The development of attentional control mechanisms in multisensory environments

Turoman, Nora; Tivadar, Ruxandra I.; Retsa, Chrysa; Maillard, Anne M.; Scerif, Gaia; Matusz, Pawel J. (2021). The development of attentional control mechanisms in multisensory environments. Developmental Cognitive Neuroscience, 48, p. 100930. Elsevier 10.1016/j.dcn.2021.100930

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Outside the laboratory, people need to pay attention to relevant objects that are typically multisensory, but it remains poorly understood how the underlying neurocognitive mechanisms develop. We investigated when adult-like mechanisms controlling one’s attentional selection of visual and multisensory objects emerge across childhood. Five-, 7-, and 9-year-olds were compared with adults in their performance on a computer game-like multisensory spatial cueing task, while 129-channel EEG was simultaneously recorded. Markers of attentional control were behavioural spatial cueing effects and the N2pc ERP component (analysed traditionally and using a multivariate electrical neuroimaging framework). In behaviour, adult-like visual attentional control was present from age 7 onwards, whereas multisensory control was absent in all children groups. In EEG, multivariate analyses of the activity over the N2pc time-window revealed stable brain activity patterns in children. Adult-like visual-attentional control EEG patterns were present age 7 onwards, while multisensory control activity patterns were found in 9-year-olds (albeit behavioural measures showed no effects). By combining rigorous yet naturalistic paradigms with multivariate signal analyses, we demonstrated that visual attentional control seems to reach an adult-like state at ∼7 years, before adult-like multisensory control, emerging at ∼9 years. These results enrich our understanding of how attention in naturalistic settings develops.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Cognitive Computational Neuroscience (CCN)

UniBE Contributor:

Tivadar, Ruxandra-Iolanda

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1878-9293

Publisher:

Elsevier

Language:

English

Submitter:

Athina Tzovara

Date Deposited:

09 Apr 2021 11:36

Last Modified:

05 Dec 2022 15:50

Publisher DOI:

10.1016/j.dcn.2021.100930

PubMed ID:

33561691

BORIS DOI:

10.48350/155289

URI:

https://boris.unibe.ch/id/eprint/155289

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