A Living Model for a Living Mind: Integrating Rhythms, Physiology, and Clinical Science through the Default Space Theory
Abstract
Thus, consciousness research becomes doubly immersed in overly abstract theories without physiologically grounded correlates, where limited falsifiability primarily inhibits progress.Expandability, the capacity of a theory to take in subsequent findings and yield testable predictions, seems a promising measure of scientific fitness for consciousness research.Unified 3D Default Space Theory (DST) posits that the 3D default (an inherently stabilized, always-on framework continuously constructed by thalamocortical loops in response to synchronized signals from heart, lungs & gut) biologically grounds the hypothesized scaffold of conscious experience.Compared to Integrated Information Theory (IIT) and Global Workspace Theory (GWT), Unified 3D Default Space Theory (DST) is a new theory of consciousness, two increasingly alluring but philosophically derived theories of consciousness that have no practical applications given that they fail to meaningfully account for spatial "here-ness," a sense of self, or clinically induced alterations.We then outline a "Methods & Materials" approach to testing DST in the EEG-fMRI-ECG-respiration-electrogastrography domain, from simultaneous data acquisition through phase-resolved analysis locked to respiration and cardiac rhythms.Results are presented as testable predictions: (i) phase-locking between insula, somatosensory cortex & thalamus to visceral signals; (ii) Default Mode Network (DMN) dynamics coupled to the frequency of respiration; and (iii) clinical "oscillopathies" where conflicted visceral rhythms interfere with the stabilized default space.Finally, we show how grounding perception, selfhood and psychopathology in a longitudinal program of research anticipates integration, and how a "Conclusion" asks advanced imaging pipelines to regard visceral rhythms as signal rather than noise.
Fields of Study & Subjects
Philosophy and Theoretical Science
Neural dynamics and brain function
Cognitive Science and Education Research
Publication details
- Journal / source
- Journal of Neurological Sciences and Research.
- Volume
- 6
- Issue
- 1
- Publication date
- 2 February 2026
- Language
- EN