Literature DB >> 18925536

Neural processes underlying self- and other-related lies: an individual difference approach using fMRI.

Giorgio Ganis1, Robert R Morris, Stephen M Kosslyn.   

Abstract

Two hypotheses were tested using a novel individual differences approach, which identifies rate-limiting brain regions, that is, brain regions in which variations in neural activity predict variations in behavioral performance. The first hypothesis is that the rate-limiting regions that support the production of lies about oneself (self-related) are partially distinct from those underlying the production of lies about other individuals (other-related). The second hypothesis is that a cingulate-insular-prefrontal network found to be rate-limiting for interference tasks is involved in both types of lies. The results confirmed both hypotheses and supported the utility of this individual differences approach in the study of deception in particular, as well in the study of complex cognitive phenomena more generally.

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Year:  2009        PMID: 18925536     DOI: 10.1080/17470910801928271

Source DB:  PubMed          Journal:  Soc Neurosci        ISSN: 1747-0919            Impact factor:   2.083


  13 in total

1.  Functional MRI-based lie detection: scientific and societal challenges.

Authors:  Martha J Farah; J Benjamin Hutchinson; Elizabeth A Phelps; Anthony D Wagner
Journal:  Nat Rev Neurosci       Date:  2014-02       Impact factor: 34.870

2.  The role of anterior prefrontal cortex (area 10) in face-to-face deception measured with fNIRS.

Authors:  Paola Pinti; Andrea Devoto; Isobel Greenhalgh; Ilias Tachtsidis; Paul W Burgess; Antonia F de C Hamilton
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

3.  Neural correlates of spontaneous deception: A functional near-infrared spectroscopy (fNIRS)study.

Authors:  Xiao Pan Ding; Xiaoqing Gao; Genyue Fu; Kang Lee
Journal:  Neuropsychologia       Date:  2013-01-20       Impact factor: 3.139

4.  The neural correlates of identity faking and concealment: an FMRI study.

Authors:  Xiao Pan Ding; Xiaoxia Du; Du Lei; Chao Super Hu; Genyue Fu; Guopeng Chen
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

5.  A repeated lie becomes a truth? The effect of intentional control and training on deception.

Authors:  Xiaoqing Hu; Hao Chen; Genyue Fu
Journal:  Front Psychol       Date:  2012-11-12

6.  An electroencephalography network and connectivity analysis for deception in instructed lying tasks.

Authors:  Yue Wang; Wu Chun Ng; Khoon Siong Ng; Ke Yu; Tiecheng Wu; Xiaoping Li
Journal:  PLoS One       Date:  2015-02-13       Impact factor: 3.240

7.  Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis.

Authors:  Xiao Pan Ding; Si Jia Wu; Jiangang Liu; Genyue Fu; Kang Lee
Journal:  Sci Rep       Date:  2017-09-21       Impact factor: 4.379

8.  Do parkinsonian patients have trouble telling lies? The neurobiological basis of deceptive behaviour.

Authors:  Nobuhito Abe; Toshikatsu Fujii; Kazumi Hirayama; Atsushi Takeda; Yoshiyuki Hosokai; Toshiyuki Ishioka; Yoshiyuki Nishio; Kyoko Suzuki; Yasuto Itoyama; Shoki Takahashi; Hiroshi Fukuda; Etsuro Mori
Journal:  Brain       Date:  2009-03-31       Impact factor: 13.501

9.  Neural correlates of deception in social contexts in normally developing children.

Authors:  Susumu Yokota; Yasuyuki Taki; Hiroshi Hashizume; Yuko Sassa; Benjamin Thyreau; Mari Tanaka; Ryuta Kawashima
Journal:  Front Hum Neurosci       Date:  2013-05-17       Impact factor: 3.169

10.  Mapping the small-world properties of brain networks in deception with functional near-infrared spectroscopy.

Authors:  Jiang Zhang; Xiaohong Lin; Genyue Fu; Liyang Sai; Huafu Chen; Jianbo Yang; Mingwen Wang; Qi Liu; Gang Yang; Junran Zhang; Zhen Yuan
Journal:  Sci Rep       Date:  2016-04-29       Impact factor: 4.379

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