» Articles » PMID: 32132942

Content-Free Awareness: EEG-fcMRI Correlates of Consciousness in an Expert Meditator

Overview
Journal Front Psychol
Date 2020 Mar 6
PMID 32132942
Citations 26
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

The impact of frequency-specific music stimulation on consciousness in patients with disorders of consciousness.

Yang H, Huang W, Wen W, Long S, Zhang Y, Chi X Front Neurol. 2025; 16:1506261.

PMID: 40070671 PMC: 11893416. DOI: 10.3389/fneur.2025.1506261.


Variations of autonomic arousal mediate the reportability of mind blanking occurrences.

Boulakis P, Simos N, Zoi S, Mortaheb S, Schmidt C, Raimondo F Sci Rep. 2025; 15(1):4956.

PMID: 39929867 PMC: 11811146. DOI: 10.1038/s41598-024-81618-1.


Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline.

Liyanagedera N, Bareham C, Kempton H, Guesgen H Brain Inform. 2025; 12(1):4.

PMID: 39921681 PMC: 11807047. DOI: 10.1186/s40708-025-00251-4.


The Psychedelic Renaissance: A Catholic Perspective.

Carroll T Linacre Q. 2024; :00243639241274818.

PMID: 39544399 PMC: 11559537. DOI: 10.1177/00243639241274818.


Documenting and defining emergent phenomenology: theoretical foundations for an extensive research strategy.

Sandilands O, Ingram D Front Psychol. 2024; 15:1340335.

PMID: 39114586 PMC: 11304085. DOI: 10.3389/fpsyg.2024.1340335.


References
1.
Jann K, Dierks T, Boesch C, Kottlow M, Strik W, Koenig T . BOLD correlates of EEG alpha phase-locking and the fMRI default mode network. Neuroimage. 2009; 45(3):903-16. DOI: 10.1016/j.neuroimage.2009.01.001. View

2.
Andrews-Hanna J . The brain's default network and its adaptive role in internal mentation. Neuroscientist. 2011; 18(3):251-70. PMC: 3553600. DOI: 10.1177/1073858411403316. View

3.
Cubelli R, Della Sala S . Looking back to go forward: Promoting single case studies. Cortex. 2017; 97:A1-A3. DOI: 10.1016/j.cortex.2017.09.023. View

4.
Smigielski L, Scheidegger M, Kometer M, Vollenweider F . Psilocybin-assisted mindfulness training modulates self-consciousness and brain default mode network connectivity with lasting effects. Neuroimage. 2019; 196:207-215. DOI: 10.1016/j.neuroimage.2019.04.009. View

5.
Levan P, MacLaren J, Herbst M, Sostheim R, Zaitsev M, Hennig J . Ballistocardiographic artifact removal from simultaneous EEG-fMRI using an optical motion-tracking system. Neuroimage. 2013; 75:1-11. DOI: 10.1016/j.neuroimage.2013.02.039. View