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fMRI
This topic encompasses 108 peer-reviewed studies, primarily in the field of neuroimaging & new technologies. Research in this area spans from the 2000s to the 2020s.
108Studies
2000s–2020sSpan
7Categories
168Researchers
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Studies tagged “fMRI” [108]
All 108 peer-reviewed studies in this research area, sorted by year.
[001]
(2025)
“Your Thoughts are (were) Free!“: Brain-Computer-Interfaces, Neurofeedback, Detection of Deception, and the Future of Mind-Reading
Applied Psychophysiology and Biofeedback The central finding is that neurophysiological mind reading succeeds or fails based on motor-contingent feedback loops and learning mechanisms. In neurofeedback for epilepsy, 35% of… [002] (2025)Neuroscientific and Biometric Methodologies in Forensic Contexts: A Critical Review
Psychology and Behavioral Sciences The review provides evidence-based evaluation of cutting-edge forensic tools including fMRI, ERP, brain fingerprinting, and machine learning techniques that may complement or supplement traditional investigative… [003] (2024)Multi-Modal Deception Detection Using Deep Learning
2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) The multimodal deep learning system achieved 94.23% overall accuracy in detecting deception from trial hearing recordings, substantially exceeding previous benchmarks and human detection capabilities (62%… [004] (2024)Research in the Information Concealment Paradigm: Assessment of fMRI-Data at the Group Level
Experimental Psychology (Russia) Relaxed statistical criteria increased the number of identified active brain regions in frontal, parietal, and subcortical areas, while sample size adequacy emerged as a critical… [005] (2024)Nothing but lies: improving the validity of neural predictors of deception
Neural predictors trained to detect deception also predicted selfish nondeceptive choices, confirming a century-old validity concern. A novel dual-goal tuning machine learning method successfully removed… [006] (2022)The emergence of “truth machines”?: Artificial intelligence approaches to lie detection
Ethics and Information Technology The paper's central argument is that HR managers should cease using technologically-based lie detection systems entirely and work to foster trust and accountability on a… [007] (2022)The cognitive neural network model of deception
Chinese Science Bulletin The review identifies multiple integrated brain networks supporting deception, including prefrontal executive control regions, emotion processing areas, and theory of mind networks, with different patterns… [008] (2021)Study of Neurocognitive Processes in a Paradigm of Information Concealment
Experimental Psychology (Russia) The study successfully validated simultaneous fMRI and MRI-compatible polygraph recording, demonstrating high consistency between expert scoring and automated assessment while identifying brain functional connectivity patterns… [009] (2021)Affect-Aware Machine Learning Models for Deception Detection
Proceedings of the AAAI Conference on Artificial Intelligence Multimodal models incorporating facial affect achieved 91% AUC for deception detection, while unsupervised approaches using facial valence reached 80% AUC, outperforming human ability and validating… [010] (2021)Improvement of the Technology of fMRI Experiments in the Concealed Information Paradigm
Advances in Intelligent Systems and Computing The combined fMRI and MRI-compatible polygraph technology successfully identified significant stimuli in 80% of cases at the individual level, with distinct neural activation patterns corresponding… [011] (2021)What deception tasks used in the lab really do: systematic review and meta-analysis of ecological validity of fMRI deception tasks
Neuroscience Intention to lie was the least frequently included component in fMRI deception studies. Tasks with high ecological validity recruited fewer brain regions (bilateral ACC and… [012] (2020)Neurobiology of Deception
The Non-Disclosing Patient The prefrontal cortex plays a predominant role in deception, but no single neural response uniquely predicts deceptive behavior; deception involves coordination of executive functions including… [013] (2020)Cognitive and Neural Correlates of Children’s Spontaneous Verbal Deception
The Social Brain Lying disrupted neural network efficiency in children, with spontaneous deception producing greater prefrontal activation but decreased global and local network efficiency compared to truth-telling. Older… [014] (2019)Functional Magnetic Resonance Imaging Augmented with Polygraph: New Capabilities
Biologically Inspired Cognitive Architectures Successfully developed and tested MRI-compatible polygraph technology, identifying three distinct subject groups based on autonomic reactivity patterns with corresponding differences in brain stem activation during… [015] (2019)Can fMRI discriminate between deception and false memory? A meta-analytic comparison between deception and false memory studies
Neuroscience & Biobehavioral Reviews Deception, relative to false memory, showed increased activation in the right superior temporal gyrus, right insula, left inferior parietal lobule, and right superior frontal gyrus,… [016] (2019)Application of Registration of Human Vegetative Reactions in the Process of Functional Magnetic Resonance Imaging
Advances in Intelligent Systems and Computing The study established that MRI-compatible polygraph use during fMRI studies is feasible and that classifying subjects according to their vegetative reaction dynamics enables more focused… [017] (2018)Who Speaks for Neuroscience? Neuroimaging Evidence and Courtroom Expertise
Case Western Reserve Law Review The paper identifies that no clear standard exists for determining which medical or scientific professionals are qualified to interpret neuroimaging evidence in court, creating risks… [018] (2018)Research of Neurocognitive Mechanisms of Revealing of the Information Concealing by the Person
Advances in Intelligent Systems and Computing High consistency was found between expert scoring and automatic assessment of polygraph data in the MRI environment, with different brain activation patterns observed based on… [019] (2018)The impact of memory retrieval on deception and truth telling
North American Journal of Psychology Lies about conflicting memories activated different brain regions (right superior medial frontal gyrus and left parietal lobe) compared to lies about consistent memories (left anterior… [020] (2018)Common Sense in Choice: The Effect of Sensory Modality on Neural Value Representations
eNeuro The anterior vmPFC represents subjective value regardless of whether stimuli are presented visually or aurally, demonstrated by both conjunction GLM analysis and cross-modality SVM classification… [021] (2018)The Effectiveness of fMRI Data when Combined with Polygraph Data
European Polygraph Combining fMRI data with all three polygraph parameters showed the greatest accuracy increase compared to fMRI alone or partial combinations, with fMRI plus cardiovascular measurements… [022] (2018)Common and distinct neural correlates of self-serving and prosocial dishonesty
Human Brain Mapping The study found dissociable behavioral and neural patterns: overall dishonesty correlated with vmPFC activity and vmPFC-dlPFC connectivity, while self-serving biased dishonesty correlated with striatum activity… [023] (2017)Predicting Intentions of a Familiar Significant Other Beyond the Mirror Neuron System
Frontiers in Behavioral Neuroscience Participants demonstrated superior intention prediction accuracy for familiar partners compared to strangers, with enhanced brain activation in the precuneus and inferior frontoparietal network. Greater self-reported… [024] (2017)The Anatomy of Deception: A Literature Review of the Neurobiological Basis, Underlying Cognitive Processes, and Motivations that Facilitate Lying
UC Merced Undergraduate Research Journal Deception consistently activates prefrontal and anterior cingulate cortex regions, with different prefrontal subregions supporting distinct executive functions. The review identifies that lying involves working memory,… [025] (2017)Abracadabra, hocus pocus, same song, different chorus: The newest iteration of the science of lie detection
Richmond Journal of Law and Technology All emerging lie detection technologies (ODT, ERP, fMRI) fail to meet scientific standards for forensic use because they measure indirect physiological phenomena without understanding the… [026] (2016)Decoding fMRI signatures of real-world autobiographical memory retrieval
Journal of Cognitive Neuroscience Whole-brain multivoxel pattern analysis achieved near-perfect accuracy distinguishing recognized from novel events at 1-3 week retention intervals, successfully differentiated recollection from familiarity, and showed that… [027] (2016)Review of fMRI Studies on Lie Detection (16 Studies)
Various Publications Review of 16 empirical studies using fMRI for deception detection. Found that inconsistency between findings and absence of replications make fMRI not yet scientifically reliable… [028] (2016)Polygraphy and Functional Magnetic Resonance Imaging in Lie Detection: A Controlled Blind Comparison Using the Concealed Information Test
Journal of Clinical Psychiatry fMRI experts were 24% more likely to detect concealed information than polygraph experts (RR=1.24, p<.001). When both modalities agreed on determinations, accuracy reached 100% across… [029] (2015)Goal-directed modulation of neural memory patterns: Implications for fMRI-based memory detection
Journal of Neuroscience Cognitive countermeasures reduced fMRI memory decoding from a reliable AUC of 0.67 (63% accuracy) under truthful reporting to chance-level performance (AUC = 0.51), with classifiers… [030] (2015)Using fMRI for Lie Detection: Ready for Court?
Psychiatric Expert Testimony: Emerging Applications Courts in United States v. Semrau and Wilson v. Corestaff rejected fMRI lie detection evidence, finding it failed Daubert reliability standards due to unknown real-world… [031] (2015)Neuroimaging and Sexual Behavior: Identification of Regional and Functional Differences
Current Psychiatry Reports Functional neuroimaging reliably identifies distributed brain networks underlying sexual arousal and can discriminate individuals with paraphilic interests (including pedophilia) from controls with high classification accuracy;… [032] (2014)The neural basis of dishonest decisions that serve to harm or help the target
Brain and Cognition Harmful (bad) lies selectively activated the right temporoparietal junction and right medial frontal cortex compared to honest decisions, while helpful (good) lies showed no distinguishing… [033] (2014)Dissociable neural systems for moral judgment of anti- and pro-social lying
Brain Research Moral judgment of anti-social lying activated the right ventromedial prefrontal cortex, bilateral temporoparietal junction, and posterior cingulate regions, while pro-social lying activated the right middle… [034] (2014)Detecting Deception with fMRI
Encyclopedia of Criminology and Criminal Justice The best individual-level classification accuracy achieved via fMRI was 71% using the medial prefrontal cortex at a conservative statistical threshold, with no single brain region… [035] (2014)fMRI as a Method of Detection of Deception: A Review of Experiences
European Polygraph The review provided a critical assessment of fMRI's capabilities for deception detection, highlighting methodological challenges and the gap between laboratory findings and real-world applications at… [036] (2014)Functional neuroimaging of deception
International Journal of Psychophysiology As a conference abstract, specific quantitative findings are not available in published form, though the work contributed to understanding neural correlates of deception through functional… [037] (2014)Erratum: Functional MRI-based lie detection: scientific and societal challenges
Nature Reviews Neuroscience The meta-analysis revealed no brain region consistently associated with deception across studies, accuracy rates varying from 69-100%, and countermeasures reducing detection from 100% to 33%.… [038] (2014)Neurophysiology
Encyclopedia of Deception Neuroimaging shows modest advantages over polygraph (24% improvement in some studies), but faces similar fundamental challenges. Brain regions activated during deception overlap with general executive… [039] (2014 • NATURE REVIEW)Functional MRI-Based Lie Detection: Scientific and Societal Challenges
Nature Reviews Neuroscience, 15, 123–131 Major Nature review including meta-analysis of published fMRI deception studies. Concluded fMRI lie detection shows promise but faces critical scientific, legal, and ethical challenges before… [040] (2013)I want to lie about not knowing you, but my precuneus refuses to cooperate
Scientific Reports Left precuneus BOLD signal activity achieved an 84.6% individual-level classification accuracy (11/13 subjects) in identifying participants who lied about recognizing familiar faces, while traditional executive-process… [041] (2013)fMRI Lie Detection Validity and Admissibility as Evidence in Court and Applicability of the Court's Ruling to Polygraph Testing
European Polygraph The Sixth Circuit's rejection of fMRI lie detection in Semrau established the first appellate precedent against brain-based deception detection, emphasizing unreliable error rates and lack… [042] (2013)Neural correlates of deception in social contexts in normally developing children
Frontiers in Human Neuroscience The right precuneus showed significantly greater activation during social versus less-social deception contexts, while the right inferior parietal lobule showed marginally greater activation for deception… [043] (2013)Prospects of Functional Magnetic Resonance Imaging as Lie Detector
Frontiers in Human Neuroscience The authors conclude that fMRI is unlikely to constitute a viable lie detector for criminal courts due to unresolved scientific limitations (group vs. individual inference,… [044] (2013 • REVIEW)Using Brain Imaging for Lie Detection: Where Science, Law and Research Policy Collide
Psychology, Public Policy, and Law Reviewed 76–90% accuracy range under controlled conditions but noted substantial translational gaps between lab and forensic settings. Called for more robust research before courtroom use. [045] (2012)Detecting Deception (book chapter)
Neuroimaging in Forensic Psychiatry: From the Clinic to the Courtroom The chapter concludes that while fMRI studies identified consistent neural correlates of deception in controlled laboratory settings, the technology in 2012 remained insufficiently validated for… [046] (2012)The contribution of the dorsolateral prefrontal cortex to the preparation for deception and truth-telling
Brain Research The left DLPFC was more activated during lie preparation than truth preparation in a left-lateralized pattern, but preparatory DLPFC activity was not uniquely specific to… [047] (2012)Review of Research on Detecting Deception Through Functional Magnetic Resonance Imaging (fMRI)
European Polygraph Laboratory studies demonstrated 76-90% accuracy in distinguishing lies from truth under controlled conditions, with consistent activation of prefrontal and anterior cingulate cortices during deception, though… [048] (2012)The possible role of an error detection mechanism in brain processing of deception
International Journal of Psychophysiology Both deceptive and honest manipulative actions activated overlapping brain networks including the bilateral prefrontal cortex, right anterior cingulate cortex, and right parietal regions. ACC activation… [049] (2012 • DECEPTION STUDY)The Neural Correlates of Deception: A Review and Integration
NeuroImage Activation likelihood estimate meta-analysis identifying prefrontal cortex and anterior cingulate as consistent neural correlates of deception across fMRI studies. Confirmed cognitive control theory of lying. [050] (2012)Lie-Detection, Neuroscience, and the Law of Evidence
SSRN Electronic Journal The paper's central thesis is that the Daubert standard inappropriately conflates scientific and legal standards, and that 'bad science' might be 'good evidence' in legal… [051] (2011)How the Brain Shapes Deception
Neuroscientist The dorsolateral prefrontal cortex and temporoparietal junction play crucial and dissociable roles in deception, with deception consistently recruiting more prefrontal executive resources than truth-telling; no… [052] (2011)The role of the dorsolateral prefrontal cortex in deception when remembering neutral and emotional events
Neuroscience Research The bilateral dorsolateral prefrontal cortex showed overlapping activation during deception about both neutral and emotional memories, demonstrating that the DLPFC serves as a domain-general executive… [053] (2011)How the brain shapes deception: an integrated review of the literature
Neuroscientist Converging evidence from fMRI, PET, and loss-of-function studies demonstrates that the prefrontal cortex, particularly dorsolateral and ventromedial regions, plays a predominant role in deception by… [054] (2011)Detecting of deception and concealed information using neuroimaging techniques
Memory Detection A ventral frontoparietal network involved in detecting behaviorally relevant stimuli and matching them with memory representations was recruited in both deception and concealed information paradigms,… [055] (2011)Brain fingerprint or lie detector: does Canada's polygraph jurisprudence apply to emerging forensic neuroscience technologies?
Information & Communications Technology Law Brain fingerprinting may escape Canada's polygraph ban because it detects memory recognition rather than lying per se, creating a potential loophole in Canadian evidence law.… [056] (2011 • fMRI COUNTERMEASURES)Lying in the Scanner: Covert Countermeasures Disrupt Deception Detection by Functional Magnetic Resonance Imaging
NeuroImage Demonstrated that covert countermeasures significantly reduced fMRI lie detection accuracy. Subjects trained in imperceptible finger movements disrupted brain activation patterns associated with deception. [057] (2011)The influence of fMRI lie detection evidence on juror decision-making
Behavioral Sciences and the Law fMRI lie detection evidence increased guilty verdicts to 76% compared to 47-56% for other conditions, representing a 20-29 percentage point inflation. This prejudicial effect was… [058] (2010)fMRI Lie Detection Fails a Legal Test
Science Judge Pham ruled fMRI lie detection inadmissible, finding no known error rates outside laboratory settings, no established standards for real-life application, and lack of general… [059] (2010)Lying about the valence of affective pictures: an fMRI study
PLoS ONE Neural activity during deception is significantly modulated by the emotional valence of the concealed information, with lying about positive pictures producing more extensive brain activation… [060] (2010)Neuroscience, lie-detection, and the law
Trends in Cognitive Sciences Schauer argues that although fMRI lie detection has significant scientific limitations, legal admissibility should depend on legal standards and comparative assessment against existing methods (like… [061] (2010)Brain mechanisms of deception
International Journal of Psychophysiology Regional cerebral blood flow assessment revealed anterior cingulate cortex involvement in deception, indicating that error detection mechanisms are fundamentally involved in processing deceptive behavior. [062] (2010)Emerging neurotechnologies for lie-detection: Where are we now?
American Journal of Bioethics Despite advances in laboratory fMRI and EEG-based deception detection, the authors found that critical gaps in measurement validity, standardization, countermeasure vulnerability, and predictive power in… [063] (2010)The production and detection of deception in an interactive game
Neuropsychologia Both claiming truthfully and falsely in a competitive game activated fronto-polar cortex (BA10), while false claims showed additional activity in premotor and parietal cortices. Deceptive… [064] (2010)P02-68 - Neural Correlates of the Processes of Deception: an fMRI Study
European Psychiatry Deceptive responses activated a distributed network including prefrontal, fusiform, supramarginal, postcentral, and angular regions, revealing the multi-stage cognitive architecture underlying deception about face recognition. [065] (2010)Functional Magnetic Resonance Imaging May Promote Theoretical Understanding of the Polygraph Test
Journal of Forensic Psychology and Psychiatry, 21, 52–65 Explored how fMRI research can advance understanding of the neural mechanisms underlying polygraph responses. Proposed that neuroimaging could provide construct validation for traditional polygraph measures. [066] (2009)Neural processes underlying self- and other-related lies: An individual difference approach using fMRI
Social Neuroscience Both hypotheses were confirmed: self-related and other-related lies rely on partially distinct rate-limiting brain regions, and a cingulate–insular–prefrontal network is critically involved in both types… [067] (2009)Portrait of a Lie
Scientific American Mind Lying consistently activates brain regions involved in suppressing information and resolving conflicts, particularly the anterior cingulate cortex and frontal lobes. Combined fMRI and physiological measures… [068] (2009)Can simultaneously acquired electrodermal activity improve accuracy of fMRI detection of deception?
Social Neuroscience Adding simultaneously acquired electrodermal activity to an established fMRI deception-detection paradigm did not improve classification accuracy beyond what fMRI alone achieved, suggesting substantial informational redundancy… [069] (2009)Are errors differentiable from deceptive responses when feigning memory impairment? An fMRI study
Brain and Cognition Intentional feigning of memory impairment uniquely activated the ventrolateral prefrontal cortex, posterior cingulate cortex, and precuneus, whereas unintentional errors produced no significant activation in these… [070] (2009)Visions of Deception: Neuroimages and the Search for Truth
Akron Law Review Neither fMRI-based lie detection nor Brain Fingerprinting/BEOS meets general acceptance or reliability standards for admissibility in U.S. courts; courts are urged to exercise restraint and… [071] (2009)The neurobiology of deception: evidence from neuroimaging and loss-of-function studies
Current Opinion in Neurology Converging evidence from fMRI and loss-of-function studies identifies the prefrontal cortex as the dominant neural substrate of deception, organizing the inhibition of true responses and… [072] (2009)In the Eye of the Beholder: Individual Differences in Perceived Social Isolation Predict Regional Brain Activation to Social Stimuli
Journal of Cognitive Neuroscience Lonely individuals showed significantly weaker ventral striatum activation to pleasant social stimuli and stronger activation to pleasant nonsocial stimuli compared to nonlonely individuals, forming a… [073] (2009)Replication of Functional MRI Detection of Deception
The Open Forensic Science Journal Twenty-five of twenty-nine participants (86%) were correctly identified as deceptive, and a Chi-Squared test (χ²=0.246, p=0.6197) confirmed no significant difference from the prior study's accuracy,… [074] (2009)Feature Selection for fMRI-based Deception Detection
BMC Bioinformatics Feature selection using an ensemble of filter and wrapper methods reduced the fMRI feature space from 65,166 to 124 voxels and significantly enhanced SVM classification… [075] (2009)Detection of deception using functional magnetic resonance imaging: well above chance, though well below perfection
Social Neuroscience No brain region could correctly detect deception across all individuals; medial prefrontal cortex showed the best performance at 71% accuracy with zero false positives, demonstrating… [076] (2009)Brain Imaging Research: The Detection of Deception Utilizing HD-ERP, fMRI, and Pupillometry
Deceptive responses showed significantly longer reaction times (100 ms delay) and lower accuracy than truthful responses. Brain imaging achieved approximately 85.3% accuracy in detecting deception,… [077] (2009)Lying about facial recognition: an fMRI study
Brain and Cognition Deception about facial recognition activated a right-lateralized network including the medial frontal gyrus, red nucleus, inferior frontal gyrus, supramarginal gyrus, superior frontal gyrus with ACC,… [078] (2009 • REPLICATION FAILURE)Functional MRI Detection of Deception After Committing a Mock Sabotage Crime
Journal of Forensic Sciences Used two mock crime paradigms sequentially. Found accuracy dropped from first to second scenario, raising concerns about reliability across different deception contexts. [079] (2009)Deception: Detection of and Brain Imaging
Wiley Encyclopedia of Forensic Science Brain imaging studies identified consistent neural signatures of deception in prefrontal cortex, anterior cingulate, and parietal regions, with accuracy rates typically under 90%. However, the… [080] (2009)Disclosing concealed information on the basis of cortical activations
NeuroImage The study achieved 84.21% accuracy in identifying subjects with concealed information based on right ventrolateral prefrontal cortex activation, with both sensitivity and specificity at 0.84. [081] (2008)Flickering Admissibility: Neuroimaging Evidence in the US Courts
Behavioral Sciences & the Law U.S. courts routinely admit structural neuroimaging (CT, MRI) but apply significantly greater skepticism to functional technologies such as PET, SPECT, and fMRI; neither fMRI lie… [082] (2008)Neural correlates of true memory, false memory, and deception
Cerebral Cortex fMRI successfully differentiated deliberate deception from false memory at a group level: the left middle frontal gyrus (dorsolateral PFC) reliably indexed intentional response manipulation, while… [083] (2008)Cooperation and deception recruit different subsets of the theory-of-mind network
PLoS One Deception reasoning elicited significantly higher activation in medial prefrontal cortex and inferior frontal cortex compared to cooperation, while temporoparietal junction showed greater activation during combined… [084] (2008)Looking for truth and finding lies: The prospects for a nascent neuroimaging of deception
Neurocase Deception consistently activates prefrontal and anterior cingulate cortices, while truthfulness appears to represent a cognitive baseline. However, significant variability across studies and ethical concerns limit… [085] (2008)Detecting concealed information using brain-imaging technology
Neurocase Neuroimaging-based deception detection faces substantial challenges including vulnerability to countermeasures, limited ecological validity of laboratory paradigms, and the fundamental limitation that decoding performs pattern recognition… [086] (2008 • NEAR-CHANCE)Detection of Deception Using fMRI: Better than Chance, but Well Below Perfection
Social Neuroscience, 2(1), 1–10 Honestly titled study finding fMRI detection was significantly better than chance but far from reliable enough for forensic use. Highlighted the gap between statistical significance… [087] (2008)Playing devil's advocate: The case against fMRI lie detection
Legal and Criminological Psychology Analysis revealed great variation between study findings and crucially, an absence of replication by investigators of their own findings, indicating basic reliability issues needed resolution… [088] (2008 • NEUROSCIENCE & LAW)Emerging Neurotechnologies for Lie Detection: Promises and Perils
American Journal of Bioethics, 5(2), 39–49 Examined ethical and legal implications of fMRI and other neuroscience-based lie detection. Discussed privacy rights, cognitive liberty, and potential for misuse in legal proceedings. [089] (2007)Neuroscience-Based Lie Detection: The Urgent Need for Regulation
American Journal of Law & Medicine fMRI-based lie detection exhibits significant scientific limitations including inadequate accuracy rates for field use, inability to distinguish between imagined and genuine memories, and lack of… [090] (2007)Anterior Cingulate and Prefrontal Activity as Correlates of Attention Switching and Consideration of Multiple Relations during Truthful and Deceptive Responses: A BOLD Imaging Study
The 12th annual meeting of the Cognitive Neuroscience Society The research identified distinct neural activation patterns in prefrontal and anterior cingulate regions associated with the attention switching and relational processing demands of deception, contributing… [091] (2007)Law & Psychiatry: The New Lie Detectors: Neuroscience, Deception, and the Courts
Psychiatric Services Neither fMRI nor brain-wave analysis met evidentiary standards for court use in 2007 due to insufficient validation data, with the author recommending judicial caution and… [092] (2007)Medical Devices New Frontier in Lie Detection
Biomedical Safety & Standards The analysis identified a regulatory vacuum for neuroscience-based lie detection and recommended prohibiting non-research use until technologies meet medical device standards for safety, effectiveness, and… [093] (2006)Lure of lie detectors spooks ethicists
Nature Multiple experts expressed significant concern that companies were rushing to commercialize fMRI lie detection technology despite insufficient scientific validation for real-world forensic applications, raising both… [094] (2006)True Lies: Delusions and Lie-Detection Technology
The Journal of Psychiatry & Law The authors propose that delusions could lead to objectively false statements that are nevertheless subjectively true and indistinguishable from truth by traditional polygraph measures, but… [095] (2006)Deception, Evolution, and the Brain
Evolutionary Cognitive Neuroscience The right prefrontal cortex is critical for both self-awareness and deception, with evidence suggesting these capacities evolved in concert. Only species capable of self-recognition demonstrate… [096] (2005)Neural correlates of feigned memory impairment
NeuroImage Bilateral activation of the prefrontal cortex, parietal cortex, anterior cingulate, and caudate nucleus during feigned memory impairment was invariant across different stimulus types, participant genders,… [097] (2005)Functional MRI Could Become Lie Detector
Clinical Psychiatry News fMRI and polygraph both accurately identified deceptive responses in all cases. Deception activated 14 brain areas while truth-telling activated only 7, suggesting lying is a… [098] (2005 • INDIVIDUAL DETECTION)Telling Truth from Lie in Individual Subjects with Fast Event-Related fMRI
Human Brain Mapping First quantitative estimate of fMRI deception detection in individuals. Achieved 78% accuracy at single-event level and 85% AUC using receiver operating characteristic analysis. [099] (2005 • MOCK CRIME fMRI)Detecting Deception Using Functional Magnetic Resonance Imaging
Biological Psychology / Psychiatry Mock crime fMRI study achieving 90% accuracy in identifying deceptive subjects at the individual level. Demonstrated potential for real-world forensic application of brain imaging. [100] (2005 • MACHINE LEARNING)Classifying Spatial Patterns of Brain Activity with Machine Learning Methods: Application to Lie Detection
NeuroImage Applied machine learning to fMRI data achieving up to 100% within-subject and 88% cross-subject classification. Demonstrated potential of multivariate pattern analysis for deception detection. [101] (2005)Emerging neurotechnologies for lie-detection: promises and perils
American Journal of Bioethics The paper identified that measurement validity of neurotechnologies for lie detection remained largely unknown, laboratory paradigms failed to replicate real-world deception contexts, and the field… [102] (2004)A Pilot Study of Functional Magnetic Resonance Imaging Brain Correlates of Deception in Healthy Young Men
Journal of Neuropsychiatry and Clinical Neurosciences Group-level fMRI analysis revealed consistent deception-related activation in the orbitofrontal cortex and anterior cingulate cortex, with EDA changes correlated to BOLD signal in these regions;… [103] (2004 • REPLICATION)A Replication Study of the Neural Correlates of Deception
Behavioral Neuroscience, 118, 852–856 Successfully replicated earlier fMRI deception findings. Confirmed anterior cingulate and prefrontal activation during deception is a robust and replicable finding. [104] (2004)A cognitive neurobiological account of deception: evidence from functional neuroimaging
Philosophical Transactions of the Royal Society of London Series B: Biological Sciences Deception consistently activates bilateral ventrolateral prefrontal cortex (VLPFC) and anterior cingulate cortex (ACC), with truthful responding showing no corresponding increased activation, suggesting lying requires greater… [105] (2002 • FOUNDATIONAL fMRI)Brain Activity During Simulated Deception: An Event-Related fMRI Study
NeuroImage First major fMRI deception study. Found increased anterior cingulate and prefrontal cortex activation during lying, establishing the neural basis for fMRI-based lie detection research. [106] (2002 • CHINESE STUDY)Lie Detection by Functional Magnetic Resonance Imaging
Human Brain Mapping First fMRI deception study with Chinese participants, showing cross-cultural consistency of neural deception patterns. Prefrontal activation during lying was not culture-specific. [107] (2001)Behavioral and Functional Anatomical Correlates of Deception in Humans
NeuroReport Lying was associated with significantly longer response times (p < 0.001) and greater bilateral ventrolateral prefrontal cortex activation (p < 0.05, corrected) compared to truthful… [108] (2001 • UK FOUNDATIONAL)Behavioural and Functional Anatomical Correlates of Deception in Humans
Neuroreport, 12, 2849–2853 UK team’s foundational fMRI deception study identifying ventrolateral prefrontal cortex activation as key deception correlate. Independently confirmed prefrontal involvement.Related research topics
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