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Attention Bias in Rumination and Depression: Cognitive Mechanisms and Brain Networks.


ABSTRACT: Depressed individuals exhibit biased attention to negative emotional information. However, much remains unknown about (1) the neurocognitive mechanisms of attention bias (e.g., qualities of negative information that evoke attention bias, or functional brain network dynamics that may reflect a propensity for biased attention) and (2) distinctions in the types of attention bias related to different dimensions of depression (e.g., ruminative depression). Here, in 50 women, clinical depression was associated with facilitated processing of negative information only when such information was self-descriptive and task-relevant. However, among depressed individuals, trait rumination was associated with biases towards negative self-descriptive information regardless of task goals, especially when negative self-descriptive material was paired with self-referential images that should be ignored. Attention biases in ruminative depression were mediated by dynamic variability in frontoinsular resting-state functional connectivity. These findings highlight potential cognitive and functional network mechanisms of attention bias specifically related to the ruminative dimension of depression.

SUBMITTER: Kaiser RH 

PROVIDER: S-EPMC6519952 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Attention Bias in Rumination and Depression: Cognitive Mechanisms and Brain Networks.

Kaiser Roselinde H RH   Snyder Hannah R HR   Goer Franziska F   Clegg Rachel R   Ironside Manon M   Pizzagalli Diego A DA  

Clinical psychological science : a journal of the Association for Psychological Science 20180921 6


Depressed individuals exhibit biased attention to negative emotional information. However, much remains unknown about (1) the neurocognitive mechanisms of attention bias (e.g., qualities of negative information that evoke attention bias, or functional brain network dynamics that may reflect a propensity for biased attention) and (2) distinctions in the types of attention bias related to different dimensions of depression (e.g., ruminative depression). Here, in 50 women, clinical depression was a  ...[more]

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