2019
DOI: 10.31234/osf.io/wkcun
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

The topographical organization of motor processing: An ALE meta-analysis on six action domains and the relevance of Broca’s region

Abstract: Action is a cover term used to refer to a large set of motor processes differing in domain specificities (e.g. execution or observation). Here we review neuroimaging evidence on action processing (N = 416; Subjects = 5912) using quantitative Activation Likelihood Estimation (ALE) and Meta-Analytic Connectivity Modelling (MACM) approaches to delineate the functional specificities of six domains: (1) Action Execution, (2) Action Imitation, (3) Motor Imagery, (4) Action Observation, (5) Motor Learning, (6) Motor … Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
8
0
1

Year Published

2020
2020
2021
2021

Publication Types

Select...
4
3

Relationship

2
5

Authors

Journals

citations
Cited by 9 publications
(10 citation statements)
references
References 194 publications
(306 reference statements)
1
8
0
1
Order By: Relevance
“…This suggests that these regions do not process stimulus properties or aspects of manual, facial, and bodily gestures but are specifically recruited by deaf signers for attributing linguistic information to the observed gestures. Convergence in right IFG, parts of right STG, bilateral insula cortex, as well as bilateral occipital and posterior middle and inferior temporal gyrus was also observed during observation of SLA in hearing nonsigners, indicating that these regions subserve perceptual as well as other nonlinguistic processes involved in action observation (Papitto et al, 2020). Interestingly, such a functional specialization of the left hemisphere and especially the left IFG for processing abstract linguistic information has also been reported in studies of the comprehension of conventionalized symbolic gesture by hearing nonsigners (Özyürek, 2014; Xu, Gannon, Emmorey, Smith, & Braun, 2009), thereby hinting at the supramodal nature of the brain's core network for language processing independent of stimulus properties.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This suggests that these regions do not process stimulus properties or aspects of manual, facial, and bodily gestures but are specifically recruited by deaf signers for attributing linguistic information to the observed gestures. Convergence in right IFG, parts of right STG, bilateral insula cortex, as well as bilateral occipital and posterior middle and inferior temporal gyrus was also observed during observation of SLA in hearing nonsigners, indicating that these regions subserve perceptual as well as other nonlinguistic processes involved in action observation (Papitto et al, 2020). Interestingly, such a functional specialization of the left hemisphere and especially the left IFG for processing abstract linguistic information has also been reported in studies of the comprehension of conventionalized symbolic gesture by hearing nonsigners (Özyürek, 2014; Xu, Gannon, Emmorey, Smith, & Braun, 2009), thereby hinting at the supramodal nature of the brain's core network for language processing independent of stimulus properties.…”
Section: Discussionmentioning
confidence: 99%
“…In this analysis, we tested the SLA observation dataset derived from an independent meta‐analysis (Papitto, Friederici, & Zaccarella, 2020), as described in Appendix A. Here, we sought to determine brain regions recruited in (hearing) subjects during processing of visual stimuli showing humans performing manual and facial actions devoid of linguistic content.…”
Section: Methodsmentioning
confidence: 99%
“…The MNI coordinates for BA44 were defined according to the results of Zaccarella and Friederici (2015), who found increased activation for phrases compared to word lists in this region. This target is located in the most anterior and ventral part of BA44, which is functionally specialized in syntactic computations (Papitto et al, 2020;Zaccarella et al, 2021).…”
Section: Transcranial Magnetic Stimulation (Tms)mentioning
confidence: 99%
“…This algorithm, using input foci (e.g., brain coordinates) from multiple experiments, allows to identify significant convergence among reported coordinates in experiments that is higher than expected from a random distribution of foci (for further details on the ALE method please refer to the original publications of Eickhoff et al, 2012;Eickhoff et al, 2009;and Turkeltaub et al, 2012;Tahmasian et al, 2019). For each ALE calculation, significance was tested using 1000 permutations with a cluster forming threshold at voxel-level p < 0.001 (Eickhoff et al, 2016), and to provide an appropriate compromise between sensitivity and specificity, significance was corrected with a cluster-level family-wise error threshold of p < 0.05 (cFWE; Eickhoff et al, 2016), as in previous meta-analytic studies (Papitto et al, 2020;Teghil et al, 2019).…”
Section: Activation Likelihood Estimation Meta-analysis and Systematimentioning
confidence: 99%