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001     12583
005     20210129210555.0
024 7 _ |2 pmid
|a pmid:21391275
024 7 _ |2 DOI
|a 10.1002/hbm.21222
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|a WOS:000299071200014
037 _ _ |a PreJuSER-12583
041 _ _ |a eng
082 _ _ |a 610
084 _ _ |2 WoS
|a Neurosciences
084 _ _ |2 WoS
|a Neuroimaging
084 _ _ |2 WoS
|a Radiology, Nuclear Medicine & Medical Imaging
100 1 _ |0 P:(DE-HGF)0
|a Grosbras, M.H.
|b 0
245 _ _ |a Brain regions involved in human movement perception: a quantitative voxel-based meta-analysis
260 _ _ |a New York, NY
|b Wiley-Liss
|c 2012
300 _ _ |a 431 - 454
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|a Journal Article
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|a Journal Article
336 7 _ |2 BibTeX
|a ARTICLE
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336 7 _ |2 DRIVER
|a article
440 _ 0 |0 2398
|a Human Brain Mapping
|v 33
|x 1065-9471
|y 2
500 _ _ |a Contract grant sponsor: UK ESRC and MRC and an ESRC studentship; Contract grant number: RES-060-25-0010; Contract grant sponsor: NIH; Contract grant number: R01-MH074457-01A1; Contract grant sponsor: The Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology and the DFG; Contract grant number: IRTG 1328.
520 _ _ |a Face, hands, and body movements are powerful signals essential for social interactions. In the last 2 decades, a large number of brain imaging studies have explored the neural correlates of the perception of these signals. Formal synthesis is crucially needed, however, to extract the key circuits involved in human motion perception across the variety of paradigms and stimuli that have been used. Here, we used the activation likelihood estimation (ALE) meta-analysis approach with random effect analysis. We performed meta-analyses on three classes of biological motion: movement of the whole body, hands, and face. Additional analyses of studies of static faces or body stimuli and sub-analyses grouping experiments as a function of their control stimuli or task employed allowed us to identify main effects of movements and forms perception, as well as effects of task demand. In addition to specific features, all conditions showed convergence in occipito-temporal and fronto-parietal regions, but with different peak location and extent. The conjunction of the three ALE maps revealed convergence in all categories in a region of the right posterior superior temporal sulcus as well as in a bilateral region at the junction between middle temporal and lateral occipital gyri. Activation in these regions was not a function of attentional demand and was significant also when controlling for non-specific motion perception. This quantitative synthesis points towards a special role for posterior superior temporal sulcus for integrating human movement percept, and supports a specific representation for body parts in middle temporal, fusiform, precentral, and parietal areas.
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588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Brain: physiology
650 _ 2 |2 MeSH
|a Brain Mapping
650 _ 2 |2 MeSH
|a Face
650 _ 2 |2 MeSH
|a Hand
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Motion Perception: physiology
650 _ 2 |2 MeSH
|a Task Performance and Analysis
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a FMRI
653 2 0 |2 Author
|a human motion
653 2 0 |2 Author
|a action observation
653 2 0 |2 Author
|a superior temporal sulcus
653 2 0 |2 Author
|a premotor cortex
653 2 0 |2 Author
|a inferior frontal gyrus
653 2 0 |2 Author
|a mirror neurons
653 2 0 |2 Author
|a social cognition
700 1 _ |0 P:(DE-HGF)0
|a Beaton, S.
|b 1
700 1 _ |0 P:(DE-Juel1)131678
|a Eickhoff, S. B.
|b 2
|u FZJ
773 _ _ |0 PERI:(DE-600)1492703-2
|a 10.1002/hbm.21222
|g Vol. 33, p. 431 - 454
|p 431 - 454
|q 33<431 - 454
|t Human brain mapping
|v 33
|x 1065-9471
|y 2012
856 7 _ |u http://dx.doi.org/10.1002/hbm.21222
909 C O |o oai:juser.fz-juelich.de:12583
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