Literature DB >> 25475493

Applications of neuroscience in criminal law: legal and methodological issues.

John B Meixner1.   

Abstract

The use of neuroscience in criminal law applications is an increasingly discussed topic among legal and psychological scholars. Over the past 5 years, several prominent federal criminal cases have referenced neuroscience studies and made admissibility determinations regarding neuroscience evidence. Despite this growth, the field is exceptionally young, and no one knows for sure how significant of a contribution neuroscience will make to criminal law. This article focuses on three major subfields: (1) neuroscience-based credibility assessment, which seeks to detect lies or knowledge associated with a crime; (2) application of neuroscience to aid in assessments of brain capacity for culpability, especially among adolescents; and (3) neuroscience-based prediction of future recidivism. The article briefly reviews these fields as applied to criminal law and makes recommendations for future research, calling for the increased use of individual-level data and increased realism in laboratory studies.

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Year:  2015        PMID: 25475493     DOI: 10.1007/s11910-014-0513-1

Source DB:  PubMed          Journal:  Curr Neurol Neurosci Rep        ISSN: 1528-4042            Impact factor:   5.081


  41 in total

1.  Detecting deception using functional magnetic resonance imaging.

Authors:  F Andrew Kozel; Kevin A Johnson; Qiwen Mu; Emily L Grenesko; Steven J Laken; Mark S George
Journal:  Biol Psychiatry       Date:  2005-09-26       Impact factor: 13.382

2.  Telling truth from lie in individual subjects with fast event-related fMRI.

Authors:  Daniel D Langleben; James W Loughead; Warren B Bilker; Kosha Ruparel; Anna Rose Childress; Samantha I Busch; Ruben C Gur
Journal:  Hum Brain Mapp       Date:  2005-12       Impact factor: 5.038

3.  Premarket approval regulation for lie detections: an idea whose time may be coming.

Authors:  Henry T Greely
Journal:  Am J Bioeth       Date:  2005       Impact factor: 11.229

4.  Combating automatic autobiographical associations: the effect of instruction and training in strategically concealing information in the autobiographical implicit association test.

Authors:  Xiaoqing Hu; J Peter Rosenfeld; Galen V Bodenhausen
Journal:  Psychol Sci       Date:  2012-08-15

5.  fMRI investigation of the cognitive structure of the Concealed Information Test.

Authors:  J G Hakun; D Seelig; K Ruparel; J W Loughead; E Busch; R C Gur; D D Langleben
Journal:  Neurocase       Date:  2008       Impact factor: 0.881

6.  Seeing responsibility: can neuroimaging teach us anything about moral and legal responsibility?

Authors:  David Wasserman; Josephine Johnston
Journal:  Hastings Cent Rep       Date:  2014 Mar-Apr       Impact factor: 2.683

7.  Detecting knowledge of incidentally acquired, real-world memories using a P300-based concealed-information test.

Authors:  John B Meixner; J Peter Rosenfeld
Journal:  Psychol Sci       Date:  2014-09-17

8.  Using Brain Imaging for Lie Detection: Where Science, Law and Research Policy Collide.

Authors:  Daniel D Langleben; Jane Campbell Moriarty
Journal:  Psychol Public Policy Law       Date:  2013-05-01

9.  A replication study of the neural correlates of deception.

Authors:  Frank Andrew Kozel; Tamara M Padgett; Mark S George
Journal:  Behav Neurosci       Date:  2004-08       Impact factor: 1.912

10.  A comment on Farwell (2012): brain fingerprinting: a comprehensive tutorial review of detection of concealed information with event-related brain potentials.

Authors:  Ewout H Meijer; Gershon Ben-Shakhar; Bruno Verschuere; Emanuel Donchin
Journal:  Cogn Neurodyn       Date:  2012-08-14       Impact factor: 5.082

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  1 in total

1.  Scientific Thinking About Legal Truth.

Authors:  Gal Rosenzweig
Journal:  Front Psychol       Date:  2022-07-06
  1 in total

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