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Evaluating brain spectral and connectivity differences between silent mind-wandering and trance states
Helané Wahbeh1, Cedric Cannard1, Michael Kriegsman1
1Research Department, Institute of Noetic Sciences, Petaluma, CA, United States.
Progress in Brain Research
|June 10, 2023
Summary
This study differentiates trance and mind-wandering using electroencephalography (EEG). Deeper trance states correlate with reduced whole-brain connectivity, suggesting altered consciousness involves decreased large-scale neural interaction.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Trance states are altered consciousness involving cognitive changes, often linked to mental silence (reduced thought).
- Mind-wandering is characterized by attention deviation and inner speech, contrasting with mental silence.
- Previous research on mental silence and trance states provides a foundation for exploring their neural correlates.
Purpose of the Study:
- To investigate neural differences between trance and mind-wandering states using electroencephalography (EEG).
- To analyze EEG power spectra at electrode and source-reconstructed area levels.
- To evaluate functional connectivity between brain areas and its relation to subjective trance depth.
Main Methods:
- Electroencephalography (EEG) recordings were used to analyze brain activity.
- Source reconstruction techniques were applied to EEG data for area-level analysis.
- Spectral analysis and functional connectivity measures were employed to compare brain states.
Main Results:
- Mind-wandering showed increased frontal delta/theta and centro-parietal gamma power.
- Trance exhibited increased frontal beta and gamma power.
- No significant differences in area-level power spectra or connectivity were found between states, but deeper trance correlated with reduced whole-brain connectivity.
Conclusions:
- Trance and mind-wandering exhibit distinct EEG power spectrum patterns.
- While area-level connectivity may not differ, subjective trance depth is linked to reduced large-scale neural network activity.
- Trance facilitates entry into mentally silent states for exploring neurophenomenological processes.
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