Patterns of Interhemispheric Correlation During Human Communication
📄 Original study ↗📌 Appears in:
Plain English Summary
This pioneering 1987 experiment asked a wild question: when two people silently 'connect' mentally, do their brainwaves sync up? Pairs sat in a shielded room, eyes closed, with no way to physically communicate. Their brain activity was recorded and compared every quarter-second. When pairs intentionally tried to connect, their brainwave patterns became strikingly similar, jumping from zero correlation to about 0.80 -- a huge effect. Each pair developed its own unique synchronization pattern, ruling out simple explanations like fatigue. This foundational study introduced automated brain-correlation analysis and laid the groundwork for later 'transferred potential' experiments on brain-to-brain communication.
Abstract
Correlation patterns between the electroencephalographic activity of both hemispheres in adult subjects were obtained. The morphology of these patterns for one subject was compared with another subject's patterns during control situations without communication, and during sessions in which direct communication WAS stimulated. Neither verbalization nor visual or physical contact are necessary for direct communication to occur. The interhemispheric correlation patterns for each subject were observed to become similar during the communication sessions as compared to the control situations. These effects are not due to nonspecific factors such as habituation or fatigue. The results support the syntergik theory proposed by one of the authors (Grinberg-Zylberbaum).
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📋 Cite this paper
Grinberg-Zylberbaum, Jacobo, Ramos, Julieta (1987). Patterns of Interhemispheric Correlation During Human Communication. International Journal of Neuroscience. https://doi.org/10.3109/00207458708985559
@article{grinberg_zylberbaum_1987_interhemispheric,
title = {Patterns of Interhemispheric Correlation During Human Communication},
author = {Grinberg-Zylberbaum, Jacobo and Ramos, Julieta},
year = {1987},
journal = {International Journal of Neuroscience},
doi = {10.3109/00207458708985559},
}