This study reports the results of a confirmatory experiment testing the hypothesis that it is possible to detect coincidences of a sequence of events (silence-signal) of different length, by analyzing the EEG activity of two human partners spatially separated when one member of the pair receives the stimulation and the second one is connected only mentally with the first. Seven selected participants with a long friendship and a capacity to maintain focused mental concentration, were divided into two groups located in two different laboratories approximately 190 km apart. Each participant acted both as a “stimulated” and as a “mentally connected” member of the pair for a total of twenty sessions overall. The offline analysis of EEG activity using a special classification algorithm based on a support vector machine, detected the coincidences in the sequence of events of the stimulation protocol between the EEG activity of the “stimulated” and the “mentally connected” pairs. Furthermore the correlation of the power spectra of the five EEG frequency bands between each of the twenty pairs of data was analyzed using a bootstrap procedure. The overall percentage of coincidences out of 88 events was 78.4% and the statistically significant average correlations between the EEG alpha and gamma bands among the pairs of participants, confirmed the results observed in a pilot study. The examination of potential internal, external and statistical artifacts which might have caused these results, ruled out external and internal artifacts. However, the examination of potential statistical artifacts revealed a good level of coincidences in only four pairs using a new procedure to detect the sequences of silence and signal between the EEG activity of the pairs of participants, giving a mild support to the hypothesis that two brains and hence two minds can be connected at distance.

Brain-to-Brain (mind-to-mind) interaction at distance: a confirmatory study., 2014-10-23.

Brain-to-Brain (mind-to-mind) interaction at distance: a confirmatory study.

Marco Bilucaglia
Formal Analysis
;
2014-10-23

Abstract

This study reports the results of a confirmatory experiment testing the hypothesis that it is possible to detect coincidences of a sequence of events (silence-signal) of different length, by analyzing the EEG activity of two human partners spatially separated when one member of the pair receives the stimulation and the second one is connected only mentally with the first. Seven selected participants with a long friendship and a capacity to maintain focused mental concentration, were divided into two groups located in two different laboratories approximately 190 km apart. Each participant acted both as a “stimulated” and as a “mentally connected” member of the pair for a total of twenty sessions overall. The offline analysis of EEG activity using a special classification algorithm based on a support vector machine, detected the coincidences in the sequence of events of the stimulation protocol between the EEG activity of the “stimulated” and the “mentally connected” pairs. Furthermore the correlation of the power spectra of the five EEG frequency bands between each of the twenty pairs of data was analyzed using a bootstrap procedure. The overall percentage of coincidences out of 88 events was 78.4% and the statistically significant average correlations between the EEG alpha and gamma bands among the pairs of participants, confirmed the results observed in a pilot study. The examination of potential internal, external and statistical artifacts which might have caused these results, ruled out external and internal artifacts. However, the examination of potential statistical artifacts revealed a good level of coincidences in only four pairs using a new procedure to detect the sequences of silence and signal between the EEG activity of the pairs of participants, giving a mild support to the hypothesis that two brains and hence two minds can be connected at distance.
Inglese
23-ott-2014
F1000 Research Ltd.
2014
3
182
United Kingdom
internazionale
esperti non anonimi
senza ISI Impact Factor
Online
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
10
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10808/48025
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