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Researchers Find New Technique To Detect Lies By Looking At Someone's Brain Activity
The researchers asked those participating in the study to predict the outcomes of a series of coin tosses.
The subjects were told that the research team believed predicting the future was more likely when given a monetary incentive, and when the prediction was not shared in advance of the outcome. That gave the participants the opportunity to lie and say that they had correctly predicted the coin toss to win the money.
The subjects' honesty was assessed based on whether their number of correct responses was statistically feasible.
According to the researchers, the participants who reported improbably high levels of accuracy were classified as dishonest, and those reporting statistically feasible levels of accuracy were classified as honest.
With the aid of fMRI technique, Greene found that the honest individuals displayed little to no additional brain activity when reporting their prediction of the coin toss. However, the dishonest participants' brains were most active in control-related brain regions when they chose not to lie.
Greene notes that there was an important distinction between the brain activity when the honest participants told the truth, and when the dishonest participants told the truth.
"When the honest people leave money on the table, you don't see anything special or extra going on in their brains at all. Whereas, when the dishonest people leave money on the table, that's when you saw the most robust control network activation," says the researcher.
The researchers hope that their findings may pave the way for a technique to detect lies by looking at someone's brain activity, but they also concede that a lot more work must be done before this becomes possible.
Source-ANI
ARU
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