Variation in high-amplitude events across the human lifespan

Abstract excerpt

Edge time series decompose functional connections into their fine-scale, framewise contributions. Previous studies have demonstrated that global high-amplitude "events" in edge time series can be clustered into distinct patterns. To date, however, it is unknown whether events and their patterns change or persist throughout the human lifespan. Here, we directly address this question by clustering event frames using...

Topics

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• Brain
• Machine Learning
• Phenotype
• Time Factors

Identifiers and source

Literature Corpus work

84988d28-3078-5432-91b7-739c2a1b04b1

DOI

10.1101/2024.05.15.594378