The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology
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The circumplex model of affect proposes that all affective states arise from cognitive interpretations of core neural sensations that are the product of two independent neurophysiological systems. This model stands in contrast to theories of basic emotions, which posit that a discrete and independent neural system subserves every emotion. We propose that basic emotion theories no longer explain adequately the vast number of empirical observations from studies in affective neuroscience, and we suggest that a conceptual shift is needed in the empirical approaches taken to the study of emotion and affective psychopathologies. The circumplex model of affect is more consistent with many recent findings from behavioral, cognitive neuroscience, neuroimaging, and developmental studies of affect. Moreover, the model offers new theoretical and empirical approaches to studying the development of affective disorders as well as the genetic and cognitive underpinnings of affective processing within the central nervous system. This work was supported in part by NIMH Grants MH01232, MH59139, MH36197, MHK02-74677, and MH068318; a grant from the National Alliance for Research in Schizophrenia and Affective Disorders (NARSAD); NSF Grant BSC-0421702; and funding from the Thomas D. Klingenstein and Nancy D. Perlman Family Fund and the Suzanne Crosby Murphy Endowment at Columbia University.
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These opposite effects on ISC fit with proposed distinction between valence and arousal representations in brain and highlight neurobehavioral functions that emotional arousal and valence may have in human social interaction.
“These opposite effects on ISC fit with the proposed distinction between valence and arousal representations in the brain (31,32) and they also highlight the neurobehavioral functions that emotional arousal and valence may have in human social interaction.”
From Emotions promote social interaction by synchronizing brain activity across individuals (2012) · cites this paper as [32]
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- Authors
- POSNER, J., RUSSELL, J. A., & PETERSON, B. S.
- Affiliations
- New York State Psychiatric Institute (US)
- Boston College (US)
- Venue
- Development and Psychopathology
- Publisher
- Cambridge University Press (CUP)
- Published
- 2005-09
- Volume
- 17
- Issue
- 3
- Pages
- 715-734
- ISSN
- 0954-5794 (ISSN-L)
- 1469-2198
- PMC
- PMC2367156
- OpenAlex
- W2165857685
- Cited by
- 2,602
- References
- 149
- Citations by year
- 2026: 161 · 2025: 177 · 2024: 226 · 2023: 213 · 2022: 240 · 2021: 266 · 2020: 222 · 2019: 170 · 2018: 225 · 2017: 174 · 2016: 127 · 2015: 73 · 2014: 58 · 2013: 61 · 2012: 51
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Development and Psychopathology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH‐K02‐74677, MH 36197, R01MH036197, MH59139, R01MH059139, MH-01232, R01MH068318, MH 068318, K08MH001232)
- National Institute on Drug Abuse (R01DA017820)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- circumplex model of affect, basic emotions, affective neuroscience, cognitive development, mood disorders, neural systems, emotion theory
- MeSH terms
- Affect, Arousal, Mental Disorders, Brain, Cognition, Facial Expression, Humans, Nerve Net, Neurosciences, Psychological Theory, Temperament, Visual Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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