Related Experiment Video
Updated: Apr 15, 2026

14:04
Brain Imaging Investigation of the Neural Correlates of Emotion Regulation
Published on: August 26, 2011
13.3K
Reliability of an fMRI paradigm for emotional processing in a multisite longitudinal study
Dylan G Gee1, Sarah C McEwen1, Jennifer K Forsyth1
1Departments of Psychology and Psychiatry, University of California, Los Angeles, California.
Human Brain Mapping
|March 31, 2015
Summary
Multisite neuroimaging studies show reliable brain activation for emotion processing across different sites and scanners. This supports using these methods to study rare conditions more effectively.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Psychiatry
Background:
- Multisite neuroimaging studies are valuable for rare patient groups.
- Reliability of emotion processing tasks in multisite settings is under-explored.
- Previous studies focused on working memory and motor tasks.
Purpose of the Study:
- To assess the reliability of emotion processing brain regions in multisite neuroimaging studies.
- To validate multisite paradigms for studying emotion regulation and related disorders.
- To support the use of multisite neuroimaging for rare disease research.
Main Methods:
- A traveling participants study with 8 healthy volunteers scanned twice at 8 sites.
- Generalizability theory applied to assess reliability of brain activation (amygdala, IFG, ACC, insula, fusiform gyrus).
- Voxelwise quantitative meta-analysis of aggregated data from 111 healthy individuals.
Main Results:
- Excellent reliability (Eρ2 > 0.8) for maximum activation in key emotion processing regions.
- Fair to excellent reliability for mean activation across sites and days.
- Habituation in the amygdala showed higher stability (Eρ2 = 0.71) than mean activation.
- Meta-analysis confirmed robust activation in expected emotion processing areas.
Conclusions:
- Multisite neuroimaging demonstrates reliable blood oxygen level-dependent signal in emotion processing areas.
- Findings support the use of multisite paradigms for studying emotion and rare conditions.
- This approach enhances efficiency and knowledge generation in neuroimaging research.

