TY - JOUR
T1 - Neural correlates of emotion regulation in psychopathology
AU - Taylor, Stephan F.
AU - Liberzon, Israel
N1 - Funding Information:
Supported by NIMH MH078281 and MH64148 to S.F.T., and MH075999 to I. L. The authors would like to thank J. Abelson for Figure I .
PY - 2007/10
Y1 - 2007/10
N2 - What can psychopathology and its treatment tell us about cognitive emotional interactions? Standard approaches to interactions between emotion and cognition often adopt a variant of the idea that cognitive processes, subserved by dorsal and lateral cortical circuits, exert control and regulation of ventral, limbic brain areas associated with emotional expression and experience. However, it is becoming clear from studies on depression, post-traumatic stress disorder (PTSD) and obsessive compulsive disorder (OCD), that a binary, opponent theory of cognitive emotion interaction (CEI) and the dorsal-ventral model of neurocircuitry do not fully describe the data. We summarize recent research to suggest that networks of direct and indirect pathways exist by which cognition can regulate pathological emotion, and the inter-relationships of specific nodes within the networks need to be characterized.
AB - What can psychopathology and its treatment tell us about cognitive emotional interactions? Standard approaches to interactions between emotion and cognition often adopt a variant of the idea that cognitive processes, subserved by dorsal and lateral cortical circuits, exert control and regulation of ventral, limbic brain areas associated with emotional expression and experience. However, it is becoming clear from studies on depression, post-traumatic stress disorder (PTSD) and obsessive compulsive disorder (OCD), that a binary, opponent theory of cognitive emotion interaction (CEI) and the dorsal-ventral model of neurocircuitry do not fully describe the data. We summarize recent research to suggest that networks of direct and indirect pathways exist by which cognition can regulate pathological emotion, and the inter-relationships of specific nodes within the networks need to be characterized.
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U2 - 10.1016/j.tics.2007.08.006
DO - 10.1016/j.tics.2007.08.006
M3 - Article
C2 - 17928261
AN - SCOPUS:35348834801
SN - 1364-6613
VL - 11
SP - 413
EP - 418
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
IS - 10
ER -