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Erschienen in: Brain Structure and Function 5/2022

14.03.2022 | Original Article

Interaction of the salience network, ventral attention network, dorsal attention network and default mode network in neonates and early development of the bottom-up attention system

verfasst von: Valeria Onofrj, Antonio Maria Chiarelli, Richard Wise, Cesare Colosimo, Massimo Caulo

Erschienen in: Brain Structure and Function | Ausgabe 5/2022

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Abstract

The salience network (SN), ventral attention network (VAN), dorsal attention network (DAN) and default mode network (DMN) have shown significant interactions and overlapping functions in bottom-up and top-down mechanisms of attention. In the present study, we tested if the SN, VAN, DAN and DMN connectivity can infer the gestational age (GA) at birth in a study group of 88 healthy neonates, scanned at 40 weeks of post-menstrual age, and with GA at birth ranging from 28 to 40 weeks. We also ascertained whether the connectivity within each of the SN, VAN, DAN and DMN was able to infer the average functional connectivity of the others. The ability to infer GA at birth or another network's connectivity was evaluated using a multivariate data-driven framework. The VAN, DAN and the DMN inferred the GA at birth (p < 0.05). The SN, DMN and VAN were able to infer the average connectivity of the other networks (p < 0.05). Mediation analysis between VAN’s and DAN’s inference on GA at birth found reciprocal transmittance of change with GA at birth of VAN’s and DAN’s connectivity (p < 0.05). Our findings suggest that the VAN has a prominent role in bottom-up salience detection in early infancy and that the role of the VAN and the SN may overlap in the bottom-up control of attention.
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Metadaten
Titel
Interaction of the salience network, ventral attention network, dorsal attention network and default mode network in neonates and early development of the bottom-up attention system
verfasst von
Valeria Onofrj
Antonio Maria Chiarelli
Richard Wise
Cesare Colosimo
Massimo Caulo
Publikationsdatum
14.03.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Brain Structure and Function / Ausgabe 5/2022
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-022-02477-y

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