JOURNAL ARTICLE
A Comparative Model of Mysticism: Cognitive Neuroscience, Phenomenal Experiences, and Noetic Accounts.
Published In: Archive for the Psychology of Religion / Archiv für Religionspsychologie, 2025, v. 47, n. 2. P. 133 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Trivedi, Hemal P 3 of 3
Abstract
This article proposes a novel model of comparative mysticism centered on the dynamic interaction between three components: neurocognitive mechanisms and substrates, phenomenal experiences, and noetic accounts (interpretations grounded in cultural and religious contexts). Using the phenomenon of ego-dissolution (EDn)—a state where the sense of self dissolves—the model is applied to diverse cases including the modern Indian mystic Sadhguru, the medieval Spanish Christian mystic Teresa of Ávila, and individuals undergoing psychedelic experiences with psilocybin and LSD. The neurocognitive component, involving brain regions such as the right parietal lobe and the default mode network, serves as a bridge between essentialist views (which posit a universal core to mystical experiences) and contextualist views (which emphasize cultural specificity). By integrating neuroscience, first-person phenomenal reports, and culturally situated noetic interpretations, this interdisciplinary approach aims to respect both universal and contextual aspects of mysticism, facilitating more nuanced cross-cultural and historical comparisons.
Additional Information
- Source:Archive for the Psychology of Religion / Archiv für Religionspsychologie. 2025/07, Vol. 47, Issue 2, p133
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2025
- ISSN:0084-6724
- DOI:10.1177/00846724241265870
- Accession Number:185985982
- Copyright Statement:Copyright of Archive for the Psychology of Religion / Archiv für Religionspsychologie is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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