Combining Physiological and Neuroimaging Measures to Predict Affect Processing Induced by Affectively Valent Image...

Area of Science:

• Neuroscience
• Psychophysiology
• Affective Science

Background:

• Affect processing is crucial for human behavior, necessitating reliable measurement methods.
• Previous research has explored neural and physiological markers of affect, but direct comparisons of their fidelity are limited.

Purpose of the Study:

• To compare the measurement fidelity of neural activation and heart rate (HR) deceleration in detecting affective valence.
• To assess the contribution of each measure in predicting affective valence across a wide spectrum of stimuli.

Main Methods:

• Utilized functional magnetic resonance imaging (fMRI) for neural activation and electrocardiography for HR deceleration in 50 healthy adults.
• Combined multivariate predictions of affective valence from neural data with HR deceleration measures.
• Used stimuli from the International Affective Picture System (IAPS) with predefined normative affect ratings.

Main Results:

• Both neural activation patterns and HR deceleration significantly predicted normative valence scores of IAPS stimuli.
• Neural activation patterns explained a significantly larger proportion of the variance in affective valence compared to HR deceleration.
• These findings held across different stimulus sets, including those with extreme positive and negative valence.

Conclusions:

• Neural activation and HR deceleration offer convergent validation for induced affect processing in affective valence.
• fMRI-derived neural activation is a more potent predictor of affective valence than HR deceleration alone.
• Concurrent acquisition of HR deceleration with fMRI can enhance the comprehensive understanding of affect processing.