A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder
By M. L. Phillips, C. Ladouceur, W. C. Drevets. Molecular Psychiatry, 2008
1,373 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Psychiatry and Mental health, Social Psychology
View Paper: https://www.semanticscholar.org/paper/c62732a98e25a1b1ee70c78a4c9f3136425cf2e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- James J. Gross
- Hedy Kober
- Ethan Kross
- Jochen Weber
- David R. Vago
- Peter Mende-Siedlecki
- Murat Yücel
- Henrik Walter
In Psychiatry and Mental health
- Murat Yücel
- Henrik Walter
- Niels Birbaumer
- Peter T. Fox
- Hedy Kober
- Simon B. Eickhoff
- Gregory E. Miller
- Alex Fornito
In Social Psychology
- Kevin N. Ochsner
- Peter T. Fox
- Simon B. Eickhoff
- David R. Vago
- David Silbersweig
- Angela R. Laird
- Henrik Walter
- Rainer Goebel
Citations in the corpus
- Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group (2017, neutral): “73,74 The inferior temporal lobe—comprised of the middle and inferior temporal gyrus and the fusiform gyrus—has a major role in the ventral stream of visual processing and spatial awareness.”
- Self-awareness, self-regulation, and self-transcendence (S-ART): a framework for understanding the neurobiological mechanisms of mindfulness (2012, background): “The VLPFC has also shown to be active during such effortful and controlled processing including inhibition of set-switching, and inhibitory control (e.g., as in go-nogo tasks) (Posner and Petersen, 1990).”
- Gray matter abnormalities in Major Depressive Disorder: a meta-analysis of voxel based morphometry studies. (2012, background): “Abnormality in these regions is not surprising since ACC have a significant role in emotion regulation (Fan et al., 2011; Phillips et al., 2008).”
- Emotion Dysregulation in Attention Deficit Hyperactivity Disorder. (2016, background): “trolling the allocationof attentional resources in emotionally arousing contexts (77, 103).”
- Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis (2013, background): “As already introduced, the VLPFC (in conjunction with the anterior insula) plays a major role in generating and appraising emotion and affect (Ochsner and Gross, 2005; Phillips et al., 2008).”
- Early-Life Adversity and Physical and Emotional Health across the Lifespan: A Neuro-Immune Network Hypothesis (2015, background): “functions, impulse control, and voluntary emotion regulation (105).”
- Common and differential neural networks of emotion regulation by Detachment, Reinterpretation, Distraction, and Expressive Suppression: A comparative fMRI investigation (2014, background): “Thus, in our study, we did not confirm assumptions of Phillips et al. (2008) that Expressive Suppression is associated with DMPFC and VLPFC activation.”
- Real-time fMRI neurofeedback: Progress and challenges (2013, background): “One example of relevance to psychiatry is the putative networks for automatic and voluntary emotion regulation (Ochsner et al., 2012; Phillips et al., 2008), which provide multiple targets for region- or network-based neurofeedback training (Esmail and Linden, 2011; LaConte et al.”
- Prefrontal–striatal pathway underlies cognitive regulation of craving (2010, background): “These studies found that cognitive strategies can be used to decrease, maintain, or increasebothemotional responses (suchasnegativeemotionor fear) and activity in brain systems involved in generating emotion, such as the amygdala and/or insula (26, 27).”
- Emotional perception: Meta-analyses of face and natural scene processing (2011, background): “Considering the role of prefrontal structures ascribed to emotion regulation phenomena (Philips et al., 2008; Ochsner and Gross, 2007) the identification of clusters in this region across both face and scene meta-analyses is predictable.”