Understanding the minds of others: A neuroimaging meta-analysis

Molenberghs, Pascal; Johnson, Halle; Henry, Julie D.; Mattingley, Jason B.

doi:10.1016/j.neubiorev.2016.03.020

Cited by 427 publications

(460 citation statements)

References 81 publications

(121 reference statements)

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“…This argument was supported by our results showing that the functional connectivity between the rLOFC and the brain network typically associated with intention/mentalizing processing (including dmPFC, TPJ, and precuneus; Molenberghs et al, 2016) was predictive of the effect of intention on norm compliance. Moreover, the functional connectivity (Partner_Waive Ͼ Computer_Waive) between the bilateral insula and the rLOFC positively correlated with the increase in norm compliance behavior.…”

Section: Discussionsupporting

confidence: 71%

“…Given that the vmPFC and the LOFC were found to play an important role in mediating the relationship between the processing of intention behind punishment threat and norm compliance behavior (see Results), a further question that naturally follows is: from which brain regions does the information concerning other's intention come? If our hypothesis is correct (i.e., that the responses of vmPFC and LOFC to punishment threat are modulated by the processing of intention), then we should observe functional interplay between the vmPFC and LOFC, on the one hand, and the typical intention processing/mentalizing network (e.g., dorsomedial prefrontal cortex, dmPFC; temporoparietal junction, TPJ; precuneus; Molenberghs et al, 2016), on the other hand. To test this conjecture, we performed a PPI analysis (Friston et al, 1997) using the vmPFC and the LOFC identified in our whole-brain analysis as seed regions.…”

Section: Neuroimaging Data Analysismentioning

confidence: 81%

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Intention Modulates the Effect of Punishment Threat in Norm Enforcement via the Lateral Orbitofrontal Cortex

Zhang

Yin

et al. 2016

Journal of Neuroscience

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Although economic theories suggest that punishment threat is crucial for maintaining social norms, counterexamples are noted in which punishment threat hinders norm compliance. Such discrepancy may arise from the intention behind the threat: unintentionally introduced punishment threat facilitates, whereas intentionally introduced punishment threat hinders, norm compliance. Here, we combined a dictator game and fMRI to investigate how intention modulates the effect of punishment threat on norm compliance and the neural substrates of this modulation. We also investigated whether this modulation can be influenced by brain stimulation. Human participants divided an amount of money between themselves and a partner. The partner (intentionally) or a computer program (unintentionally) decided to retain or waive the right to punish the participant upon selfish distribution. Compared with the unintentional condition, participants allocated more when the partner intentionally waived the power of punishment, but less when the partner retained such power. The right lateral orbitofrontal cortex (rLOFC) showed higher activation when the partner waived compared with when the computer waived or when the partner retained the power. The functional connectivity between the rLOFC and the brain network associated with intention/mentalizing processing was predictive of the allocation difference induced by intention. Moreover, inhibition or activation of the rLOFC by brain stimulation decreased or increased, respectively, the participants' reliance on the partner's intention during monetary allocation. These findings demonstrate that the perceived intention of punishment threat plays a crucial role in norm compliance and that the LOFC is casually involved in the implementation of intention-based cooperative decisions.

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Section: Discussionsupporting

confidence: 71%

Section: Neuroimaging Data Analysismentioning

confidence: 81%

Intention Modulates the Effect of Punishment Threat in Norm Enforcement via the Lateral Orbitofrontal Cortex

Zhang

Yin

et al. 2016

Journal of Neuroscience

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“…The TPJ is part of the ventral attention network [44] and usually activated in fMRI studies by reorienting attention to salient stimuli [45]. The TPJ is involved in controlling theory of mind-related abilities [46], which were recently shown to be significantly reduced in MD [47] (although see negative results e.g., ref. [48]).…”

Section: Discussionmentioning

confidence: 99%

The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

et al. 2018

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Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials.

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“…This replicates a prior finding in adults (Mueller et al, 2015) and suggests that PTSD-related network abnormalities in the insula and inferior frontal areas are consistent between youth and adults. Additionally, maltreated youth with and without PTSD compared to non-maltreated controls showed smaller centrality in the right temporal pole, an area that is associated with social cognition (Hillis, 2014; Molenberghs et al, 2016). These findings advance our understanding of brain network abnormalities in youth exposed to maltreatment and in maltreated youth with PTSD.…”

Section: Discussionmentioning

confidence: 99%

“…The TP is involved in several socially relevant cognitive processes, particularly theory of mind (Molenberghs et al, 2016), which reflects the ability of an individual to attribute mental states to others. Childhood maltreatment may be associated with reductions in social cognitive ability as well as related disruptions to brain networks involving the TP.…”

Section: Discussionmentioning

confidence: 99%

Structural covariance network centrality in maltreated youth with posttraumatic stress disorder

Sun

Peverill

Swanson

et al. 2018

Journal of Psychiatric Research

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Childhood maltreatment is associated with posttraumatic stress disorder (PTSD) and elevated rates of adolescent and adult psychopathology including major depression, bipolar disorder, substance use disorders, and other medical comorbidities. Gray matter volume changes have been found in maltreated youth with (versus without) PTSD. However, little is known about the alterations of brain structural covariance network topology derived from cortical thickness in maltreated youth with PTSD. High-resolution T1-weighted magnetic resonance imaging scans were from demographically matched maltreated youth with PTSD (N = 24), without PTSD (N =64), and non-maltreated healthy controls (n = 67). Cortical thickness data from 148 cortical regions was entered into interregional partial correlation analyses across participants. The supra-threshold correlations constituted connections in a structural brain network derived from four types of centrality measures (degree, betweenness, closeness, and eigenvector) estimated network topology and the importance of nodes. Between-group differences were determined by permutation testing. Maltreated youth with PTSD exhibited larger centrality in left anterior cingulate cortex than the other two groups, suggesting cortical network topology specific to maltreated youth with PTSD. Moreover, maltreated youth with versus without PTSD showed smaller centrality in right orbitofrontal cortex, suggesting that this may represent a vulnerability factor to PTSD following maltreatment. Longitudinal follow-up of the present results will help characterize the role that altered centrality plays in vulnerability and resilience to PTSD following childhood maltreatment.

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Understanding the minds of others: A neuroimaging meta-analysis

Cited by 427 publications

References 81 publications

Intention Modulates the Effect of Punishment Threat in Norm Enforcement via the Lateral Orbitofrontal Cortex

Intention Modulates the Effect of Punishment Threat in Norm Enforcement via the Lateral Orbitofrontal Cortex

The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

Structural covariance network centrality in maltreated youth with posttraumatic stress disorder

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