Evidence map›Paper›PMID 35284947›Full record

ArticleBrain structure & function2022

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.

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

Abstract read
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In one paragraph

Article in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Valeria OnofrjDepartment of Medical Imaging, Cliniques Universitaires Saint-Luc, Brussels, Belgium. valeria.onofrj@gmail.com.ORCID http://orcid.org/0000-0003-1170-7282
Antonio Maria ChiarelliDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Technologies (ITAB), The University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy.
Richard WiseDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Technologies (ITAB), The University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy.
Cesare ColosimoDepartment of Radiology and Neuroradiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Via della Pineta Sacchetti, 217, 00168, Rome, Italy.
Massimo CauloDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Technologies (ITAB), The University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brain MappingDefault Mode NetworkBrainChild, PreschoolGestational AgeHumansInfantInfant, NewbornMagnetic Resonance ImagingNerve NetBottom-up salience detectionData-driven analysisDefault mode networkDorsal attention networkMediation analysisSalience networkVentral attention network

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.