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. 2025 May 1;35(5):bhaf103.
doi: 10.1093/cercor/bhaf103.

Intensive task-switching training and single-task training differentially affect behavioral and neural manifestations of cognitive control in children

Affiliations

Intensive task-switching training and single-task training differentially affect behavioral and neural manifestations of cognitive control in children

Sina A Schwarze et al. Cereb Cortex. .

Abstract

The ability to flexibly switch between tasks develops during childhood. Children's task-switching performance improves with practice, but the underlying processes remain unclear. We used functional magnetic resonance imaging to examine how 9 weeks of task-switching training affect performance and task-related activation and functional connectivity. Children (8-11 years) were assigned to one of three groups: intensive task switching (SW; n = 72), intensive single tasking (SI; n = 74), and passive control (n = 41). While mixing costs decreased in both training groups initially, only the SW group maintained these training-related improvements at the end of training. Activation in the dorsolateral prefrontal cortex decreased with training, but again only the SW group maintained these activation decreases at the end of training. Condition-specific connectivity increases with task switching became less pronounced with training, especially in the SI group. Lower costs of task switching along with decreased task-related activations suggest increased processing efficiency in frontoparietal regions with training. Intensive task-switching training was associated with sustained changes, possibly facilitated by a greater mismatch between processing supplies and environmental demands. Our findings suggest that experience-dependent changes with intensive task-switching training do not mirror maturational processes but rather facilitate performance via more efficient task processing.

Keywords: child development; cognitive training; prefrontal cortex; task switching.

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Figures

Fig. 1
Fig. 1
Outline of study design and experimental task-switching paradigm. (A) The timeline of training and assessment across the nine weeks for the three groups. fMRI or simulator indicates that the main task-switching paradigm (see B and C) was performed in the MRI scanner or MRI simulator, sMRI indicates structural MRI scans only. The colored bars indicate the training games: Opaque colored bars indicate one of the three repeating games and translucent bars indicate one of the unique games, with the color indicating which of the repeating tasks matched the structure of the unique task. (B) The task-switching paradigm that all groups completed in the fMRI scanner or simulator. The shape cue indicated one of the three tasks. As indicated by three exemplar stimuli of each task, participants selected one of the three buttons based on the face’s age in the face task, the type of environment in the scene task, and the color of the object in the object task. (C) Showing three sequential trials of the single and mixed blocks; in the single block depicted here, participants performed the scene task on every trial. In the mixed task, the shape cues (and therefore tasks) repeated on some trials and switched on others. ITI: Inter-trial interval. Image credits: Young and old adult FACES were taken from the FACES collection (Ebner et al. 2010). B & C: Adapted from Schwarze et al. (2023)Fig. 1, under CC.BY 4.0.
Fig. 2
Fig. 2
Training-related changes in performance. Accuracy (A) and RTs (B) for each of the three conditions: single trials (dot-dashed line), repeat trials (solid line), and switch trials (dashed line). The SI group is shown in red, the SI group in blue, and the PC group in green. Note that the figure shows aggregated data while models were conducted at trial level. Error bars denote 95%-confidence intervals.
Fig. 3
Fig. 3
Training-related changes in activation and connectivity associated with mixing costs. (A) Brain regions showing greater activation on repeat than on single trials at session A across all children (n = 89; P < 0.001, FDR-cluster corrected P < 0.05). (B) Change in activation for each ROI. (C) Change in connectivity (i.e., PPI parameters across all connections) among these ROIs. The SW group is shown in blue, the SI group is shown in red, and the PC group is shown in green (for sessions A and D only). Error bars denote 95%-confidence intervals.
Fig. 4
Fig. 4
Training-related changes in activation and connectivity associated with switch costs. (A) Brain regions showing greater activation on switch than on repeat trials at session A across all children (n = 89; P < 0.001, FDR-cluster corrected P < 0.05). (B) Change in activation for each ROI. (C) Change in connectivity (i.e., PPI parameters across all connections) among these ROIs. The SW group is shown in blue, the SI group in red, and the PC group in green (for sessions A and D only). Error bars denote 95%-confidence intervals.

References

    1. Allport DA, Styles EA, Hsieh S. 1994. Shifting intentional set: Exploring the dynamic control of tasks. In: Attention and performance 15: conscious and nonconscious information processing Umiltà C, Moscovitch M (eds), Vol. 15. MIT Press, pp 421–452.
    1. Astle DE, Barnes JJ, Baker K, Colclough GL, Woolrich MW. 2015. Cognitive training enhances intrinsic brain connectivity in childhood. J Neurosci. 35:6277–6283. 10.1523/JNEUROSCI.4517-14.2015. - DOI - PMC - PubMed
    1. Barr DJ, Levy R, Scheepers C, Tily HJ. 2013. Random effects structure for confirmatory hypothesis testing: keep it maximal. J Mem Lang. 68:10.1016/j.jml.2012.11.001. 10.1016/j.jml.2012.11.001. - DOI - PMC - PubMed
    1. Bartels C, Wegrzyn M, Wiedl A, Ackermann V, Ehrenreich H. 2010. Practice effects in healthy adults: a longitudinal study on frequent repetitive cognitive testing. BMC Neurosci. 11:118. 10.1186/1471-2202-11-118. - DOI - PMC - PubMed
    1. Baykara E, Könen T, Unger K, Karbach J. 2021. MRI predictors of cognitive training outcomes. J Cogn Enhanc. 5:245–258. 10.1007/s41465-020-00188-y. - DOI

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