2022
DOI: 10.1016/j.neubiorev.2022.104834
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Does the involvement of motor cortex in embodied language comprehension stand on solid ground? A p-curve analysis and test for excess significance of the TMS and tDCS evidence

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Cited by 7 publications
(6 citation statements)
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“…In this line, there are studies that have indeed shown effects in action language comprehension after stimulating the PMC (e.g., Gijssels et al, 2018;Willems et al, 2011) and the SMA (Courson et al, 2017). The present study did fail to provide evidence for a causal role of M1, despite being the most targeted and supported region in this field (e.g., Lo Gerfo et al, 2008;Repetto et al, 2013;Vukovic et al, 2017; for review, see Solana and Santiago, 2022), but it cannot discard that stimulating secondary motor areas might change meaning construction. Future studies are needed to clarify the causal implication of motor areas outside primary motor system.…”
Section: Discussioncontrasting
confidence: 71%
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“…In this line, there are studies that have indeed shown effects in action language comprehension after stimulating the PMC (e.g., Gijssels et al, 2018;Willems et al, 2011) and the SMA (Courson et al, 2017). The present study did fail to provide evidence for a causal role of M1, despite being the most targeted and supported region in this field (e.g., Lo Gerfo et al, 2008;Repetto et al, 2013;Vukovic et al, 2017; for review, see Solana and Santiago, 2022), but it cannot discard that stimulating secondary motor areas might change meaning construction. Future studies are needed to clarify the causal implication of motor areas outside primary motor system.…”
Section: Discussioncontrasting
confidence: 71%
“…This left us with the preregistered sample size of thirty participants (Mage = 23.1, SDage = 4.14; 5 men). It is worth noting that this sample size is greater than most of the samples used in previous rTMS studies of embodied language comprehension, which usually range between 15 and 20 participants (see Solana and Santiago, 2022). Following our preregistered plan, we did not reach N = 40 since the BF indicated strong evidence towards the absence of effect with N = 30 (see section 2.3).…”
Section: Participantsmentioning
confidence: 88%
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“…If the interaction effect was significant, simple effects analysis was conducted using the lsmeans package (Lenth, 2016). This analysis method was chosen because LMM can simultaneously consider the variation of participants and items, resulting in more accurate and stable results than ANOVA (Solana & Santiago, 2022).…”
Section: Discussionmentioning
confidence: 99%