The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Bottom-Up and Top-Down Processes in Emotion Generation: Common and Distinct Neural Mechanisms
Abstract
Emotions are generally thought to arise through the interaction of bottom-up and top-down processes. However, prior work has not delineated their relative contributions. In a sample of 20 females, we used functional magnetic resonance imaging to compare the neural correlates of negative emotions generated by the bottom-up perception of aversive images and by the top-down interpretation of neutral images as aversive. We found that (a) both types of responses activated the amygdala, although bottom-up responses did so more strongly; (b) bottom-up responses activated systems for attending to and encoding perceptual and affective stimulus properties, whereas top-down responses activated prefrontal regions that represent high-level cognitive interpretations; and (c) self-reported affect correlated with activity in the amygdala during bottom-up responding and with activity in the medial prefrontal cortex during top-down responding. These findings provide a neural foundation for emotion theories that posit multiple kinds of appraisal processes and help to clarify mechanisms underlying clinically relevant forms of emotion dysregulation.
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Cites
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495
Self-citationLooking at pictures: Affective, facial, visceral, and behavioral reactions
LANG, P. J., GREENWALD, M. K., BRADLEY, M. M., & HAMM, A. O. (1993) · Psychophysiology · doi:10.1111/j.1469-8986.1993.tb03352.x · Cited by 3,190
Image And Brain: The Resolution of the Imagery Debate
Kosslyn, S. M. (1994) · doi:10.7551/mitpress/3653.001.0001 · Cited by 1,977
Emotion and Cognition: Insights from Studies of the Human Amygdala
Phelps, E. A. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070234 · Cited by 1,798 · cited 5×
“…M anuscript N IH -PA Author M anuscript Although neuroscience methods have a similar potential in the domain of emotion, to date neuroscientists have focused primarily on the bottom-up processes involved in simple forms of affective perception, learning, and memory (LeDoux, 2000; Phelps, 2006).”
BackgroundMethodInfluentialPrefrontal-Subcortical Pathways Mediating Successful Emotion Regulation
Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A., & Ochsner, K. N. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.006 · Cited by 1,761
Self-citationWager, T. D., Phan, K. L., Liberzon, I., & Taylor, S. F. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00078-8 · Cited by 1,150
Cognitive Emotion Regulation: Insights From Social Cognitive and Affective Neuroscience
Ochsner, K. N., & Gross, J. J. (2008) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2008.00566.x · Cited by 988
Self-citationArchitectonic subdivision of the human orbital and medial prefrontal cortex
Öngür, D., Ferry, A. T., & Price, J. L. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10609 · Cited by 944
Research works printed but not linked: 24
- 10.1097/00001756-199810050-00028 · DOI · Paper page
- 10.1111/1467-9280.00126 · DOI · Paper page
- 10.1162/089892999563670 · DOI
- 10.1016/j.neuropsychologia.2007.06.015 · DOI · Paper page
- 10.1093/scan/nsl042 · DOI
- 10.1016/j.tics.2006.12.005 · DOI · Paper page
- 10.1111/j.1749-6632.1999.tb09273.x · DOI · Paper page
- 10.1523/JNEUROSCI.23-32-10274.2003 · DOI · Paper page
- 10.1037/0096-3445.122.2.139 · doi:10.1037/0096-3445.122.2.139 · Paper page
- 10.1075/aicr.54.06lan · DOI
- 10.1037/0003-066X.37.9.1019 · doi:10.1037/0003-066x.37.9.1019 · Paper page
- 10.1038/sj.npp.1300113 · DOI · Paper page
- 10.1162/0898929042947829 · DOI · Paper page
- 10.1016/j.neuroimage.2004.06.030 · DOI · Paper page
- 10.1016/S0006-3223(02)01485-3 · DOI · Paper page
- 10.1016/j.neuroimage.2004.12.015 · DOI · Paper page
- 10.1093/oso/9780195130072.001.0001 · DOI · Paper page
- Teasdale J.D., 1999, American Journal of Psychiatry, 156, 209, 10.1176/ajp.156.2.209 · DOI · Paper page
- 10.1111/j.0963-7214.2005.00359.x · DOI
- Wager T.D., 2008, Handbook of emotions, 249
- Washburn S.L., 1963, Classification and human evolution
- 10.1126/science.1103617 · DOI · Paper page
- 10.1016/j.neuroimage.2007.09.014 · DOI
- 10.1037/0003-066X.39.2.117 · doi:10.1037/0003-066x.39.2.117 · Paper page
Cited by
Cognitive Reappraisal of Emotion: A Meta-Analysis of Human Neuroimaging Studies
Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., Weber, J., & Ochsner, K. N. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht154 · Cited by 1,896
Self-citationOchsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879
Self-citationNigg, J. T. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12675 · Cited by 1,518
The role of sleep in emotional brain function
Goldstein, A. N., & Walker, M. P. (2014) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032813-153716 · Cited by 1,052
Interoception in anxiety and depression
Paulus, M. P., & Stein, M. B. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0258-9 · Cited by 952
Metadata
- Authors
- Ochsner, K. N., Ray, R. R., Hughes, B., McRae, K., Cooper, J. C., Weber, J., Gabrieli, J. D. E., & Gross, J. J.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2009-11
- Volume
- 20
- Issue
- 11
- Pages
- 1322-1331
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2107249607
- Cited by
- 523
- References
- 16
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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- Ochsner, K. N., Ray, R. R., Hughes, B., McRae, K., Cooper, J. C., Weber, J., Gabrieli, J. D. E., & Gross, J. J. (2009). Bottom-Up and Top-Down Processes in Emotion Generation: Common and Distinct Neural Mechanisms. Psychological Science. https://doi.org/10.1111/j.1467-9280.2009.02459.x
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