2018
DOI: 10.1016/j.biopsych.2017.10.030
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The Multifaceted Role of the Ventromedial Prefrontal Cortex in Emotion, Decision Making, Social Cognition, and Psychopathology

Abstract: The ventromedial prefrontal cortex (vmPFC) has been implicated in a variety of social, cognitive, and affective functions that are commonly disrupted in mental illness. In this review, we summarize data from a diverse array of human and animal studies demonstrating that the vmPFC is a key node of cortical and subcortical networks that subserve at least three broad domains of psychological function linked to psychopathology. One track of research indicates that the vmPFC is critical for the representation of re… Show more

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Cited by 697 publications
(541 citation statements)
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References 151 publications
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“…Lastly, the vmPFC is a large and heterogeneous region of the brain, which encompasses many subregions that may have different functional characteristics during periods of psychological stress. The vmPFC anatomical mask used in the present study likely encompassed many functionally distinct areas (Hiser & Koenigs, ). A study using a smaller vmPFC seed, specifically targeting the intersection of the default mode network and salience network, demonstrated vmPFC connectivity with the pgACC (perigenual anterior cigulate cortex), dorsal ACC, mid‐ACC, and left superior temporal gyrus positively correlated with heart rate variability (Jennings et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Lastly, the vmPFC is a large and heterogeneous region of the brain, which encompasses many subregions that may have different functional characteristics during periods of psychological stress. The vmPFC anatomical mask used in the present study likely encompassed many functionally distinct areas (Hiser & Koenigs, ). A study using a smaller vmPFC seed, specifically targeting the intersection of the default mode network and salience network, demonstrated vmPFC connectivity with the pgACC (perigenual anterior cigulate cortex), dorsal ACC, mid‐ACC, and left superior temporal gyrus positively correlated with heart rate variability (Jennings et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Because the mFP shows FC with several brain regions (Hiser & Koenigs, ; M. Roy, Shohamy, & Wager, ), we additionally performed seed‐based (mFP[R], i.e., MNI: x = 10, y = 63, z = 25) explorative whole brain FC analyses in SPM8 for graphical illustration ( p < .005 uncorrected). Only the 3 × 2 factorial MD‐ANOVA with the between‐subject‐factor stimulation‐group (1 Hz rTMS, sham TMS, 20 Hz rTMS) and the within‐subject‐factor session (Pre‐TMS, Post‐1‐TMS; see Section 3.2) was conducted.…”
Section: Resultsmentioning
confidence: 99%
“…Because the mFP shows FC with several brain regions (Hiser & Koenigs, 2018;M. Roy, Shohamy, & Wager, 2012), we additionally performed seed-based (mFP[R], i.e., MNI: x = 10, y = 63, z = 25) explorative whole brain FC analyses in SPM8 for graphical illustration (p < .005 uncorrected).…”
Section: Effects Of Rtms To Right Mfp On Right-mfpwhole-brain-fcmentioning
confidence: 99%
“…The vmPFC is involved with multiple brain functions that are linked to depression (Hiser & Koenigs, 2018), including reward and value-based decision making, generation and regulation of negative affect, and aspects of social cognition (Van Overwalle, 2009). The vmPFC is involved with multiple brain functions that are linked to depression (Hiser & Koenigs, 2018), including reward and value-based decision making, generation and regulation of negative affect, and aspects of social cognition (Van Overwalle, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Our machine learning analyses identified the ventromedial prefrontal cortex (vmPFC) to be driving the differentiation between depressed suicidal ideators and nonideators. The vmPFC is involved with multiple brain functions that are linked to depression (Hiser & Koenigs, 2018), including reward and value-based decision making, generation and regulation of negative affect, and aspects of social cognition (Van Overwalle, 2009). Surprisingly, there was little overlap between the statistical parametric maps obtained from the grouplevel univariate analysis with maps of informative features in the MVPA.…”
Section: Discussionmentioning
confidence: 99%