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Basics of Multivariate Analysis in Neuroimaging Data

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Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation

Ram Sapkota¹, Bishal Thapaliya¹, Bhaskar Ray¹

¹Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University, Atlanta, GA 30303, USA.

Information (Basel)

|April 14, 2025

Summary

This summary is machine-generated.

Adolescent brain development shows linear gray and white matter growth patterns over two years, correlating with cognitive maturation. These findings from neuroimaging analysis offer insights into brain changes during adolescence.

Keywords:

CCA DCCAE brain development multimodal

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Area of Science:

Neuroimaging and developmental neuroscience.
Utilizes advanced magnetic resonance imaging (MRI) techniques.

Background:

Adolescence is a critical period for cognitive and behavioral development.
Understanding brain maturation during this phase is crucial.

Purpose of the Study:

To identify coherent gray and white matter growth patterns in adolescents over two years.
To compare linear (CCA) and nonlinear (DCCAE) neuroimaging analysis methods.
To investigate the association of brain growth patterns with cognitive and behavioral outcomes.

Main Methods:

Analysis of T1-weighted and diffusion-weighted MRI data from the Adolescent Brain Cognitive Development (ABCD) Study.
Application of Canonical Correlation Analysis (CCA) and Deep Canonical Correlation Analysis with an Autoencoder (DCCAE).
Correlation analysis of brain structure changes with cognitive tests and the Child Behavior Checklist.

Main Results:

Both CCA and DCCAE identified similar brain regions linked to cognition and behavior.
Observed linear patterns in gray and white matter growth over the two-year period.
Brain growth patterns explained more variance in cognitive maturation than in behavioral changes.

Conclusions:

Adolescent brain development exhibits predominantly linear growth patterns in gray and white matter over a two-year span.
Neuroimaging analysis, including advanced methods like DCCAE, reveals key brain regions associated with cognitive and behavioral development.
Brain maturation dynamics are more strongly linked to cognitive development than behavioral changes during adolescence.