Farwell Lawrence A, Richardson Drew C, Richardson Graham M, Furedy John J
Brain Fingerprinting Laboratories, Inc./Brain Fingerprinting, LLC Seattle, WA, USA.
Federal Bureau of Investigation, FBI Laboratory Quantico, VA, USA (at the time of the research).
Front Neurosci. 2014 Dec 23;8:410. doi: 10.3389/fnins.2014.00410. eCollection 2014.
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.
一种分类隐蔽信息测试(CIT)采用了“脑指纹识别”方法,即应用P300事件相关电位(ERP)来检测以下信息:(1)在现实生活中获取的;(2)美国海军军事医学专家所特有的。军事医学专家和非专家被要求根据三种类型的文本刺激按下按钮。目标包含与军事医学相关的已知信息,向受试者指明为相关信息,并要求按下一个按钮。受试者被告知对所有其他刺激按下另一个按钮。探测包含与军事医学相关的隐蔽信息,未向受试者指明。无关信息包含看似合理但不正确/不相关的信息。错误率为0%。个体判定的中位数和平均统计置信度为99.9%,无不确定结果(结果缺乏足够高的统计置信度以进行分类)。我们比较了分类CIT(探测ERP与目标ERP还是与无关ERP更相似?)和比较CIT(探测产生的ERP是否比无关刺激产生的ERP更大?)在确定信息存在和信息不存在时的错误率和统计置信度,使用P300加上晚期负成分(LNP;合称为P300-MERMER)。比较CIT产生的错误率显著更高(20%),统计置信度更低:平均为67%;信息不存在时的平均值为28.9%,低于随机概率(50%)。我们比较了单独使用P300与使用P300 + LNP的分析。单独使用P300产生的错误率相同,均为0%,但统计置信度显著更低。这些发现进一步证明,此处所述的脑指纹识别方法提供了充分条件,能够在对现实生活中获取的、具有特定训练、专业知识或组织隶属关系的个体所特有的信息进行CIT时,产生低于1%的错误率和大于95%的中位数统计置信度。