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The stability of the feedback negativity and its relationship with depression during childhood and adolescence

Published online by Cambridge University Press:  09 January 2015

Jennifer N. Bress ,
Alexandria Meyer  and
Greg Hajcak Proudfit
Jennifer N. Bress*
Affiliation:
Stony Brook University
Alexandria Meyer
Affiliation:
Stony Brook University
Greg Hajcak Proudfit
Affiliation:
Stony Brook University
*
Address correspondence and reprint requests to: Jennifer N. Bress, Department of Psychology, Stony Brook University, Stony Brook, NY 11794-2500; E-mail: [email protected].
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Abstract

Feedback negativity (FN) is an event-related potential elicited by monetary reward and loss; it is thought to relate to reward-related neural activity and has been linked to depression in children and adults. In the current study, we examined the stability of FN, and its relationship with depression in adolescents, over 2 years in 45 8- to 13-year-old children. From Time 1 to Time 2, FN in response to monetary loss and in response to monetary gain showed moderate to strong reliability (rs = .64 and .67, respectively); these relationships remained significant even when accounting for related variables. FN also demonstrated high within-session reliability. Moreover, the relationship between a blunted FN and greater depression observed at Time 1 was reproduced at Time 2, and the magnitude of FN at Time 1 predicted depressive symptomatology at Time 2. These findings are consistent with the hypothesis that FN and its relationship with depression remain consistent over the course of development, and that FN may prospectively predict later depressive symptomatology. The current results suggest that FN may be suitable as a biomarker of depressive symptoms during adolescence.

Type
Regular Articles
Information
Development and Psychopathology , Volume 27 , Issue 4pt1 , November 2015 , pp. 1285 - 1294
Copyright
Copyright © Cambridge University Press 2015 

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References

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.Google Scholar
Angold, A., Costello, E. J., & Worthman, C. M. (1998). Puberty and depression: The roles of age, pubertal status and pubertal timing. Psychological Medicine, 28, 51–61.Google Scholar
Baker, T. E., & Holroyd, C. B. (2011). Dissociated roles of the anterior cingulate cortex in reward and conflict processing as revealed by the feedback error-related negativity and n200. Biological Psychology, 87, 25–34.Google Scholar
Beaver, J. D., Lawrence, A. D., Van Ditzhuijzen, J., Davis, M. H., Woods, A., & Calder, A. J. (2006). Individual differences in reward drive predict neural responses to images of food. Journal of Neuroscience, 26, 5160–5166.Google Scholar
Becker, M. P., Nitsch, A. M., Miltner, W. H., & Straube, T. (2014). A single-trial estimation of the feedback-related negativity and its relation to BOLD responses in a time-estimation task. Journal of Neuroscience, 34, 3005–3012.CrossRefGoogle Scholar
Bernat, E. M., Nelson, L. D., Steele, V. R., Gehring, W. J., & Patrick, C. J. (2011). Externalizing psychopathology and gain–loss feedback in a simulated gambling task: Dissociable components of brain response revealed by time-frequency analysis. Journal of Abnormal Psychology, 120, 352–364.Google Scholar
Bress, J. N., Foti, D., Kotov, R., Klein, D. N., & Hajcak, G. (2013). Blunted neural response to rewards prospectively predicts depression in adolescent girls. Psychophysiology, 50, 74–81.Google Scholar
Bress, J. N., & Hajcak, G. (2013). Self-report and behavioral measures of reward sensitivity predict the feedback negativity. Psychophysiology. Advance online publication.Google Scholar
Bress, J. N., Meyer, A., & Hajcak, G. (2013). Differentiating anxiety and depression in children and adolescents: Evidence from event-related brain potentials. Journal of Clinical Child and Adolescent Psychology. Advance online publication.Google Scholar
Bress, J. N., Smith, E., Foti, D., Klein, D. N., & Hajcak, G. (2012). Neural response to reward and depressive symptoms in late childhood to early adolescence. Biological Psychology, 89, 156–162.Google Scholar
Carlson, J. M., Foti, D., Mujica-Parodi, L. R., Harmon-Jones, E., & Hajcak, G. (2011). Ventral striatal and medial prefrontal bold activation is correlated with reward-related electrocortical activity: A combined ERP and fMRI study. NeuroImage, 57, 1608–1616.Google Scholar
Chiou, J., & Spreng, R. A. (1996). The reliability of difference scores: A re-examination. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 9, 158–167.Google Scholar
Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100, 316–336.Google Scholar
Cohen, P., Cohen, J., Kasen, S., Velez, C. N., Hartmark, C., & Johnson, J. (1993). An epidemiological study of disorders in late childhood and adolescence: I. Age- and gender-specific prevalence. Journal of Child Psychology and Psychiatry, 34, 851–867.Google Scholar
Costello, E. J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60, 837–844.Google Scholar
Crowley, M. J., Wu, J., Hommer, R. E., South, M., Molfese, P. J., Fearon, R. M. P., et al. (2013). A developmental study of the feedback-related negativity from 10–17 years: Age and sex effects for reward versus non-reward. Developmental Neuropsychology, 38, 595–612.Google Scholar
Cyranowski, J. M., Frank, E., Young, E., & Shear, M. K. (2000). Adolescent onset of the gender difference in lifetime rates of major depression: A theoretical model. Archives of General Psychiatry, 57, 21–27.CrossRefGoogle ScholarPubMed
Dunning, J. P., & Hajcak, G. (2007). Error-related negativities elicited by monetary loss and cues that predict loss. NeuroReport, 18, 1875–1878.Google Scholar
Edwards, J. R. (1994). Regression-analysis as an alternative to difference scores. Journal of Management, 20, 683–689.Google Scholar
Foti, D., Carlson, J. M., Sauder, C. L., & Proudfit, G. H. (2014). Reward dysfunction in major depression: Multimodal neuroimaging evidence for refining the melancholic phenotype. NeuroImage, 101, 50–58.CrossRefGoogle ScholarPubMed
Foti, D., & Hajcak, G. (2009). Depression and reduced sensitivity to non-rewards versus rewards: Evidence from event-related potentials. Biological Psychology, 81, 1–8.CrossRefGoogle ScholarPubMed
Foti, D., & Hajcak, G. (2010). State sadness reduces neural sensitivity to nonrewards versus rewards. NeuroReport, 21, 143–147.Google Scholar
Foti, D., Weinberg, A., Dien, J., & Hajcak, G. (2011). Event-related potential activity in the basal ganglia differentiates rewards from nonrewards: Temporospatial principal components analysis and source localization of the feedback negativity. Human Brain Mapping, 32, 2207–2216.Google Scholar
Gehring, W. J., & Willoughby, A. R. (2002). The medial frontal cortex and the rapid processing of monetary gains and losses. Science, 295, 2279–2282.Google Scholar
Glenn, C. R., Klein, D. N., Lissek, S., Britton, J. C., Pine, D. S., & Hajcak, G. (2012). The development of fear learning and generalization in 8- to 13-year-olds. Developmental Psychobiology, 54, 675–684.Google Scholar
Gratton, G., Coles, M. G., & Donchin, E. (1983). A new method for off-line removal of ocular artifact. Electroencephalographical and Clinical Neurophysiology, 55, 468–484.Google Scholar
Hahn, T., Dresler, T., Ehlis, A. C., Plichta, M. M., Heinzel, S., & Polak, T. (2009). Neural response to reward anticipation is modulated by gray's impulsivity. NeuroImage, 46, 1148–1153.Google Scholar
Hammerer, D., Li, S. C., Muller, V., & Lindenberger, U. (2011). Life span differences in electrophysiological correlates of monitoring gains and losses during probabilistic reinforcement learning. Journal of Cognitive Neuroscience, 23, 579–592.CrossRefGoogle ScholarPubMed
Hammerer, D., Li, S. C., Volkle, M., Muller, V., & Lindenberger, U. (2013). A lifespan comparison of the reliability, test–retest stability, and signal-to-noise ratio of event-related potentials assessed during performance monitoring. Psychophysiology, 50, 111–123.Google Scholar
Holroyd, C. B., & Coles, M. G. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychology Review, 109, 679–709.Google Scholar
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., & Quinn, K. (2010). Research domain criteria (rdoc): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167, 748–751.Google Scholar
Keenan, K., Feng, X., Hipwell, A., & Klostermann, S. (2009). Depression begets depression: Comparing the predictive utility of depression and anxiety symptoms to later depression. Journal of Child Psychology and Psychiatry, 50, 1167–1175.Google Scholar
Klein, D. N., Shankman, S. A., Lewinsohn, P. M., & Seeley, J. R. (2009). Subthreshold depressive disorder in adolescents: Predictors of escalation to full-syndrome depressive disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 48, 703–710.Google Scholar
Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000). FMRI visualization of brain activity during a monetary incentive delay task. NeuroImage, 12, 20–27.Google Scholar
Kovacs, M. (1992). Manual for the Children's Depression Inventory. North Tonawanda, NY: Multi-Health Systems.Google Scholar
Kovacs, M., & MHS Staff. (2003). Children's Depression Inventory technical manual update. North Tonawanda, NY: Multi-Health Systems.Google Scholar
Kujawa, A., Proudfit, G. H., & Klein, D. N. (2014). Neural reactivity to rewards and losses in offspring of mothers and fathers with histories of depressive and anxiety disorders. Journal of Abnormal Psychology, 123, 287–297.CrossRefGoogle ScholarPubMed
Liu, W. H., Wang, L. Z., Shang, H. R., Shen, Y., Li, Z., Cheung, E. F., et al. (2014). The influence of anhedonia on feedback negativity in major depressive disorder. Neuropsychologia, 53, 213–220.Google Scholar
Luck, S. J., Mathalon, D. H., O'Donnell, B. F., Hamalainen, M. S., Spencer, K. M., & Javitt, D. C. (2011). A roadmap for the development and validation of event-related potential biomarkers in schizophrenia research. Biological Psychiatry, 70, 28–34.Google Scholar
Lukie, C. N., Montazer-Hojat, S., & Holroyd, C. B. (2014). Developmental changes in the reward positivity: An electrophysiological trajectory of reward processing. Developmental Cognitive Neuroscience, 9, 191–199.Google Scholar
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004). Separate neural systems value immediate and delayed monetary rewards. Science, 306, 503–507.Google Scholar
Meyer, A., Bress, J. N., & Proudfit, G. H. (2014). Psychometric properties of the error-related negativity in children and adolescents. Psychophysiology. Advance online publication.Google Scholar
Meyer, A., Weinberg, A., Klein, D. N., & Hajcak, G. (2012). The development of the error-related negativity (ERN) and its relationship with anxiety: Evidence from 8- to 13 year-olds. Developmental Cognitive Neuroscience, 2, 152–161.Google Scholar
Nestler, E. J., & Carlezon, W. A. (2006). The mesolimbic dopamine reward circuit in depression. Biological Psychiatry, 59, 1151–1159.Google Scholar
Neylan, T. C., Jasiukaitis, P. A., Lenoci, M., Scott, J. C., Metzler, T. J., & Weiss, D. S. (2003). Temporal instability of auditory and visual event-related potentials in posttraumatic stress disorder. Biological Psychiatry, 53, 216–225.Google Scholar
O'Doherty, J. P., Deichmann, R., Critchley, H. D., & Dolan, R. J. (2002). Neural responses during anticipation of a primary taste reward. Neuron, 33, 815–826.Google Scholar
Pessiglione, M., Seymour, B., Flandin, G., Dolan, R. J., & Frith, C. D. (2006). Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature, 442, 1042–1045.Google Scholar
Robinson, T. E., & Berridge, K. C. (1993). The neural basis of drug craving: An incentive-sensitization theory of addiction. Brain Research Reviews, 18, 247–291.CrossRefGoogle ScholarPubMed
Schmidt, H. D., Shelton, R. C., & Duman, R. S. (2011). Functional biomarkers of depression: Diagnosis, treatment, and pathophysiology. Neuropsychopharmacology, 36, 2375–2394.Google Scholar
Segalowitz, S. J., & Barnes, K. L. (1993). The reliability of ERP components in the auditory oddball paradigm. Psychophysiology, 30, 451–459.Google Scholar
Segalowitz, S. J., Santesso, D. L., Murphy, T. I., Homan, D., Chantziantoniou, D. K., & Khan, S. (2010). Retest reliability of medial frontal negativities during performance monitoring. Psychophysiology, 47, 260–270.Google Scholar
Sinha, R., Bernardy, N., & Parsons, O. A. (1992). Long-term test–retest reliability of event-related potentials in normals and alcoholics. Biological Psychiatry, 32, 992–1003.Google Scholar
Sitarenios, G., & Kovacs, M. (1999). Use of the Children's Depression Inventory. In Maruish, M. E. (Ed.), The use of psychological testing for treatment planning and outcomes assessment (2nd ed., pp. 267–298). Mahwah, NJ: Erlbaum.Google Scholar
Steinberg, L. (2007). Risk taking in adolescence: New perspectives from brain and behavioral science. Current Directions in Psychological Science, 16, 55–59.Google Scholar
Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211, 453–458.Google Scholar
Tversky, A., & Kahneman, D. (1992). Advances in prospect-theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323.Google Scholar
Walhovd, K. B., & Fjell, A. M. (2002). One-year test–retest reliability of auditory ERPs in young and old adults. International Journal of Psychophysiology, 46, 29–40.Google Scholar
Weinberg, A., & Hajcak, G. (2011). Longer term test–retest reliability of error-related brain activity. Psychophysiology, 48, 1420–1425.Google Scholar
Weinberg, A., Venables, N. C., Proudfit, G. H., & Patrick, C. J. (2014). Heritability of the neural response to emotional pictures: Evidence from ERPs in an adult twin sample. Social Cognitive and Affective Neuroscience. Advance online publication.Google Scholar
Wierzbicki, M. (1987). A parent form of the Children's Depression Inventory: Reliability and validity in nonclinical populations. Journal of Clinical Psychology, 43, 390–397.Google Scholar