Abstract
Motivational approaches to depression emphasize the role of dysfunctional motivational dynamics, particularly diminished reward and incentive processes associated with anhedonia. A study examined how anhedonic depressive symptoms, measured continuously across a wide range of severity, influenced the physiological mobilization of effort during a cognitive task. Using motivational intensity theory as a guide, we expected that the diminished incentive value associated with anhedonic depressive symptoms would reduce effort during a “do your best” challenge (also known as an unfixed or self-paced challenge), in which effort is a function of the value of achieving the task’s goal. Using impedance cardiography, two cardiac autonomic responses were assessed: pre-ejection period (PEP), a measure of sympathetic activity and our primary measure of interest, and respiratory sinus arrhythmia (RSA), a measure of parasympathetic activity. As expected, PEP slowed from baseline to task as anhedonic depressive symptoms increased (as measured with the Depression Anxiety Stress Scale), indicating diminished effort-related sympathetic activity. No significant effects appeared for RSA. The findings support motivational intensity theory as a translational model of effort processes in depression and clarify some inconsistent effects of depressive symptoms on effort-related physiology found in past work.
Similar content being viewed by others
Notes
We also included the Center for Epidemiological Studies—Depression Scale (CES-D; Radloff 1977) as a secondary measure of depressive symptoms. The CES-D covers a broader range of symptoms, not just anhedonic ones, and it is the scale used in all the studies reported by Brinkmann and her colleagues on dysphoria and effort. We thus included it to evaluate the unlikely possibility of scale-specific effects that might explain differences between the present study and their findings. The DASS and CES-D correlated highly (r = .81, p < .001), and the physiological effects were essentially identical: everything that was significant for the DASS was significant for the CES-D, and vice versa. Differences between the present findings and past research thus aren’t due to using different depression scales.
Several researchers have recently suggested using the time difference (in ms) between the R point (the peak of the ECG) and the Z point (the peak of the dZ/dt) as a measure of contractility (e.g., Cybulski 2011; Meijer et al. 2008; van Lien et al. 2013). This index has been called the RZ interval or the initial systolic time interval, and several studies suggest it is an effective measure of left ventricular contractility (e.g., van der Meer et al. 1999; Wilde et al. 1981). To inform this emerging literature, we estimated the same multilevel model using RZ intervals as the outcome. The same effects appeared: RZ intervals decreased from task to baseline overall, reflecting increased sympathetic activity (b = −1.41, SE = .43, p < .001); DASS scores had a main effect on RZ intervals, reflecting less baseline sympathetic impact as depressive symptoms increased (b = 7.62, SE = 2.42, p = .002); and DASS scores moderated the effect of time on RZ intervals, reflecting larger RZ intervals (and hence less sympathetic impact) as depressive symptoms increased (b = 2.45, SE = .55, p < .001). The similar pattern and higher significance levels lend some weight to the use of RZ intervals as a complementary measure of sympathetic influence.
Some research on effort and HRV (e.g., Segerstrom and Nes 2007) has used time-domain measures, such as the root mean square of successive differences (RMSSD) of the interbeat intervals, instead of frequency-domain measures (e.g., RSA). In our data, the results were largely the same for RMSSD, with one notable difference. At the within-person level, there was a marginal main effect of time, b = 3.42, SE = 1.82, p = .061. Unlike RSA, which had a null effect, RMSSD increased from baseline to task, reflecting stronger parasympathetic activity. At the between-person level, depressive symptoms did not predict either the RMSSD intercept (b = 2.03, SE = 6.88, p = .768) or change in RMSSD from baseline to task (b = −1.66, SE = 2.36, p = .483). The main effect of time—an increase in RMSSD from baseline to task—is consistent with Segerstrom’s proposal that HRV can reflect increased self-regulatory control under some circumstances (Segerstrom et al. 2012).
We can appreciate that multilevel models are unfamiliar for many motivation researchers, so we also analyzed the central PEP finding using more common reactivity scores. These analyses are more familiar and illustrate the parallels between multilevel models and traditional difference-score approaches. We created a PEP reactivity score by subtracting PEP scores during the baseline (the average of the 5 periods) from the PEP scores (averaged across the 5 periods) during the parity task. The reactivity scores didn’t correlate with the baseline scores (r = .12, p = .22), so they were not residualized with respect to the baseline (Llabre et al. 1991). For the full sample, DASS scores correlated with baseline scores (r = .23, p = .012), which is akin to the between-person main effect of DASS scores on PEP scores in the multilevel model—PEP slowed as DASS scores increased. DASS scores also correlated with PEP reactivity scores (r = .29, p = .002), which is akin to the significant interaction between DASS scores and time (baseline vs. task) in the multilevel model. People with lower DASS scores had more strongly negative change scores, and vice versa. We then selected the upper and lower 30 % based on DASS scores, akin to the use of extreme groups in past work (e.g., Brinkmann and Gendolla 2007, 2008), which yielded a sample of 72 people. The average reactivity score was M = −.58 (SE = .33), indicating that for the sample as whole, PEP was faster during the parity task. But PEP reactivity was faster in the low DASS group (M = -1.43, SE = .55, 95 % CI = −2.56, −.30) than in the high DASS group (M = .15, SE = .36, 95 % CI = −.59, .88). As the confidence intervals show, the low DASS group had PEP reactivity scores that both differed significantly from zero (reflecting significant change from the baseline) and from the high DASS group (reflecting a significant between-group difference). PEP reactivity in the high DASS group, in contrast, didn’t differ significantly from zero, reflecting a lack of effort mobilization.
References
Antony, M. M., Beiling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales (DASS) in clinical groups and a community sample. Psychological Assessment, 10, 176–181.
Aquino, J. M., & Arnell, K. M. (2007). Attention and the processing of emotional words: Dissociating effects of arousal. Psychonomic Bulletin and Review, 14, 430–435.
Berntson, G. G., Cacioppo, J. T., & Quigley, K. S. (1993). Respiratory sinus arrhythmia: Autonomic origins, physiological mechanisms, and psychophysiological implications. Psychophysiology, 30, 183–196.
Berntson, G. G., Lozano, D. L., Chen, Y., & Cacioppo, J. T. (2004). Where to Q in PEP. Psychophysiology, 41, 333–337.
Brehm, J. W., & Self, E. A. (1989). The intensity of motivation. Annual Review of Psychology, 40, 109–131. doi:10.1146/annurev.ps.40.020189.000545.
Brinkmann, K., & Franzen, J. (2013). Not everyone’s heart contracts to reward: Insensitivity to varying levels of reward in dysphoria. Biological Psychology, 94, 263–271.
Brinkmann, K., & Franzen, J. (in press). Depression and self-regulation: A motivational analysis and insights from effort-related cardiovascular activity. In G. H. E. Gendolla, M. Tops, & S. Koole (Eds.), Biobehavioral foundations of self-regulation. New York: Springer.
Brinkmann, K., & Gendolla, G. H. E. (2007). Dysphoria and mobilization of mental effort: Effects on cardiovascular reactivity. Motivation and Emotion, 31, 71–82.
Brinkmann, K., & Gendolla, G. H. E. (2008). Does depression interfere with effort mobilization? Effects of dysphoria and task difficulty on cardiovascular response. Journal of Personality and Social Psychology, 94, 146–157.
Brinkmann, K., Grept, J., & Gendolla, G. H. E. (2012). Dysphorics can control depressive mood’s informational impact on effort mobilization. Motivation and Emotion, 36, 232–241.
Brinkmann, K., Schüpbach, L., Joye, I. A., & Gendolla, G. H. E. (2009). Anhedonia and effort mobilization in dysphoria: Reduced cardiovascular response to reward and punishment. International Journal of Psychophysiology, 74, 250–258.
Brown, T. A., Chorpita, B. F., Korotitsch, W., & Barlow, D. H. (1997). Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples. Behaviour Research and Therapy, 35, 79–89.
Cacioppo, J. T., Berntson, G. G., Binkley, P. F., Quigley, K. S., Uchino, B. N., & Fieldstone, A. (1994). Autonomic cardiac control. II. Noninvasive indices and basal response as revealed by autonomic blockades. Psychophysiology, 31, 586–598.
Cybulski, G. (2011). Ambulatory impedance cardiography: The systems and their applications. Heidelberg: Springer.
de Geus, E. J. C., Willemsen, G. H. M., Klaver, C. H. A. M., & van Doornen, L. J. P. (1995). Ambulatory assessment of respiratory sinus arrhythmia and respiration rate. Biological Psychology, 41, 205–227.
Drew, R. C., & Sinoway, L. I. (2012). Autonomic control of the heart. In D. Robertson, I. Biaggioni, G. Burnstock, P. A. Low, & J. F. R. Paton (Eds.), Primer on the autonomic nervous system (3rd ed., pp. 177–180). London: Academic Press.
Ernst, J. M., Litvack, D. A., Lozano, D. L., Cacioppo, J. T., & Berntson, G. G. (1999). Impedance pneumography: Noise as signal in impedance cardiography. Psychophysiology, 36, 333–338.
Gendolla, G. H. E. (2000). On the impact of mood on behavior: An integrative theory and a review. Review of General Psychology, 4, 378–408.
Gendolla, G. H. E., Abele, A. E., & Krüsken, J. (2001). The informational impact of mood on effort mobilization: A study of cardiovascular and electrodermal responses. Emotion, 1, 12–24.
Gendolla, G. E., Brinkmann, K., & Silvestrini, N. (2012). Gloomy and lazy? On the impact of mood and depressive symptoms on effort-related cardiovascular response. In R. A. Wright & G. H. E. Gendolla (Eds.), How motivation affects cardiovascular response: Mechanisms and applications (pp. 139–155). Washington, DC: American Psychological Association.
Graziano, P., & Derefinko, K. (2013). Cardiac vagal control and children’s adaptive functioning: A meta-analysis. Biological Psychology, 94, 22–37.
Grossman, P., & Taylor, E. W. (2007). Toward understanding respiratory sinus arrhythmia: Relations to cardiac vagal tone, evolution, and biobehavioral functions. Biological Psychology, 74, 263–285.
Harris, C. R., & Pashler, H. (2004). Attention and the processing of emotional words and names: Not so special after all. Psychological Science, 15, 171–178.
Hockey, G. R. J. (1997). Compensatory control in the regulation of human performance under stress and high workload: A cognitive-energetical framework. Biological Psychology, 45, 73–93.
Houtveen, J. H., Groot, P. F., & de Geus, E. J. (2006). Validation of the thoracic impedance derived respiratory signal using multilevel analysis. International Journal of Psychophysiology, 59, 97–106.
Kelsey, R. M. (2012). Beta-adrenergic cardiovascular reactivity and adaptation to stress: The cardiac pre-ejection period as an index of effort. In R. A. Wright & G. H. E. Gendolla (Eds.), How motivation affects cardiovascular response: Mechanisms and applications (pp. 43–60). Washington, DC: American Psychological Association.
Kelsey, R. M., Reiff, S., Wiens, S., Schneider, T. R., Mezzacappa, E. S., & Guethlein, W. (1998). The ensemble-averaged impedance cardiogram: An evaluation of scoring methods and interrater reliability. Psychophysiology, 35, 337–340.
Kemp, A. H., Quintana, D. S., Gray, M. A., Felmingham, K. L., Brown, K., & Gatt, J. M. (2010). Impact of depression and antidepressant treatment on heart rate variability: A review and meta-analysis. Biological Psychiatry, 67, 1067–1074.
Kristjansson, S. D., Kircher, J. C., & Webb, A. K. (2007). Multilevel models for repeated measures designs in psychophysiology: An introduction to growth curve modeling. Psychophysiology, 44, 728–736.
Light, K. C., Kothandapani, R. V., & Allen, M. T. (1998). Enhanced cardiovascular and catecholamine responses in women with depressive symptoms. International Journal of Psychophysiology, 28, 157–166.
Llabre, M. M., Spitzer, S. B., Saab, P. G., Ironson, G. H., & Schneiderman, N. (1991). The reliability and specificity of delta versus residualized change as measure of cardiovascular reactivity to behavioral challenges. Psychophysiology, 28, 701–711.
Llabre, M. M., Spitzer, S., Siegel, S., Saab, P. G., & Schneiderman, N. (2004). Applying latent growth curve modeling to the investigation of individual differences in cardiovascular recovery from stress. Psychosomatic Medicine, 66, 29–41.
Lovibond, P. F. (1998). Long-term stability of depression, anxiety, and stress syndromes. Journal of Abnormal Psychology, 107, 520–526.
Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33, 335–343.
Lozano, D. L., Norman, G., Knox, D., Wood, B. L., Miller, B. D., Emery, C. F., et al. (2007). Where to B in dZ/dt. Psychophysiology, 44, 113–119.
Meijer, J. H., Boesveldt, S., Elbertse, E., & Berendse, H. W. (2008). Method to measure autonomic control of cardiac function using time interval parameters from impedance cardiography. Physiological Measurement, 29, 383–391. doi:10.1088/0967-3334/29/6/S32.
Mohrman, D. E., & Heller, L. J. (2010). Cardiovascular physiology (7th ed.). New York: McGraw Hill Medical.
Obrist, P. A., Light, K. C., James, S. A., & Strogatz, D. S. (1987). Cardiovascular responses to stress: I. Measures of myocardial response and relationship to high resting systolic pressure and parental hypertension. Psychophysiology, 24, 65–78.
Phillips, A. C. (2011). Blunted cardiovascular reactivity relates to depression, obesity, and self-reported health. Biological Psychology, 86, 106–113.
Phillips, A. C., & Hughes, B. M. (2011). Cardiovascular reactivity at a crossroads: Where are we now? Biological Psychology, 86, 95–97.
Pizzagalli, D. A., Iosifescu, D., Hallett, L. A., Ratner, K. G., & Fava, M. (2008). Reduced hedonic capacity in major depressive disorder: Evidence from a probabilistic reward task. Journal of Psychiatric Research, 43, 76–87.
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.
Richter, M. (2010). Pay attention to your manipulation checks! Reward impact on cardiac reactivity is moderated by task context. Biological Psychology, 84, 279–289.
Richter, M. (2013). A closer look into the multi-layer structure of motivational intensity theory. Social and Personality Psychology Compass, 7, 1–12.
Richter, M., Friedrich, A., & Gendolla, G. H. E. (2008). Task difficulty effects on cardiac activity. Psychophysiology, 45, 869–875.
Richter, M., & Gendolla, G. H. E. (2006). Incentive effects on cardiovascular reactivity in active coping with unclear task difficulty. International Journal of Psychophysiology, 61, 216–225.
Richter, M., & Gendolla, G. H. E. (2007). Incentive value, unclear task difficulty, and cardiovascular reactivity in active coping. International Journal of Psychophysiology, 63, 294–301.
Richter, M., & Gendolla, G. H. E. (2009a). The heart contracts to reward: Monetary incentives and pre-ejection period. Psychophysiology, 46, 451–457.
Richter, M., & Gendolla, G. H. E. (2009b). Mood impact on cardiovascular reactivity when task difficulty is unclear. Motivation and Emotion, 33, 239–248.
Rottenberg, J. (2007). Cardiac vagal control in depression: A critical analysis. Biological Psychology, 74, 200–211.
Rottenberg, J., Clift, A., Bolden, S., & Salomon, K. (2007). RSA fluctuation in major depressive disorder. Psychophysiology, 44, 450–458.
Rottenberg, J., Salomon, K., Gross, J. J., & Gotlib, I. H. (2005). Vagal withdrawal to a sad film predicts subsequent recovery from depression. Psychophysiology, 42, 277–281.
Salomon, K., Clift, A., Karlsdóttir, M., & Rottenberg, J. (2009). Major depressive disorder is associated with attenuated cardiovascular reactivity and impaired recovery among those free of cardiovascular disease. Health Psychology, 28, 157–165.
Schächinger, H., Weinbacher, M., Kiss, A., Ritz, R., & Langewitz, W. (2001). Cardiovascular indices of peripheral and central sympathetic activation. Psychosomatic Medicine, 63, 788–796.
Schwerdtfeger, A., & Rosenkaimer, A. K. (2011). Depressive symptoms and attenuated physiological reactivity to laboratory stressors. Biological Psychology, 87, 430–438.
Segerstrom, S. C., Hardy, J. K., Evans, D. R., & Winters, N. F. (2012). Pause and plan: Self-regulation and the heart. In R. A. Wright & G. H. E. Gendolla (Eds.), How motivation affects cardiovascular response: Mechanisms and applications (pp. 181–198). Washington, DC: American Psychological Association.
Segerstrom, S. C., & Nes, L. S. (2007). Heart rate variability reflects self-regulatory strength, effort, and fatigue. Psychological Science, 18, 275–281.
Sherwood, A., Allen, M. T., Fahrenberg, J., Kelsey, R. M., Lovallo, W. R., & van Doornen, L. J. (1990). Methodological guidelines for impedance cardiography. Psychophysiology, 27, 1–23.
Silvia, P. J. (2012). Mirrors, masks, and motivation: Implicit and explicit self-focused attention influence effort-related cardiovascular reactivity. Biological Psychology, 90, 192–201.
Silvia, P. J., Eddington, K. M., Beaty, R. E., Nusbaum, E. C., & Kwapil, T. R. (2013a). Gritty people try harder: Grit and effort-related cardiac autonomic activity during an active coping challenge. International Journal of Psychophysiology, 88, 200–205.
Silvia, P. J., Jones, H. C., Kelly, C. S., & Zibaie, A. (2011a). Masked first name priming increases effort-related cardiovascular reactivity. International Journal of Psychophysiology, 80, 210–216.
Silvia, P. J., Jones, H. C., Kelly, C. S., & Zibaie, A. (2011b). Trait self-focused attention, task difficulty, and effort-related cardiovascular reactivity. International Journal of Psychophysiology, 79, 335–340.
Silvia, P. J., Kelly, C. S., Zibaie, A., Nardello, J. L., & Moore, L. C. (2013b). Trait self-focused attention increases sensitivity to nonconscious primes: Evidence from effort-related cardiovascular reactivity. International Journal of Psychophysiology, 88, 143–148.
Silvia, P. J., McCord, D. M., & Gendolla, G. H. E. (2010). Self-focused attention, performance expectancies, and the intensity of effort: Do people try harder for harder goals? Motivation and Emotion, 34, 363–370.
Silvia, P. J., Moore, L. C., & Nardello, J. L. (2014). Trying and quitting: How self-focused attention influences effort during difficult and impossible tasks. Self and Identity, 13, 231–242.
Silvia, P. J., & Phillips, A. G. (2013). Self-awareness without awareness? Implicit self-focused attention and behavioral self-regulation. Self and Identity, 12, 114–127.
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York: Oxford University Press.
Treadway, M. T., & Zald, D. H. (2011). Reconsidering anhedonia in depression: Lessons from translational neuroscience. Neuroscience and Behavioral Reviews, 35, 537–555.
van der Meer, B. J. M., Noordegraaf, A. V., Bax, J. J., Kamp, O., & de Vries, P. M. J. M. (1999). Non-invasive evaluation of left ventricular function by means of impedance cardiography. Acta Anaesthesiologica Scandinavica, 43, 130–134.
van Lien, R., Schutte, N. M., Meijer, J. H., & de Geus, E. J. C. (2013). Estimated prejection period (PEP) based on the detection of the R-wave and dZ/dt-min peaks does not adequately reflect the actual PEP across a wide range of laboratory and ambulatory conditions. International Journal of Psychophysiology, 87, 60–69.
Wilde, S. W., Miles, D. S., Durbin, R. J., Sawka, M. N., Suryaprasad, A. G., Gotshall, R. W., et al. (1981). Evaluation of myocardial performance during wheelchair ergometer exercise. American Journal of Physical Medicine, 60, 277–291.
Wolford, G., & Morrison, F. (1980). Processing of unattended visual information. Memory and Cognition, 8, 521–527.
Wright, R. A. (1996). Brehm’s theory of motivation as a model of effort and cardiovascular response. In P. M. Gollwitzer & J. A. Bargh (Eds.), The psychology of action: Linking cognition and motivation to behavior (pp. 424–453). New York: Guilford.
Wright, R. A. (1998). Ability perception and cardiovascular response to behavioral challenge. In M. Kofta, G. Weary, & G. Sedek (Eds.), Personal control in action: Cognitive and motivational mechanisms (pp. 197–232). New York: Plenum.
Wright, R. A. (2008). Refining the prediction of effort: Brehm’s distinction between potential motivation and motivation intensity. Social and Personality Psychology Compass, 2, 682–701.
Wright, R. A., & Dill, J. C. (1993). Blood pressure responses and incentive appraisals as a function of perceived ability and objective task demand. Psychophysiology, 30, 152–160.
Wright, R. A., & Gendolla, G. H. E. (2012). How motivation affects cardiovascular response: Mechanisms and applications. Washington, DC: American Psychological Association.
Wright, R. A., Killebrew, K., & Pimpalapure, D. (2002). Cardiovascular incentive effects where a challenge is unfixed: Demonstrations involving social evaluation, evaluator status, and monetary reward. Psychophysiology, 39, 188–197.
Wright, R. A., & Stewart, C. C. (2012). Multifaceted effects of fatigue on effort and associated cardiovascular responses. In R. A. Wright & G. H. E. Gendolla (Eds.), How motivation affects cardiovascular response: Mechanisms and applications (pp. 199–218). Washington, DC: American Psychological Association.
Yaroslavsky, I., Rottenberg, J., & Kovacs, M. (2013). The utility of combining RSA indices in depression prediction. Journal of Abnormal Psychology, 122, 314–321.
Acknowledgments
We thank Christina Chai Chang, Emily Galloway, Bryonna Jackson, Kimberly Jung, Edna Kabisa, Lance Moore, Joseph Nardello, Rachel Sopko, and Ceaira Walker for their assistance. This research was supported by award number R15MH079374 from the National Institute of Mental Health.
Author information
Authors and Affiliations
Corresponding author
Additional information
The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institute of Mental Health or the National Institutes of Health.
Rights and permissions
About this article
Cite this article
Silvia, P.J., Nusbaum, E.C., Eddington, K.M. et al. Effort deficits and depression: The influence of anhedonic depressive symptoms on cardiac autonomic activity during a mental challenge. Motiv Emot 38, 779–789 (2014). https://doi.org/10.1007/s11031-014-9443-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11031-014-9443-0