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Related Experiment Video

Updated: Oct 2, 2025

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
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Gene expression associated with human brain activations in facial expression recognition.

Zirui Wang1, Yuan Ji1, Yumeng Fu1

  • 1Department of Medical imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, 300052, China.

Brain Imaging and Behavior
|February 25, 2022
PubMed
Summary

This study links facial expression recognition (FER) brain activity to specific genes, revealing their role in neural functions and psychiatric disorders. These findings offer new insights into emotion processing and potential treatments.

Keywords:
Allen Human Brain AtlasEmotionFacial expression recognitionGene expressionMagnetic resonance imaging

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Area of Science:

  • Neuroscience
  • Genetics
  • Psychiatry

Background:

  • Previous research identified genetic links to emotion but lacked focus on human gene expression.
  • Understanding the genetic basis of emotion processing is crucial for neuroscience and psychiatry.

Purpose of the Study:

  • To identify genes associated with facial expression recognition (FER) brain activity.
  • To explore the biological mechanisms underlying FER and its connection to psychiatric disorders.

Main Methods:

  • Utilized high-resolution fMRI data from the Human Connectome Project (HCP) for FER tasks.
  • Integrated gene expression data from the Allen Human Brain Atlas (AHBA) for transcriptome-neuroimaging analysis.
  • Performed enrichment analyses on identified FER-related genes.

Main Results:

  • Identified 371 genes significantly associated with FER-related brain activations.
  • FER-related genes are predominantly expressed in brain neurons, involved in synaptic functions and nervous system development.
  • These genes showed enrichment for psychiatric diseases characterized by emotional impairments.

Conclusions:

  • Facial expression recognition is a complex polygenic process involving multiple biological pathways.
  • The identified genes provide novel insights into the neurobiological mechanisms of emotion processing.
  • Findings may aid in developing therapeutic strategies for emotion-related psychiatric disorders.