Date of Award

12-13-2023

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Dr. Vince Calhoun

Abstract

This paper introduces a novel approach to explore longitudinal changes in brain func- tional network connectivity (FNC) and gray matter (GM) in adolescents, utilizing data from the Adolescent Brain and Cognitive Development (ABCD) study. The study focuses on mul- tivariate patterns of FNC changes over a two-year period, identifying structured Functional Change Patterns (FCPs). One noteworthy finding is the strengthened functional connec- tivity between visual (VS) and sensorimotor (SM) domains as participants age. Moreover, the research highlights gender-specific variations in these patterns. This approach offers a robust means of assessing whole-brain functional changes longitudinally.

Additionally, the paper presents two complementary techniques for analyzing whole-brain structural and functional changes with age. The first method links Functional Change Pat- terns (FCPs) to voxel-wise ∆GM, revealing significant correlations for two components. The second technique investigates the connections between FCP and Structural Change Patterns (SCP). These methods provide valuable insights into the linked changes between functional connectivity and GM during adolescence, contributing to a comprehensive understanding of brain development.

DOI

https://doi.org/10.57709/36397807

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