Brain mechanisms in religion and spirituality: An integrative predictive processing framework

Area of Science:

• Neuroscience
• Cognitive Science
• Psychology of Religion

Background:

• Religion and spirituality are complex human phenomena with diverse neurocognitive underpinnings.
• Existing models offer fragmented explanations for the neural basis of religious and spiritual experiences.

Purpose of the Study:

• To present the theory of predictive processing as a unifying framework for the neurocognitive basis of religion and spirituality.
• To elucidate the role of specific brain mechanisms in religious and spiritual experiences.
• To compare the predictive processing model with existing two-systems accounts.

Main Methods:

• Theoretical model development integrating predictive processing.
• Review and synthesis of neuroimaging and cognitive neuroscience findings related to religion and spirituality.
• Comparative analysis of predictive processing with two-systems models.

Main Results:

• Predictive processing offers a unified framework, linking temporal and multisensory brain areas, the default mode network, and Theory of Mind networks to religious experiences.
• Top-down mechanisms in the anterior cingulate cortex and medial prefrontal cortex are implicated in supernatural belief acquisition.
• Prediction error monitoring is highlighted as a central mechanism in religious and spiritual cognition.

Conclusions:

• The predictive processing framework provides a cohesive neurocognitive explanation for religion and spirituality.
• This model generates novel, testable predictions for future neuroscientific research.
• The study discusses the broader philosophical and theological implications of neuroscientific findings on religion.