001     5152
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024 7 _ |2 pmid
|a pmid:19398017
024 7 _ |2 DOI
|a 10.1016/j.neuroimage.2009.04.065
024 7 _ |2 WOS
|a WOS:000267756900027
037 _ _ |a PreJuSER-5152
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 Jakobs, O.
|b 0
245 _ _ |a Effects of timing and movement uncertainty implicate the temporo-parietal junction in the prediction of forthcoming motor actions
260 _ _ |a Orlando, Fla.
|b Academic Press
|c 2009
300 _ _ |a 667 -677
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 47
|x 1053-8119
|y 2
500 _ _ |a K.Z. acknowledges funding partly by the Deutsche Forschungsgemeinschaft (KFO-112) and partly by the Human Brain Project/Neuroinformatics Research by the National Institute of Biomedical Imaging and Bioengineering, the National Institute of Neurological Disorders and Stroke and the National Institute of Mental Health. SBE is supported by the Human Brain Project (R01-MH074457-01A1).
520 _ _ |a The concept of predictive coding supposes the brain to build predictions of forthcoming events in order to decrease the computational load, thereby facilitating efficient reactions. In contrast, increasing uncertainty, i.e., lower predictability, should increase reaction time and neural activity due to reactive processing and believe updating. We used functional magnetic resonance imaging (fMRI) to scan subjects reacting to briefly presented arrows pointing to either side by pressing a button with the corresponding index finger. Predictability of these stimuli was manipulated along the independently varied factors "response type" (known hand or random, i.e., unknown order) and "timing" (fixed or variable intervals between stimuli). Behavioural data showed a significant reaction-time advantage when either factor was predictable, confirming the hypothesised reduction in computational load. On the neural level, only the right temporo-parietal junction showed enhanced activation upon both increased task and timing uncertainty. Moreover, activity in this region also positively correlated with reaction time. There was, however, a dissociation between both factors in the frontal lobe, as increased timing uncertainty recruited right BA 44, whereas increased response uncertainty activated the right ventral premotor cortex, the pre-SMA and the DLPFC. In line with the theoretical framework of predictive coding as a load-saving mechanism no brain region showed significantly increased activity in the lower uncertainty conditions or correlated negatively with reaction times. This study hence provided behavioural and neuroimaging evidence for predictive motor coding and points to a key role of the right temporo-parietal junction in its implementation.
536 _ _ |0 G:(DE-Juel1)FUEK409
|2 G:(DE-HGF)
|a Funktion und Dysfunktion des Nervensystems
|c P33
|x 0
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Adult
650 _ 2 |2 MeSH
|a Evoked Potentials: physiology
650 _ 2 |2 MeSH
|a Female
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Male
650 _ 2 |2 MeSH
|a Middle Aged
650 _ 2 |2 MeSH
|a Movement: physiology
650 _ 2 |2 MeSH
|a Parietal Lobe: physiology
650 _ 2 |2 MeSH
|a Psychomotor Performance: physiology
650 _ 2 |2 MeSH
|a Reaction Time: physiology
650 _ 2 |2 MeSH
|a Temporal Lobe: physiology
650 _ 2 |2 MeSH
|a Young Adult
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a fMRI
653 2 0 |2 Author
|a Reaction time
653 2 0 |2 Author
|a Parietal
653 2 0 |2 Author
|a Frontal
653 2 0 |2 Author
|a Hand
653 2 0 |2 Author
|a Movement
700 1 _ |0 P:(DE-Juel1)VDB75806
|a Wang, L.E.
|b 1
|u FZJ
700 1 _ |0 P:(DE-Juel1)VDB58058
|a Dafotakis, M.
|b 2
|u FZJ
700 1 _ |0 P:(DE-Juel1)VDB500
|a Grefkes, C.
|b 3
|u FZJ
700 1 _ |0 P:(DE-Juel1)131714
|a Zilles, K.
|b 4
|u FZJ
700 1 _ |0 P:(DE-Juel1)131678
|a Eickhoff, S. B.
|b 5
|u FZJ
773 _ _ |0 PERI:(DE-600)1471418-8
|a 10.1016/j.neuroimage.2009.04.065
|g Vol. 47, p. 667 -677
|p 667 -677
|q 47<667 -677
|t NeuroImage
|v 47
|x 1053-8119
|y 2009
856 7 _ |u http://dx.doi.org/10.1016/j.neuroimage.2009.04.065
909 C O |o oai:juser.fz-juelich.de:5152
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914 1 _ |y 2009
915 _ _ |0 StatID:(DE-HGF)0010
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