Philip Kragel
Cited by
Cited by
Decoding the nature of emotion in the brain
PA Kragel, KS LaBar
Trends in cognitive sciences 20 (6), 444-455, 2016
Neurobehavioral mechanisms of human fear generalization
JE Dunsmoor, SE Prince, VP Murty, PA Kragel, KS LaBar
Neuroimage 55 (4), 1878-1888, 2011
Multivariate neural biomarkers of emotional states are categorically distinct
PA Kragel, KS LaBar
Social cognitive and affective neuroscience 10 (11), 1437-1448, 2015
Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex
PA Kragel, M Kano, L Van Oudenhove, HG Ly, P Dupont, A Rubio, ...
Nature neuroscience 21 (2), 283-289, 2018
Representation, pattern information, and brain signatures: from neurons to neuroimaging
PA Kragel, L Koban, LF Barrett, TD Wager
Neuron 99 (2), 257-273, 2018
Role of the inferior frontal cortex in coping with distracting emotions
F Dolcos, P Kragel, L Wang, G McCarthy
Neuroreport 17 (15), 1591-1594, 2006
Emotion schemas are embedded in the human visual system
PA Kragel, MC Reddan, KS LaBar, TD Wager
Science advances 5 (7), eaaw4358, 2019
Dynamic neural networks supporting memory retrieval
PLS Jacques, PA Kragel, DC Rubin
Neuroimage 57 (2), 608-616, 2011
Effect of pain reprocessing therapy vs placebo and usual care for patients with chronic back pain: a randomized clinical trial
YK Ashar, A Gordon, H Schubiner, C Uipi, K Knight, Z Anderson, ...
JAMA psychiatry 79 (1), 13-23, 2022
Multivariate pattern classification reveals autonomic and experiential representations of discrete emotions
PA Kragel, KS LaBar
Emotion 13 (4), 681, 2013
Regional brain differences in the effect of distraction during the delay interval of a working memory task
F Dolcos, B Miller, P Kragel, A Jha, G McCarthy
Brain research 1152, 171-181, 2007
Aversive learning modulates cortical representations of object categories
JE Dunsmoor, PA Kragel, A Martin, KS LaBar
Cerebral cortex 24 (11), 2859-2872, 2014
Decoding spontaneous emotional states in the human brain
PA Kragel, AR Knodt, AR Hariri, KS LaBar
PLoS biology 14 (9), e2000106, 2016
Functional MRI can be highly reliable, but it depends on what you measure: A commentary on Elliott et al.(2020)
PA Kragel, X Han, TE Kraynak, PJ Gianaros, TD Wager
Psychological Science 32 (4), 622-626, 2021
Development and validation of an unsupervised scoring system (Autonomate) for skin conductance response analysis
SR Green, PA Kragel, ME Fecteau, KS LaBar
International Journal of Psychophysiology 91 (3), 186-193, 2014
Deconstructing arousal into wakeful, autonomic and affective varieties
AB Satpute, PA Kragel, LF Barrett, TD Wager, M Bianciardi
Neuroscience letters 693, 19-28, 2019
Medial prefrontal pathways for the contextual regulation of extinguished fear in humans
F Åhs, PA Kragel, DJ Zielinski, R Brady, KS LaBar
Neuroimage 122, 262-271, 2015
Advancing emotion theory with multivariate pattern classification
PA Kragel, KS LaBar
Emotion Review 6 (2), 160-174, 2014
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
B Azari, C Westlin, AB Satpute, JB Hutchinson, PA Kragel, K Hoemann, ...
Scientific reports 10 (1), 20284, 2020
Neural networks supporting autobiographical memory retrieval in posttraumatic stress disorder
PL St. Jacques, PA Kragel, DC Rubin
Cognitive, Affective, & Behavioral Neuroscience 13, 554-566, 2013
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