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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
V. Onofrj, AM. Chiarelli, R. Wise, C. Colosimo, M. Caulo
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články
NLK
ProQuest Central
od 2007-07-01 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2007-07-01 do Před 1 rokem
Nursing & Allied Health Database (ProQuest)
od 2007-07-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 2007-07-01 do Před 1 rokem
Psychology Database (ProQuest)
od 1997-01-01 do Před 1 rokem
- MeSH
- default mode network * MeSH
- gestační stáří MeSH
- kojenec MeSH
- lidé MeSH
- magnetická rezonanční tomografie MeSH
- mapování mozku * MeSH
- mozek diagnostické zobrazování MeSH
- nervová síť diagnostické zobrazování MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- Check Tag
- kojenec MeSH
- lidé MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- Publikační typ
- časopisecké články MeSH
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.
Citace poskytuje Crossref.org
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- $a Onofrj, Valeria $u Department of Medical Imaging, Cliniques Universitaires Saint-Luc, Brussels, Belgium. valeria.onofrj@gmail.com $u Department of Radiology and Neuroradiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Via della Pineta Sacchetti, 217, 00168, Rome, Italy. valeria.onofrj@gmail.com $u Faculty of Medicine, Masaryk University, Brno, Czech Republic. valeria.onofrj@gmail.com $1 https://orcid.org/0000000311707282
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- $a 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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- $a Chiarelli, Antonio Maria $u Department of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Technologies (ITAB), The University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy
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