Unveiling the EEG signatures of extrasensory perception during spiritual experiences: A single-case study with a well-renowned channeler.

Just as the brain of Albert Einstein is studied in an attempt to understand human intelligence or the bodies of elite athletes are examined to improve muscle strength, the study of people who claim to have spiritual experiences could enrich the investigation of the brain-mind relationship. Although mediumship with deceased people is widely extensively studied in spiritual experiences, we explored a mediumistic experience called "channeling" where the individual connects with a non-corporeal intelligence (NCI) source. To approach this kind of spiritual experience, we considered three hypotheses: the fraud hypothesis (i), the mental pathology hypothesis (ii), and the extrasensory perception hypothesis (iii).

Using occipital ⍺-bursts to modulate behavior in real-time.

Pre-stimulus endogenous neural activity can influence the processing of upcoming sensory input and subsequent behavioral reactions. Despite it is known that spontaneous oscillatory activity mostly appears in stochastic bursts, typical approaches based on trial averaging fail to capture this. We aimed at relating spontaneous oscillatory bursts in the alpha band (8-13 Hz) to visual detection behavior, via an electroencephalography-based brain-computer interface (BCI) that allowed for burst-triggered stimulus presentation in real-time.

Long-Range α-Synchronization as Control Signal for BCI: A Feasibility Study.

Shifts in spatial attention are associated with variations in α band (α, 8-14 Hz) activity, specifically in interhemispheric imbalance. The underlying mechanism is attributed to local α-synchronization, which regulates local inhibition of neural excitability, and frontoparietal synchronization reflecting long-range communication. The direction-specific nature of this neural correlate brings forward its potential as a control signal in brain-computer interfaces (BCIs).

Can the occipital alpha-phase speed up visual detection through a real-time EEG-based brain-computer interface (BCI)?

Electrical brain oscillations reflect fluctuations in neural excitability. Fluctuations in the alpha band (α, 8-12 Hz) in the occipito-parietal cortex are thought to regulate sensory responses, leading to cyclic variations in visual perception. Inspired by this theory, some past and recent studies have addressed the relationship between α-phase from extra-cranial EEG and behavioural responses to visual stimuli in humans.