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Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

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Basics of Multivariate Analysis in Neuroimaging Data
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Evaluation of behavioral variance/covariance explained by the neuroimaging data through a pattern-based regression.

Di Chen1,2, Tianye Jia1,2,3, Wei Cheng1,2

  • 1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.

Human Brain Mapping
|March 15, 2024
PubMed
Summary

This study introduces a novel voxel-based pattern regression to analyze brain-wide associations with behavior. The method reveals shared neural bases across diverse behaviors, offering a comprehensive understanding of neuroimaging and human actions.

Keywords:
brain-associated varianceneuroimagingneuroimaging correlationstatistical association

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychiatry

Background:

  • Neuroimaging studies often focus on limited brain regions, hindering a holistic understanding of behavior.
  • Existing methods struggle to capture the overarching relationship between brain activity and complex human behaviors.

Purpose of the Study:

  • To develop and validate a voxel-based pattern regression method for analyzing brain-associated variance (BAV) across behaviors.
  • To investigate shared neural underpinnings between different behavioral measures using neuroimaging data.
  • To provide a robust statistical tool for advancing the study of human behavior through neuroimaging.

Main Methods:

  • Proposed a voxel-based pattern regression technique to assess brain-wide associations with behavior.
  • Validated the method's reliability and accuracy through comprehensive simulations.
  • Applied the approach to large-scale neuroimaging datasets (IMAGEN and HCP) encompassing diverse behavioral measures.

Main Results:

  • The voxel-based pattern regression demonstrated high reliability and accuracy in simulations.
  • Intelligence scores showed significant brain-associated variance with gray matter volume in both adolescent and adult datasets.
  • Identified shared neural architectures underlying depression and externalizing problems in adolescents, suggesting early developmental links.

Conclusions:

  • The proposed voxel-based pattern regression offers a powerful tool for exploring brain-behavior relationships.
  • The method can uncover latent correlations between multiple behaviors, providing novel insights.
  • This approach enhances our ability to understand the neural bases of human behaviors using neuroimaging data.