Content-free awareness: EEG-fcMRI correlates of consciousness as such in an expert meditator
Open accessAbstract
The minimal neural correlate of the conscious state, regardless of the neural activity correlated with the ever-changing contents of experience, has still not been identified. Different attempts have been made, mainly by comparing the normal waking state to seemingly unconscious states, such as deep sleep or general anesthesia. A more direct approach would be the neuroscientific investigation of conscious states that are experienced as free of any specific phenomenal content. Here we present serendipitous data on content-free awareness (CFA) during an EEG-fMRI assessment reported by an extraordinarily qualified meditator with over 50,000 h of practice. We focused on two specific cortical networks related to external and internal awareness, i.e., the dorsal attention network (DAN) and the default mode network (DMN), to explore the neural correlates of this experience. The combination of high-resolution EEG and ultrafast fMRI enabled us to analyze the dynamic aspects of fMRI connectivity informed by EEG power analysis. The neural correlates of CFA were characterized by a sharp decrease in alpha power and an increase in theta power as well as increases in functional connectivity in the DAN and decreases in the posterior DMN. We interpret these findings as correlates of a top-down-initiated attentional state excluding external sensory stimuli and internal mentation from conscious experience. We conclude that the investigation of states of CFA could provide valuable input for new methodological and conceptual approaches in the search for the minimal neural correlate of consciousness.
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There is empirical evidence that some advanced forms of meditation practice can also occasion totally selfless states.
“While there is empirical evidence that some advanced forms of meditation practice can also occasion ‘totally’ selfless states (Millière et al. 2018; Winter et al. 2020; Laukkonen and Slagter 2021), here I will focus on psychedelics as the most robust catalysts of selfless states.”
From Consciousness in active inference: Deep self-models, other minds, and the challenge of psychedelic-induced ego-dissolution (2021) · cites this paper as Winter et al. 2020
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References 71 · Cited by 63
Research works printed but not linked: 2
- Winter U. (2013). Raum-Matrix: Minimale neuronale Korrelate von Bewusstsein, Raum und Selbst. master’s thesis, University of Freiburg, Freiburg im Breisgau.
- Winter U. (2020). The Nature of Consciousness: Neurobiology and Mystical Experiences. New York, NY: Springer.
- Authors
- Winter, U., LeVan, P., Borghardt, T. L., Akin, B., Wittmann, M., Leyens, Y., & Schmidt, S.
- Affiliations
- University of Freiburg (DE)
- Institute for Frontier Areas of Psychology and Mental Health (DE)
- Corresponding author
- Winter, Ulf
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2020-02-18
- Volume
- 10
- Pages
- 3064-3064
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC7040185
- OpenAlex
- W3008647137
- Cited by
- 63
- References
- 71
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 13 · 2023: 8 · 2022: 10 · 2021: 9 · 2020: 11 · 2019: 1
- FWCI
- 9.19
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Fundação Bial
- Cogito Foundation
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Keywords
- neural correlates of consciousness, dorsal attention network, default mode network, alpha power, theta power, functional connectivity, top-down attention, EEG-fMRI synchronization
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