A comparison of methods for ERP assessment in a P300-based GKT

Abootalebi, Vahid; Moradi, Mohammad Hassan; Khalilzadeh, Mohammad A.

doi:10.1016/j.ijpsycho.2006.05.009

Cited by 97 publications

(64 citation statements)

References 24 publications

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“…Some studies have used mock crimes or virtual mock crimes (Abootalebi et al 2006;Hahm et al 2009). Some have applied various other knowledge-imparting procedures (Gamer and Berti 2009;Lefebvre et al 2007Lefebvre et al , 2009Meijer et al 2007).…”

Section: Replications Of Brain Fingerprinting Science In Other Indepmentioning

confidence: 99%

Brain fingerprinting: a comprehensive tutorial review of detection of concealed information with event-related brain potentials

Farwell¹

2012

Cogn Neurodyn

165

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Brain fingerprinting (BF) detects concealed information stored in the brain by measuring brainwaves. A specific EEG event-related potential, a P300-MERMER, is elicited by stimuli that are significant in the present context. BF detects P300-MERMER responses to words/ pictures relevant to a crime scene, terrorist training, bombmaking knowledge, etc. BF detects information by measuring cognitive information processing. BF does not detect lies, stress, or emotion. BF computes a determination of ''information present'' or ''information absent'' and a statistical confidence for each individual determination. Laboratory and field tests at the FBI, CIA, US Navy and elsewhere have resulted in 0% errors: no false positives and no false negatives. 100% of determinations made were correct. 3% of results have been ''indeterminate.'' BF has been applied in criminal cases and ruled admissible in court. Scientific standards for BF tests are discussed. Meeting the BF scientific standards is necessary for accuracy and validity. Alternative techniques that failed to meet the BF scientific standards produced low accuracy and susceptibility to countermeasures. BF is highly resistant to countermeasures. No one has beaten a BF test with countermeasures, despite a $100,000 reward for doing so. Principles of applying BF in the laboratory and the field are discussed.

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Section: Replications Of Brain Fingerprinting Science In Other Indepmentioning

confidence: 99%

Brain fingerprinting: a comprehensive tutorial review of detection of concealed information with event-related brain potentials

Farwell¹

2012

Cogn Neurodyn

165

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“…Por otro lado, conviene no olvidar que los culpables pueden utilizar contramedidas para falsificar o dificultar la detección de la P300 (Rosenfeld et al, 2004;Abootalebi, Moradi y Khalilzadeh, 2006;Mertens y Allen, 2008), y que como vimos anteriormente disminuye significativamente la capacidad de detección. Las contramedidas utilizadas para falsear los resultados pueden ser de naturaleza física (morderse la lengua, apretar los puños o la mandíbula, etc.)…”

Section: Falsos Negativosunclassified

Detección de información oculta mediante potenciales relacionados con eventos

Terol

Álvarez

Melgar

et al. 2014

Anuario de Psicología Jurídica

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Existe un interés considerable en hallar métodos que nos ayuden a saber cuándo una persona miente y cuándo dice la verdad desde un punto de vista forense. Actualmente, una de las líneas de investigación se inclina hacia el uso de potenciales relacionados con eventos. Se pretende hacer una revisión de los artículos que estudian estos procedimientos mediante distintos métodos: propiedades, fiabilidad, validez y limitaciones. Los resultados indican tasas de acierto en la discriminación de culpables en un rango de 7 al 100 por ciento, y en la de inocentes de 31 a 100 por ciento. La gran variabilidad y la posibilidad de "falsear" las respuestas llevan a cuestionar la inexactitud utilizada en algunos círculos mediáticos respecto a las cualidades y finalidades de dicha prueba. Se concluye la necesidad de profundizar más la posibilidad de que esta prueba sea utilizada con fines forenses.There is a considerable interest in finding methods that help us to know when a person is lying and when is telling the truth from a forensic point of view. Currently, one of the lines of research leans toward the use of event-related potentials. We intend to give a brief objective review of articles studying these procedures using different methods: properties, reliability, validity, and limitations. Results indicate success rates in discriminating the guilty in a range of 7 to 100 percent, and the not-guilty ones from 31 to 100 percent. The great variability and the ability to "distort" the answers lead to question the inaccuracy used in some media circles about the qualities and purposes of the test. The need to deepen the possibility that this test is used for forensic purposes is concluded.Mucha atención se le ha prestado a la investigación de la validez y fiabilidad del polígrafo para su aplicación en el ámbito judicial, pero por desgracia no se le ha prestado tanta atención a la investigación y los debates de otros métodos de detección psicofisiológica de información oculta como los potenciales relacionados con eventos (P300), en su uso tanto con el Test de Conocimiento Culpable (GKT) como con el Test de Información Oculta (CIT). Potenciales relacionados con eventosLos Potenciales Relacionados con Eventos (PRE), Potenciales Evocados o Event-Related Potentials son registros de actividad eléctrica cerebral obtenidos mediante estimulación continua de una vía sensorial o del procesamiento de información, dentro de un contexto determinado. Esta actividad está conformada por cambios o fluctuaciones de voltaje de pequeña magnitud que ocurren con una alta resolución en el tiempo (milésimas de segundos) y es el producto de la sumatoria de la actividad sináptica sincronizada de grandes poblaciones neuronales. El atributo más ventajoso de los PRE es precisamente su alta resolución en el tiempo, ya que los cambios eléctricos que se generan en el cerebro se propagan de forma prácticamente *La correspondencia sobre este artículo debe enviarse indistintamente a Odette

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“…The applications of wavelets to ERPs are broad ranging, including joint time-frequency analysis of ERPs (Samar et al, 1992), artifact removal (Jiang et al, 2007) and event detection (Demiralp et al, 1999;Samar et al, 1995). Furthermore, features derived from wavelet coefficients (Merzagora et al, 2006;Trejo and Shensa, 1999) perform well in preprocessing (Kalayci et al, 1994) stages of classification problems using statistical learning algorithms (Abootalebi et al, 2006;Browne and Cutmore, 2002).…”

Section: Introductionmentioning

confidence: 99%

A wavelet based algorithm for the identification of oscillatory event-related potential components

Aniyan¹,

Philip²,

Samar

et al. 2014

Journal of Neuroscience Methods

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Event Related Potentials (ERPs) are very feeble alterations in the ongoing Electroencephalogram (EEG) and their detection is a challenging problem. Based on the unique time-based parameters derived from wavelet coefficients and the asymmetry property of wavelets a novel algorithm to separate ERP components in single-trial EEG data is described. Though illustrated as a specific application to N170 ERP detection, the algorithm is a generalized approach that can be easily adapted to isolate different kinds of ERP components. The algorithm detected the N170 ERP component with a high level of accuracy. We demonstrate that the asymmetry method is more accurate than the matching wavelet algorithm and t-CWT method by 48.67 and 8.03 percent respectively. This paper provides an off-line demonstration of the algorithm and considers issues related to the extension of the algorithm to real-time applications.

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A comparison of methods for ERP assessment in a P300-based GKT

Cited by 97 publications

References 24 publications

Brain fingerprinting: a comprehensive tutorial review of detection of concealed information with event-related brain potentials

Brain fingerprinting: a comprehensive tutorial review of detection of concealed information with event-related brain potentials

Detección de información oculta mediante potenciales relacionados con eventos

A wavelet based algorithm for the identification of oscillatory event-related potential components

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