Mediumship accuracy: A quantitative and qualitative study with a triple-blind protocol.

AIMS: assess if mediums could give accurate information about the deceased in a triple-blind protocol and to investigate the source of information using a quantitative and qualitative analysis. METHODS: nine mediums produced thirty-eight readings related to thirty-eight deceased individuals chosen by thirty-six sitters using a triple-blind protocol with no direct interaction with the sitters themselves. In this protocol, the medium was provided with only the deceased's name by the interviewer, the latter having no further knowledge about the deceased. In every session, the medium was asked to provide information about two deceased persons of the same gender. This information, excluding generic details, was entered into two anonymous lists. The information of these two readings was sent to the research assistant charged with maintaining contact with the sitters. Each sitter was asked to assign a value to every piece of information listed using a four- point Likert scale from 'totally wrong' to 'totally correct', and to provide a global score for each reading. RESULTS: 65.8% of the intended readings were correctly identified with respect to the chance of 50%. Furthermore, intended readings had on average 29.5% more correct information than the control ones. Qualitative data indicate that mediums attain information both passively and actively, that is as if they retrieved information without or directly interacting with the deceased. CONCLUSIONS: this study provides further evidence that some mediums are able to obtain accurate information about deceased people knowing only the deceased's name and with no interaction with sitters; it also supports the hypothesis that, in some cases, the sources of the information are the deceased themselves.

Channeling: A Non-pathological Possession and Dissociative Identity Experience or Something Else?

Channeling experiences are often compared with Dissociative Trance/Possession Disorders and Dissociative Identity Disorders and more recent diagnostic criteria presented in the DSM 5 and ICD-11. From this comparison, it emerges quite clearly that, for most cases, channeling can either be considered an exceptional non-ordinary mental experience or a non-pathological Dissociative Trance/Possession experience. If this characterization is valid, the next step is to understand the origin of channeling experiences. Are they an expression of channeler's unconscious or voluntary mental mechanisms, or real connections with "other discarnate entities"? Given their peculiar characteristics, channeling experiences offer a unique opportunity for a scientific investigation and in particular, the origin of the information received by the channelers.

Hypno-death-experiences: Death experiences during hypnotic life regressions.

In this study we analyzed retrospectively a database of 44 alleged death experiences between incarnations, as reported by 36 participants during hypnotic life regression sessions with the same hypnotist. The descriptions of these experiences were evaluated using the Italian version of the Near-Death Experience Scale. A large part of the reported experiences were categorized as "Affective", with a majority reported as: "Feeling a sense of joy" and "Seeing and being enveloped by a bright light", as well as in the "Transcendental" category, with all experiences showing a similar frequency. Regarding the "Paranormal" category, the most often reported experience is that of: "The feeling of being separated from one's physical body".With respect to the total score, 18% fell within the range commonly used to identify true near-death-experiences. The death experiences undergone during the hypnotic life regressions contain very similar characteristics to those reported in classic near-death-experiences. Whether these experiences were actually lived or were, instead, accounts of events previously learned through conventional means, remains an open question.

EEG correlation at a distance: A re-analysis of two studies using a machine learning approach.

Background: In this paper, data from two studies relative to the relationship between the electroencephalogram (EEG) activities of two isolated and physically separated subjects were re-analyzed using machine-learning algorithms. The first dataset comprises the data of 25 pairs of participants where one member of each pair was stimulated with a visual and an auditory 500 Hz signals of 1 second duration. The second dataset consisted of the data of 20 pairs of participants where one member of each pair received visual and auditory stimulation lasting 1 second duration with on-off modulation at 10, 12, and 14 Hz. Methods and Results: Applying a 'linear discriminant classifier' to the first dataset, it was possible to correctly classify 50.74% of the EEG activity of non-stimulated participants, correlated to the remote sensorial stimulation of the distant partner. In the second dataset, the percentage of correctly classified EEG activity in the non-stimulated partners was 51.17%, 50.45% and 51.91%, respectively, for the 10, 12, and 14 Hz stimulations, with respect the condition of no stimulation in the distant partner. Conclusions: The analysis of EEG activity using machine-learning algorithms has produced advances in the study of the connection between the EEG activities of the stimulated partner and the isolated distant partner, opening new insight into the possibility to devise practical application for non-conventional "mental telecommunications" between physically and sensorially separated participants.

THE NEUROPHENOMENOLOGY OF OUT-OF-BODY EXPERIENCES INDUCED BY HYPNOTIC SUGGESTIONS.

Inducing out-of-body experiences in hypnosis (H-OBEs) offers an almost unique opportunity to investigate them under controlled conditions. OBEs were induced as an imaginative task in a resting condition (I-OBE) or in hypnosis (H-OBE) in a group of 15 high hypnotizable subjects. A 32-channel EEG was recorded, and the spectral power and imaginary coherence of each frequency band and each couple of electrodes were calculated. At the end of each session, the Phenomenology of Consciousness Inventory (PCI) was administered to assess the phenomenological aspects of the subjects' experience. Significantly higher scores in the altered state, positive affect altered experience, and attention subdimensions of the PCI were reported in H-OBE than in I-OBE, which were associated with a significant decrease of power in beta and gamma band activity in right parieto-temporal derivations. These results suggest that the H-OBE may offer a useful experimental model of spontaneous OBEs.

A new method to detect event-related potentials based on Pearson's correlation.

Event-related potentials (ERPs) are widely used in brain-computer interface applications and in neuroscience.  Normal EEG activity is rich in background noise, and therefore, in order to detect ERPs, it is usually necessary to take the average from multiple trials to reduce the effects of this noise.  The noise produced by EEG activity itself is not correlated with the ERP waveform and so, by calculating the average, the noise is decreased by a factor inversely proportional to the square root of N, where N is the number of averaged epochs. This is the easiest strategy currently used to detect ERPs, which is based on calculating the average of all ERP's waveform, these waveforms being time- and phase-locked.  In this paper, a new method called GW6 is proposed, which calculates the ERP using a mathematical method based only on Pearson's correlation. The result is a graph with the same time resolution as the classical ERP and which shows only positive peaks representing the increase-in consonance with the stimuli-in EEG signal correlation over all channels.  This new method is also useful for selectively identifying and highlighting some hidden components of the ERP response that are not phase-locked, and that are usually hidden in the standard and simple method based on the averaging of all the epochs.  These hidden components seem to be caused by variations (between each successive stimulus) of the ERP's inherent phase latency period (jitter), although the same stimulus across all EEG channels produces a reasonably constant phase. For this reason, this new method could be very helpful to investigate these hidden components of the ERP response and to develop applications for scientific and medical purposes. Moreover, this new method is more resistant to EEG artifacts than the standard calculations of the average and could be very useful in research and neurology.  The method we are proposing can be directly used in the form of a process written in the well-known Matlab programming language and can be easily and quickly written in any other software language.

EEG correlates of social interaction at distance.

This study investigated EEG correlates of social interaction at distance between twenty-five pairs of participants who were not connected by any traditional channels of communication. Each session involved the application of 128 stimulations separated by intervals of random duration ranging from 4 to 6 seconds. One of the pair received a one-second stimulation from a light signal produced by an arrangement of red LEDs, and a simultaneous 500 Hz sinusoidal audio signal of the same length. The other member of the pair sat in an isolated sound-proof room, such that any sensory interaction between the pair was impossible. An analysis of the Event-Related Potentials associated with sensory stimulation using traditional averaging methods showed a distinct peak at approximately 300 ms, but only in the EEG activity of subjects who were directly stimulated. However, when a new algorithm was applied to the EEG activity based on the correlation between signals from all active electrodes, a weak but robust response was also detected in the EEG activity of the passive member of the pair, particularly within 9 - 10 Hz in the Alpha range. Using the Bootstrap method and the Monte Carlo emulation, this signal was found to be statistically significant.