Brain imaging lie detector can be beaten with simple techniques

Summary: Current fMRI tests designed to detect deception by looking at specific areas of the brain may be vulnerable to mental countermeasures. In order to improve reliability, researchers call for whole brain analysis, rather than just examining brain regions of interest.

Source: University of Plymouth

People have certain physical ‘tells’ when they conceal information – and studies show that good liars can prevent these ‘tells’ being detected by displaying physical red herrings of their own.

But scientists have now shown that even a brain imaging technique called fMRI, which in theory is much harder to trick, can be beaten by people who use two particular mental countermeasures.

The work was led by Drs Chun-Wei Hsu and Giorgio Ganis at the University of Plymouth, in collaboration with the University of Padova, Italy, and published in the journal Human Brain Mapping.

This research is the first to explore the effects of mental countermeasures on brain activity in functional magnetic resonance imaging (fMRI) – and it showed that when people used the countermeasures, the test proved to be 20 percent less accurate.

How do concealed information tests work?

Concealed information tests work because a person who is hiding something will ‘give away’ what they are concealing when faced with it in a list. For example, if a thief has stolen a diamond ring, the ring will be more striking to the thief than similar control items such as necklaces and bracelets – and the thief will show physiological signs (e.g. sweating) that reveal their guilt.

However, these tests based on physiological signs are easy to beat as perpetrators can artificially alter them when seeing a control item, therefore confusing the test. To overcome this problem, researchers moved to methods that look directly at brain activation using fMRI.

An fMRI machine tracks blood flow to activated brain areas. The assumption in concealed information detection is that the brain will show signs of recognition when presented with the concealed items while exerting extra effort to conceal signs of such recognition, and so the brain regions that do more work will get more blood. Such regions light up in scans, and they are primarily involved in directing attention and in decision making.

In the new study, participants were asked to conceal information about a ‘secret’ digit they saw inside an envelope.

Researchers taught 20 participants two mental countermeasures. The first was to associate meaningful memories to the control items, making them more significant. The second was to focus on the superficial aspects of the item they were trying to conceal, rather than on the experience of familiarity it evokes, in order to make it less significant.

The results showed that these countermeasures lowered the accuracy of the test by about 20 percent because it was more difficult for fMRI to find any differences in brain activity. Thus, participants were more likely to be able to hide their concealed information item when using the mental countermeasures.

The research team concluded that in order to improve the robustness of the test, future work needed to identify a way of detecting mental countermeasures, and potentially look at conducting whole-brain analyses, rather than just examining regions of interest.

This shows a brain scan
An fMRI machine tracks blood flow to activated brain areas. The assumption in concealed information detection is that the brain will show signs of recognition when presented with the concealed items while exerting extra effort to conceal signs of such recognition, and so the brain regions that do more work will get more blood. Such regions light up in scans, and they are primarily involved in directing attention and in decision making. The image is adapted from the University of Plymouth news release.

Lead author Dr. Chun-Wei Hsu, a researcher in the CogNovo research programme at the University of Plymouth, said: “fMRI tests are not currently used by law enforcement in the same way as polygraph tests, but they have been considered for scientific and criminal use as a way of detecting when someone is concealing information. This study shows that the process can be manipulated if someone associates meaningful memories to the control items or focuses on the aesthetics, rather than the memory, of the item they’re trying to hide.

“None of our participants were seasoned liars or criminals, they were just everyday people, so before this test can even be considered for forensic use, there must be further studies carried out to help identify when someone is using mental countermeasures.

“Deception is a really challenging area of psychology, and the more we can find out about the techniques used to detect it, the better.”

About this neuroscience research article

Source:
University of Plymouth
Media Contacts:
Amy King- University of Plymouth
Image Source:
The image is adapted from the University of Plymouth news release.

Original Research: Closed access
“The effect of mental countermeasures on neuroimaging-based concealed information tests”. Chun‐Wei Hsu Chiara Begliomini Tommaso Dall’Acqua Giorgio Ganis. Human Brain Mapping. doi:10.1002/hbm.24567

Abstract

The effect of mental countermeasures on neuroimaging-based concealed information tests

During the last decade and a half, functional magnetic resonance imaging (fMRI) has been used to determine whether it is possible to detect concealed knowledge by examining brain activation patterns, with mixed results. Concealed information tests rely on the logic that a familiar item (probe) elicits a stronger response than unfamiliar, but otherwise comparable items (irrelevants). Previous work has shown that physical countermeasures can artificially modulate neural responses in concealed information tests, decreasing the accuracy of these methods. However, the question remains as to whether purely mental countermeasures, which are much more difficult to detect than physical ones, can also be effective. An fMRI study was conducted to address this question by assessing the effect of attentional countermeasures on the accuracy of the classification between knowledge and no‐knowledge cases using both univariate and multivariate analyses. Results replicate previous work and show reliable group activation differences between the probe and the irrelevants in fronto‐parietal networks. Critically, classification accuracy was generally reduced by the mental countermeasures, but only significantly so with region of interest analyses (both univariate and multivariate). For whole‐brain analyses, classification accuracy was relatively low, but it was not significantly reduced by the countermeasures. These results indicate that mental countermeasure need to be addressed before these paradigms can be used in applied settings and that methods to defeat countermeasures, or at least to detect their use, need to be developed.

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