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Brain-Based Lie Detection
1. Functional Magnetic Resonance Imaging (fMRI) is a measure commonly used in enumerating brain activity. With its use of MRI technology, fMRI operates by identifying the alterations within the oxygenation of blood and the flow that takes place as a rejoinder to neural action.
2. Despite the inclination towards fMRI-oriented lie detection, there is null peer-reviewed research that illustrates this neuroimaging capability. This is based on a variety of unanswered queries regarding the technology’s authenticity such as its susceptibility to countermeasures, and accuracy (Langleben and Moriarty 222).
3. In terms of strengths, fMRI does not use radiation and is hence, safe. It also possesses exclusive spatial and temporal resolution. However, the technology is expensive and cannot scan the activities of neurons, which largely influence mental function.
4. Personally, fMRI may be inadmissible in court. This is because of its expensive nature and lack of mobility. Furthermore, when utilized for detecting deception, fMRI may need to be accurate within the scientific society before being used for legal purposes (Langleben and Moriarty 225).
5. Electroencephalography (EEG) involves the detection of electrical activity within the brain via electrodes affixed to a person’s scalp. In diagnosis, EEG assesses fluxes of electrical energy, which originate from ionic current movements within the brain’s neurons.
6. Certain peer-reviewed research has attempted to prove the reliability of EEG. However, such studies have solely been based on dependability of EEG terminology rather than benefit of the device in other contexts (Gaspard et al. 1369).
7. EEG can be admissible in court. This is because it is less expensive, more mobile, and capable of measuring the activities of neurons inside the brain (Langleben and Moriarty 223).
8. Interestingly, EEG possesses a much stronger time resolution in comparison to the fMRI. This may be a strong factor in proving its accuracy and validity in the scope of brain imaging and lie detection.
Works Cited
Gaspard, Nicolas, Lawrence J. Hirsch, Suzette M. LaRoche, Cecil D. Hahn, and M B. Westover. “Interrater Agreement for Critical Care EEG Terminology.” Epilepsia 55.9 (2014): 1366-1373. Print.
Langleben, Daniel D., and Jane Campbell Moriarty. “Using Brain Imaging for Lie Detection: Where Science, Law, and Policy Collide.” Psychology, Public Policy and Law 19.2 (2013): 222-234. Print.