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Updated: Sep 12, 2025

Perspectives on Neuroscience
Published on: July 31, 2007
Religious and spiritual experiences from a neuroscientific and complex systems perspective
Peter Jedlicka1, Martha Nari Havenith2
1Translational Neuroscience Network Giessen, Germany; Computer-Based Modelling in the field of 3R Animal Protection, ICAR3R, Faculty of Medicine, Justus-Liebig-University, Giessen, Germany; Institute of Clinical Neuroanatomy, Neuroscience Center, Goethe University, Frankfurt Main, Germany.
Spiritual and religious experiences are linked to brain structure and function. Neurospirituality research offers insights into these phenomena, integrating various scientific approaches for a balanced understanding.
Area of Science:
- Neuroscience
- Cognitive Evolution
- Evolutionary Medicine
Background:
- Spiritual and religious practices represent a significant cognitive transition in human evolution.
- These experiences are intrinsically linked to complex brain structures, their dynamics, and plasticity.
Purpose of the Study:
- To explore the neural mechanisms underlying spiritual and religious experiences.
- To address neurophilosophical and neurotheological questions regarding the neurobiological basis of these experiences.
- To review current knowledge on the neuroscience of various spiritual/religious phenomena and related brain changes.
Main Methods:
- Review of existing literature on the neuroscience of meditation, prayer, near-death experiences, ecstatic epilepsy, psychedelic experiences, and brain lesions.
- Discussion of predictive processing theory in relation to ecstatic states.
- Examination of evolutionary medicine context for spiritual practices.
Main Results:
- Summarizes expanding knowledge on the neural correlates of diverse spiritual and religious experiences.
- Discusses the potential of ecstatic states as a form of impaired prediction.
- Highlights beneficial and therapeutic effects of spiritual practices.
Conclusions:
- Neurospirituality research is valuable when avoiding excessive reductionism and dualism.
- An integrative, non-localisationist approach using dynamical systems, complex systems, and network theory is recommended.
- Limited reductionism, balanced with holistic perspectives, is key for advancing the field.
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