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Resting connectivity between salience nodes predicts recognition memory

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2017

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Oxford University Press
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Andreano, Joseph M., Alexandra Touroutoglou, Bradford C. Dickerson, and Lisa F. Barrett. 2017. “Resting connectivity between salience nodes predicts recognition memory.” Social Cognitive and Affective Neuroscience 12 (6): 948-955. doi:10.1093/scan/nsx026. http://dx.doi.org/10.1093/scan/nsx026.

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Abstract

Abstract The resting connectivity of the brain’s salience network, particularly the ventral subsystem of the salience network, has been previously associated with various measures of affective reactivity. Numerous studies have demonstrated that increased affective arousal leads to enhanced consolidation of memory. This suggests that individuals with greater ventral salience network connectivity will exhibit greater responses to affective experience, leading to a greater enhancement of memory by affect. To test this hypothesis, resting ventral salience connectivity was measured in 41 young adults, who were then exposed to neutral and negative affect inductions during a paired associate memory test. Memory performance for material learned under both negative and neutral induction was tested for correlation with resting connectivity between major ventral salience nodes. The results showed a significant interaction between mood induction (negative vs neutral) and connectivity between ventral anterior insula and pregenual anterior cingulate cortex, indicating that salience node connectivity predicted memory for material encoded under negative, but not neutral induction. These findings suggest that the network state of the perceiver, measured prior to affective experience, meaningfully influences the extent to which affect modulates memory. Implications of these findings for individuals with affective disorder, who show alterations in both connectivity and memory, are considered.

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salience network, memory, resting fMRI

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