Classification Schemes of Altered States of Consciousness
PsyArXiv September 24, 2024 preprint DOI: 10.31234/osf.io/pmuqt
Summary
AI-generated from the abstractA review of classification schemes for altered states of consciousness (ASCs) groups them into three types: those based on subjective experiences (state-based), those based on induction methods (method-based), and those describing neurophysiological mechanisms. By comparing and extending these schemes, researchers can better identify neural correlates of consciousness and understand how ASCs are induced and experienced. The review clusters concepts from state-based schemes to help define and quantify core ASC phenomenology, which may inform future basic and clinical research.
Study at a glance
| Characteristics | Review |
|---|---|
| Key finding | Classification schemes for altered states of consciousness fall into three groups: state-based, method-based, and neuro/physio-based; clustering concepts from state-based schemes can assist in formulating and quantifying core ASC phenomenology for basic and clinical research. |
Abstract
In recent years, there has been a renewed interest in the conceptual and empirical study of altered states of consciousness (ASCs) induced pharmacologically or otherwise, driven by their potential clinical applications. To draw attention to the rich history of research in this domain, we review prominent classification schemes that have been proposed to introduce systematicity in the scientific study of ASCs. The reviewed ASC classification schemes fall into three groups according to the criteria they use for categorization: (1) based on the nature, variety, and intensity of subjective experiences (state-based), including conceptual descriptions and psychometric assessments, (2) based on the technique of induction (method-based), and (3) descriptions of neurophysiological mechanisms of ASCs (neuro/physio-based). By comparing and extending existing classification schemes, we can enhance efforts to identify neural correlates of consciousness, particularly when examining mechanisms of ASC induction and the resulting subjective experience. Furthermore, an overview of what defining ASC characteristics different authors have proposed can inform future research in the conceptualization and quantification of ASC subjective effects, including the identification of those that might be relevant in clinical research. This review concludes by clustering the concepts from the state-based schemes, which are suggested for classifying ASC experiences. The resulting clusters can inspire future approaches to formulate and quantify the core phenomenology of ASC experiences to assist in basic and clinical research.