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PP141 Functional Connectivity Magnetic Resonance Imaging To Detect Autism by Polo-DeSantos, Mar; Pablo, Juan; Orrego, Chalco; Hijas-Gómez, Ana Isabel; Luengo-Matos, Setefilla; Sánchez-Gómez, Luis María is a Economics, Econometrics and Finance article available to read on EtoBox.

## Introduction Autism is a neurodevelopmental disorder characterized by alterations in the intellectual, social, communication, and behavioral capabilities of an individual, and is rarely detected in children before 24 months of age. Early diagnosis and intervention may be more effective at a younger age. Functional connectivity magnetic resonance imaging (fcMRI) of 6-month old infants may be able to identify brain connection patterns related to at least one of the characteristics of autism, which normally appear at 24 months of age, by using a mathematical model to analyze the neuroimaging data. ## Methods Clinical studies published up to December 2018 that used fcMRI to detect autism in infants were reviewed. The literature databases searched included PubMed, Web of Science, the Trip Database, DynaMed, the Cochrane Library, the International Clinical Trials Registry Platform, and ClinicalTrials.gov. Early assessments of fcMRI analysis were identified through the Early Awareness and Alert System of the Agencia de Evaluación de Tecnologías Sanitarias. ## Results Only one prospective study of 59 infants at 6-months of age was retrieved. A fcMRI analysis was performed to identify 2,

Author

Polo-DeSantos, Mar; Pablo, Juan; Orrego, Chalco; Hijas-Gómez, Ana Isabel; Luengo-Matos, Setefilla; Sánchez-Gómez, Luis María

Publisher

Cambridge University Press; Cambridge University Press (CUP) (ISSN 0266-4623)

Published

2019

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)