories. Brain Res, 1218, 194205. DOI: 10.1016/j.brainres.2008.03.045
  259. Sachs, O., Weis, S., Zellagui, N., Sass, K., Huber, W., Zvyagintsev, M., … Kircher, T. (2011). How Different Types of Conceptual Relations Modulate Brain Activation during Semantic Priming. J Cogn Neurosci, 23(5), 12631273. DOI: 10.1162/jocn.2010.21483
  260. Sadoski, M., Kealy, W. A., Goetz, E. T., & Paivio, A. (1997). Concreteness and imagery effects in the written composition of definitions. Journal of Educational Psychology, 89(3), 518. DOI: 10.1037/0022-0663.89.3.518
  261. Saffran, J. R. (2002). Constraints on statistical language learning. Journal of Memory and Language, 47(1), 172196. DOI: 10.1006/jmla.2001.2839
  262. Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 19261928. DOI: 10.1126/science.274.5294.1926
  263. Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition, 70(1), 2752. DOI: 10.1016/S0010-0277(98)00075-4
  264. Samaha, J., Boutonnet, B., Postle, B. R., & Lupyan, G. (2018). Effects of meaningfulness on perception: Alpha-band oscillations carry perceptual expectations and influence early visual responses. Scientific Reports, 8(1), 114. DOI: 10.1038/s41598-018-25093-5
  265. Savic, O., Savic, A. M., & Kovic, V. (2017). Comparing the temporal dynamics of thematic and taxonomic processing using event-related potentials. PLoS One, 12(12), e0189362. DOI: 10.1371/journal.pone.0189362
  266. Schmidt, T. T., Miller, T. M., Blankenburg, F., & Pulvermüller, F. (2019). Neuronal correlates of label facilitated tactile perception. Scientific Reports, 9(1), 1606. DOI: 10.1038/s41598-018-37877-w
  267. Schöne, B., Köster, M., & Gruber, T. (2018). Coherence in general and personal semantic knowledge: functional differences of the posterior and centro-parietal N400 ERP component. Experimental Brain Research 2018 236:10, 236(10), 26492660. DOI: 10.1007/s00221-018-5324-1
  268. Schwanenflugel, P. J. (1991). Chapter 2 contextual constraint and lexical processing. Advances in Psychology, 77(C), 2345. DOI: 10.1016/S0166-4115(08)61528-9
  269. Schwanenflugel, P. J., & Shoben, E. J. (1983). Differential context effects in the comprehension of abstract and concrete verbal materials. Journal of Experimental Psychology: Learning, Memory, and Cognition, 9(1), 82. DOI: 10.1037/0278-7393.9.1.82
  270. Schwanenflugel, P. J., & Stowe, R. W. (1989). Context Availability and the Processing of Abstract and Concrete Words in Sentences. Reading Research Quarterly, 24(1), 114126. DOI: 10.2307/748013
  271. Schwanenflugel, P. J., Akin, C., & Luh, W. M. (1992). Context availability and the recall of abstract and concrete words. Memory & Cognition, 20(1), 96104. DOI: 10.3758/BF03208259
  272. Scorolli, C., Jacquet, P. O., Binkofski, F., Nicoletti, R., Tessari, A., & Borghi, A. M. (2012). Abstract and concrete phrases processing differentially modulates cortico-spinal excitability. Brain Research, 1488, 6071. DOI: 10.1016/j.brainres.2012.10.004
  273. Shtyrov, Y., Butorina, A., Nikolaeva, A., & Stroganova, T. (2014). Automatic ultrarapid activation and inhibition of cortical motor systems in spoken word comprehension. Proceedings of the National Academy of Sciences, 111(18), E1918E1923. DOI: 10.1073/pnas.1323158111
  274. Shtyrov, Y., Hauk, O., & Pulvermüller, F. (2004). Distributed neuronal networks for encoding category-specific semantic information: the mismatch negativity to action words. European Journal of Neuroscience, 19(4), 10831092. DOI: 10.1111/j.0953-816X.2004.03126.x
  275. Sieksmeyer, J., Klepp, A., Niccolai, V., Metzlaff, J., Schnitzler, A., & Biermann-Ruben, K. (2021). Influence of Manner Adverbs on Action Verb Processing. In S. Löbner, T. Gamerschlag, T. Kalenscher, M. Schrenk, & H. Zeevat (Eds.), Concepts, Frames and Cascades in Semantics, Cognition and Ontology (pp. 439461). Springer International Publishing. DOI: 10.1007/978-3-030-50200-3_20
  276. Skulmowski, A., & Rey, G. D. (2018). Embodied learning: Introducing a taxonomy based on bodily engagement and task integration. Cognitive Research: Principles and Implications, 3. DOI: 10.1186/s41235-018-0092-9
  277. Sloutsky, V. M., Yim, H., Yao, X., & Dennis, S. (2017). An associative account of the development of word learning. Cognitive Psychology, 97, 130. DOI: 10.1016/j.cogpsych.2017.06.001
  278. Smith, L. B., & Yu, C. (2008). Infants rapidly learn word-referent mappings via cross-situational statistics. Cognition, 106(3), 15581568. DOI: 10.1016/j.cognition.2007.06.010
  279. Snyder, A. C., & Foxe, J. J. (2010). Anticipatory attentional suppression of visual features indexed by oscillatory alpha-band power increases: a high-density electrical mapping study. Journal of Neuroscience, 30(11), 40244032. DOI: 10.1523/JNEUROSCI.5684-09.2010
  280. Soemer, A., & Saito, S. (2015). Maintenance of auditory-nonverbal information in working memory. Psychonomic Bulletin and Review, 22(6), 17771783. DOI: 10.3758/s13423-015-0854-z
  281. Šoškic, A., Jovanoviæ, V., Styles, S. J., Kappenman, E. S., & Kovic, V. (2021). How to do better N400 studies: reproducibility, consistency and adherence to research standards in the existing literature. Neuropsychology Review 2021, 1, 124. DOI: 10.1007/s11065-021-09513-4
  282. Speed, L. J., & Majid, A. (2017). Dutch modality exclusivity norms: Simulating perceptual modality in space. Behavior Research Methods, 49(6), 22042218. DOI: 10.3758/s13428-017-0852-3
  283. Spehlmann, R. (1965). The averaged electrical responses to diffuse and to patterned light in the human. Electroencephalography and clinical neurophysiology, 19(6), 560569. DOI: 10.1016/0013-4694(65)90241-5
  284. Spivey, M. J., & Huette, S. (2016). Toward a situated view of language. In P. Knoeferle, P. Pyykkönen-Klauck & M. W. Crocker (Eds.), Visually situated language comprehension (pp. 130). John Benjamins Publishing Company. DOI: 10.1075/aicr.93.01spi
  285. Steinhauer, K., Royle, P., Drury, J. E., & Fromont, L. A. (2017). The priming of priming: Evidence that the N400 reflects context-dependent post-retrieval word integration in working memory. Neurosci Lett, 651, 192197. DOI: 10.1016/j.neulet.2017.05.007
  286. Styles, S. J., Ković, V., Ke, H., & Šoškić, A. (2021). Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools. NeuroImage, 245, 118721. DOI: 10.1016/j.neuroimage.2021.118721
  287. Swaab, T. Y., Baynes, K., & Knight, R. T. (2002). Separable effects of priming and imageability on word processing: an ERP study. Cognitive Brain Research, 15(1), 99103. DOI: 10.1016/S0926-6410(02)00219-7
  288. Taxitari, L., Twomey, K. E., Westermann, G., & Mani, N. (2019). The Limits of Infants’ Early Word Learning. Language Learning and Development (pp. 121). DOI: 10.1080/15475441.2019.1670184
  289. Tecchio, F., Zappasodi, F., Porcaro, C., Barbati, G., Assenza, G., Salustri, C., & Rossini, P. M. (2008). High-gamma band activity of primary hand cortical areas: A sensorimotor feedback efficiency index. NeuroImage, 40(1), 256264. DOI: 10.1016/j.neuroimage.2007.11.038
  290. Tettamanti, M., Buccino, G., Saccuman, M. C., Gallese, V., Danna, M., Scifo, P., Fazio, F., Rizzolatti, G., Cappa, S. F., & Perani, D. (2005). Listening to action-related sentences activates fronto-parietal motor circuits. Journal of Cognitive Neuroscience, 17(2), 273281. DOI: 10.1162/0898929053124965
  291. Thiessen, E. D. (2010). Effects of visual information on adults’ and infants’ auditory statistical learning. Cognitive Science, 34(6), 10931106. DOI: 10.1111/j.1551-6709.2010.01118.x
  292. Tomasello, R., Garagnani, M., Wennekers, T., & Pulvermüller, F. (2017). Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex. Neuropsychologia, 98, 111129. DOI: 10.1016/j.neuropsychologia.2016.07.004
  293. Tomasino, B., Werner, C. J., Weiss, P. H., & Fink, G. R. (2007). Stimulus properties matter more than perspective: An fMRI study of mental imagery and silent reading of action phrases. NeuroImage, 36(2), 12841. DOI: 10.1016/j.neuroimage.2007.03.035
  294. Troche, J., Crutch, S., & Reilly, J. (2014). Clustering, hierarchical organization, and the topography of abstract and concrete nouns. Frontiers in psychology, 5, 360. DOI: 10.3389/fpsyg.2014.00360
  295. Tromp, J., Peeters, D., Meyer, A. S., & Hagoort, P. (2018). The combined use of virtual reality and EEG to study language processing in naturalistic environments. Behavior Research Methods, 50(2), 862869. DOI: 10.3758/s13428-017-0911-9
  296. Tschentscher, N., Hauk, O., Fischer, M. H., & Pulvermüller, F. (2012). You can count on the motor cortex: Finger counting habits modulate motor cortex activation evoked by numbers. Neuroimage, 59(4), 31393148. DOI: 10.1016/j.neuroimage.2011.11.037
  297. Tyler, L. K., Moss, H. E., Galpin, A., & Voice, J. K. (2002). Activating meaning in time: The role of imageability and form-class. Language and Cognitive Processes, 17(5), 471502. DOI: 10.1080/01690960143000290
  298. Uskul, A. K., Nisbett, R. E., & Kitayama, S. (2008). Ecoculture, social interdependence and holistic cognition: Evidence from farming, fishing and herding communities in Turkey. Commun Integr Biol, 1(1), 4041. DOI: 10.4161/cib.1.1.6649
  299. van Dam, W. O., van Dijk, M., Bekkering, H., & Rueschemeyer, S.-A. (2012). Flexibility in embodied lexical-semantic representations. Human Brain Mapping, 33(10), 23222333. DOI: 10.1002/hbm.21365
  300. van Elk, M., van Schie, H. T., Zwaan, R. A., & Bekkering, H. (2010). The functional role of motor activation in language processing: Motor cortical oscillations support lexical-semantic retrieval. NeuroImage, 50(2), 665677. DOI: 10.1016/j.neuroimage.2009.12.123
  301. Van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M. A., Poort, J., Van Der Togt, C., & Roelfsema, P. R. (2014). Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex. Proceedings of the National Academy of Sciences, 111(40), 1433214341. DOI: 10.1073/pnas.1402773111
  302. van Petten, C., & Rheinfelder, H. (1995). Conceptual relationships between spoken words and environmental sounds: Event-related brain potential measures. Neuropsychologia, 33(4), 485508. DOI: 10.1016/0028-3932(94)00133-A
  303. Venter, E. (2021). Toward an Embodied, Embedded Predictive Processing Account. Frontiers in Psychology, 12, 137. DOI: 10.3389/fpsyg.2021.543076
  304. Vergallito, A., Petilli, M. A., & Marelli, M. (2020). Perceptual modality norms for 1,121 Italian words: A comparison with concreteness and imageability scores and an analysis of their impact in word processing tasks. Behavior Research Methods (pp. 118). DOI: 10.3758/s13428-019-01337-8
  305. Vigliocco, G., Kousta, S., Vinson, D., Andrews, M., & Del Campo, E. (2013). The representation of abstract words: What matters? Reply to Paivio’s (2013) comment on Kousta et al. (2011). Journal of Experimental Psychology: General, 142(1), 288291. DOI: 10.1037/a0028749
  306. Visscher, K. M., Kaplan, E., Kahana, M. J., & Sekuler, R. (2007). Auditory Short-Term Memory Behaves Like Visual Short-Term Memory. PLoS Biology, 5(3), e56. DOI: 10.1371/journal.pbio.0050056
  307. Vukovic, N., & Shtyrov, Y. (2014). Cortical motor systems are involved in second-language comprehension: evidence from rapid mu-rhythm desynchronisation. NeuroImage, 102, 695703. DOI: 10.1016/j.neuroimage.2014.08.039
  308. Vukovic, N., & Shtyrov, Y. (2017). Cortical networks for reference-frame processing are shared by language and spatial navigation systems. NeuroImage, 161, 120133. DOI: 10.1016/j.neuroimage.2017.08.041
  309. Vukovic, N., & Shtyrov, Y. (2019). Learning with the wave of the hand: Kinematic and TMS evidence of primary motor cortex role in category-specific encoding of word meaning. NeuroImage, 202, 116179. DOI: 10.1016/j.neuroimage.2019.116179
  310. Vukovic, N., Feurra, M., Shpektor, A., Myachykov, A., & Shtyrov, Y. (2017). Primary motor cortex functionally contributes to language comprehension: An online rTMS study. Neuropsychologia, 96, 222229. DOI: 10.1016/j.neuropsychologia.2017.01.025
  311. Vukovic, N., Hansen, B., Lund, T. E., Jespersen, S., & Shtyrov, Y. (2021). Rapid microstructural plasticity in the cortical semantic network following a short language learning session. PLoS Biology, 19(6), e3001290. DOI: 10.1371/journal.pbio.3001290
  312. Wagner, J., Solis-Escalante, T., Scherer, R., Neuper, C., & Muller-Putz, G. (2014). It’s how you get there: walking down a virtual alley activates premotor and parietal areas. Front Hum Neurosci, 8, 93. DOI: 10.3389/fnhum.2014.00093
  313. Walsh, V. (2003). A theory of magnitude: common cortical metrics of time, space and quantity. Trends Cogn. Sci., 7, 483488. DOI: 10.1016/j.tics.2003.09.002
  314. Wamain, Y., Pluciennicka, E., & Kalénine, S. (2015). A saw is first identified as an object used on wood: ERP evidence for temporal differences between Thematic and Functional similarity relations. Neuropsychologia, 71, 2837. DOI: 10.1016/j.neuropsychologia.2015.02.034
  315. Wang, J., Conder, J. A., Blitzer, D. N., & Shinkareva, S. V. (2010). Neural representation of abstract and concrete concepts: A meta-analysis of neuroimaging studies. Human Brain Mapping, 31(10), 14591468. DOI: 10.1002/hbm.20950
  316. Wattenmaker, W. D., & Shoben, E. J. (1987). Context and the recallability of concrete and abstract sentences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(1), 140. DOI: 10.1037/0278-7393.13.1.140
  317. Weiss, P. H., Ubben, S. D., Kaesberg, S., Kalbe, E., Kessler, J., Liebig, T., & Fink, G. R. (2016). Where language meets meaningful action: A combined behavior and lesion analysis of aphasia and apraxia. Brain Structure & Function, 221(1), 563576. DOI: 10.1007/s00429-014-0925-3
  318. Welcome, S. E., Paivio, A., McRae, K., & Joanisse, M. F. (2011). An electrophysiological study of task demands on concreteness effects: evidence for dual coding theory. Experimental brain research, 212(3), 347358. DOI: 10.1007/s00221-011-2734-8
  319. Werker, J. F., Cohen, L. B., Lloyd, V. L., Casasola, M., & Stager, C. L. (1998). Acquisition of word–object associations by 14-month-old infants. Developmental Psychology, 34(6), 12891309. DOI: 10.1037/0012-1649.34.6.1289
  320. West, W. C., & Holcomb, P. J. (2000). Imaginal, semantic, and surface-level processing of concrete and abstract words: an electrophysiological investigation. Journal of Cognitive Neuroscience, 12(6), 10241037. DOI: 10.1162/08989290051137558
  321. Willems, R. M., & Hagoort, P. (2007). Neural evidence for the interplay between language, gesture, and action: a review. Brain and language, 101(3), 278289. DOI: 10.1016/j.bandl.2007.03.004
  322. Willems, R. M., Labruna, L., D’Esposito, M., Ivry, R., & Casasanto, D. (2011). A functional role for the motor system in language understanding: Evidence from theta-burst transcranial magnetic stimulation. Psychological Science, 22(7), 849854. DOI: 10.1177/0956797611412387
  323. Wilson-Mendenhall, C. D., Barrett, L. F., Simmons, W. K., & Barsalou, L. W. (2011). Grounding emotion in situated conceptualization. Neuropsychologia, 49(5), 11051127. DOI: 10.1016/j.neuropsychologia.2010.12.032
  324. Winter, B., Perlman, M., & Majid, A. (2018). Vision dominates in perceptual language: English sensory vocabulary is optimized for usage. Cognition, 179, 213220. DOI: 10.1016/j.cognition.2018.05.008
  325. Wirth, M., Horn, H., Koenig, T., Razafimandimby, A., Stein, M., Mueller, T., … Strik, W. (2008). The early context effect reflects activity in the temporo-prefrontal semantic system: evidence from electrical neuroimaging of abstract and concrete word reading. Neuroimage, 42(1), 423436. DOI: 10.1016/j.neuroimage.2008.03.045
  326. Worden, M. S., Foxe, J. J., Wang, N., & Simpson, G. V. (2000). Anticipatory biasing of visuospatial attention indexed by retinotopically specific α-bank electroencephalography increases over occipital cortex. Journal of Neuroscience, 20(6), RC63RC63. DOI: 10.1523/JNEUROSCI.20-06-j0002.2000
  327. Xiao, X., Zhao, D., Zhang, Q., & Guo, C. Y. (2012). Retrieval of concrete words involves more contextual information than abstract words: Multiple components for the concreteness effect. Brain and language, 120(3), 251258. DOI: 10.1016/j.bandl.2011.09.006
  328. Xu, F., & Tenenbaum, J. B. (2007). Word learning as Bayesian inference. Psychological Review, 114(2), 245272. DOI: 10.1037/0033-295X.114.2.245
  329. Zappa, A., Bolger, D., Pergandi, J.-M., Mallet, P., Dubarry, A.-S., Mestre, D., & Frenck-Mestre, C. (2019). Motor resonance during linguistic processing as shown by EEG in a naturalistic VR environment. Brain and Cognition, 134, 4457. DOI: 10.1016/j.bandc.2019.05.003
  330. Zhang, Q., Guo, C. Y., Ding, J. H., & Wang, Z. Y. (2006). Concreteness effects in the processing of Chinese words. Brain and Language, 96(1), 5968. DOI: 10.1016/j.bandl.2005.04.004
  331. Zhang, X., Han, Z., & Bi, Y. (2013). Are abstract and concrete concepts organized differently? Evidence from the blocked translation paradigm. Applied Psycholinguistics, 34(5), 10591092. DOI: 10.1017/S0142716412000124
  332. Zwaan, R. A., Pecher, D., Paolacci, G., Bouwmeester, S., Verkoeijen, P., Dijkstra, K., & Zeelenberg, R. (2017). Participant Nonnaivete and the reproducibility of cognitive psychology. Psychon Bull Rev. DOI: 10.3758/s13423-017-1348-y
DOI: https://doi.org/10.5334/joc.237 | Journal eISSN: 2514-4820
Language: English
Submitted on: Mar 6, 2022
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Accepted on: Jul 29, 2022
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Published on: Oct 10, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Laura Bechtold, Samuel H. Cosper, Anastasia Malyshevskaya, Maria Montefinese, Piermatteo Morucci, Valentina Niccolai, Claudia Repetto, Ana Zappa, Yury Shtyrov, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.