publication . Article . 2014

Brain fingerprinting classification concealed information test detects US Navy military medical information with P300

Lawrence A. Farwell; Drew C. Richardson; Graham M. Richardson; John J. Furedy;
Open Access
  • Published: 01 Dec 2014 Journal: Frontiers in Neuroscience, volume 8 (eissn: 1662-453X, Copyright policy)
  • Publisher: Frontiers Media SA
Abstract
A classification concealed information test (CIT) used the “brain fingerprinting” method of applying P300 event-related potential (ERP) in detecting information that is (1) acquired in real life and (2) unique to US Navy experts in military medicine. Military medicine experts and non-experts were asked to push buttons in response to three types of text stimuli. Targets contain known information relevant to military medicine, are identified to subjects as relevant, and require pushing one button. Subjects are told to push another button to all other stimuli. Probes contain concealed information relevant to military medicine, and are not identified to subjects. Irrelevants contain equally plausible, but incorrect/irrelevant information. Error rate was 0%. Median and mean statistical confidences for individual determinations were 99.9% with no indeterminates (results lacking sufficiently high statistical confidence to be classified). We compared error rate and statistical confidence for determinations of both information present and information absent produced by classification CIT (Is a probe ERP more similar to a target or to an irrelevant ERP?) vs. comparison CIT (Does a probe produce a larger ERP than an irrelevant?) using P300 plus the late negative component (LNP; together, P300-MERMER). Comparison CIT produced a significantly higher error rate (20%) and lower statistical confidences: mean 67%; information-absent mean was 28.9%, less than chance (50%). We compared analysis using P300 alone with the P300 + LNP. P300 alone produced the same 0% error rate but significantly lower statistical confidences. These findings add to the evidence that the brain fingerprinting methods as described here provide sufficient conditions to produce less than 1% error rate and greater than 95% median statistical confidence in a CIT on information obtained in the course of real life that is characteristic of individuals with specific training, expertise, or organizational affiliation.
Persistent Identifiers
Sustainable Development Goals (SDG)
3. Good health
Subjects
free text keywords: General Neuroscience, Lie Detection, EEG, ERP, P300, event-related potential, Concealed Information Test, Neuroscience, Original Research Article, brain fingerprinting, P300-MERMER, LNP, detection of concealed information, Word error rate, Military medicine, Data mining, computer.software_genre, computer, Lie detection, Event-related potential, Navy, Text mining, business.industry, business, Test (assessment), Brain fingerprinting, Statistics, Psychology, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, lcsh:RC321-571
Communities
  • Neuroinformatics
Funded by
NWO| Microbial support of plant growth under abiotic stress (project 3)
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300191238
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