Name Daniel Langleben | ||
![]() | ||
Daniel Langleben is a psychiatrist, professor, and scientific researcher. He pioneered a technique for using functional magnetic resonance imaging (fMRI) as a means of lie detection. He is currently a Professor of Psychiatry. He has also studied the brain effects of packaging and advertising and how infants' cuteness motivates caretaking in adults.
Contents
Biography
He graduated from the Hebrew University of Jerusalem in 1982, and from the Hebrew University Hadassah Medical School in 1989. He completed his internship at the Medical College of Pennsylvania and then residencies in Psychiatry and Radiology at the Mount Sinai Hospital.
2001 study
Langleben was inspired to test lie detection while he was at Stanford University studying the effects of a drug on children with Attention Deficit Disorder (ADD). He found that these children have a more difficult time inhibiting the truth. He postulated that lying requires increased brain activity compared to truth because the truth must be suppressed, essentially creating more work for the brain. In 2001, he published his first work with lie detection using a modified form of the Guilty Knowledge Test, which is sometimes used in polygraph tests. The subjects, right-handed, male college students, were given a card and a Yes/No handheld clicker. They were told to lie to a computer asking questions while they underwent a brain scan only when the question would reveal their card. The subjects were given $20 for participating, and told they would receive more money if they deceived the computer; however, none did.
His studies showed that the inferior and superior prefrontal and anterior cingulate gyri and the parietal cortex, showed increased activity during deception. In 2002, he licensed his methods for lie detection to the No Lie MRI company located in San Diego, California.
Critiques
Critiques of this technique point out that fMRI does not actually measure lying, only the increased brain activity that occurs when one is lying. Using fMRI for lie detection could then lead to false positives produced by anxiety or other causes.
Another concern is that a "lie" is not always clear-cut, and may be a complex concept. More complex types of deception may not be detected by imaging techniques.