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Dataset Information

Early identification of autism spectrum disorder in preschoolers by static and dynamic amplitude of low-frequency fluctuations features.


ABSTRACT:

Objectives

Early identification and timely intervention is critical for young children with autism spectrum disorder (ASD). The current study aims to explore potential disparities in static and dynamic intrinsic brain function in preschoolers with ASD, and uncover underlying neural underpinnings that can be used for facilitating the identification of ASD.

Materials and methods

Static and dynamic amplitude of low-frequency fluctuations (ALFF) of 73 ASD preschoolers and 43 age-matched typically developing individuals (TDs) were extracted and compared to identify differences in intrinsic brain local connectivity associated with ASD. The dynamic ALFF (dALFF) utilized a sliding window technique that integrates static ALFF (sALFF) to gauge the variance of local brain activity over

SUBMITTER: Yu K 

PROVIDER: S-EPMC12018480 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature