The neuroimaging of emotion.

By Tor D. Wager, Lisa Feldman Barrett, Eliza Bliss-Moreau, Kristen A. Lindquist, Seth Duncan, Hedy Kober, Joshua W. Joseph, Matthew L. Davidson, Jennifer Mize. 2008

241 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dadacd83b08ba7fb71540639b2dc49c7c15fac80

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Citations in the corpus

Measures of emotion: A review (2009, unknown): “Thus, there is increasing evidence that emotional states related to approach and avoidance involve localisable brain circuits (Barrett & Wager, 2006; Wager et al., 2008).”
The brain basis of emotion: A meta-analytic review (2012, methodology): “Our meta-analytic findings were relatively more consistent with the psychological operations that we have considered ingredients of emotion here and in other papers (e.g., Barrett 2006b; 2009; Barrett et al. 2007a; Kober et al. 2008; Lindquist & Barrett 2008a; Wager et al. 2008).”
Social Psychological Face Perception: Why Appearance Matters. (2008, unknown): “Indeed, a meta analysis of brain areas consistently associated with particular emotional states identified six emotion networks that depend on the emotion and the category of eliciting stimuli (Wager et al., 2007).”
Prefrontal-subcortical pathways mediating successful emotion regulation. (2008, unknown): “On one hand, we predicted that the PFC could influence activity in regions associated with negative affect, such as the amygdala and insula (Etkin and Wager, 2007; Wager et al., 2008).”
Anisotropic Kernels for Coordinate-Based Meta-Analyses of Neuroimaging Studies (2014, methodology): “Activation likelihood estimation (ALE) (1– 4), (effect-size) signed differential mapping (ES-SDM) (5–7) and (multilevel) kernel density analysis (M-KDA) (8,9) are commonly used methods that have already been applied to meta-analyze a wide range of normal brain functions (10–12) and abnormalities in ”
A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps (2012, methodology): “Ingenious peak-probability methods such as activation likelihood estimation (ALE), the first coordinate-based method to be developed [8,23], or multilevel kernel density analysis (MKDA), which first introduced the weighting by sample size [26,27], are (exclusively) based on the regional likelihood o”
Functional Causal Mediation Analysis With an Application to Brain Connectivity (2012, background): “A recent example involves the use of brain imaging to study the relationship between a painful thermal stimulus and self-reported pain (Wager et al. 2008).”
Activation Likelihood Estimation meta-analysis revisited (2011, methodology): “…experiment, generation of summary images per experiment and quantification of the convergence across these may empirically provide a good estimation on the distribution of statistical features of interest such as cluster size above a given threshold or maximum peak height (Wager et al., 2007b).”
Self-report captures 27 distinct categories of emotion bridged by continuous gradients (2017, unknown): “As with affective dimensions, such emotion families, discretely partitioned into categories, have been the focus of hundreds of empirical studies (16, 25, 27–29, 32, 35, 40–49).”
Emotion Knowledge, Emotion Utilization, and Emotion Regulation (2011, background): “Emotion–Cognition Interactions A considerable body of research suggests virtually continuous emotion–cognition interactions (Kober et al., 2008; Wager et al., 2008).”
Functional grouping and cortical-subcortical interactions in emotion: A meta-analysis of neuroimaging studies (2008, unknown): “We previously reported that the most fear-related region in the amygdala (the superior amygdala) is just as responsive to disgust-related stimuli (Wager et al., 2008).”