Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research

Area of Science:

• Neuroscience
• Psychology

Background:

• Functional magnetic resonance imaging (fMRI) is a key tool for studying the neural basis of emotion.
• Combining fMRI studies via coordinate-based meta-analysis (CBMA) enhances result reliability.
• Activation Likelihood Estimation (ALE) is a widely used CBMA method in affective neuroscience.

Purpose of the Study:

• To provide an introductory guide for implementing the ALE method in emotion research.
• To outline the experimental steps for conducting ALE meta-analyses in affective neuroscience.
• To demonstrate ALE's utility in investigating the neural mechanisms of emotions.

Main Methods:

• Review of the Activation Likelihood Estimation (ALE) methodology.
• Application of ALE to combine findings from multiple fMRI studies on emotion.
• Case study focusing on the emotion of disgust (core and social processing).

Main Results:

• ALE enables the aggregation of neuroimaging data to identify consistent patterns of brain activation related to emotions.
• The review details practical steps for researchers to implement ALE in their own studies.
• A case study on disgust illustrates ALE's capability to yield consistent and interpretable results.

Conclusions:

• The Activation Likelihood Estimation (ALE) method is crucial for advancing affective neuroscience by synthesizing fMRI data.
• Consistent findings from ALE meta-analyses facilitate a deeper understanding of the neural underpinnings of emotional experiences.
• This guide empowers researchers to effectively use ALE for robust emotion research.