Related Experiment Video
Updated: May 11, 2026
06:35
Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
16.8K
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
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.
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.
Related Concept Videos
01:13Mass Analyzers: Overview
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
01:19Mass Analyzers: Common Types
The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
01:27Associative Learning
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
01:19Encoding
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
01:28Automatic Processing and Automatic Social Behavior
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...