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Reply to: Context matters for affective chronometry

The Original Article was published on 27 April 2020

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Fig. 1: Evaluating how different study determinants impact the SNR.
Fig. 2: Comparing PA and NA SNRs in traditional versus event-related ESM studies.

Data availability

We rely on the original datasets reported in Dejonckheere, Mestdagh, et al.1, of which two are publicly available from the Open Science Framework (http://osf.io/zm6uw). Restrictions apply to the availability of the other datasets, as they were used under license for that particular study, and so are not publicly available. The data for Dejonckheere et al.25 can be found on the Open Science Framework (https://osf.io/yte2w/).

Code availability

All analyses reported in this reply were conducted in MATLAB (R2017a)24. The code for reproducing our results is provided in the Supplementary MATLAB Code, and is available from the Open Science Framework (http://osf.io/zm6uw).

References

  1. Dejonckheere, E. et al. Complex affect dynamics add limited information to the prediction of psychological well-being. Nat. Hum. Behav. 3, 478–491 (2019).

    Article  Google Scholar 

  2. Lapate, R. C. & Heller, A. S. Context matters for affective chronometry. Nat. Hum. Behav. https://doi.org/10.1038/s41562-020-0860-7 (2020).

  3. Heller, A. S. et al. Reduced capacity to sustain positive emotion in major depression reflects diminished maintenance of fronto-striatal brain activation. Proc. Natl Acad. Sci. USA 106, 22445–22450 (2009).

    Article  CAS  Google Scholar 

  4. Heller, A. S. et al. Sustained striatal activity predicts eudaimonic well-being and cortisol output. Psychol. Sci. 24, 2191–2200 (2013).

    Article  Google Scholar 

  5. Javaras, K. N. et al. Conscientiousness predicts greater recovery from negative emotion. Emotion 12, 875–881 (2012).

    Article  Google Scholar 

  6. Lapate, R. C. et al. Prolonged marital stress is associated with short-lived responses to positive stimuli. Psychophysiology 51, 499–509 (2014).

    Article  Google Scholar 

  7. Schaefer, S. M. et al. Purpose in life predicts better emotional recovery from negative stimuli. PLoS ONE 8, e80329(2013).

    Article  Google Scholar 

  8. McMakin, D. L., Santiago, C. D. & Shirk, S. R. The time course of positive and negative emotion in dysphoria. J. Posit. Psychol. 4, 182–192 (2009).

    Article  Google Scholar 

  9. Metalsky, G. I., Joiner, T. E., Hardin, T. S. & Abramson, L. Y. Depressive reactions to failure in a naturalistic setting: a test of the hopelessness and self-esteem theories of depression. J. Abnorm 102, 101–109 (1993).

    Article  CAS  Google Scholar 

  10. Schuurman, N. K., Houtveen, J. H. & Hamaker, E. L. Incorporating measurement error in n = 1 psychological autoregressive modelling. Front Psychol. 28, 1038(2015).

    Google Scholar 

  11. Kuppens, P., Oravecz, Z. & Tuerlinckx, F. Feelings change: accounting for individual differences in the temporal dynamics of affect. J. Pers. Soc. Psychol. 99, 1042–1060 (2010).

    Article  Google Scholar 

  12. Rottenberg, J. & Hindash, A. C. Emerging evidence for emotion context insensitivity in depression. Curr. Opin. Psychol. 4, 1–5 (2015).

    Article  Google Scholar 

  13. Dejonckheere, E., Bastian, B., Fried, E. I., Murphy, S. & Kuppens, P. Perceiving social pressure not to feel negative predicts depressive symptoms in daily life. Depress. Anxiety 34, 836–844 (2017).

    Article  Google Scholar 

  14. Heininga, V. E. et al. The dynamical signature of anhedonia in major depressive disorder: positive emotion dynamics, reactivity, and recovery. BMC Psychiatry 19, 59 (2019).

    Article  Google Scholar 

  15. Houben, M. et al. Emotional switching in borderline personality disorder: a daily life study. J. Pers. Disord. 7, 50–60 (2016).

    Article  Google Scholar 

  16. Koval, P., Pe, M. L., Meers, K. & Kuppens, P. Affect dynamics in relation to depressive symptoms: variable, unstable or inert? Emotion 13, 1132–1141 (2013).

    Article  Google Scholar 

  17. Pe, M. L., Brose, A., Gotlib, I. H. & Kuppens, P. Affective updating ability and stressful events interact to prospectively predict increases in depressive symptoms over time. Emotion 16, 73–82 (2016).

    Article  Google Scholar 

  18. Schmiedek, F., Lövdén, M. & Lindenberger, U. Hundred days of cognitive training enhance broad cognitive abilities in adulthood: findings from the COGITO study. Front. Aging Neurosci. 2, 1–27 (2010).

    Google Scholar 

  19. Sels, L., Ceulemans, E. & Kuppens, P. Partner-expected affect: how you feel now is predicted by how your partner thought you felt before. Emotion 17, 1066–1077 (2017).

    Article  Google Scholar 

  20. Sels, L., Ceulemans, E., & Kuppens, P. All’s well that ends well? A test of the peak-end rule in couples’ conflict discussions. Eur. J. Soc. Psychol. https://doi.org/10.1002/ejsp.2547 (2018).

  21. Thompson, R. J. et al. The everyday emotional experience of adults with major depressive disorder: examining emotional instability, inertia, and reactivity. J. Abnorm. Psychol. 121, 819–829 (2012).

    Article  Google Scholar 

  22. Trull, T. J. et al. Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment. J. Abnorm. Psychol. 117, 647–661 (2008).

    Article  Google Scholar 

  23. Van der Gucht, K. et al. An experience sampling study examining the potential impact of a mindfulness-based intervention on emotion differentiation. Emotion 19, 123–131 (2018).

    Article  Google Scholar 

  24. MATLAB. version 9.2.0 (R2017a) (The MathWorks Inc., 2017).

  25. Dejonckheere, E. et al. The relation between positive and negative affect becomes more negative in response to personally relevant events. Emotion https://doi.org/10.1037/emo0000697 (2019).

  26. Ebner-Priemer, U. W. & Sawitzki, G. Ambulatory assessment of affective instability in borderline personality disorder: the effect of the sampling frequency. Eur. J. Psychol. Assess. 23, 238–247 (2007).

    Article  Google Scholar 

  27. Vachon, H., Rintala, A., Viechtbauer, W. & Myin-Germeys, I. Data quality and feasibility of the experience sampling method across the spectrum of severe psychiatric disorders: a protocol for a systematic review and meta-analysis. Syst. Rev. 7, 7 (2018).

  28. Mauss, I. B. & Robinson, M. D. Measures of emotion: a review. Cogn. Emot. 23, 209–237 (2009).

    Article  Google Scholar 

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Authors and Affiliations

Authors

Contributions

E.D. and M.M. contributed equally to the manuscript, both drafting parts of this reply. P.K. and F.T. critically revised earlier versions of the manuscript. All authors approved the final version.

Corresponding author

Correspondence to Egon Dejonckheere.

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The authors declare no competing interests.

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Supplementary information

Supplementary Information

Supplementary Figs. 1 and 2, Supplementary Notes and Supplementary References.

Reporting Summary

Computational Data

MATLAB code to reproduce the main results presented in this reply.

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Dejonckheere, E., Mestdagh, M., Kuppens, P. et al. Reply to: Context matters for affective chronometry. Nat Hum Behav 4, 690–693 (2020). https://doi.org/10.1038/s41562-020-0861-6

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