Neural correlates of causal attribution in negative events of depressed patients: Evidence from an fMRI study

Lei, Hao; Yang, Junyi; Wang, Yanqiu; Zhang, Songyan; Xie, Peng; Luo, Qiang; Ren, Gaoping; Qiu, Jiang

doi:10.1016/j.clinph.2014.10.146

Cited by 10 publications

(15 citation statements)

References 57 publications

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“…Morawetz et al 2015). Interestingly, this system is not only involved in the representation of reappraisal goals in healthy individuals (Morawetz et al 2015), but also in negatively biased self-referential attribution in depression (Hao et al 2015), thereby supporting the connection between self-focused reappraisal and attribution. Consistent with the idea of a 'negative cognitive triad' (Beck et al 1979), attributional biases are likely to limit patients' flexibility in emotion regulation.…”

Section: Up-regulation Vs Down-regulationmentioning

confidence: 69%

Imaging the up’s and down’s of emotion regulation in lifetime depression

Radke

Hoffstaedter

Löffler

et al. 2017

Brain Imaging and Behavior

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Reappraisal is a particularly effective strategy for influencing emotional experiences, specifically for reducing the impact of negative stimuli. Although depression has repeatedly been linked to dysfunctional behavioral and neural emotion regulation, prefrontal and amygdala engagement seems to vary with clinical characteristics and the specific regulation strategy used. Whereas previous neuroimaging research has focused on down-regulating reactions to emotionally evocative scenes, the current study compared up- and down-regulation in response to angry facial expressions in patients with depression and healthy individuals. During the initial viewing of faces, patients with depression showed hypoactivation particularly in areas implicated in emotion generation, i.e., amygdala, insula and putamen. In contrast, up-regulating negative emotions yielded stronger recruitment of core face processing areas and posterior medial frontal cortex in patients than in controls. However, group differences did not extend to resting-state functional connectivity. Recurrent depression was inversely associated with amygdala activation specifically during down-regulation, but differences in medication status may limit the current findings. Despite a pattern of reduced neural emotional reactivity in mainly medicated patients, their 'successful' recruitment of the regulation network for up-regulation might point toward an effective use of reappraisal when increasing negative emotions. Future studies need to address how patients might benefit from transferring this ability to adaptive goals, such as improving interpersonal emotion regulation.

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Section: Up-regulation Vs Down-regulationmentioning

confidence: 69%

Imaging the up’s and down’s of emotion regulation in lifetime depression

Radke

Hoffstaedter

Löffler

et al. 2017

Brain Imaging and Behavior

View full text Add to dashboard Cite

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“…We also found a significant positive relation between BDI and average controllability in several right hemisphere brain regions, including the IPL, lingual gyrus, fusiform, and cuneus. While still debated, a few studies have found atypical activation in the right IPL related to depression (Hao et al, 2015; Li, et al, 2015; Sheline, et al, 2009). Based on the role of the right IPL in attentional processing of emotional stimuli (Canli et al, 2004), Hao et al (2015) found that depressed patients exhibited higher IPL activation when processing sad emotional stimuli.…”

Section: Discussionmentioning

confidence: 99%

A Computational Network Control Theory Analysis of Depression Symptoms

Kenett

Beaty

Medaglia

2018

Personality Neuroscience

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Rumination and impaired inhibition are considered core characteristics of depression. However, the neurocognitive mechanisms that contribute to these atypical cognitive processes remain unclear. To address this question, we apply a computational network control theory (NCT) approach to structural brain imaging data acquired via diffusion tensor imaging in a large sample of participants, to examine how NCT relates to individual differences in subclinical depression. Recent application of this theory at the neural level is built on a model of brain dynamics, which mathematically models patterns of inter-region activity propagated along the structure of an underlying network. The strength of this approach is its ability to characterize the potential role of each brain region in regulating whole-brain network function based on its anatomical fingerprint and a simplified model of node dynamics. We find that subclinical depression is negatively related to higher integration abilities in the right anterior insula, replicating and extending previous studies implicating atypical switching between the default mode and executive control networks in depression. We also find that subclinical depression is related to the ability to “drive” the brain system into easy to reach neural states in several brain regions, including the bilateral lingual gyrus and lateral occipital gyrus. These findings highlight brain regions less known in their role in depression, and clarify their roles in driving the brain into different neural states related to depression symptoms.

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“…relating positive events to the self) represents a further reappraisal strategy, which involves more self-related processing. Research showed that in both depressed patients and controls, making causal attributions relies on a fronto-temporo-parietal network ( Hao et al, 2015 ; Kestemont et al, 2015 ; Seidel et al, 2012 ). In particular, the precuneus, a region linked to self-referential processing and understanding the causes of social behavior, seems to be critical for attribution ( Cabanis et al, 2013 ; Grimm et al, 2009 ; Kestemont et al, 2015 ; Seidel et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

“…Third, during emotion regulation (i.e. internal/external attribution > no regulation; internal attribution positive > external attribution positive; external attribution negative > internal attribution negative), we expected activation in brain structures related to self-referential processing such as the precuneus ( Cabanis et al, 2013 ; Hao et al, 2015 ; Seidel et al, 2012 ) as well as in the cognitive emotion regulation network, which is generally activated during reappraisal ( Kohn et al, 2014 ; Carmen Morawetz et al, 2017 ). Fourth, MDD compared to HC were expected to show impaired emotion regulation, reflected in differences in subjective emotion ratings during regulation (i.e.…”

Section: Introductionmentioning

confidence: 99%

The regulation of positive and negative emotions through instructed causal attributions in lifetime depression – A functional magnetic resonance imaging study

Loeffler

Radke

Habel

et al. 2018

NeuroImage: Clinical

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Adequate emotional control is essential for mental health. Deficiencies in emotion regulation are evident in many psychiatric disorders, including depression. Patients with depression show, for instance, disrupted neural emotion regulation in cognitive regulation regions such as lateral and medial prefrontal cortices. Since depressed individuals tend to attribute positive events to external circumstances and negative events to themselves, modifying this non-self-serving attributional style may represent a promising regulation strategy. Spontaneous causal attributions are generally processed in medial brain structures, particularly the precuneus. However, so far no study has investigated neural correlates of instructed causal attributions (e.g. instructing a person to intentionally relate positive events to the self) and their potential to regulate emotions. The current study therefore aimed to examine how instructed causal attributions of positive and negative events affect the emotional experience of depressed individuals as well as its neural bases. For this purpose pictures of sad and happy faces were presented to 26 patients with a lifetime major depression (MDD) and 26 healthy controls (HC) during fMRI. Participants should respond naturally (“view”) or imagine that the person on the picture was sad/happy because of them (“internal attribution”) or because something else happened (“external attribution”). Trait attributional style and depressive symptoms were assessed with questionnaires to examine potential influential factors on emotion regulation ability.Results revealed that patients compared to controls show a non-self-serving trait attributional style (i.e. more external attributions of positive events and more internal attributions of negative events). Intriguingly, when instructed to apply specific causal attributions during the emotion regulation task, patients and controls were similarly able to regulate positive and negative emotions. Regulating emotions through instructed attributions (internal/external attribution>view) generally engaged the precuneus, which was correlated with patients' trait attributional style (i.e. more precuneus activation during external>view was linked to a general tendency to relate positive events to external sources). Up-regulating happiness through internal (compared to external) attributions recruited the parahippocampal gyrus only in controls. The down-regulation of sadness (external>internal attribution), in contrast, engaged the superior frontal gyrus only in patients. Superior frontal gyrus activation thereby correlated with depression severity, which implies a greater need of cognitive resources for a successful regulation in more severely depressed. Patients and controls did not differ in activation in brain regions related to cognitive emotion regulation or attribution. However, results point to a disturbed processing of positive emotions in depression. Interestingly, increased precuneus resting-state connectivity with emotion regulation brain regions (inferior...

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Neural correlates of causal attribution in negative events of depressed patients: Evidence from an fMRI study

Cited by 10 publications

References 57 publications

Imaging the up’s and down’s of emotion regulation in lifetime depression

Imaging the up’s and down’s of emotion regulation in lifetime depression

A Computational Network Control Theory Analysis of Depression Symptoms

The regulation of positive and negative emotions through instructed causal attributions in lifetime depression – A functional magnetic resonance imaging study

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