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  1. The brain basis of emotion: A meta-analytic review.Kristen A. Lindquist, Tor D. Wager, Hedy Kober, Eliza Bliss-Moreau & Lisa Feldman Barrett - 2012 - Behavioral and Brain Sciences 35 (3):121-143.
    Researchers have wondered how the brain creates emotions since the early days of psychological science. With a surge of studies in affective neuroscience in recent decades, scientists are poised to answer this question. In this target article, we present a meta-analytic summary of the neuroimaging literature on human emotion. We compare the locationist approach (i.e., the hypothesis that discrete emotion categories consistently and specifically correspond to distinct brain regions) with the psychological constructionist approach (i.e., the hypothesis that discrete emotion categories (...)
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  2. Ventromedial prefrontal-subcortical systems and the generation of affective meaning.Mathieu Roy, Daphna Shohamy & Tor D. Wager - 2012 - Trends in Cognitive Sciences 16 (3):147-156.
  3.  97
    What are emotions and how are they created in the brain?Kristen A. Lindquist, Tor D. Wager, Eliza Bliss-Moreau, Hedy Kober & Lisa Feldman Barrett - 2012 - Behavioral and Brain Sciences 35 (3):172-202.
    In our response, we clarify important theoretical differences between basic emotion and psychological construction approaches. We evaluate the empirical status of the basic emotion approach, addressing whether it requires brain localization, whether localization can be observed with better analytic tools, and whether evidence for basic emotions exists in other types of measures. We then revisit the issue of whether the key hypotheses of psychological construction are supported by our meta-analytic findings. We close by elaborating on commentator suggestions for future research.
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  4.  41
    Involvement of Sensory Regions in Affective Experience: A Meta-Analysis.Ajay B. Satpute, Jian Kang, Kevin C. Bickart, Helena Yardley, Tor D. Wager & Lisa F. Barrett - 2015 - Frontiers in Psychology 6.
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  5.  35
    Somatic influences on subjective well-being and affective disorders: the convergence of thermosensory and central serotonergic systems.Charles L. Raison, Matthew W. Hale, Lawrence Williams, Tor D. Wager & Christopher A. Lowry - 2014 - Frontiers in Psychology 5:104721.
    Current theories suggest that the brain is the sole source of mental illness. However, affective disorders, and major depressive disorder (MDD) in particular, may be better conceptualized as brain-body disorders that involve peripheral systems as well. This perspective emphasizes the embodied, multifaceted physiology of well-being, and suggests that afferent signals from the body may contribute to cognitive and emotional states. In this review, we focus on evidence from preclinical and clinical studies suggesting that afferent thermosensory signals contribute to well-being and (...)
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  6.  62
    The role of the amygdala in the appraising brain.David Sander, Kristen A. Lindquist, Tor D. Wager, Hedy Kober, Eliza Bliss-Moreau & Lisa Feldman Barrett - 2012 - Behavioral and Brain Sciences 35 (3):161-161.
    Lindquist et al. convincingly argue that the brain implements psychological operations that are constitutive of emotion rather than modules subserving discrete emotions. However, thenatureof such psychological operations is open to debate. I argue that considering appraisal theories may provide alternative interpretations of the neuroimaging data with respect to the psychological operations involved.
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  7. The Neural Correlates of Cued Reward Omission.Jessica A. Mollick, Luke J. Chang, Anjali Krishnan, Thomas E. Hazy, Kai A. Krueger, Guido K. W. Frank, Tor D. Wager & Randall C. O’Reilly - 2021 - Frontiers in Human Neuroscience 15.
    Compared to our understanding of positive prediction error signals occurring due to unexpected reward outcomes, less is known about the neural circuitry in humans that drives negative prediction errors during omission of expected rewards. While classical learning theories such as Rescorla–Wagner or temporal difference learning suggest that both types of prediction errors result from a simple subtraction, there has been recent evidence suggesting that different brain regions provide input to dopamine neurons which contributes to specific components of this prediction error (...)
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  8.  67
    Understanding emotion: Lessons from anxiety.Katherine S. Button, Glyn Lewis, Marcus R. Munafò, Kristen A. Lindquist, Tor D. Wager, Hedy Kober, Eliza Bliss-Moreau & Lisa Feldman Barrett - 2012 - Behavioral and Brain Sciences 35 (3):145.
    We agree that conceptualisation is key in understanding the brain basis of emotion. We argue that by conflating facial emotion recognition with subjective emotion experience, Lindquist et al. understate the importance of biological predisposition in emotion. We use examples from the anxiety disorders to illustrate the distinction between these two phenomena, emphasising the importance of both emotional hardware and contextual learning.
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    The challenges of forecasting resilience.Luke J. Chang, Marianne Reddan, Yoni K. Ashar, Hedwig Eisenbarth & Tor D. Wager - 2015 - Behavioral and Brain Sciences 38.
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