Systems and methods for detecting deception by measuring...

Surgery – Diagnostic testing – Detecting brain electric signal

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0



Reexamination Certificate



Methods for determining whether the brain activity of a human subject in response to a stimulus of interest or question of interest is characteristic of a state of interest, such as a deceptive state or a truthful state, are disclosed. Some methods include the use of control questions, including truthful control questions and deceptive control questions, to provide bases for comparison for responses to stimuli of interest or questions of interest. Some methods include the use of differences between two states, such as a deceptive state and a truthful state. In some methods, brain maps are generated and compared. Also disclosed are systems for detecting deception by measuring brain activity.

patent: 4932416 (1990-06-01), Rosenfeld
patent: 4941477 (1990-07-01), Farwell
patent: 5113870 (1992-05-01), Rossenfeld
patent: 5137027 (1992-08-01), Rosenfeld
patent: 5170780 (1992-12-01), Rosenfeld
patent: 5363858 (1994-11-01), Farwell
patent: 5406956 (1995-04-01), Farwell
patent: 5467777 (1995-11-01), Farwell
patent: 5564433 (1996-10-01), Thornton
patent: 5676138 (1997-10-01), Zawilinski
patent: 5833600 (1998-11-01), Young
patent: 5846207 (1998-12-01), Rosenfeld
patent: 5876334 (1999-03-01), Levy
patent: 5957859 (1999-09-01), Rosenfeld
patent: 6167299 (2000-12-01), Galchenkov et al.
patent: 6198958 (2001-03-01), Ives et al.
patent: 6453194 (2002-09-01), Hill
patent: 6572528 (2003-06-01), Rohan et al.
patent: 6754524 (2004-06-01), Johnson, Jr.
patent: 6830544 (2004-12-01), Tanner
patent: 6854879 (2005-02-01), Pavlidis
patent: 6996256 (2006-02-01), Pavlidis
patent: 7010351 (2006-03-01), Firlik et al.
patent: 7069067 (2006-06-01), Kuth et al.
patent: 7111980 (2006-09-01), Pavlidis et al.
patent: 2002/0062089 (2002-05-01), Johnson
patent: 2002/0099295 (2002-07-01), Gil et al.
patent: 2003/0120140 (2003-06-01), Bango
patent: 2004/0143170 (2004-07-01), DuRousseau
patent: 2005/0119547 (2005-06-01), Shastri et al.
patent: 2005/0143629 (2005-06-01), Farwell
patent: 2005/0154290 (2005-07-01), Langleben
patent: 2006/0036152 (2006-02-01), Kozel
patent: 1138260 (2001-10-01), None
patent: WO-02/102238 (2002-12-01), None
Kozel, F. Andrew et al., “Regional Brain Correlates of Deception: a Pilot Study in Healthy Young Adults,” American College of Neuropsychopharmacology 39th Annual Meeting, published Dec. 10, 2000, 2 pages.
Spence, Sean A., et al., “Behavioural and Functional Anatomical Correlates of Deception in Humans,” NeuroReport, vol. 12, No. 13, Sep. 17, 2001, pp. 2849-2853.
“Your Cheating Brain,” BBC News,, Nov. 12, 2001, 2 pages.
Young, Emma, “Brain Scans Can Reveal Liars,” New Scientist, Nov. 12, 2001, 2 pages.
Vallis, Mary, “Brain Scan Can Detect Lies, Researchers Find,” National Post Online,, Nov. 12, 2001, 2 pages.
Vedantam, Shankar, “The Polygraph Test Meets Its Match,” The Washington Post, Nov. 12, 2001, p. A02.
Hall, C.T., “Fib Detector Study Shows Brain Scan Detects Patterns of Neural Activity When Someone Lies,” The San Francisco Chronicle,, Nov. 26, 2001, 3 pages.
O'Neil, John, “In the Lab: Zeroing in on a Lie's Home Base,”, Dec. 4, 2001, 1 page.
Human Brain Operates Differently in Decpetion and Honesty, University of Pennsylvania Researchers Report, Science Daily, Nov. 13, 2001, 1 page.
Adler et al., Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women, Health Psychology, 2000, pp. 586-592, 19(6).
Alary et al., “Cortical activation associated with passive movements of the human index finger: an MEG study,” NeuroImage, 2002, pp. 691-696, 15.
Annett, “A classification of hand preference by association analysis,” Br. J. Psychol., 1970, pp. 303-321, 61(3).
Ashburner et al., “Nonlinear spatial normalization using basis functions,” Human Brain Mapping, 1999, pp. 254-266, 7.
Babiloni et al., “Human cortical EEG rhythms during long-term episodic memory task. A high-resolution EEG study of the HERA model,” NeuroImage, 2004, pp. 1576-1584, 21.
Binder et al., “Human brain language areas indentified by functional magnetic resonance imaging,” J. Neurosci., 1997, pp. 353-362, 17(1).
Bush et al., “The Counting Stroop: an Interference Task Specialized for Functional Neuroimaging-validation Study with Functional MRI, Human Brain Mapping,” 1998, pp. 270-282, 6.
Cohen et al., “On the control of automatic processes: a parallel distributed processing count of the stroop effect,” Psychological Rev., 1990, pp. 332-361, 97(3).
Collins et al., “Automatic 3D intersubject registration of MR volumetric data in standardized talairach space,” J. Comput. Assist. Tomogr., 1994, pp. 192-205, 18(2).
Collins et al., “Design and construction of a realistic digital brain phantom,” IEEE Trans. Med. Imag., 1998, pp. 463-468, 17(3).
Cox, “AFNI: software for analysis and visualization of functional magnetic resonance neuroimages,” Comput. Biomed. Res., 1996, pp. 162-173, 29.
Ritter, Malcolm, “Brain Scan as Lie Detectors? A Lying Thief Checks it Out,” USA Today, Copyright 2006, The Associated Press, 5 pages.
Critchley et al., “Volitional control of autonomic arousal: A functional magnetic resonance study,” NeuroImage, 2002, pp. 909-919, 16.
Ekman et al., “Invited article: face, voice, and body in detecting deceit,” J. Nonverbal Behav., 1991, pp. 125-135, 15(2).
Elliott et al., “Selective attention to emotional stimuli in a verbal go
o go task: an fMRI study,” NeuroReport, 2000, pp. 1739-1744, 11(8).
Farwell et al., “The truth will out: Interrogative polygraphy (“lie detection”) with event-related brain potentials,” Psychophysiol., 1991, pp. 531-547, 28(5).
Feng et al., “CBF changes during brain activation: fMRI vs. PET,” NeuroImage, 2004, pp. 443-446, 22.
Fernandez et al., “Language mapping in less than 15 minutes: Real-time functional MRI during routine clinical investigation,” NeuroImage, 2001, pp. 585-594, 14.
Frackowiak et al., “Human brain function,” Academic Press, San Diego CA, 1997, pp. 487-517.
Friston et al., “Assessing the significance of focal activations using their spatial extent,” Human Brain Mapping, 1994, pp. 210-220, 1.
Friston et al., “Statistical parametric maps in functional imaging: A general linear approach, Human Brain Mapping,” 1995, pp. 189-210, 2.
Furedy, “Lie Detection as Psychophysiological differentiation: Some fine lines,” Psychophysiology, 1986, pp. 683-701, The Guilford Press New York NY.
Ganis et al., “Neural correlates of different types of deception: an fMRI investigation,” Cerebral Cortex, Aug. 2003, pp. 830-836, vol. 13.
George et al., “Blunted left cingulate activation in mood disorder subjects during a response interference task (the stroop),” J. Neuropsychiatry, 1997, pp. 55-63, 9.
Silberman, Steve, “Don't Even Think About Lying,” Wired Magazine, Copyright 2006, Lycos, Inc., 7 pages.
Kozel et al., “A pilot study of functional magnetic resonance imaging brain correlates of deception in health young men,” J. Neuropsychiatry Clin. Neurosci., 2004, pp. 295-305, 16(3).
Kozel et al., “A replication study of the neural correlates of deception, Behavioral Neuroscience,” 2004, pp. 852-856, 118(4).
Kozel et al., “Measuring brain changes associated with deception using 3T BOLD functional MRI,” abstract No. 455 presented at the 9th International Conference on Functional Mapping of the Human Brain, New York NY, 2003.
Lancaster et al., “Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward-transform method,” Human Brain Mapping, 1997, pp. 238-242, 5.
Langleben et al


Say what you really think

Search for the USA inventors and patents. Rate them and share your experience with other people.


Systems and methods for detecting deception by measuring... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Systems and methods for detecting deception by measuring..., we encourage you to share that experience with our community. Your opinion is very important and Systems and methods for detecting deception by measuring... will most certainly appreciate the feedback.

Rate now


Profile ID: LFUS-PAI-O-2719161

All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.