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Published on: March 17, 2019
Abnormal Association Between Neural Activity and Genetic Expressions of Impulsivity in
Soohyun Jeon1, Jae-Eon Kang1, Jundong Hwang1
1Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea.
This study links brain activity and gene expression in Attention Deficit Hyperactivity Disorder (ADHD) using advanced analysis. The findings reveal connections between neural and genetic signatures and impulsivity in ADHD.
Area of Science:
- Neuroscience
- Genetics
- Psychiatry
Background:
- Impulsivity in Attention Deficit Hyperactivity Disorder (ADHD) is highly heritable.
- Previous research focused on neural activity (fMRI) or genetics separately.
- Multivariate methods linking both neural activity and gene expression in ADHD were underexplored.
Purpose of the Study:
- To investigate coupled neural activity and gene expression signatures in ADHD.
- To utilize parallel independent component analysis (pICA) for analyzing neuroimaging and genetic data.
- To link these multimodal signatures to behavioral and cognitive measures of impulsivity.
Main Methods:
- Used data from the Adolescent Brain Cognitive Development (ABCD) study.
- Included children with ADHD (n=394) and healthy controls (n=1,000).
- Applied pICA to discovery datasets and validated findings in replication datasets, analyzing fMRI and gene expression data.
Main Results:
- Identified three paired independent components (pICs) linking gene expression (cortex, cerebellum, nucleus accumbens) with neural activity.
- Found significant associations between these pICs and ADHD-related genes, including immunoglobulin and immunity terms.
- Demonstrated that multimodal regression using paired pICs significantly predicted behavioral inhibition and reaction times in the stop signal task (SST).
Conclusions:
- Reported biologically plausible pairs of neural activity and gene sets in ADHD.
- These multimodal signatures are significantly associated with impulsivity-related behavioral and cognitive data.
- Highlights the potential of integrating neuroimaging and genetic data for understanding ADHD.
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