Principal component analysis and brain-based predictors of emotion regulation in anxiety and depression

Neurophysiological Markers of Regulation Success in Everyday Life in Depression

BACKGROUND

Self-regulation is often disrupted in depression and is characterized by negative affect and inflexible parasympathetic responses. However, our understanding of brain mechanisms of self-regulatory processes has largely been limited to laboratory contexts. Measuring individual differences in self-regulatory processes in everyday life-and their neural correlates-could inform our understanding of depression phenotypes and reveal novel intervention targets that impact everyday functioning.

METHODS

In individuals with remitted major depressive disorder and healthy comparison participants (N = 74), we measured 2 dimensions of regulation success in everyday life-perceived success with regulating affect and physiological success (parasympathetic augmentation following regulation attempts)-and their neural correlates using a functional magnetic resonance imaging emotion regulation task.

RESULTS

Perceptions of success were weakly associated with physiological success and had partially distinct neural correlates. Perceived success and physiological success in everyday life predicted reduced activity in brain regions involved in emotional salience while reacting to aversive stimuli in the scanner. During reappraisal in the scanner, greater perceived success in everyday life was dimensionally associated with more reappraisal-related activity in regions involved in cognitive control (including the dorsolateral and dorsomedial prefrontal cortices); in contrast, physiological success predicted enhanced downregulation of salience network activity (amygdala, insula).

CONCLUSIONS

Results suggest that linking psychophysiology with behavior in everyday life can provide a window into dissociable dimensions of self-regulatory functioning. Integrating ambulatory and brain-based metrics may elucidate self-regulatory phenotypes with distinct neurophysiological mechanisms and targets for intervention to impact functioning in daily life.

Shared and distinct prefrontal cortex alterations of implicit emotion regulation in depression and anxiety: An fNIRS investigation

BACKGROUND

Emotion regulation deficits, particularly in cognitive reappraisal, are crucial in depression and anxiety. However, research on the neural mechanisms of implicit emotion regulation is lacking, and it remains unclear whether these mechanisms are shared or distinct between the two disorders.

METHODS

We investigated the neural mechanisms of implicit cognitive reappraisal in 28 individuals with major depressive disorder (MDD), 25 with generalized anxiety disorder (GAD), and 30 healthy controls (HC) using functional near-infrared spectroscopy (fNIRS). Participants completed an implicit cognitive reappraisal task and underwent neuropsychological and clinical assessments.

RESULTS

We found that MDD patients reported higher levels of rumination and lower utilization of cognitive reappraisal, while GAD patients reported reduced use of perspective-taking. Notably, both MDD and GAD patients exhibited decreased activation in the dorsolateral prefrontal cortex (DLPFC) and orbitofrontal cortex (OFC) compared to HC participants during implicit cognitive reappraisal. Specifically, inadequate OFC activation was observed in MDD patients, while GAD patients demonstrated OFC deactivation during the task. Furthermore, DLPFC activation showed a negative correlation with depression severity in MDD patients, while OFC activation was positively correlated with perspective-taking in GAD patients.

LIMITATIONS

fNIRS has limited depth and spatial resolution.

CONCLUSION

Our fNIRS study is the first to reveal shared and distinct neurobiological profiles of depression and anxiety in implicit emotion regulation. These findings underscore the significance of reduced DLPFC/OFC activation in emotion regulation impairment and highlight unique OFC activation patterns in these disorders. These insights have potential implications for developing cognitive-behavioral therapy and transcranial magnetic stimulation as treatment approaches.