001     8963
005     20210129210453.0
024 7 _ |2 pmid
|a pmid:20056149
024 7 _ |2 DOI
|a 10.1016/j.neuroimage.2009.12.112
024 7 _ |2 WOS
|a WOS:000275408200029
024 7 _ |a altmetric:239539
|2 altmetric
037 _ _ |a PreJuSER-8963
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-Juel1)VDB53458
|a Caspers, S.
|b 0
|u FZJ
245 _ _ |a ALE meta-analysis of action observation and imitation in the human brain
260 _ _ |a Orlando, Fla.
|b Academic Press
|c 2010
300 _ _ |a 1148 - 1167
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |2 DRIVER
|a article
440 _ 0 |0 4545
|a NeuroImage
|v 50
|x 1053-8119
|y 3
500 _ _ |a This Human Brain Project/Neuroinformatics Research was funded by the National Institute of Biomedical Imaging and Bioengineering, the National Institute of Neurological Disorders and Stroke and the National Institute of Mental Health. Further funding was granted by the Human Brain Project (R01-MH074457-01A1; S.B.E., A.R.L.), the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (Human Brain Model: K.Z., S.B.E.), and the Helmholtz Alliance for Mental Health in an Aging Society (HelMA; KZ).
520 _ _ |a Over the last decade, many neuroimaging studies have assessed the human brain networks underlying action observation and imitation using a variety of tasks and paradigms. Nevertheless, questions concerning which areas consistently contribute to these networks irrespective of the particular experimental design and how such processing may be lateralized remain unresolved. The current study aimed at identifying cortical areas consistently involved in action observation and imitation by combining activation likelihood estimation (ALE) meta-analysis with probabilistic cytoarchitectonic maps. Meta-analysis of 139 functional magnetic resonance and positron emission tomography experiments revealed a bilateral network for both action observation and imitation. Additional subanalyses for different effectors within each network revealed highly comparable activation patterns to the overall analyses on observation and imitation, respectively, indicating an independence of these findings from potential confounds. Conjunction analysis of action observation and imitation meta-analyses revealed a bilateral network within frontal premotor, parietal, and temporo-occipital cortex. The most consistently rostral inferior parietal area was PFt, providing evidence for a possible homology of this region to macaque area PF. The observation and imitation networks differed particularly with respect to the involvement of Broca's area: whereas both networks involved a caudo-dorsal part of BA 44, activation during observation was most consistent in a more rostro-dorsal location, i.e., dorsal BA 45, while activation during imitation was most consistent in a more ventro-caudal aspect, i.e., caudal BA 44. The present meta-analysis thus summarizes and amends previous descriptions of the human brain networks related to action observation and imitation.
536 _ _ |0 G:(DE-Juel1)FUEK409
|2 G:(DE-HGF)
|x 0
|c FUEK409
|a Funktion und Dysfunktion des Nervensystems (FUEK409)
536 _ _ |0 G:(DE-HGF)POF2-89571
|a 89571 - Connectivity and Activity (POF2-89571)
|c POF2-89571
|f POF II T
|x 1
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Algorithms
650 _ 2 |2 MeSH
|a Brain: physiology
650 _ 2 |2 MeSH
|a Brain: radionuclide imaging
650 _ 2 |2 MeSH
|a Brain Mapping
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Imitative Behavior: physiology
650 _ 2 |2 MeSH
|a Likelihood Functions
650 _ 2 |2 MeSH
|a Magnetic Resonance Imaging
650 _ 2 |2 MeSH
|a Motion Perception: physiology
650 _ 2 |2 MeSH
|a Motor Activity
650 _ 2 |2 MeSH
|a Neural Pathways: physiology
650 _ 2 |2 MeSH
|a Neural Pathways: radionuclide imaging
650 _ 2 |2 MeSH
|a Positron-Emission Tomography
650 _ 2 |2 MeSH
|a Probability
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a Action observation
653 2 0 |2 Author
|a Imitation
653 2 0 |2 Author
|a Inferior parietal
653 2 0 |2 Author
|a Meta-analysis
653 2 0 |2 Author
|a Mirror neurons
700 1 _ |0 P:(DE-Juel1)131714
|a Zilles, K.
|b 1
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Laird, A.R.
|b 2
700 1 _ |0 P:(DE-Juel1)131678
|a Eickhoff, S. B.
|b 3
|u FZJ
773 _ _ |0 PERI:(DE-600)1471418-8
|a 10.1016/j.neuroimage.2009.12.112
|g Vol. 50, p. 1148 - 1167
|p 1148 - 1167
|q 50<1148 - 1167
|t NeuroImage
|v 50
|x 1053-8119
|y 2010
856 7 _ |u http://dx.doi.org/10.1016/j.neuroimage.2009.12.112
909 C O |o oai:juser.fz-juelich.de:8963
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|l Decoding the Human Brain
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914 1 _ |y 2010
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |0 I:(DE-Juel1)INM-2-20090406
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920 1 _ |0 I:(DE-82)080010_20140620
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