Encyclopedia of Personality and Individual Differences

Living Edition
| Editors: Virgil Zeigler-Hill, Todd K. Shackelford

Nonaffective Constraint

  • Eric A. FertuckEmail author
  • Robert D. Melara
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-28099-8_829-1


Nonaffective constraint is a personality trait concerned with the modulation of activity in motor, emotional, and cognitive domains.


Nonaffective constraint (NC) is a personality trait with roots in both neuroscience and personality research. Depue and Collins (1999) first conceptualized NC as a neuroregulatory system that modulates activity in motor, emotional, and cognitive domains. High levels of NC allows for greater levels of control over reactive behaviors, emotions, and cognitions (Depue and Lenzenweger 2015; Moore and Depue 2016). Rooted in a threshold model of behavioral reactivity, NC assumes a central neural contribution for such inhibition (see below). While there is no single neurobiological correlate for NC, self-report and neurocognitive tasks are well established in measuring NC at the behavioral level. Self-report instruments such as the constraint scale within the Multidimensional Personality Questionnaire (Tellegen 1982) assesses aspects of NC as well. Neurocognitive tasks such as the Go-No Go Task (Goldstein et al. 2007) and the Wisconsin Card Sorting Tasks (Heaton et al. 1993) represent performance-based measures of aspects of NC. The closest neighbor personality trait in the Five Factor Model to NA is Conscientiousness. However, Conscientiousness and NC have significant conceptual differences as well. Further, Conscientiousness is not rooted in basic neuroscience findings and includes elements of moral values and perfectionism not that are not central to NA.

Breakdowns in NA contribute to various forms of psychopathology, particularly through the trait of impulsivity, or, impaired NC (Eysenck and Eysenck 1977; Tellegen and Waller 1997). Attention Deficit Hyperactivity Disorder (Nigg 2001), substance use disorders (Jentsch and Taylor 1999), personality disorders (particularly borderline personality disorder) (Fertuck et al. 2005, 2006; Lenzenweger et al. 2004; Perez et al. 2016) and schizophrenia (Gut-Fayand et al. 2001) all exhibit impairments in NA in some form and degree. There is preliminary research indicating that effective treatment for borderline personality disorder is associated with improvement in NC at behavioral and neurofunctional levels (Perez et al. 2016). This increased NA was reflected in increased activity in prefrontal regions and decreased reactivity of fear processing regions (i.e., the amygdala) that occur in conjunction with symptom reduction.

Neurochemically, early animal models pointed to serotonergic pathways as possible neurochemical source of NC (Depue and Collins 1999), as serotonin depletion often triggers loss of behavioral inhibition (Spoont 1992). However, when NC is conceptualized as a more general inhibitory mechanism (Bari and Robbins 2013), recent evidence using the stop-signal task (which requires the withholding of prepotent responses) (Logan 1982, 1983) suggests that noradrenergic pathways predominate (Aston-Jones and Cohen 2005; Aston-Jones et al. 1999; Berridge and Waterhouse 2003; Sara 2009; Yu and Dayan 2005), especially for inhibition of behaviors already activated (Eagle et al. 2008; Robbins and Arnsten 2009), with only a minor contribution of the serotonergic system (Clark et al. 2005; Nandam et al. 2011; Overtoom et al. 2009). A recent suggestion (Aron 2011) divides NC into a reactive process that directly halts activated responses, perhaps noradrenergic through the involvement of the locus coeruleus and a proactive process that inhibits behaviors selectively, perhaps through the dopaminergic involvement of the striatum (Boehler et al. 2011).

Neuroanatomically, the executive management of NC is the purview of the prefrontal cortex (PFC). Here, a division of labor is evident, with motor inhibition controlled by the supplementary motor area (SMA) and pre-SMA (Aron and Poldrack 2006; Fried et al. 1991; Li et al. 2006), distractor and emotional inhibition controlled by the dorsolateral PFC (Delgado et al. 2008), and the monitoring of errors and conflict of competing responses by the anterior cingulate cortex (Botvinick et al. 2001; Holroyd and Coles 2002). Inhibitory control is seen as hierarchical, with PFC affecting a variety of cortical and subcortical brain regions through its projections to amygdala, hypothalamus, basal ganglia, premotor cortex, cingulate cortex, and posterior parietal cortex. Although originally conceived as a stable feature of the central nervous system, NC is amenable to neural plasticity, revealing long-lasting enhancements in inhibitory control following cognitive training interventions (Eldar and Bar-Haim 2010; Melara et al. 2002).



  1. Aron, A. R. (2011). From reactive to proactive and selective control: Developing a richer model for stopping inappropriate responses. Biological Psychiatry, 69(12), e55–e68.  https://doi.org/10.1016/j.biopsych.2010.07.024.CrossRefPubMedGoogle Scholar
  2. Aron, A. R., & Poldrack, R. A. (2006). Cortical and subcortical contributions to stop signal response inhibition: Role of the subthalamic nucleus. The Journal of Neuroscience, 26(9), 2424–2433.  https://doi.org/10.1523/JNEUROSCI.4682-05.2006.CrossRefPubMedGoogle Scholar
  3. Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28(1), 403–450.  https://doi.org/10.1146/annurev.neuro.28.061604.135709.CrossRefPubMedGoogle Scholar
  4. Aston-Jones, G., Rajkowski, J., & Cohen, J. (1999). Role of locus coeruleus in attention and behavioral flexibility. Biological Psychiatry, 46, 1309–1320.CrossRefGoogle Scholar
  5. Bari, A., & Robbins, T. W. (2013). Inhibition and impulsivity: Behavioral and neural basis of response control. Progress in Neurobiology, 108, 44–79.  https://doi.org/10.1016/j.pneurobio.2013.06.005.CrossRefPubMedGoogle Scholar
  6. Berridge, C. W., & Waterhouse, B. D. (2003). The locus coeruleus–noradrenergic system: Modulation of behavioral state and state-dependent cognitive processes. Brain Research Reviews, 42(1), 33–84.  https://doi.org/10.1016/s0165-0173(03)00143-7.CrossRefPubMedGoogle Scholar
  7. Boehler, C. N., Bunzeck, N., Krebs, R. M., Noesselt, T., Schoenfeld, M. A., Heinze, H. J., Munte, T. F., Woldorff, M. G., & Hopf, J. M. (2011). Substantia Nigra activity level predicts trial-to-trial adjustments in cognitive control. Journal of Cognitive Neuroscience, 23(2), 362–373.CrossRefGoogle Scholar
  8. Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108(3), 624–652.  https://doi.org/10.1037//0033-295X.I08.3.624.CrossRefPubMedGoogle Scholar
  9. Clark, L., Roiser, J. P., Cools, R., Rubinsztein, D. C., Sahakian, B. J., & Robbins, T. W. (2005). Stop signal response inhibition is not modulated by tryptophan depletion or the serotonin transporter polymorphism in healthy volunteers: Implications for the 5-HT theory of impulsivity. Psychopharmacology, 182(4), 570–578.  https://doi.org/10.1007/s00213-005-0104-6.CrossRefPubMedGoogle Scholar
  10. Delgado, M. R., Gillis, M. M., & Phelps, E. A. (2008). Regulating the expectation of reward via cognitive strategies. Nature Neuroscience, 11(8), 880–881.  https://doi.org/10.1038/nn.2141.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Depue, R. A., & Collins, P. F. (1999). Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation, and extraversion. Behavioral and Brain Sciences, 22(03).  https://doi.org/10.1017/s0140525x99002046.
  12. Depue, R. A., & Lenzenweger, M. F. (2015). Toward a developmental psychopathology of personality disturbance: A neurobehavioral dimensional model. In Developmental psychopathology. New York, NY: Wiley, (pp. 762–796).Google Scholar
  13. Eagle, D. M., Baunez, C., Hutcheson, D. M., Lehmann, O., Shah, A. P., & Robbins, T. W. (2008). Stop-signal reaction-time task performance: Role of prefrontal cortex and subthalamic nucleus. Cerebral Cortex, 18(1), 178–188.  https://doi.org/10.1093/cercor/bhm044.CrossRefPubMedGoogle Scholar
  14. Eldar, S., & Bar-Haim, Y. (2010). Neural plasticity in response to attention training in anxiety. Psychological Medicine, 40(4), 667–677.  https://doi.org/10.1017/S0033291709990766.CrossRefPubMedGoogle Scholar
  15. Eysenck, S. B., & Eysenck, H. J. (1977). The place of impulsiveness in a dimensional system of personality description. British Journal of Social and Clinical Psychology, 16, 57–68.  https://doi.org/10.1111/j.2044-8260.1977.tb01003.x/abstract.CrossRefPubMedGoogle Scholar
  16. Fertuck, E. A., Lenzenweger, M. F., & Clarkin, J. F. (2005). The association between attentional and executive controls in the expression of borderline personality disorder features: A preliminary study. Psychopathology, 38(2), 75–81.CrossRefGoogle Scholar
  17. Fertuck, E. A., Lenzenweger, M. F., Clarkin, J. F., Hoermann, S., & Stanley, B. (2006). Executive neurocognition, memory systems, and borderline personality disorder. Clinical Psychology Review, 26(3), 346–375.CrossRefGoogle Scholar
  18. Fried, I., Katz, A., McCarthy, G., Sass, K. J., Williamson, P., Spencer, S. S., & Spencer, D. D. (1991). Functional organization of human supplementary motor cortex studied by electrical stimulation. Journal of Neuroscience, 11(11), 3656–3666.CrossRefGoogle Scholar
  19. Goldstein, M., Brendel, G., Tuescher, O., Pan, H., Epstein, J., Beutel, M., et al. (2007). Neural substrates of the interaction of emotional stimulus processing and motor inhibitory control: An emotional linguistic go/no-go fMRI study. NeuroImage, 36(3), 1026–1040.  https://doi.org/10.1016/j.neuroimage.2007.01.056.CrossRefPubMedGoogle Scholar
  20. Gut-Fayand, A., Dervaux, A., Olié, J.-P., Lôo, H., Poirier, M.-F., & Krebs, M.-O. (2001). Substance abuse and suicidality in schizophrenia: A common risk factor linked to impulsivity. Psychiatry Research, 102(1), 65–72.  https://doi.org/10.1016/s0165-1781(01)00250-5.CrossRefPubMedGoogle Scholar
  21. Heaton, R. K., Chelune, G. J., Talley, J. L., Kay, G. G., & Curtis, G. (1993). Wisconsin card sorting test manual (Revised and Expanded ed.). Odessa: Psychological Assessment Resources.Google Scholar
  22. Holroyd, C. B., & Coles, M. G. H. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109(4), 679–709.  https://doi.org/10.1037//0033-295x.109.4.679.CrossRefPubMedGoogle Scholar
  23. Jentsch, J. D., & Taylor, J. R. (1999). Impulsivity resulting from frontostriatal dysfunction in drug abuse: Implications for the control of behavior by reward-related stimuli. Psychopharmacology, 146, 373–390.CrossRefGoogle Scholar
  24. Lenzenweger, M. F., Clarkin, J. F., Fertuck, E. A., & Kernberg, O. F. (2004). Executive neurocognitive functioning and neurobehavioral systems indicators in borderline personality disorder: A preliminary study. Journal of Personality Disorders, 18(5), 421–438.CrossRefGoogle Scholar
  25. Li, C. S., Huang, C., Constable, R. T., & Sinha, R. (2006). Imaging response inhibition in a stop-signal task: Neural correlates independent of signal monitoring and post-response processing. The Journal of Neuroscience, 26(1), 186–192.  https://doi.org/10.1523/JNEUROSCI.3741-05.2006.CrossRefPubMedGoogle Scholar
  26. Logan, G. D. (1982). On the ability to inhibit complex movements- a stop-signal study of typewriting. Journal of Experimental Psychology: Human Perception and Performance, 8, 778–792.Google Scholar
  27. Logan, G. D. (1983). On the ability to inhibit simple thoughts and actions: 1. Stop signal studies of decision and memory. Journal of Experimental Psychology: Learning, Memory and Cognition, 9, 585–606.Google Scholar
  28. Melara, R. D., Rao, A., & Tong, Y. (2002). The duality of selection: Excitatory and inhibitory processes in auditory selection attention. Journal of Experimental Psychology: Human Perception and Performance, 28(2), 279–306.  https://doi.org/10.1037//0096-1523.28.2.279.CrossRefPubMedGoogle Scholar
  29. Moore, S. R., & Depue, R. A. (2016). Neurobehavioral foundation of environmental reactivity. Psychological Bulletin, 142(2), 107–164.  https://doi.org/10.1037/bul0000028.CrossRefPubMedGoogle Scholar
  30. Nandam, L. S., Hester, R., Wagner, J., Cummins, T. D., Garner, K., Dean, A. J., et al. (2011). Methylphenidate but not atomoxetine or citalopram modulates inhibitory control and response time variability. Biological Psychiatry, 69(9), 902–904.  https://doi.org/10.1016/j.biopsych.2010.11.014.CrossRefPubMedGoogle Scholar
  31. Nigg, J. T. (2001). Is ADHD a disinhibitory disorder? Psychological Bulletin, 127(5), 571–598.CrossRefGoogle Scholar
  32. Overtoom, C. C., Bekker, E. M., van der Molen, M. W., Verbaten, M. N., Kooij, J. J., Buitelaar, J. K., & Kenemans, J. L. (2009). Methylphenidate restores link between stop-signal sensory impact and successful stopping in adults with attention-deficit/hyperactivity disorder. Biological Psychiatry, 65(7), 614–619.  https://doi.org/10.1016/j.biopsych.2008.10.048.CrossRefPubMedGoogle Scholar
  33. Perez, D. L., Vago, D. R., Pan, H., Root, J., Tuescher, O., Fuchs, B. H., … Stern, E. (2016). Frontolimbic neural circuit changes in emotional processing and inhibitory control associated with clinical improvement following transference-focused psychotherapy in borderline personality disorder. Psychiatry and Clinical Neurosciences, 70(1), 51–61.  https://doi.org/10.1111/pcn.12357.CrossRefGoogle Scholar
  34. Robbins, T. W., & Arnsten, A. F. (2009). The neuropsychopharmacology of fronto-executive function: Monoaminergic modulation. Annual Review of Neuroscience, 32, 267–287.  https://doi.org/10.1146/annurev.neuro.051508.135535.CrossRefPubMedPubMedCentralGoogle Scholar
  35. Sara, S. J. (2009). The locus coeruleus and noradrenergic modulation of cognition. Nature Reviews. Neuroscience, 10(3), 211–223.  https://doi.org/10.1038/nrn2573.CrossRefPubMedGoogle Scholar
  36. Spoont, M. (1992). Modulatory role of serotonin in neural information processing: Implications for human psychopathology. Psychological Bulletin, 112, 330–350.CrossRefGoogle Scholar
  37. Tellegen, A. (1982). Multidimensional personality questionnaire manual. Minneapolis: University of Minnesota Press.Google Scholar
  38. Tellegen, A., & Waller, N. G. (1997). Exploring personality through test construction: Development of the multidimensional personality questionnaire. In The SAGE Handbook of Personality Theory and Assessment: volume 2 – Personality Measurement and Testing. London, UK: Sage, (pp. 261–292).Google Scholar
  39. Yu, A. J., & Dayan, P. (2005). Uncertainty, neuromodulation, and attention. Neuron, 46(4), 681–692.  https://doi.org/10.1016/j.neuron.2005.04.026.CrossRefPubMedGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.City College and Graduate CenterCity University of New YorkNew York CityUSA
  2. 2.The City College of New York (CCNY)City University of New YorkNew York CityUSA

Section editors and affiliations

  • Patrizia Velotti
    • 1
    • 2
  1. 1.Department of Educational SciencesUniversity of GenoaGenoaItaly
  2. 2.Sapienza University of RomeRomeItaly