References
- 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), 209–223. DOI: 10.3233/RNN-2009-0471
- Adorni, R., & Proverbio, A. M. (2012). The neural manifestation of the word concreteness effect: An electrical neuroimaging study. Neuropsychologia, 50(5), 880–891. DOI: 10.1016/j.neuropsychologia.2012.01.028
- 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, 39–49. DOI: 10.1016/j.brainres.2012.09.030
- Andrews, M., Frank, S., & Vigliocco, G. (2014). Reconciling embodied and distributional accounts of meaning in language. Topics in cognitive science, 6(3), 359–370. DOI: 10.1111/tops.12096
- 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), 242–254. DOI: 10.1016/j.cortex.2010.06.001
- 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 - 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), 1818–1823. DOI: 10.1016/j.cub.2006.07.060
- 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), 559–572. DOI: 10.1016/S1053-8119(02)91192-4
- Baddeley, A. (2012). Working Memory: Theories, Models, and Controversies. Annual Review of Psychology, 63(1), 1–29. DOI: 10.1146/annurev-psych-120710-100422
- Bak, T. H., & Chandran, S. (2012). What wires together dies together: verbs, actions and neurodegeneration in motor neuron disease. Cortex, 48(7), 936–944. DOI: 10.1016/j.cortex.2011.07.008
- 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), 47–53. DOI: 10.1016/j.bandl.2013.01.005
- Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and brain sciences, 22(4), 577–660. DOI: 10.1017/S0140525X99002149
- Barsalou, L. W. (2008). Grounded cognition. Annu Rev Psychol, 59: 617–645. DOI: 10.1146/annurev.psych.59.103006.093639
- Barsalou, L. W. (2009). Simulation, situated conceptualization, and prediction. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 364(1521), 1281–1289. DOI: 10.1098/rstb.2008.0319
- Barsalou, L. W. (2020). Challenges and Opportunities for Grounding Cognition. J Cogn, 3(1), 31. DOI: 10.5334/joc.116
- 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 - 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), 84–91. DOI: 10.1016/S1364-6613(02)00029-3
- Barsalou, L. W., & Wiemer-Hastings, K. (2005). Situating abstract concepts. Grounding cognition: The role of perception and action in memory, language, and thought (pp. 129–163). DOI: 10.1017/CBO9780511499968.007
- 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
- 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
- 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, 44–55. DOI: 10.1016/j.bandl.2018.01.004
- Bedny, M., Caramazza, A., Pascual-Leone, A., & Saxe, R. (2012). Typical neural representations of action verbs develop without vision. Cerebral cortex, 22(2), 286–293. DOI: 10.1093/cercor/bhr081
- Bentin, S., Kutas, M., & Hillyard, S. A. (1993). Electrophysiological evidence for task effects on semantic priming in auditory word processing. Psychophysiology, 30(2), 161–169. DOI: 10.1111/j.1469-8986.1993.tb01729.x
- 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), 12916–12921. DOI: 10.1073/pnas.1712966114
- 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), 3253–3258. DOI: 10.1073/pnas.1113380109
- 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. 423–450). Springer International Publishing. DOI: 10.1007/978-3-030-78471-3_19 - Bi, Y. (2021). Dual coding of knowledge in the human brain. Trends in Cognitive Sciences, 25(10), 883–895. DOI: 10.1016/j.tics.2021.07.006
- 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
- 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 - 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), 130–174. DOI: 10.1080/02643294.2016.1147426
- 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), 905–917. DOI: 10.1162/0898929054021102
- 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
- Bohil, C. J., Alicea, B., & Biocca, F. A. (2011). Virtual reality in neuroscience research and therapy. Nature Reviews Neuroscience, 12(12), 752–762. DOI: 10.1038/nrn3122
- Bolognesi, M., & Steen, G. (2018). Editors’ introduction: abstract concepts: structure, processing, and modeling. Topics in cognitive science, 10(3), 490–500. DOI: 10.1111/tops.12354
- 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, 473–481. DOI: 10.1037/bul0000089
- 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, 120–53. DOI: 10.1016/j.plrev.2018.12.001
- Borghi, A. M., Binkofski, F., Castelfranchi, C., Cimatti, F., Scorolli, C., & Tummolini, L. (2017). The challenge of abstract concepts. Psychological Bulletin, 143(3), 263–292. DOI: 10.1037/bul0000089
- 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
- 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
- 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), 1009–1025. DOI: 10.1162/jocn_a_01538
- 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), 1905–1914. DOI: 10.1093/cercor/bhn217
- Boulenger, V., Shtyrov, Y., & Pulvermüller, F. (2012). When do you grasp the idea? Meg evidence for instantaneous idiom understanding. NeuroImage, 59(4), 3502–3513. DOI: 10.1016/j.neuroimage.2011.11.011
- Boutonnet, B., & Lupyan, G. (2015). Words jump-start vision: A label advantage in object recognition. Journal of Neuroscience, 35(25), 9329–9335. DOI: 10.1523/JNEUROSCI.5111-14.2015
- 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, 80–84. DOI: 10.1016/j.actpsy.2014.04.010
- 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), 355–363. DOI: 10.1016/j.cogbrainres.2005.02.020
- 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), 1849–1863. DOI: 10.3758/s13428-019-01243-z
- 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), 9058–9062. DOI: 10.1073/pnas.0702453104
- 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), 185–196. DOI: 10.3389/neuro.01.1.1.014.2007
- Carota, F., Moseley, R., & Pulvermüller, F. (2012). Body-part-specific representations of semantic noun categories. J Cogn Neurosci, 24(6), 1492–509. DOI: 10.1162/jocn_a_00219
- Carretié, L., Hinojosa, J. A., Mercado, F., & Tapia, M. (2005). Cortical response to subjectively unconscious danger. Neuroimage, 24(3), 615–623. DOI: 10.1016/j.cub.2014.11.068
- 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), 1–13. DOI: 10.3389/fnhum.2016.00053
- 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. 1–12). DOI: 10.3758/s13428-019-01254-w
- 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), 135–142. DOI: 10.1016/j.ijpsycho.2013.06.015
- 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 - 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), 586–591. DOI: 10.3758/s13423-011-0074-0
- 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), 6008–6010. DOI: 10.1073/pnas.0811884106
- Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407–428. DOI: 10.1037/0033-295X.82.6.407
- Connell, L. (2019). What have labels ever done for us? The linguistic shortcut in conceptual processing. Language, Cognition and Neuroscience, 34(10), 1308–1318. DOI: 10.1080/23273798.2018.1471512
- 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
- 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 - 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
- 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, 36–52. DOI: 10.1016/j.cortex.2022.03.020
- 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), 1377–1388, 1388–1390. DOI: 10.1080/17470210802483834
- 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), 1388–1408. DOI: 10.1080/17470218.2010.543285
- Crutch, S. J., & Warrington, E. K. (2005). Abstract and concrete concepts have structurally different representational frameworks. Brain, 128(3), 615–627. DOI: 10.1093/brain/awh349
- 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), 92–107. DOI: 10.1016/j.brainres.2006.07.050
- 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, 163–174. DOI: 10.1016/j.neuropsychologia.2014.06.019
- Damasio, H., Tranel, D., Grabowski, T., Adolphs, R., & Damasio, A. (2004). Neural systems behind word and concept retrieval. Cognition, 92(1–2), 179–229. DOI: 10.1016/j.cognition.2002.07.001
- 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
- De Mornay Davies, P., & Funnell, E. (2000). Semantic representation and ease of predication. Brain and Language, 73(1), 92–119. DOI: 10.1006/brln.2000.2299
- 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), 173–179. DOI: 10.1016/j.actpsy.2013.05.013
- Dehaene, S., Bossini, S., & Giraux, P. (1993). The Mental Representation of Parity and Number Magnitude. Journal of Experimental Psychology: General, 122, 371–396. DOI: 10.1037/0096-3445.122.3.371
- 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, 10–20. DOI: 10.1016/j.cognition.2019.01.001
- 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), 355–362. DOI: 10.1002/hbm.20282
- 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. 1–17). DOI: 10.1007/s00426-020-01438-6
- 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), 1879–1888. DOI: 10.1016/j.clinph.2005.03.017
- 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, 52–70. DOI: 10.1016/j.cortex.2017.10.021
- 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), 284–292. DOI: 10.1016/j.cognition.2008.11.012
- Edmiston, P., & Lupyan, G. (2017). Visual interference disrupts visual knowledge. Journal of Memory and Language, 92, 281–292. DOI: 10.1016/j.jml.2016.07.002
- 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
- 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. 46–96). Oxford University Press. - Engelkamp, J., & Zimmer, H. D. (1985). Motor programs and their relation to semantic memory. German Journal of Psychology, 9(3), 239–254. DOI: 10.1007/BF00308889
- Epstein, R., & Kanwisher, N. (1998). A cortical representation of the local visual environment. Nature, 392(6676), 598–601. DOI: 10.1038/33402
- 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), 888–899. DOI: 10.1016/j.cortex.2011.07.003
- 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 - 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), 2402–2418. DOI: 10.1080/17470218.2015.1016980
- 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), 825–850. DOI: 10.1080/17470210701623605
- Fodor, J. A. (1985). Precis of the Modularity of Mind. Behavioral and Brain Sciences, 8(1), 1–42. DOI: 10.1017/S0140525X0001921X
- 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), 209–223. DOI: 10.1080/23273798.2021.1955140
- Friedrich, M., & Friederici, A. D. (2008). Neurophysiological correlates of online word learning in 14-month-old infants. Neuroreport, 19(18), 1757–1761. DOI: 10.1097/WNR.0b013e328318f014
- Friedrich, M., & Friederici, A. D. (2011). Word learning in 6-month-olds: Fast encoding–weak retention. Journal of Cognitive Neuroscience, 23(11), 3228–3240. DOI: 10.1162/jocn_a_00002
- Galbraith, R. C., & Underwood, B. J. (1973). Perceived frequency of concrete and abstract words. Memory & Cognition, 1(1), 56–60. DOI: 10.3758/BF03198068
- Garcia, A. M., & Ibanez, A. (2016). A touch with words: Dynamic synergies between manual actions and language. Neuroscience and Biobehavioral Reviews, 68, 59–95. DOI: 10.1016/j.neubiorev.2016.04.022
- 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), 6051–6068. DOI: 10.1093/cercor/bhaa178
- 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
- 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), 22–41. DOI: 10.1037/a0037430
- Gevers, W., Reynvoet, B., & Fias, W. (2003). The mental representation of ordinal sequences is spatially organized. Cognition, 87, B87–B95. DOI: 10.1016/S0010-0277(02)00234-2
- 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), 171–172. DOI: 10.1016/S0010-9452(08)70938-9
- 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
- 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
- Glenberg, A. M., & Kaschak, M. P. (2002). Grounding language in action. Psychon Bull Rev, 9(3), 558–565. DOI: 10.3758/BF03196313
- Gloede, M. E., & Gregg, M. K. (2019). The fidelity of visual and auditory memory. Psychonomic Bulletin and Review, 26(4), 1325–1332. DOI: 10.3758/s13423-019-01597-7
- 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): 54–9. DOI: 10.1016/j.bandl.2013.01.012
- 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), 160–171. DOI: 10.1016/j.neuropsychologia.2011.11.014
- 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), 2353–2366. DOI: 10.1093/cercor/bhw026
- 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), 431–440. DOI: 10.1111/psyp.12033
- 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, 1–23. DOI: 10.1007/s00426-020-01374-5
- Hauk, O., Johnsrude, I., & Pulvermüller, F. (2004). Somatotopic representation of action words in human motor and premotor cortex. Neuron, 41(2), 301–307. DOI: 10.1016/S0896-6273(03)00838-9
- Hauk, O., & Pulvermüller, F. (2004). Neurophysiological distinction of action words in the fronto-central cortex. Human Brain Mapping, 21(3), 191–201. DOI: 10.1002/hbm.10157
- 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. 75–83).
- Hill, F., Korhonen, A., & Bentz, C. (2014). A quantitative empirical analysis of the abstract/concrete distinction. Cogn Sci, 38(1), 162–177. DOI: 10.1111/cogs.12076
- 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), 91–96. DOI: 10.1016/j.bandl.2010.07.002
- Hobson, H. M., & Bishop, D. V. (2016). Mu suppression–a good measure of the human mirror neuron system? Cortex, 82, 290–310. DOI: 10.1016/j.cortex.2016.03.019
- 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), 718–730. DOI: 10.3758/s13428-012-0278-x
- 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), 293–328. DOI: 10.1037/rev0000094
- Holcomb, P. J. (1988). Automatic and attentional processing: An event-related brain potential analysis of semantic priming. Brain and Language, 35(1), 66–85. DOI: 10.1016/0093-934X(88)90101-0
- 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
- 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 - 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
- Horst, J. S., & Samuelson, L. K. (2008). Fast Mapping but Poor Retention by 24-Month-Old Infants. Infancy, 13(2), 128–157. DOI: 10.1080/15250000701795598
- 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), 503–515. DOI: 10.1177/1606822X15583233
- 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), 1116–1123. DOI: 10.1016/j.neuroimage.2009.07.031
- 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.
- Ishihara, M., Keller, P. E., Rossetti, Y., & Prinz, W. (2008). Horizontal spatial representations of time: Evidence for the STEARC effect. Cortex, 44, 454–461. DOI: 10.1016/j.cortex.2007.08.010
- 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, 86–92. DOI: 10.1016/j.brainres.2018.10.034
- 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
- James, K. H., & Swain, S. N. (2011). Only self-generated actions create sensori-motor systems in the developing brain. Developmental Science, 14(4), 673–678. DOI: 10.1111/j.1467-7687.2010.01011.x
- 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), 1395–1399. DOI: 10.1046/j.1460-9568.2002.01975.x
- 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. 193–217). Springer. DOI: 10.1007/978-981-10-5490-7_11 - 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
- 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
- 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
- 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
- Junge, C., Cutler, A., & Hagoort, P. (2012). Electrophysiological evidence of early word learning. Neuropsychologia, 50(14), 3702–3712. DOI: 10.1016/j.neuropsychologia.2012.10.012
- Kanske, P., & Kotz, S. A. (2007). Concreteness in emotional words: ERP evidence from a hemifield study. Brain research, 1148, 138–148. DOI: 10.1016/j.brainres.2007.02.044
- 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), 67–75.
https://www.ncbi.nlm.nih.gov/pubmed/10978693 . DOI: 10.1016/S0926-6410(00)00023-9 - Kellmeyer, P. (2017). Ethical and Legal Implications of the Methodological Crisis in Neuroimaging. Camb Q Healthc Ethics, 26(4), 530–554. DOI: 10.1017/S096318011700007X
- 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), 16–43. DOI: 10.1016/j.bandl.2007.09.003
- 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), 41–55. DOI: 10.1016/S0167-8760(03)00076-X
- 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), 27–39. DOI: 10.1016/S0926-6410(01)00085-4
- Kiefer, M., & Harpaintner, M. (2020). Varieties of abstract concepts and their grounding in perception or action. Open Psychology, 2(1), 119–137. DOI: 10.1515/psych-2020-0104
- 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), 12224–12230. DOI: 10.1523/JNEUROSCI.3579-08.2008
- 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, 149–158. DOI: 10.1016/j.bbr.2017.04.002
- 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), 41–52. DOI: 10.1016/j.bandl.2013.12.001
- Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in cognitive sciences, 16(12), 606–617. DOI: 10.1016/j.tics.2012.10.007
- 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), 767–775. DOI: 10.1016/j.neuroimage.2007.12.018
- 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), 302–307. DOI: 10.1038/nn1197
- Kontra, C., Lyons, D. J., Fischer, S. M., & Beilock, S. L. (2015). Physical Experience Enhances Science Learning. Psychological Science. DOI: 10.1177/0956797615569355
- 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.
- Kousta, S.-T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E. (2011). The representation of abstract words: Why emotion matters. Journal of Experimental Psychology: General, 140(1), 14–34. DOI: 10.1037/a0021446
- 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
- 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), 1–12. DOI: 10.1038/s41598-020-79967-8
- Kutas, M., & Federmeier, K. D. (2000). Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Sciences, 4(12), 463–470. DOI: 10.1016/S1364-6613(00)01560-6
- 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), 621–647. DOI: 10.1146/annurev.psych.093008.131123
- 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, 107–114. DOI: 10.1016/j.actpsy.2013.12.004
- Lachmair, M., Dudschig, C., Ruiz Fernández, S., & Kaup, B. (2014b). Numbers affect the processing of verbs denoting movements in vertical space. Cogn. Process. 15, S115–S117. DOI: 10.1016/j.actpsy.2013.12.004
- Lakoff, G., & Johnson, M. (1980).
Metaphors we live by . Chicago, IL: University of Chicago Press. - 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), 42–55. DOI: 10.1038/nrn.2016.150
- 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), 2717–2722. DOI: 10.1073/pnas.0907307107
- 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), 15254–15261. DOI: 10.1523/JNEUROSCI.2046-10.2010
- Lau, E. F., Phillips, C., & Poeppel, D. (2008). A cortical network for semantics: (De)constructing the N400. Nature Reviews Neuroscience, 9(12), 920–933. DOI: 10.1038/nrn2532
- Lau, E. F., Weber, K., Gramfort, A., Hamalainen, M. S., & Kuperberg, G. R. (2016). Spatiotemporal Signatures of Lexical-Semantic Prediction. Cereb Cortex, 26(4), 1377–1387. DOI: 10.1093/cercor/bhu219
- Laws, K. R. (2016). Psychology, replication & beyond. BMC Psychol, 4(1), 30. DOI: 10.1186/s40359-016-0135-2
- 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), 145–158. DOI: 10.1016/j.bandl.2007.06.002
- 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, 90–102. DOI: 10.1016/j.bandc.2018.09.004
- Lenci, A., Lebani, G. E., & Passaro, L. C. (2018). The emotions of abstract words: A distributional semantic analysis. Topics in cognitive science, 10(3), 550–572. DOI: 10.1111/tops.12335
- Li, P., Legault, J., Klippel, A., & Zhao, J. (2020). Virtual reality for student learning: Understanding individual differences. Human Behaviour and Brain, 1(1), 28–36. DOI: 10.37716/HBAB.2020010105
- 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), 1189–1207. DOI: 10.1037/0096-1523.33.5.1189
- 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
- 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), 764–770. DOI: 10.1016/j.neuropsychologia.2007.10.012
- Loetscher, T., Bockisch, C., Nicholls, M. E. R., & Brugger, P. (2010). Eye position predicts what number you have in mind. Curr. Biol., 20, R264–R265. DOI: 10.1016/j.cub.2010.01.015
- Louwerse, M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3, 273–302. DOI: 10.1111/j.1756-8765.2010.01106.x
- 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), 3435–3440. DOI: 10.1016/j.cub.2018.08.043
- 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), 1271–1291. DOI: 10.3758/s13428-019-01316-z
- Macedonia, M. (2003).
Sensorimotor enhancing of verbal memory through ‘Voice Movement Icons’ during encoding of foreign language: Vol . PhD. University of Salzburg. - Macedonia, M., & Knösche, T. R. (2011). Body in Mind: How Gestures Empower Foreign Language Learning. Mind, Brain, and Education, 5(4), 196–211. DOI: 10.1111/j.1751-228X.2011.01129.x
- 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), 1–14. DOI: 10.3389/fpsyg.2016.00953
- 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), 982–998. DOI: 10.1002/hbm.21084
- 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
- 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), 1329–1335. DOI: 10.1152/jn.00773.2000
- 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, 59–70. DOI: 10.1016/j.jphysparis.2008.03.004
- 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), 11369–11376. DOI: 10.1073/pnas.1720419115
- ManyBabies Consortium. (2020). Quantifying sources of variability in infancy research using the infant-directed-speech preference. Adv. Methods Prac. Psychol. Sci. 3, 24–52. DOI: 10.1177/2515245919900809
- 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), 8618–8631. DOI: 10.1523/JNEUROSCI.2249-20.2021
- 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), 1–5. DOI: 10.1186/1743-0003-7-27
- 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), 530–535. DOI: 10.1016/j.cub.2014.11.068
- McLaughlin, J., Osterhout, L., & Kim, A. (2004). Neural correlates of second-language word learning: minimal instruction produces rapid change. Nature Neuroscience, 7(7), 703–704. DOI: 10.1038/nn1264
- Mechelli, A., Crinion, J., & Noppeney, U. (2004). Structural plasticity in the bilingual brain. Nature, 431, 757. DOI: 10.1038/431757a
- Meier, B. P., & Robinson, M. D. (2004). Why the sunny side is up: Associations between affect and vertical position. Psychological Science, 15, 243–247. DOI: 10.1111/j.0956-7976.2004.00659.x
- 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
- 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), 641–661. DOI: 10.1007/s10936-017-9548-1
- 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
- Miller, L. M., & Roodenrys, S. (2009). The interaction of word frequency and concreteness in immediate serial recall. Memory & cognition, 37(6), 850–865. DOI: 10.3758/MC.37.6.850
- Miller, T. M., Schmidt, T. T., Blankenburg, F., & Pulvermüller, F. (2018). Verbal labels facilitate tactile perception. Cognition, 171, 172–179. DOI: 10.1016/j.cognition.2017.10.010
- Mirman, D., & Graziano, K. M. (2012). Individual differences in the strength of taxonomic versus thematic relations. J Exp Psychol Gen, 141(4), 601–609. DOI: 10.1037/a0026451
- 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
- Mo, J., Schroeder, C. E., & Ding, M. (2011). Attentional modulation of alpha oscillations in macaque inferotemporal cortex. Journal of Neuroscience, 31(3), 878–882. DOI: 10.1523/JNEUROSCI.5295-10.2011
- 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, 1–7. DOI: 10.1080/17588920903373952
- 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, 262–276. DOI: 10.1016/j.cortex.2015.10.021
- 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
- Montefinese, M. (2019). Semantic representation of abstract and concrete words: A minireview of neural evidence. Journal of Neurophysiology, 121(5), 1585–1587. DOI: 10.1152/jn.00065.2019
- 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
- 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), 440–461. DOI: 10.3758/s13428-012-0263-4
- 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), 887–903. DOI: 10.3758/s13428-013-0405-3
- 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 - 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
- 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
- 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 - Montefinese, M., Vinson, D., & Ambrosini, E. (2018a). Recognition memory and featural similarity between concepts: The pupil’s point of view. Biological psychology, 135, 159–169. DOI: 10.1016/j.biopsycho.2018.04.004
- Montefinese, M., Zannino, G. D. & Ambrosini, E. (2015). Semantic similarity between old and new items produces false alarms in recognition memory. Psychological Research, 79, 785–794. DOI: 10.1007/s00426-014-0615-z
- 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, 50–62. DOI: 10.1016/j.neuroimage.2015.01.018
- 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, 1–14. DOI: 10.3758/S13423-021-01927-8/TABLES/4
- Morucci, P., Bottini, R., & Crepaldi, D. (2019). Augmented Modality Exclusivity Norms for Concrete and Abstract Italian Property Words. Journal of Cognition, 2(1), 1–14. DOI: 10.5334/joc.88
- 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
- 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), 1634–1647. DOI: 10.1093/cercor/bhr238
- 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
- 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, 161–163. DOI: 10.1016/j.plrev.2019.04.005
- 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
- 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. 264–336). Lawrence Erlbaum Associates, Inc. - 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
- Niccolai, V., Klepp, A., Schnitzler, A., & Biermann-Ruben, K. (2021). Neurophysiological mechanisms of perspective-taking: An MEG investigation of agency. Social Neuroscience, 16(5), 584–593. DOI: 10.1080/17470919.2021.1974546
- 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
- 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 - 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
- Noorman, S., Neville, D. A., & Simanova, I. (2018). Words affect visual perception by activating object shape representations. Scientific reports, 8(1), 1–10. DOI: 10.1038/s41598-018-32483-2
- 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), 374–381. DOI: 10.1162/089892904322926719
- 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
- 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, 84–94. DOI: 10.1016/j.cognition.2018.08.017
- Paivio, A. (1990). Mental representations: A dual coding approach. New York, NY: Oxford University Press. DOI: 10.1093/acprof:oso/9780195066661.001.0001
- 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
- Palva, S., & Palva, J. M. (2007). New vistas for α-frequency band oscillations. Trends in neurosciences, 30(4), 150–158. DOI: 10.1016/j.tins.2007.02.001
- 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 - 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), 976–987. DOI: 10.1038/nrn2277
- Paul, M., Govaart, G. H., & Schettino, A. (2021). Making ERP research more transparent: guidelines for preregistration. Int. J. Psychophysiol, 164, 52–63. DOI: 10.1016/j.ijpsycho.2021.02.016
- 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, 213–229. DOI: 10.1016/j.cortex.2021.03.013
- Pecher, D. (2018). Curb your embodiment. Topics in Cognitive Science, 10(3), 501–517. DOI: 10.1111/tops.12311
- Peeters, D. (2019). Virtual reality: A game-changing method for the language sciences. Psychonomic Bulletin & Review, 26(3), 894–900. DOI: 10.3758/s13423-019-01571-3
- 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), 1407–1419. DOI: 10.1162/jocn.2007.19.8.1407
- 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), 1842–1857. DOI: 10.1016/S1388-2457(99)00141-8
- 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), 634–644. DOI: 10.1016/j.neuroimage.2008.08.006
- 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, 950–965. DOI: 10.1007/s00426-018-1125-1
- Pulvermüller, F. (1999). Words in the brain’s language. Behavioral and brain sciences, 22(2), 253–279. DOI: 10.1017/S0140525X9900182X
- Pulvermüller, F. (2013). How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics. Trends in cognitive sciences, 17(9), 458–470. DOI: 10.1016/j.tics.2013.06.004
- Pulvermuller, F., & Berthier, M. L. (2008). Aphasia therapy on a neuroscience basis. Aphasiology, 22(6), 563–599. DOI: 10.1080/02687030701612213
- 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), 793–797. DOI: 10.1111/j.1460-9568.2005.03900.x
- Recchia, G., & Jones, M. N. (2012). The semantic richness of abstract concepts. Frontiers in Human neuroscience, 6, 315. DOI: 10.3389/fnhum.2012.00315
- 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
- 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), 8–13. DOI: 10.1016/j.neuropsychologia.2012.11.001
- Repetto, C., Colombo, B., & Riva, G. (2015). Is Motor Simulation Involved During Foreign Language Learning? A Virtual Reality Experiment. SAGE Open, 5(4), 1–10. DOI: 10.1177/2158244015609964
- 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
- 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
- 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), 292–323. DOI: 10.1080/17470210601147747
- Rotaru, A. S., Vigliocco, G., & Frank, S. L. (2018). Modeling the structure and dynamics of semantic processing. Cognitive Science, 42(8), 2890–2917. DOI: 10.1111/cogs.12690
- 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), 2475–2480. DOI: 10.1046/j.1460-9568.2003.02673.x
- 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), 855–865. DOI: 10.1162/jocn.2007.19.5.855
- Sabsevitz, D. S., Medler, D. A., Seidenberg, M., & Binder, J. R. (2005). Modulation of the semantic system by word imageability. NeuroImage, 27(1), 188–200. DOI: 10.1016/j.neuroimage.2005.04.012
- 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), 409–418. DOI: 10.1016/j.neuropsychologia.2007.08.015
- 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, 194–205. DOI: 10.1016/j.brainres.2008.03.045
- 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), 1263–1273. DOI: 10.1162/jocn.2010.21483
- 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
- Saffran, J. R. (2002). Constraints on statistical language learning. Journal of Memory and Language, 47(1), 172–196. DOI: 10.1006/jmla.2001.2839
- Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 1926–1928. DOI: 10.1126/science.274.5294.1926
- 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), 27–52. DOI: 10.1016/S0010-0277(98)00075-4
- 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), 1–14. DOI: 10.1038/s41598-018-25093-5
- 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 - 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
- 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), 2649–2660. DOI: 10.1007/s00221-018-5324-1
- Schwanenflugel, P. J. (1991). Chapter 2 contextual constraint and lexical processing. Advances in Psychology, 77(C), 23–45. DOI: 10.1016/S0166-4115(08)61528-9
- 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
- Schwanenflugel, P. J., & Stowe, R. W. (1989). Context Availability and the Processing of Abstract and Concrete Words in Sentences. Reading Research Quarterly, 24(1), 114–126. DOI: 10.2307/748013
- Schwanenflugel, P. J., Akin, C., & Luh, W. M. (1992). Context availability and the recall of abstract and concrete words. Memory & Cognition, 20(1), 96–104. DOI: 10.3758/BF03208259
- 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, 60–71. DOI: 10.1016/j.brainres.2012.10.004
- 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), E1918–E1923. DOI: 10.1073/pnas.1323158111
- 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), 1083–1092. DOI: 10.1111/j.0953-816X.2004.03126.x
- 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. 439–461). Springer International Publishing. DOI: 10.1007/978-3-030-50200-3_20 - 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
- Sloutsky, V. M., Yim, H., Yao, X., & Dennis, S. (2017). An associative account of the development of word learning. Cognitive Psychology, 97, 1–30. DOI: 10.1016/j.cogpsych.2017.06.001
- Smith, L. B., & Yu, C. (2008). Infants rapidly learn word-referent mappings via cross-situational statistics. Cognition, 106(3), 1558–1568. DOI: 10.1016/j.cognition.2007.06.010
- 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), 4024–4032. DOI: 10.1523/JNEUROSCI.5684-09.2010
- Soemer, A., & Saito, S. (2015). Maintenance of auditory-nonverbal information in working memory. Psychonomic Bulletin and Review, 22(6), 1777–1783. DOI: 10.3758/s13423-015-0854-z
- 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, 1–24. DOI: 10.1007/s11065-021-09513-4
- Speed, L. J., & Majid, A. (2017). Dutch modality exclusivity norms: Simulating perceptual modality in space. Behavior Research Methods, 49(6), 2204–2218. DOI: 10.3758/s13428-017-0852-3
- Spehlmann, R. (1965). The averaged electrical responses to diffuse and to patterned light in the human. Electroencephalography and clinical neurophysiology, 19(6), 560–569. DOI: 10.1016/0013-4694(65)90241-5
- 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. 1–30). John Benjamins Publishing Company. DOI: 10.1075/aicr.93.01spi - 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, 192–197. DOI: 10.1016/j.neulet.2017.05.007
- 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
- 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), 99–103. DOI: 10.1016/S0926-6410(02)00219-7
- Taxitari, L., Twomey, K. E., Westermann, G., & Mani, N. (2019). The Limits of Infants’ Early Word Learning. Language Learning and Development (pp. 1–21). DOI: 10.1080/15475441.2019.1670184
- 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), 256–264. DOI: 10.1016/j.neuroimage.2007.11.038
- 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), 273–281. DOI: 10.1162/0898929053124965
- Thiessen, E. D. (2010). Effects of visual information on adults’ and infants’ auditory statistical learning. Cognitive Science, 34(6), 1093–1106. DOI: 10.1111/j.1551-6709.2010.01118.x
- 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, 111–129. DOI: 10.1016/j.neuropsychologia.2016.07.004
- 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), 128–41. DOI: 10.1016/j.neuroimage.2007.03.035
- 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
- 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), 862–869. DOI: 10.3758/s13428-017-0911-9
- 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), 3139–3148. DOI: 10.1016/j.neuroimage.2011.11.037
- 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), 471–502. DOI: 10.1080/01690960143000290
- 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), 40–41. DOI: 10.4161/cib.1.1.6649
- van Dam, W. O., van Dijk, M., Bekkering, H., & Rueschemeyer, S.-A. (2012). Flexibility in embodied lexical-semantic representations. Human Brain Mapping, 33(10), 2322–2333. DOI: 10.1002/hbm.21365
- 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), 665–677. DOI: 10.1016/j.neuroimage.2009.12.123
- 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), 14332–14341. DOI: 10.1073/pnas.1402773111
- van Petten, C., & Rheinfelder, H. (1995). Conceptual relationships between spoken words and environmental sounds: Event-related brain potential measures. Neuropsychologia, 33(4), 485–508. DOI: 10.1016/0028-3932(94)00133-A
- Venter, E. (2021). Toward an Embodied, Embedded Predictive Processing Account. Frontiers in Psychology, 12, 137. DOI: 10.3389/fpsyg.2021.543076
- 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. 1–18). DOI: 10.3758/s13428-019-01337-8
- 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), 288–291. DOI: 10.1037/a0028749
- 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 - Vukovic, N., & Shtyrov, Y. (2014). Cortical motor systems are involved in second-language comprehension: evidence from rapid mu-rhythm desynchronisation. NeuroImage, 102, 695–703. DOI: 10.1016/j.neuroimage.2014.08.039
- Vukovic, N., & Shtyrov, Y. (2017). Cortical networks for reference-frame processing are shared by language and spatial navigation systems. NeuroImage, 161, 120–133. DOI: 10.1016/j.neuroimage.2017.08.041
- 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
- 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, 222–229. DOI: 10.1016/j.neuropsychologia.2017.01.025
- 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 - 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
- Walsh, V. (2003). A theory of magnitude: common cortical metrics of time, space and quantity. Trends Cogn. Sci., 7, 483–488. DOI: 10.1016/j.tics.2003.09.002
- 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, 28–37. DOI: 10.1016/j.neuropsychologia.2015.02.034
- 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), 1459–1468. DOI: 10.1002/hbm.20950
- 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
- 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), 563–576. DOI: 10.1007/s00429-014-0925-3
- 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), 347–358. DOI: 10.1007/s00221-011-2734-8
- 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), 1289–1309. DOI: 10.1037/0012-1649.34.6.1289
- 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), 1024–1037. DOI: 10.1162/08989290051137558
- Willems, R. M., & Hagoort, P. (2007). Neural evidence for the interplay between language, gesture, and action: a review. Brain and language, 101(3), 278–289. DOI: 10.1016/j.bandl.2007.03.004
- 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), 849–854. DOI: 10.1177/0956797611412387
- Wilson-Mendenhall, C. D., Barrett, L. F., Simmons, W. K., & Barsalou, L. W. (2011). Grounding emotion in situated conceptualization. Neuropsychologia, 49(5), 1105–1127. DOI: 10.1016/j.neuropsychologia.2010.12.032
- Winter, B., Perlman, M., & Majid, A. (2018). Vision dominates in perceptual language: English sensory vocabulary is optimized for usage. Cognition, 179, 213–220. DOI: 10.1016/j.cognition.2018.05.008
- 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), 423–436. DOI: 10.1016/j.neuroimage.2008.03.045
- 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), RC63–RC63. DOI: 10.1523/JNEUROSCI.20-06-j0002.2000
- 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), 251–258. DOI: 10.1016/j.bandl.2011.09.006
- Xu, F., & Tenenbaum, J. B. (2007). Word learning as Bayesian inference. Psychological Review, 114(2), 245–272. DOI: 10.1037/0033-295X.114.2.245
- 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, 44–57. DOI: 10.1016/j.bandc.2019.05.003
- 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), 59–68. DOI: 10.1016/j.bandl.2005.04.004
- Zhang, X., Han, Z., & Bi, Y. (2013). Are abstract and concrete concepts organized differently? Evidence from the blocked translation paradigm. Applied Psycholinguistics, 34(5), 1059–1092. DOI: 10.1017/S0142716412000124
- 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
