The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology
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Abstract
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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The record
- Venue
- Development and Psychopathology
- Topic
- Neural dynamics and brain function
- Field
- Neuroscience
- Canadian institutions
- Columbia College
- Funders
- National Institute on Drug AbuseNational Institute of Mental Health
- Keywords
- PsychologyAffect (linguistics)Affective neuroscienceCognitionCognitive psychologyCognitive neuroscienceAffective scienceNeuroimagingCognitive scienceSchizophrenia (object-oriented programming)Developmental cognitive neuroscienceFunctional neuroimagingNeuroscience
- Has abstract in OpenAlex
- yes