Looking for "fNIRS Signature" in Autism Spectrum: A Systematic Review Starting From Preschoolers.
autism spectrum disorder
fNIRS
functional neuroimaging
high-risk infant
near-infrared spectroscopy
neurodevelopmental disorders
preschooler
Journal
Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481
Informations de publication
Date de publication:
2022
2022
Historique:
received:
29
09
2021
accepted:
08
02
2022
entrez:
28
3
2022
pubmed:
29
3
2022
medline:
29
3
2022
Statut:
epublish
Résumé
Accumulating evidence suggests that functional Near-Infrared Spectroscopy (fNIRS) can provide an essential bridge between our current understanding of neural circuit organization and cortical activity in the developing brain. Indeed, fNIRS allows studying brain functions through the measurement of neurovascular coupling that links neural activity to subsequent changes in cerebral blood flow and hemoglobin oxygenation levels. While the literature offers a multitude of fNIRS applications to typical development, only recently this tool has been extended to the study of neurodevelopmental disorders (NDDs). The exponential rise of scientific publications on this topic during the last years reflects the interest to identify a "fNIRS signature" as a biomarker of high translational value to support both early clinical diagnosis and treatment outcome. The purpose of this systematic review is to describe the updating clinical applications of fNIRS in NDDs, with a specific focus on preschool population. Starting from this rationale, a systematic search was conducted for relevant studies in different scientific databases (Pubmed, Scopus, and Web of Science) resulting in 13 published articles. In these studies, fNIRS was applied in individuals with Autism Spectrum Disorder (ASD) or infants at high risk of developing ASD. Both functional connectivity in resting-state conditions and task-evoked brain activation using multiple experimental paradigms were used in the selected investigations, suggesting that fNIRS might be considered a promising method for identifying early quantitative biomarkers in the autism field.
Identifiants
pubmed: 35341016
doi: 10.3389/fnins.2022.785993
pmc: PMC8948464
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
785993Informations de copyright
Copyright © 2022 Conti, Scaffei, Bosetti, Marchi, Costanzo, Dell’Oste, Mazziotti, Dell’Osso, Carmassi, Muratori, Baroncelli, Calderoni and Battini.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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