Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-16T20:20:56.461Z Has data issue: false hasContentIssue false

Timing: A missing key ingredient in typical fMRI studies of emotion

Published online by Cambridge University Press:  23 May 2012

Christian E. Waugh
Affiliation:
Department of Psychology, Wake Forest University, Winston-Salem, NC 27109-7778. [email protected]@wfu.eduemolab.psych.wfu.edu
James A. Schirillo
Affiliation:
Department of Psychology, Wake Forest University, Winston-Salem, NC 27109-7778. [email protected]@wfu.eduemolab.psych.wfu.edu

Abstract

Lindquist et al. provide a compelling summary of the brain bases of the onset of emotion. Their conclusions, however, are constrained by typical fMRI techniques that do not assess a key ingredient in emotional experience – timing. We discuss the importance of timing in theories of emotion as well as the implications of neural temporal dynamics for psychological constructionism.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bandettini, P. A., Jesmanowicz, A., Wong, E. C. & Hyde, J. S. (1993) Processing strategies for time-course data sets in functional MRI of the human brain. Magnetic Resonance in Medicine 30(2):161–73.CrossRefGoogle ScholarPubMed
Davidson, R. J. (1998) Affective style and affective disorders: Perspectives from affective neuroscience. Cognition and Emotion 12:307–30.Google Scholar
Friston, K. J., Jezzard, P. & Turner, R. (1994) Analysis of functional MRI time-series. Human Brain Mapping 1(2):153–71.CrossRefGoogle Scholar
Gross, J. J. (2001) Emotion regulation in adulthood: Timing is everything. Current Directions in Psychological Science 10(6):214–19.CrossRefGoogle Scholar
Larsen, R. J., Augustine, A. A. & Prizmic, Z. (2009) A process approach to emotion and personality: Using time as a facet of data. Cognition & Emotion 23(7):1407–26.Google Scholar
Lindquist, M. A. & Wager, T. D. (2007) Validity and power in hemodynamic response modeling: A comparison study and a new approach. Human Brain Mapping 28(8):764–84.CrossRefGoogle ScholarPubMed
McCullough, M. E., Orsulak, P., Brandon, A. & Akers, L. (2007) Rumination, fear, and cortisol: An in vivo study of interpersonal transgressions. Health Psychology 26(1):126–32.CrossRefGoogle Scholar
Schupp, H. T., Cuthbert, B. N., Bradley, M. M., Cacioppo, J. T., Ito, T. & Lang, P. J. (2000) Affective picture processing: The late positive potential is modulated by motivational relevance. Psychophysiology 37:257–61.Google Scholar
Verduyn, P., Delvaux, E., Van Coillie, H., Tuerlinckx, F. & Van Mechelen, I. (2009) Predicting the duration of emotional experience: Two experience sampling studies. Emotion 9(1):8391.Google Scholar
Wager, T. D., Waugh, C. E., Lindquist, M., Noll, D. C., Fredrickson, B. L. & Taylor, S. F. (2009b) Brain mediators of cardiovascular responses to social threat, Part I: Reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivity. Neuroimage 47:821–35.Google Scholar
Waugh, C. E., Hamilton, J. P. & Gotlib, I. H. (2010) The neural temporal dynamics of the intensity of emotional experience. Neuroimage 49:1699–707.Google Scholar