Meta-analytic connectivity modelling of deception-related brain regions

Abstract

Brain-based deception research began only two decades ago and has since included a wide variety of contexts and response modalities for deception paradigms. Investigations of this sort serve to better our neuroscientific and legal knowledge of the ways in which individuals deceive others. To this end, we conducted activation likelihood estimation (ALE) and meta-analytic connectivity modelling (MACM) using BrainMap software to examine 45 task-based fMRI brain activation studies on deception. An activation likelihood estimation comparing activations during deceptive versus honest behavior revealed 7 significant peak activation clusters (bilateral insula, left superior frontal gyrus, bilateral supramarginal gyrus, and bilateral medial frontal gyrus). Meta-analytic connectivity modelling revealed an interconnected network amongst the 7 regions comprising both unidirectional and bidirectional connections. Together with subsequent behavioral and paradigm decoding, these findings implicate the supramarginal gyrus as a key component for the sociocognitive process of deception.

Reputation risk during dishonest social decision-making modulates anterior insular and cingulate cortex activity and connectivity

“…When exploring the brain regions associated with lying relative to truth-telling regardless of the reputation risk and outcome factors, we found changes of activity in a prefrontal circuit, including the bilateral ACC and AI, the left dlPFC, the SMA, and the right caudate. The activation of these anterior regions of the brain is in good agreement with meta-analyses on the neural correlates of dishonesty 18–20,32 . In particular, activation in the ACC and the insula have been consistently found for deceptive compared to truthful behavior across a variety of tasks and stimuli.…”

Common and distinct neurofunctional representations of core and social disgust in the brain: Coordinate-based and network meta-analyses

“…The search terms for "MACM-B" are: (1) "Locations: MNI Image" used to upload the corresponding 10 mm spherical ROI in MNI space, (2) "Experiments: Activations, Activations only", (3) "Experiments: Context, Normal Mapping", (4) "Subjects: Diagnosis, Normals". This approach has been recommended by many researchers (Meier et al, 2021;Papitto et al, 2020), including the user manual for GingerALE (https://www.brainmap.org/ale/manual.pdf). This approach enables the investigation of brain region covariance above chance within a given seed ROI across a large and different pool of neuroimaging experiments from the functional database.…”