The inhibition of automatic imitation: a meta-analysis and synthesis of fMRI studies
Preprint — published as 10.1016/j.neuroimage.2019.04.059
Abstract
Humans copy other people without their conscious awareness, a behaviour known as automatic imitation. Although automatic imitation forms a key part of daily social interactions, we do not copy other people indiscriminately. Instead, we control imitative tendencies by prioritising some actions and inhibiting others. To date, neuroimaging studies investigating the control of automatic imitation have produced inconsistent findings. Some studies suggest that imitation control relies on a domain-specific neural circuit related to social cognition (the theory-of-mind network). In contrast, other studies show engagement of a domain-general neural circuit that is engaged during a diverse range of cognitive control tasks (the multiple demand network). Given the inconsistency of prior findings, in the current paper we avoided problems associated with interpreting individual studies by performing a meta-analysis. To do so, we used a multi-level kernel density analysis to quantitatively identify consistent patterns of activation across functional magnetic resonance imaging studies investigating the control of imitation. Our results show clear and consistent evidence across studies that the control of automatic imitation is guided by brain regions in the multiple demand network including dorsolateral frontoparietal cortex. In contrast, there was only limited evidence that regions in the theory of mind network were engaged. Indeed, medial prefrontal cortex showed no consistent engagement and right temporoparietal junction engagement may reflect spatial rather than imitative control. As such, the current meta-analysis reinforces the role of domain-general control mechanisms and provides limited evidence in support of the role of domain-specific processes in regulating imitative tendencies. Consequently, neurocognitive models of imitation need updating to place more emphasis on domain-general control mechanisms, as well as to consider more complex organisational structures of control, which may involve contributions from multiple cognitive systems.
AI snapshot
Written from the paper’s full text.
TL;DR
This meta-analysis of fMRI studies found that inhibiting automatic imitation consistently engages domain-general multiple demand (MD) network regions, especially dorsolateral frontoparietal cortex, rather than the theory-of-mind (ToM) network. Medial prefrontal cortex showed no consistent engagement, and right temporoparietal junction engagement was limited and may reflect spatial rather than imitative control.
Key findings
- Across 13 contrasts from 12 studies (300 participants, 142 foci), the general compatibility effect consistently activated right inferior parietal lobule, right supramarginal gyrus, right superior temporal gyrus, and right temporoparietal junction; right superior frontal gyrus and right middle frontal gyrus survived height and less stringent extent-based thresholding (p<.01), insula survived more stringent extent-based thresholding (p<.001), and right IFG survived less stringent extent-based thresholding (p<.01).
- All regions passing height- or extent-based thresholding overlapped with the MD network; one general-compatibility cluster also overlapped with the rTPJ node of the ToM network, but there was no overlap with mPFC for any compatibility type.
- For spatial compatibility (4 contrasts, 4 studies, 42 foci), left IPL and right SFG survived height-based thresholding, with no regions surviving cluster-based thresholding; for imitative compatibility (3 contrasts, 3 studies, 20 foci), left IPL survived height-based thresholding and right IPL survived height-based plus less stringent extent-based thresholding (p<.01).
- Only 28.6% (4/14) of fMRI studies on imitation control to date showed any evidence for rTPJ involvement, and rTPJ overlapped with general and spatial compatibility maps but not with imitative compatibility maps.
Methods
- The authors searched PubMed and Google Scholar for fMRI studies of imitation inhibition prior to January 2019, found 15 studies, excluded 3, and included 12 studies with 300 participants; exclusions were for non-fMRI methods, unavailable stereotactic coordinates, ROI-only analyses without whole-brain coordinates, or child/atypical populations without separate control coordinates.
- They performed multi-level kernel density analysis (MKDA) in MatlabR2015b using the Wager toolbox, with a random-effects model; Talairach coordinates were converted to MNI, peaks were convolved with a 10 mm spherical kernel, density maps were weighted by square root of sample size and by fixed/random-effects adjustment (1 for random, .75 for fixed), and significance was assessed with Monte Carlo simulation (5000 iterations) using FWE-corrected height- and cluster-extent thresholds.
- The main analysis examined the general compatibility effect, with exploratory separate MKDAs for spatial and imitative compatibility; resulting maps were overlaid with ToM and MD network masks.
Limitations
- Stated: the meta-analysis excluded Brass et al. (2009) because whole-brain data were unavailable; the MD network is larger than the ToM network, which may bias analyses toward MD findings; the spatial and imitative compatibility analyses were based on small subsets (N=4 and N=3 studies, respectively); and fMRI findings may diverge from neurostimulation and patient studies, whose evidence for rTPJ is limited to a few small-sample studies lacking formal power analyses and replications.
- Evident from the text: many included studies had small samples (e.g., 10–25 participants in studies implicating mPFC/rTPJ; Darda et al. 2018 used N=28 and N=50), and the authors note that most previous fMRI studies were limited by low statistical power and few direct replications.
- Evident from the text: the meta-analysis synthesizes univariate activation patterns and cannot resolve functional connectivity or more complex interactions between domain-general and domain-specific systems.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
15 of 40 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
- Premisereasoning
The tasks used in the studies included in the meta-analysis are conceptually, visually and cognitively similar to each other, with only minor differences across all studies.
“However, the tasks are all conceptually, visually and cognitively similar to each other with only minor differences across all studies.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Darda et al., (2018 source
The Design and Procedure section (page unavailable) says the automatic imitation task in Experiment 2 was similar to that in Experiment 1, with two changes, including a different hand stimulus. That supports similarity between this paper’s two experiments, but it does not establish that tasks across all studies in the citing document’s meta-analysis were conceptually, visually and cognitively similar, with only minor differences. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Wang et al. (2011) source
Materials and Methods (page unavailable) says this study used a stimulus-response compatibility paradigm used in earlier studies and stimuli identical to those in Wang et al. (2011). That supports similarity with some prior work, but the paper does not compare the tasks in all studies included in the citing document’s meta-analysis or establish that their conceptual, visual, and cognitive differences were only minor. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Interpretationown data
The absence of mPFC engagement for imitation control across studies is inconsistent with the hypothesis that a specific neural system related to social cognition is also engaged during the inhibition of automatic imitation.
“An absence of mPFC engagement for imitation control across studies is thus inconsistent with the hypothesis that a specific neural system related to social cognition is also engaged during the inhibition of automatic imitation (Brass et al., 2009).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Brass et al., 2009 source
- Premisecitation
Dampening activity in the rTPJ with repetitive transcranial magnetic stimulation interfered with imitative, but not spatial, responses.
“Using repetitive transcranial magnetic stimulation (TMS), dampening of activity in the rTPJ interfered with imitative, but not spatial responses (Hogeveen et al., 2014;Sowden & Catmur, 2015)”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Hogeveen et al., 2014 source
The Discussion (page unavailable) reports that repetitive TMS to the TPJ impaired imitation inhibition but did not affect spatial compatibility, supporting the stated behavioral contrast. It does not say that the TMS dampened rTPJ activity. The Procedures (page unavailable) describe this paper’s own intervention as excitatory anodal tDCS, not TMS. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Sowden & Catmur, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductcitation
Each contrast in the MKDA is weighted by sample size and study quality (fixed or random effects model).
“Further, each contrast is weighted by the sample size and study quality (i.e.whether the study used fixed or random effects model; Wager et al., 2007;Kober and Wager, 2010).”
Quote in the paperNot a substantial claim2 of 2 sources checked - Premisecitation
Neurostimulation studies have implicated the rTPJ in imitation control.
“For instance, neurostimulation studies have implicated rTPJ in imitation control (Santiesteban et al., 2015;Bardi et al., 2017).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Santiesteban et al., 2015 source
- cites Bardi et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The rTPJ showed a higher response when an interaction partner was believed to be human and looked human compared to when these animacy cues were absent.
“In addition, rTPJ showed a higher response when an interaction partner was believed to be human and looked human compared to when these animacy cues were absent (Klapper et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Klapper et al., 2014 source
The Discussion says rTPJ was engaged when the observed agent both looked human and was believed to be human. The Interactions results specify that this was a greater response to incongruent than congruent actions in that condition, not a demonstrated higher overall response than when both animacy cues were absent. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
mPFC has been demonstrated to exert a top-down influence during modulation of imitation via direct gaze.
“For example, mPFC has been demonstrated to exert a top-down influence during modulation of imitation via direct gaze (Wang et al., 2011).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wang et al., 2011 source
- Premisecitation
In patients with lesions in the temporoparietal junction area, imitation inhibition deficits have been found to correlate with deficits in visual and cognitive perspective taking tasks.
“Further, in patients with lesions in the temporoparietal junction area, imitation inhibition deficits have been found to correlate with deficits in visual and cognitive perspective taking tasks, further supporting the role of rTPJ in imitation control (Spengler et al., 2010).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Spengler et al., 2010 source
- Findingown data
Using only whole-brain contrast indicator maps, which avoid thresholding and mask-choice issues, the meta-analysis still finds no evidence for engagement near the rTPJ and mPFC for the imitative compatibility effect.
“Third, even if we only use CIMs across the whole brain, which report activation peaks from prior studies, thus avoiding issues with thresholding or choice of masks, we still do not find evidence for engagement near rTPJ and mPFC for the imitative compatibility effect (Figure 4).”
Quote in the paperSubstantial claim - Findingown data
One cluster that showed consistent activation for general compatibility also overlapped with the right TPJ in the ToM network.
“Additionally, one cluster, which showed consistent activation for general compatibility, also overlapped with the right TPJ in the ToM network (Figure 3B).”
Quote in the paperNot a substantial claim - Findingown data
For the general compatibility effect, activation in right superior frontal gyrus and right middle frontal gyrus survived both height and the less stringent extent-based thresholding (p<.01).
“Activation was also found in right superior frontal gyrus, and right middle frontal gyrus, which survived both height and the less stringent extentbased thresholding (p<.01).”
Quote in the paperNot a substantial claim - Findingown data
The current MKDA did not find any evidence of anterior mPFC engagement for either general, spatial, or imitative compatibility effects.
“However, the current MKDA did not find any evidence of anterior mPFC engagement for either general, spatial, or imitative compatibility effects.”
Quote in the paperSubstantial claim - Findingown data
Across studies investigating imitation inhibition as measured by the general compatibility effect, the current meta-analysis found engagement of rTPJ.
“In contrast to the results reported in mPFC, across studies investigating imitation inhibition as measured by the general compatibility effect, the current metaanalysis found engagement of rTPJ.”
Quote in the paperSubstantial claim - Findingown data
For the general compatibility effect, across 13 contrasts from 12 studies, consistent activation was found in right inferior parietal lobule, right supramarginal gyrus, right superior temporal gyrus, and right temporo-parietal junction (height-based thresholding p<.001).
“For the general compatibility effect, across 13 contrasts from 12 studies, consistent activation was found in right inferior parietal lobule, right supramarginal gyrus, right superior temporal gyrus, and right temporo-parietal junction (see Table 3; based thresholding (p<.001).”
Quote in the paperSubstantial claim - Findingown data
There was no overlap with the mPFC node of the ToM network for any compatibility type.
“There was no overlap with the mPFC node of the ToM network for any compatibility type.”
- Also stated in: § Theoretical implications · plain
“There was no overlap with the mPFC node of the ToM network for any compatibility type.”
Quote in the paperSubstantial claim - Also stated in: § Theoretical implications · plain
- Findingown data
For all compatibility types (general, imitative and spatial), all regions that passed height or extent-based thresholding overlapped with regions in the MD network.
“For all compatibility types (general, imitative and spatial), all regions that passed height or extent-based thresholding overlapped with regions in the MD network (Figure 3A).”
- Also stated in: § Theoretical implications · plain
“For all compatibility types (general, imitative and spatial), all regions that passed height or extent-based thresholding overlapped with regions in the MD network (A).”
Quote in the paperSubstantial claim - Also stated in: § Theoretical implications · plain
- Findingown data
One cluster showing consistent activation for general compatibility also overlapped with the right TPJ in the ToM network.
“Additionally, one cluster, which showed consistent activation for general compatibility, also overlapped with the right TPJ in the ToM network (B).”
Quote in the paperSubstantial claim - Interpretationown data
Current fMRI findings provide more evidence that rTPJ is involved in resolving spatial conflict, in keeping with patient work and evidence using spatial cueing tasks.
“In contrast, current fMRI findings provide more evidence that rTPJ is involved in resolving spatial conflict, which is in keeping with patient work (Vallar & Perani, 1987;Valler et al., 1993), as well as evidence using spatial cueing tasks like the Posner paradigm (Posner & Cohen, 1984;Thiel et al., 2004;Corbetta et al., 2008).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Vallar & Perani, 1987 source
- cites Valler et al., 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Posner & Cohen, 1984
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
When taken together with prior findings, the results provide consistently limited evidence for the univariate engagement of rTPJ in the control of imitative tendencies.
“However, when taken together with prior findings, the results provide consistently limited evidence for the univariate engagement of rTPJ in the control of imitative tendencies.”
Quote in the paperSubstantial claim - Premisecitation
Multiple cognitive control tasks like the Flanker, Stroop, and Simon tasks engage a domain-general control network identified in dorsolateral fronto-parietal cortices.
“Multiple cognitive control tasks like the Flanker, Stroop, and Simon tasks, which require the inhibition of automatic overlearned response tendencies, have been found to engage a domain-general control network identified in the dorsolateral fronto-parietal cortices (Aron et al., 2014;Bunge et al., 2002;Hazeltine et al., 2007;Nee et al., 2007;Wager et al., 2005).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The findings suggest that brain regions engaged across a range of cognitive control tasks are also reliably engaged when controlling the automatic tendency to imitate others, as measured by general and imitative compatibility effects.
“Thus, our findings suggest that brain regions that are engaged across a range of cognitive control tasks are also reliably engaged when controlling the automatic tendency to imitate others, as measured by general and imitative compatibility effects.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Had the ToM regions been consistently engaged across the included studies, the analysis would have been able to detect them.
“Consequently, we feel confident that had these regions been consistently engaged across studies, we would have been able to detect them.”
Quote in the paperSubstantial claim - Interpretationown data
In the current meta-analysis, there is limited evidence for the univariate engagement of rTPJ in the control of automatic imitative tendencies.
“However, irrespective of whether it plays a domain-specific or domain-general role, in the current meta-analysis, we find limited evidence for the univariate engagement of rTPJ in the control of automatic imitative tendencies.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is unlikely that the inclusion of an additional study with a relatively small sample size (Brass et al., 2009) would change the results of the meta-analysis, given that they are weighted by sample size.
“It is, therefore, unlikely that the inclusion of an additional study with a relatively small sample size (Brass et al., 2009) would change the results of the meta-analysis, given that they are weighted by sample size.”
Quote in the paperNot a substantial claim - Study design and conductown data
The current meta-analysis did not include work by Brass and colleagues (2009), which implicated rTPJ and mPFC in imitation control, due to the whole-brain data being unavailable.
“The current meta-analysis did not include work by Brass and colleagues (2009), which implicated rTPJ and mPFC in imitation control, due to the whole-brain data being unavailable.”
Quote in the paperNot a substantial claim - Premisecitation
A recent meta-analysis showed that behavioural performance is consistent across a range of studies that cover a range of minor methodological differences.
“Moreover, a recent metaanalysis also showed that behavioural performance is consistent across a range of studies that cover a range of minor methodological differences (Cracco et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cracco et al., 2018 source
- Premisecitation
The general compatibility effect includes a spatial component.
“The most common measure of imitation inhibition, the general compatibility effect, also includes a spatial component (Heyes, 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Heyes, 2011 source
- Interpretationreasoning
It is unlikely that small differences between the included studies could be responsible for the observed effects.
“Given the lack of substantial differences between the studies and the consistent pattern of behavioural data, it seems unlikely that small differences could be responsible for these effects.”
Quote in the paperSubstantial claim - Interpretationown data
The current MKDA demonstrated that brain regions in the multiple demand network are reliably and consistently engaged across studies that investigate imitation inhibition using the general compatibility effect.
“The current MKDA demonstrated that brain regions in the multiple demand network are reliably and consistently engaged across studies that investigate imitation inhibition using the general compatibility effect.”
Quote in the paperSubstantial claim - Interpretationcitation
A lack of engagement of mPFC (and possibly rTPJ) in imitation control does not imply that they do not also play a regulatory role in imitation control.
“However, a lack of engagement of mPFC (and possibly rTPJ) in imitation control does not imply that they do not also play a regulatory role in imitation control.”
Quote in the paperSubstantial claim - Interpretationreasoning
Although the perceptual input is social, a domain-general selection mechanism may still operate in imitation control.
“Although the perceptual input is social, a domain-general selection mechanism may still operate in imitation control.”
Quote in the paperSubstantial claim - Interpretationcitation
An interplay between domain-general and domain-specific networks may result in the control of automatic imitative tendencies.
“Thus, similar to other domains of social information processing, an interplay between domain-general and domain-specific networks may result in the control of automatic imitative tendencies (Baldauf & Desimone, 2014;Spunt & Adolphs, 2017;Zaki et al., 2010).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
The engagement of domain-specific and domain-general neural networks in imitation control may be more complicated than current models of imitation suggest.
“Thus, the engagement of domain specific and domain general neural networks in imitation control may be more complicated that what current models of imitation suggest.”
Quote in the paperNot a substantial claim - Premisereasoning
The evidence from neurostimulation and patient studies for the engagement of the rTPJ in imitation control is limited to a few studies with small sample sizes.
“The evidence from neurostimulation and patient studies for the engagement of rTPJ in imitation control is, however, limited to a few studies with small sample sizes.”
Quote in the paperSubstantial claim - Interpretationreasoning
In the context of imitation, domain-specific action observation and person perception networks may functionally interact with domain-general control mechanisms in the MD network.
“In the context of imitation, therefore, domain-specific action observation and person perception networks may functionally interact with domain-general control mechanisms in the MD network (see Figure 1).”
Quote in the paperSubstantial claim - Interpretationown data
The meta-analysis questions the role of mPFC and right TPJ in imitation control.
“Our meta-analysis questions the role of mPFC and right TPJ in imitation control, and suggests that current neurocognitive models of imitation control need further revision in order to account for the more complex nature of functional interplay between domain-general and domain-specific systems.”
Quote in the paperSubstantial claim - Interpretationreasoning
There is a discrepancy between the neurostimulation and patient studies and the results of the current meta-analysis of fMRI studies.
“Thus, there seems to be a discrepancy between neurostimulation and patient studies, and results from the current meta-analysis of fMRI studies.”
Quote in the paperSubstantial claim - Premisecitation
The dual-route model of automatic imitation proposed by Heyes (2011) can explain the control of automatic imitative tendencies without assuming a reliance on a self-other distinction.
“Indeed, the dual-route model of automatic imitation proposed by Heyes (2011) can explain the control of automatic imitative tendencies without assuming a reliance on a self-other distinction.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Heyes (2011) source
- Classified as probably not a substantial claim. 8
- May combine two claims. 24
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe meta-analysis followed recent guidelines for meta-analysing neuroimaging studies.
“In the current paper, we follow recent guidelines put forward for metaanalysing neuroimaging studies (Muller et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Muller et al., 2018 source
May combine two claims.
PremisecitationrTPJ is involved in both social and non-social processes, making it a functionally heterogenous region.
“Second, rTPJ is involved in both social and non-social processes, which makes it a functionally heterogenous region (Corbetta et al., 2008;Krall et al., 2015Krall et al., , 2016;;Lee & McCarthy, 2016;Schuwerk et al., 2017).”
Quote in the paperSubstantial claim2 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe neural substrates for person and action perception span the fusiform gyrus, occipitotemporal cortex, and posterior superior temporal sulcus, as well as the mirror neuron system.
“The neural substrates for person and action perception span the fusiform gyrus, occipitotemporal cortex, and posterior superior temporal sulcus, as well as the mirror neuron system (Kanwisher, 2010;Caspers, et al., 2010).”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationMore recent behavioural evidence suggests that imitation may not vary as a function of autistic-like traits or empathy, questioning the reliance of imitation inhibition on a distinctly social mechanism.
“However, more recent behavioural evidence suggests that imitation may not vary as a function of autistic-like traits or empathy, thus questioning the reliance of imitation inhibition on a distinctly social mechanism (Butler et al., 2015;Cracco et al., 2018;Genschow et al., 2017).”
Quote in the paperSubstantial claim1 of 3 sources checkedMay combine two claims.
Findingown dataFor imitative compatibility, across 3 contrasts from 3 studies, consistent activation in left IPL survived height-based thresholding; activation in right IPL withstood height-based and less stringent extent-based thresholding (p<.01).
“For imitative compatibility, across 3 contrasts from 3 studies, we found consistent activation in the left IPL that survived height-based (see Table 3; Figure 2C).Activation was also found in the right IPL, which withstood height-based as well as the less stringent extent-based thresholding (p<.01).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBrain regions in the MD network are also engaged for imitative (bilateral IPL) and spatial compatibility effects (left IPL, right SFG).
“Brain regions in the MD network are also engaged for imitative (bilateral IPL) and spatial compatibility effects (left IPL, right SFG).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the current meta-analysis, when unthresholded spatial and imitative compatibility effect maps were explored separately, there was partial overlap between the spatial compatibility effect and rTPJ, but no overlap between the imitative compatibility effect and rTPJ.
“Similarly, in the current meta-analysis, when we explored the unthresholded spatial and imitative compatibility effect maps separately, there was partial overlap between the spatial compatibility effect and rTPJ, but no overlap between the imitative compatibility effect and rTPJ.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOnly 28.6% of fMRI studies on imitation control to date (4/14) show any evidence in support of a role of rTPJ in imitation control, and these studies do not dissociate between spatial and imitative effects.
“Thus, we find that only 28.6% of fMRI studies on imitation control to date (4/14) show any evidence in support of a role of rTPJ in imitation control, and these studies do not dissociate between spatial and imitative effects.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the general compatibility effect, activation in left and right insula survived the more stringent extent-based threshold (p<.001) but not the height-based threshold.
“Activation in the left and right insula survived the more stringent extent-based threshold (p<.001), but not the height-based threshold.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor spatial compatibility, across 4 contrasts from 4 studies, consistent activation withstood height-based thresholding in left IPL and right SFG; no regions withstood cluster-based thresholding.
“For spatial compatibility, across 4 contrasts from 4 studies, we found consistent activation that withstood the height-based thresholding in the left IPL and the right SFG (see Table 3; Figure 2B).No regions withstood cluster-based thresholding.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the general compatibility effect, activation in right IFG survived the less stringent extent-based threshold (p<.01) but not the height-based threshold.
“Activation in the right IFG survived the less stringent extent-based threshold (p<.01) but not the height-based threshold.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn exploratory analysis, there was overlap between contrast indicator maps for general compatibility and spatial compatibility with the right TPJ node of the ToM network mask, but no overlap between imitative compatibility and the same right TPJ mask.
“Figure 4 shows overlap between contrast indicator maps for general compatibility and spatial compatibility with the right TPJ node of the ToM network mask.By contrast, there is no overlap between contrast indicator maps for imitative compatibility and the same right TPJ mask.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe results provide unambiguous support for engagement of a domain-general neural network during control of imitation, and only limited evidence for engagement of a domain-specific neural network tied to social cognition.
“Thus, our results provide unambiguous support for the engagement of a domaingeneral neural network during the control of imitation, and only limited evidence for the engagement of a domain-specific neural network that is tied to social cognition.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe meta-analysis found less evidence for a specialist view of imitation control relying on the ToM network; there was no engagement of mPFC across studies and no clear evidence regarding rTPJ, with only suggestive evidence that rTPJ may reflect spatial rather than social control.
“We found less evidence for a”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationBoth the MD and ToM networks were defined accurately based on prior work that used large samples of participants.
“Second, both networks were defined accurately based on prior work, which used large samples of participants.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe multiple demand (MD) network is engaged across a diversity of mental operations.
“This network is also called the multiple demand (MD) network as it is engaged across a diversity of mental operations (Duncan et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Duncan et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductown dataThe meta-analysis used two thresholding techniques (height-based and cluster-size-based) to maximise sensitivity in testing hypotheses.
“In order to maximise sensitivity in testing our hypotheses, we report results using two thresholding techniques.One thresholding technique is based on height and the other is based on cluster size.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe regions of interest in the ToM network were not particularly small: the mPFC regions included several portions of the dorsal, middle, and ventral mPFC, and the rTPJ covered a relatively large area of cortex.
“First, regions of interest in the ToM network were not particularly small areas.The mPFC regions included several portions of the dorsal, middle, and ventral mPFC, and the rTPJ covered a relatively large area of cortex.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningMKDA uses a random effects model to assess convergence across studies, so results are not biased by a small number of individual studies.
“MKDA is an analysis technique that uses a random effects model to assess convergence across studies.This allows for assessing convergence across studies as opposed to between individual foci (as implemented in classical meta-analysis techniques that use fixed effects analyses).Thus, results are not biased by a small number of individual studies.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe meta-analysis results supported a generalist view of imitation control: clear engagement of dorsolateral frontoparietal cortices when observing an action that conflicted with a current motor intention, and these regions overlapped with the MD network.
“Our results supported a”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningBecause the MD network spans a much larger area than the ToM network, the meta-analysis may be biased toward finding results in the MD network over the ToM network.
“Given that the MD network spans a much larger area than the ToM network, our analysis may be biased toward finding results in the MD network over the ToM network.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe current meta-analysis indicates that the selection mechanism when inhibiting automatic imitative tendencies is guided by the regions of the domain-general multiple demand network, which is also engaged during the inhibition of other non-social external influences, rather than by a domain-specific system related to social cognition.
“The current meta-analysis suggests that the selection mechanism in imitation inhibition is guided by a domain-general multiple demand system, which is also engaged during the inhibition of other non-social external influences.”
- Also stated in: § Theoretical implications · hedged
“In conclusion, the current meta-analysis provides evidence that the selection mechanism when inhibiting automatic imitative tendencies is guided by the regions of the domain-general multiple demand network rather than a domain-specific system related to social cognition.”
Quote in the paperSubstantial claim- Also stated in: § Theoretical implications · hedged
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
PremisereasoningThe input in the imitation inhibition task can be identified as emanating from a social entity, a human hand, so the observed input is social in that the observed agent offers opportunity for social interaction.
“Of course, the input in the imitation inhibition task can be readily identified as emanating from a social entity i.e. a human hand.Thus, the observed input is clearly social in the sense that the observed agent offers opportunity for social interaction.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe computational model of Cooper et al. (2012) shows that spatial and imitative compatibility effects depend on similar cognitive processes, with any behavioural differences accounted for by different sets of input nodes for spatial and imitative effects in a general dual-route framework.
“In line with this, the computational model put forth by Cooper et al. (2012) further substantiates this notion by demonstrating that spatial and imitative compatibility effects depend on similar cognitive processes, and any behavioural differences are accounted for by different sets of input nodes for spatial and imitative effects in a general dual-route framework”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cooper et al. (2012)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe dual-route model proposes that, like other stimulus-response compatibility tasks, imitation control is mediated by long-term stimulus-response associations that are a product of learning.
“The model suggests that like other stimulusresponse compatibility tasks, imitation control is mediated by long-term stimulusresponse associations which are a product of learning.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Heyes (2011) source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExcitatory stimulation of the rTPJ by anodal transcranial direct current stimulation caused increased performance on the imitation task.
“whereas excitatory stimulation of the rTPJ by anodal transcranial direct current stimulation (tDCS) caused increased performance on the imitation task (Santiesteban et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Santiesteban et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenOther socio-perceptual circuits that extend beyond the MD network may also be involved when inhibiting automatic imitative tendencies.
“In a similar manner, other socio-perceptual circuits, which extend beyond the MD network, may also be involved when inhibiting automatic imitative tendencies.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe lack of consistent activation in mPFC in the current meta-analysis and the difficulty in interpreting the role of the rTPJ have implications for specialist theories of imitation.
“The lack of consistent activation in mPFC in the current meta-analysis and a difficulty in interpreting the role of rTPJ have implications for”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationInstead of a distinctly social mechanism, imitation control may involve domain-general cognitive control mechanisms, which are also engaged during the control of other non-social pre-potent response tendencies.
“Instead of a distinctly social mechanism, imitation control may involve domain-general cognitive control mechanisms, which are also engaged during the control of other non-social pre-potent response tendencies (Heyes, 2011;Cooper et al., 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Heyes, 2011 source
- cites Cooper et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningmPFC and rTPJ may play a regulatory role in imitation control and may be functionally connected to other networks without being directly engaged.
“These findings suggest that mPFC and rTPJ may play a regulatory role in imitation control and may be functionally connected to other networks without being directly engaged (Burnett & Blakemore, 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Burnett & Blakemore, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThe sum total of evidence from neurostimulation and patient studies for rTPJ engagement in imitation control can only be judged suggestive at present, because it is based on a few studies with small sample sizes that lack formal power analyses and replications.
“Under any yardstick, therefore, the sum total of evidence from neurostimulation and patient studies can only be judged to be suggestive at present.It is based on a few studies with small sample sizes that lack formal power analyses and replications.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
On incompatible trials, expectations are violated.
“Assuming that on incompatible trials expectations are violated, rTPJ may play a more generalised role of context updating in imitation and spatial control.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Height-based threshold is described as both FDR- and FWE-corrected
MinorThe figure description labels the height-based threshold as FDR-corrected, whereas the methods describe it as FWE-corrected. These are different multiple-comparison corrections.
“Voxels that exceed the height-based threshold (p<.05,FDR corrected) in our analysis appear in yellow”
“For the weighted P-statistic (height-based threshold), the family wise error (FWE) corrected threshold”
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InfluentialThe mirror neuron system is more active during complementary compared with imitative action
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“In contrast, current fMRI findings provide more evidence that rTPJ is involved in resolving spatial conflict, which is in keeping with patient work (Vallar and Perani, 1987; Vallar, 1993), as well as evidence using spatial cueing tasks like the Posner paradigm (Posner and Cohen, 1984; Thiel et al.”
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The Brain's Intention to Imitate: The Neurobiology of Intentional versus Automatic Imitation
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“Instead, imitation control may involve domain-general cognitive control mechanisms, which are also engaged during the control of other non-social pre-potent response tendencies (Heyes, 2011; Cooper et al., 2012).”
The rTPJ’s overarching cognitive function in networks for attention and theory of mind
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Mimicry and automatic imitation are not correlated
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“Consequently, theories that move beyond a neat division and posit links between domain-general and domain-specific systems in imitation control need to be given greater emphasis in future work (Barrett, 2012; Spunt and Adolphs, 2017; Michael & D’Ausilio, 2015; Binney and Ramsey, 2019).”
Self-citationAtypical Social Modulation of Imitation in Autism Spectrum Conditions
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“Further, atypical self-other control has been linked to disorders characterised by social dysfunction including autism and schizophrenia (Cook and Bird, 2012; Ferri et al., 2012).”
Imitative response tendencies in patients with frontal brain lesions.
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“In addition, patients with frontal lobe lesions show disrupted imitation inhibition behaviour (Brass et al., 2003; Spengler et al., 2010) and an increased tendency to automatically imitate even when they are clearly instructed to not do so (Lhermitte et al.”
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Klapper, A., Ramsey, R., Wigboldus, D., & Cross, E. S. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00651 · Cited by 85 · cited 1× · see citing works
“In addition, rTPJ showed a higher response when an interaction partner was believed to be human and looked human compared to when these animacy cues were absent (Klapper et al., 2014).”
Self-citationImitation as an inheritance system
Shea, N. J. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0061 · Cited by 79 · see citing works
Self-other control: a candidate mechanism for social cognitive function
Sowden, S., & Shah, P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00789 · Cited by 77 · see citing works
Meta-analysis of neuroimaging data
Kober, H., & Wager, T. D. (2010) · WIREs Cognitive Science · doi:10.1002/wcs.41 · Cited by 74 · see citing works
Making Replication MainstreamPreprint
Zwaan, R. A., Etz, A. J., Lucas, R. E., & Donnellan, B. M. (2017) · doi:10.31234/osf.io/4tg9c · Cited by 73 · see citing works
Bodily self and schizophrenia: The loss of implicit self-body knowledge
Ferri, F., Frassinetti, F., Mastrangelo, F., Salone, A., Ferro, F. M., & Gallese, V. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2012.05.001 · Cited by 65 · see citing works
Erratum: Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Jonathan Flint, C., Robinson, E. S. J., & Munafo, M. R. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3502 · Cited by 65 · see citing works
Boyer, T. W., Longo, M. R., & Bertenthal, B. I. (2012) · Acta Psychologica · doi:10.1016/j.actpsy.2012.01.003 · Cited by 64 · see citing works
Kavanagh, L. C., & Winkielman, P. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00458 · Cited by 61 · see citing works
To imitate or not: Avoiding imitation involves preparatory inhibition of motor resonance
Cross, K. A., & Iacoboni, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.027 · Cited by 54 · cited 1× · see citing works
“In many situations, imitation can be maladaptive, and it is essential to circumvent the tendency to automatically imitate (Cross and Iacoboni, 2014; Cross et al., 2013; van Schie et al., 2008; NewmanNorlund et al., 2007).”
Functional Heterogeneity and Convergence in the Right Temporoparietal Junction
Lee, S. M., & McCarthy, G. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu292 · Cited by 51 · see citing works
Investigating the Relationship between Stable Personality Characteristics and Automatic Imitation
Butler, E. E., Ward, R., & Ramsey, R. (2015) · PLOS ONE · doi:10.1371/journal.pone.0129651 · Cited by 44 · see citing works
Self-citationThe Anatomical Basis of Spatial Hemineglect in Humans
Vallar, G. (2013) · doi:10.4324/9780203765258-7 · Cited by 43 · cited 1× · see citing works
“In contrast, current fMRI findings provide more evidence that rTPJ is involved in resolving spatial conflict, which is in keeping with patient work (Vallar and Perani, 1987; Vallar, 1993), as well as evidence using spatial cueing tasks like the Posner paradigm (Posner and Cohen, 1984; Thiel et al.”
The imitation game: Effects of social cues on ‘imitation’ are domain-general in nature
Marsh, L. E., Bird, G., & Catmur, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.050 · Cited by 39 · see citing works
Are Automatic Imitation and Spatial Compatibility Mediated by Different Processes?
Cooper, R. P., Catmur, C., & Heyes, C. (2013) · Cognitive Science · doi:10.1111/j.1551-6709.2012.01252.x · Cited by 37 · see citing works
Gowen, E., Bolton, E., & Poliakoff, E. (2016) · Cognition · doi:10.1016/j.cognition.2015.10.010 · Cited by 34 · cited 1× · see citing works
“In order to measure imitative compatibility more specifically, therefore, imitative and spatial effects need to be dissociated (Gowen et al., 2016; Boyer et al., 2012; Catmur and Heyes, 2011).”
Domain-specific and domain-general processes in social perception – A complementary approach
Michael, J., & D’Ausilio, A. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.12.009 · Cited by 34 · see citing works
Imitation components in the human brain: An fMRI study
Mengotti, P., Corradi-Dell'Acqua, C., & Rumiati, R. I. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.004 · Cited by 33 · cited 1× · see citing works
“, 2009), whereas others show engagement of the MD network (Bien et al., 2009; Crescentini et al., 2011; Cross and Iacoboni, 2013; Mengotti et al., 2012; Marsh et al., 2016).”
Disruption of the Right Temporoparietal Junction Impairs Probabilistic Belief Updating
Mengotti, P., Dombert, P. L., Fink, G. R., & Vossel, S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3683-16.2017 · Cited by 32 · cited 1× · see citing works
“More recent work also suggests that rTPJ may play a more domain-general role in the process of contextual updating, acting on changing expectations after unexpected events (Geng and Vossel, 2013; Mengotti et al., 2017).”
Darda, K. M., Butler, E. E., & Ramsey, R. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01261 · Cited by 30 · see citing works
Self-citationTPJ-M1 interaction in the control of shared representations: New insights from tDCS and TMS combined
Bardi, L., Gheza, D., & Braß, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.050 · Cited by 28 · see citing works
An introduction to the imitative mind and brain
Prinz, W., & Meltzoff, A. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511489969.001 · Cited by 21 · cited 1× · see citing works
“In the last two decades, automatic imitation has been widely studied with an attempt to interconnect different disciplines like cognitive science, social psychology, evolutionary biology, and cognitive neuroscience (Prinz and Meltzoff, 2002; Bargh and Chartrand, 1999; Byrne and Russon, 1998).”
The effect of observed biological and non biological movements on action imitation: An fMRI study
Crescentini, C., Mengotti, P., Grecucci, A., & Rumiati, R. I. (2011) · Brain Research · doi:10.1016/j.brainres.2011.08.077 · Cited by 21 · see citing works
Cross, K. A., & Iacoboni, M. (2011) · Human Brain Mapping · doi:10.1002/hbm.21428 · Cited by 15 · see citing works
Binney, R. J., & Ramsey, R. (2019) · doi:10.31234/osf.io/36tm5 · Cited by 13 · see citing works
Self-citationThe brain's intention to imitate: The neurobiology of intentional versus automatic imitation
Bien, N., Roebroeck, A. F., Goebel, R., & Sack, A. T. (2008) · Brain stimulation · doi:10.1016/j.brs.2008.06.178 · Cited by 13 · see citing works
In Praise of a Model but Not Its Conclusions: Commentary on Cooper, Catmur, and Heyes (2012)
Bertenthal, B. I., & Scheutz, M. J. (2013) · Cognitive Science · doi:10.1111/cogs.12039 · Cited by 11 · see citing works
Darda, K. M., Butler, E. E., & Ramsey, R. (2018) · doi:10.31234/osf.io/rvh56 · Cited by 4 · see citing works
Self-citationAdaptation studies suggest interactive feedback shapes responses in occipitotemporal regions
Ewbank, M. (2011) · Cognitive Neuroscience · doi:10.1080/17588928.2011.604719 · Cited by 1 · see citing works
Self-citationGowen, E., Bolton, E., & Poliakoff, E. (2017) · Cognition · doi:10.1016/j.cognition.2017.04.010
Flagged first, then by citations
Research works printed but not linked: 1
- 1987, Advances in psychology, 45, 235
Cited by
Sorted by citations
Schurz, M., Raduà, J., Tholen, M. G., Maliske, L., Margulies, D. S., Mars, R. B., Sallet, J., & Kanske, P. (2020) · Psychological Bulletin · doi:10.1037/bul0000303 · Cited by 642 · see citing works
“Footnotes: 1 For exploratory purposes, we show an uncorrected map of the meta-analysis results by Darda and Ramsey (2019).”
BackgroundMethodMirror neurons 30 years later: implications and applications
Bonini, L., Rotunno, C., Arcuri, E., & Gallese, V. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.06.003 · Cited by 332 · see citing works
“However, when subjects witness another’s action, they have a variety of options that are known to recruit the main nodes of the human MN network: (i) faithfully imitating or emulating the observed action [53], (ii) avoiding doing so [54], or (iii) executing a complementary [55] or alternative [56] action.”
The Role of the Temporoparietal Junction in Self-Other Distinction
Quesque, F., & Braß, M. (2019) · Brain Topography · doi:10.1007/s10548-019-00737-5 · Cited by 136 · see citing works
“The brain network associated with the control of automatic imitation has however been questioned in a recent meta-analysis (Darda and Ramsey 2019).”
MethodSchurz, M., Maliske, L., & Kanske, P. (2020) · Cortex · doi:10.1016/j.cortex.2020.05.006 · Cited by 99 · see citing works
Diveica, V., Koldewyn, K., & Binney, R. J. (2020) · bioRxiv · doi:10.1101/2021.04.01.437961 · Cited by 68
“, 2010), inhibition of automatic imitation 41 (Darda and Ramsey, 2019) and mental state inference or theory of mind (ToM) (e.”
BackgroundA review of theories and methods in the science of face-to-face social interaction
Hadley, L. V., Naylor, G., & Hamilton, A. F. D. C. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-021-00008-w · Cited by 61 · see citing works
Qureshi, A., Monk, R. L., Samson, D., & Apperly, I. A. (2019) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01656-z · Cited by 62 · see citing works
Ramsey, R., & Ward, R. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620904972 · Cited by 39 · see citing works
Self-citationArioli, M., Cattaneo, Z., Parimbelli, S., & Canessa, N. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad003 · Cited by 33 · see citing works
“…by carefully examining both the studies quoting, and those quoted by, each of these papers, alongside previously published meta-analyses on the neural bases of action observation processing (Cracco et al., 2018; Arioli and Canessa, 2019; Darda and Ramsey, 2019; Deschrijver and Palmer, 2020).”
BackgroundResultInfluentialTurrini, S., Fiori, F., Bevacqua, N., Saracini, C., Lucero, B. A., Candidi, M., & Avenanti, A. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2404925121 · Cited by 21 · see citing works
Individual differences in social and non-social cognitive control
Darda, K. M., Butler, E. E., & Ramsey, R. (2020) · Cognition · doi:10.1016/j.cognition.2020.104317 · Cited by 26 · see citing works
Self-citationBalgova, E., Diveica, V., Jackson, R., & Binney, R. J. (2024) · bioRxiv · doi:10.1101/2023.08.16.553506 · Cited by 17
Training self-other distinction facilitates perspective taking in young children.
Kampis, D., Lukowski-Duplessy, H., Askitis, D., et al. (2021) · Child Development · doi:10.31234/osf.io/dyb2x · Cited by 12
“…instead that there is more evidence for recruitment of brain regions traditionally involved in domain-general inhibitory con-trol in imitation inhibition (Darda & Ramsey, 2019), below we consider an alternative explanation for the relation between imitation-inhibition and Director task performance.”
BackgroundBukowski, H., Todorova, B., Boch, M., Silani, G., & Lamm, C. (2020) · Acta Psychologica · doi:10.31234/osf.io/m2qwj · Cited by 3 · see citing works
Lingnau, A., & Downing, P. E. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009386630 · Cited by 13 · see citing works
Conditional effects of gaze on automatic imitation: the role of autistic traits
Trilla, I., Wnendt, H., & Dziobek, I. (2020) · Scientific Reports · doi:10.1038/s41598-020-72513-6 · Cited by 9 · see citing works
Comparing self–other distinction across motor, cognitive and affective domains
Pronizius, E., Bukowski, H., & Lamm, C. (2024) · Royal Society Open Science · doi:10.1098/rsos.240662 · Cited by 10 · see citing works
“Recent meta-analyses, including fMRI studies [13,41], supported the generalist view, according to which this paradigm involves general processes to a greater extent than aspects specialized for social cognition.”
BackgroundResultLópez-Barroso, D., Paredes-Pacheco, J., Torres-Prioris, M. J., Dávila, G., & Berthier, M. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02655-6 · Cited by 7 · see citing works
“2017; Darda and Ramsey 2019).”
Qureshi, A., Bretherton, L., Marsh, B., & Monk, R. L. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00786-5 · Cited by 8 · see citing works
Czekóová, K., Shaw, D. J., Lamoš, M., Špiláková, B., Salazar, M., & Brázdil, M. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00860-y · Cited by 7 · see citing works
“For this reason, the past decade has seen a surge of research into the cognitive processes and associated brain systems underlying our tendency to imitate others, and its relationship with other aspects of social behaviour and cognition (for reviews see Cracco et al., 2018; Darda & Ramsey, 2019).”
BackgroundResultInfluentialAutomatic imitation in youngsters with Gilles de la Tourette syndrome: A behavioral study
Quadrelli, E., Bartoli, B., Bolognini, N., Cavanna, A. E., Zibordi, F., Nardocci, N., Turati, C., & Termine, C. (2021) · Child Neuropsychology · doi:10.1080/09297049.2021.1892050 · Cited by 7 · see citing works
“In many situations, imitation can be maladaptive, and it is essential to avoid the tendency to automatically imitate others (Cross & Iacoboni, 2014; Darda & Ramsey, 2019).”
BackgroundHow self-other control determines individual differences in adolescents’ theory of mind
Wang, X., Su, Y., Pei, M., & Hong, M. (2021) · Cognitive Development · doi:10.1016/j.cogdev.2021.101007 · Cited by 4 · see citing works
Validation of an online imitation-inhibition task
Westfal, M., Cracco, E., Crusius, J., & Genschow, O. (2025) · Behavior Research Methods · doi:10.3758/s13428-024-02557-3 · Cited by 4 · see citing works
“…al., 2022), cognitive (e.g., Brass et al., 2000; Cracco et al., 2015; Genschow et al., 2017), developmental (e.g., Simpson & Riggs, 2011), and neuro-(e.g., Darda & Ramsey, 2019; Hogeveen et al., 2015) and personality psychology (e.g., Hogeveen & Obhi, 2013; Obhi et al., 2013; Westfal et al., 2021).”
Mew, B. G., Custovic, D., Soreq, E., Lorenz, R., Violante, I. R., Sandrone, S., & Hampshire, A. (2025) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2025.109236 · Cited by 1 · see citing works
Riva, F., Pronizius, E., Lenger, M., Kronbichler, M., Silani, G., & Lamm, C. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad034 · Cited by 1 · see citing works
Czekóová, K., Shaw, D. J., Lamoš, M., Špiláková, B., Salazar, M., Román, R., & Brázdil, M. (2022) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12824 · Cited by 1 · see citing works
Observing errors in a combination of error and correct models favors observational motor learning
Tang, Z., Oouchida, Y., Wang, M., Dou, Z., & Izumi, S. (2022) · BMC Neuroscience · doi:10.1186/s12868-021-00685-6 · Cited by 3 · see citing works
“If the participant identified the same errors, these errors would be inhibited [27, 36].”
BackgroundAutomatic imitation towards robots is not influenced by the intentional stance
Galang, C. M., Hassanein, K., & Head, M. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107366
Wingenbach, T. S. H., Missura, S., Peyk, P., & Pfaltz, M. C. (2026) · Motivation and Emotion · doi:10.1007/s11031-026-10228-3
“Automatic imitation control is suggested to be based on domain-general neural circuit recruitment and appears to be related to many cognitive tasks rather than being specific to social cognition (meta-analysis by Darda & Ramsey, 2019).”
The efficacy of picture vs. word danger cues in reducing imitation of dangerous actions in children
Dong, S., Zhao, L., Bian, Z., & Wang, Y. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1402021
“Darda and Ramsey (2019) conducted a meta-analysis indicated that the control of automatic imitation is guided by brain regions in the multiple demand network including dorsolateral frontoparietal cortex This result supported the role of domain-general control mechanisms in regulating the tendency…”
BackgroundVisible skin disease symptoms of another person reduce automatic imitation of their hand movements
Aulbach, M. B., Harjunen, V. J., & Spapé, M. (2022) · Psychological Research · doi:10.1007/s00426-022-01731-6 · Cited by 1 · see citing works
“…3 needs to be engaged on incongruent trials) mainly engages domain-general control regions that are also involved in other tasks of cognitive control, indicating that social cognition might play a relatively minor or indirect role in this suppression of dominant responses (Darda & Ramsey, 2019).”
BackgroundImplicit agency is related to gamma power changes in an automatic imitation taskPreprint
Ulloa, J. L., Vastano, R., Jensen, O. B., & Braß, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.28.448528
Mapping the common and distinct neural correlates of visual, rule and motor conflictPreprint
Mew, B. G., Custovic, D., Soreq, E., Lorenz, R., Violante, I. R., Sandrone, S., & Hampshire, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.19.388231
“Representative examples include tasks that tap processes related to conflict resolution such as response inhibition (Darda and Ramsey, 2019; Erika-Florence, 2014; Hampshire et al., 2010; Li et al., 2006), and switching (Cools et al., 2002; Daws et al., 2020; Dove et al., 2000; Hampshire and Owen,…”
Background
- Authors
- Darda, K. M., & Ramsey, R.
- Venue
- bioRxiv
- Publisher
- openRxiv
- Published
- 2018-05-30
- Semantic Scholar
- fc4cca7d783787c988bada0808caaad946084fe7
- References
- 95
- Type
- Preprint
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-08.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-08.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
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