TY  - JOUR
AU  - Worringer, Britta
AU  - Langner, Robert
AU  - Koch, Iring
AU  - Eickhoff, Simon
AU  - Eickhoff, Claudia
AU  - Binkofski, Ferdinand C.
TI  - Common and distinct neural correlates of dual-tasking and task-switching: a meta-analytic review and a neuro-cognitive processing model of human multitasking
JO  - Brain structure & function
VL  - 224
IS  - 5
SN  - 1863-2661
CY  - Heidelberg
PB  - Springer
M1  - FZJ-2019-02901
SP  - 1845–1869
PY  - 2019
N1  - This study was supported by the Deutsche Forschungsge-meinschaft (LA 3071/3-1 to R.L. and S.B.E.; EI 816/4-1 to S.B.E.), the National Institute of Mental Health (R01-MH074457 to S.B.E.), the Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain” (S.B.E.), and the European Union Seventh Frame-work Programme (FP7/2007-2013) under Grant agreement no. 604102 (S.B.E.).
AB  - Although there are well-known limitations of the human cognitive system in performing two tasks simultaneously (dual-tasking) or alternatingly (task-switching), the question for a common vs. distinct neural basis of these multitasking limitations is still open. We performed two Activation Likelihood Estimation meta-analyses of neuroimaging studies on dual-tasking or task-switching and tested for commonalities and differences in the brain regions associated with either domain. We found a common core network related to multitasking comprising bilateral intraparietal sulcus (IPS), left dorsal premotor cortex (dPMC), and right anterior insula. Meta-analytic contrasts revealed eight fronto-parietal clusters more consistently activated in dual-tasking (bilateral frontal operculum, dPMC, and anterior IPS, left inferior frontal sulcus and left inferior frontal gyrus) and, conversely, four clusters (left inferior frontal junction, posterior IPS, and precuneus as well as frontomedial cortex) more consistently activated in task-switching. Together with sub-analyses of preparation effects in task-switching, our results argue against purely passive structural processing limitations in multitasking. Based on these findings and drawing on current theorizing, we present a neuro-cognitive processing model of multitasking.
LB  - PUB:(DE-HGF)16
C6  - pmid:31037397
UR  - <Go to ISI:>//WOS:000471236200011
DO  - DOI:10.1007/s00429-019-01870-4
UR  - https://juser.fz-juelich.de/record/862645
ER  -