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
Recommended Citation
Saha, Rekha, "The Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging Data." Thesis, Georgia State University, 2023.
doi: https://doi.org/10.57709/36397807
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