Lie detection, also referred to as deception detection, uses questioning techniques along with technology that records physiological functions to ascertain truth and falsehood in response. It is commonly used by law enforcement and has historically been an inexact science. There are a wide variety of technologies available for this purpose. The most common and long used measure is the polygraph, which is considered by the National Academy of Sciences to be unreliable. Facial expressions, body language, and linguistics add indicators that have some additional diagnostic ability. The highest diagnostic ability for truth verification and lie detection presently comes from the use of function MRI (fMRI). Non-automated fMRI has been shown to be 20% more accurate than non-automated polygraph performed by CIA and FBI polygraphers. When these two non-automated technologies (FMRI and Polygraph) agreed the accuracy in a comparison study showed a 100% accuracy at detecting truth and lies. This shows the data derived from these two technologies can be complementary. When fMRI is combined with trained algorithms derived from pattern recognition, studies have had accuracy rates of truth verification and lie detect