Individual differences in trait rumination and the neural systems supporting cognitive reappraisal

Ray, Ranjan; Ochsner, Kevin N.; Cooper, Jeffrey C.; Robertson, Elaine R.; Gabrieli, John D. E.; Gross, James J.

doi:10.3758/cabn.5.2.156

Cited by 291 publications

(244 citation statements)

References 73 publications

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“…The location of sustained activation is consistent with previous studies that reported a significant correlation between MedPFC activation and rumination (Ray et al, 2005) and MedPFC activation and mindfulness (Creswell et al, 2007). A whole-brain analysis utilizing the same threshold did not identify any other regions of the brain to display this pattern.…”

Section: Discussionsupporting

confidence: 89%

“…Although we did not obtain any individual difference scores on ruminative tendencies, the location of sustained MedPFC activity observed here is consistent with previous neuroimaging studies on rumination. For example, Ray et al (2005) noted that participants in their study were not constrained by task instructions during viewing of negative stimuli, and speculated that greater MedPFC activation in highly ruminative individuals could represent more self-reflective processing. Indeed, recent fMRI studies have observed greater MedPFC activity when participants were asked to attribute emotions to one's self Ochsner et al, 2005Ochsner et al, , 2004a.…”

Section: Discussionmentioning

confidence: 99%

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Stop the sadness: Neuroticism is associated with sustained medial prefrontal cortex response to emotional facial expressions

2008

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Neuroticism is a personality trait associated with negative mood states, sensitivity to negative information, negative appraisal and vulnerability to psychopathology. Previous studies have associated the sustained processing of negative information (words) with individual differences such as rumination and depression but not with personality. In the current study, we aimed to investigate the relationship between neuroticism and changes in sustained patterns of activity within a brain region implicated in emotional self-evaluation and appraisal, the Medial Prefrontal Cortex (MedPFC), when responding to emotional facial expressions (happy, fearful, and sad). We tested whether higher scores of neuroticism are associated with greater sustained patterns of brain activity in the MedPFC when responding to blocks of negative facial expressions. We found that higher scores of neuroticism were associated with greater sustained MedPFC activity throughout blocks of sad facial expressions, but not fearful or happy facial expressions. Based on the relationship between neuroticism and sensitivity to negative information, the current finding identifies a sustained temporal mechanism to this relationship.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Stop the sadness: Neuroticism is associated with sustained medial prefrontal cortex response to emotional facial expressions

2008

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“…MDD is also characterized by altered orbital frontal cortex activation in the context of processing rewards Smoski et al, 2009), anticipating rewards , and while processing sad distracting information (Elliott et al, 2002). Thus our finding of decreased connectivity between a DAN network hub and orbitofrontal gyrus may reflect the well-replicated finding of decreased cognitive control over emotion processing in MDD and prevailing neural models of MDD that highlight decreased modulatory control of prefrontal cortical brain regions over limbic brain regions, particularly in the context of emotion processing and emotion regulation (Johnstone et al, 2007;Joormann and Gotlib, 2010;Ray et al, 2005). Additionally, recent studies investigating response to antidepressant medications in MDD highlight that treatment response is associated with increased connectivity between prefrontal cortical and limbic brain regions, possibly implicating greater inhibitory control over neural circuits that process emotions in positive treatment response (Alexopoulos et al, 2012;Lai and Wu, 2012;Lui et al, 2011;Wu et al, 2011;Yang et al, 2014).…”

Section: Discussionmentioning

confidence: 50%

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

Crowther

Smoski

Minkel

et al. 2015

Neuropsychopharmacol

117

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Despite the heterogeneous symptom presentation and complex etiology of major depressive disorder (MDD), functional neuroimaging studies have shown with remarkable consistency that dysfunction in mesocorticolimbic brain systems are central to the disorder. Relatively less research has focused on the identification of biological markers of response to antidepressant treatment that would serve to improve the personalized delivery of empirically supported antidepressant interventions. In the present study, we investigated whether resting-state functional brain connectivity (rs-fcMRI) predicted response to Behavioral Activation Treatment for Depression, an empirically validated psychotherapy modality designed to increase engagement with rewarding stimuli and reduce avoidance behaviors. Twenty-three unmedicated outpatients with MDD and 20 matched nondepressed controls completed rs-fcMRI scans after which the MDD group received an average of 12 sessions of psychotherapy. The mean change in Beck Depression Inventory-II scores after psychotherapy was 12.04 points, a clinically meaningful response. Resting-state neuroimaging data were analyzed with a seed-based approach to investigate functional connectivity with four canonical resting-state networks: the default mode network, the dorsal attention network, the executive control network, and the salience network. At baseline, the MDD group was characterized by relative hyperconnectivity of multiple regions with precuneus, anterior insula, dorsal anterior cingulate cortex (dACC), and left dorsolateral prefrontal cortex seeds and by relative hypoconnectivity with intraparietal sulcus, anterior insula, and dACC seeds. Additionally, connectivity of the precuneus with the left middle temporal gyrus and connectivity of the dACC with the parahippocampal gyrus predicted the magnitude of pretreatment MDD symptoms. Hierarchical linear modeling revealed that response to psychotherapy in the MDD group was predicted by pretreatment connectivity of the right insula with the right middle temporal gyrus and the left intraparietal sulcus with the orbital frontal cortex. These results add to the nascent body of literature investigating pretreatment rs-fcMRI predictors of antidepressant treatment response and is the first study to examine rs-fcMRI predictors of response to psychotherapy.

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“…As mentioned in the introduction, the processing of negative information in healthy volunteers who report to ruminate has been associated with increased amygdala activation (Ray et al, 2005), a crucial brain region within the ventral circuitry.…”

Section: Depressive Brooding: the Processing Of Negative Informationmentioning

confidence: 99%

How brooding minds inhibit negative material: An event-related fMRI study

Vanderhasselt

Baeken

Schuerbeek

et al. 2013

Brain and Cognition

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Individual differences in trait rumination and the neural systems supporting cognitive reappraisal

Cited by 291 publications

References 73 publications

Stop the sadness: Neuroticism is associated with sustained medial prefrontal cortex response to emotional facial expressions

Stop the sadness: Neuroticism is associated with sustained medial prefrontal cortex response to emotional facial expressions

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

How brooding minds inhibit negative material: An event-related fMRI study

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