Dynamic neural networks supporting memory retrieval.

dc.contributor.author

St Jacques, Peggy L

dc.contributor.author

Kragel, Philip A

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Rubin, David C

dc.coverage.spatial

United States

dc.date.accessioned

2015-05-12T14:48:49Z

dc.date.issued

2011-07-15

dc.description.abstract

How do separate neural networks interact to support complex cognitive processes such as remembrance of the personal past? Autobiographical memory (AM) retrieval recruits a consistent pattern of activation that potentially comprises multiple neural networks. However, it is unclear how such large-scale neural networks interact and are modulated by properties of the memory retrieval process. In the present functional MRI (fMRI) study, we combined independent component analysis (ICA) and dynamic causal modeling (DCM) to understand the neural networks supporting AM retrieval. ICA revealed four task-related components consistent with the previous literature: 1) medial prefrontal cortex (PFC) network, associated with self-referential processes, 2) medial temporal lobe (MTL) network, associated with memory, 3) frontoparietal network, associated with strategic search, and 4) cingulooperculum network, associated with goal maintenance. DCM analysis revealed that the medial PFC network drove activation within the system, consistent with the importance of this network to AM retrieval. Additionally, memory accessibility and recollection uniquely altered connectivity between these neural networks. Recollection modulated the influence of the medial PFC on the MTL network during elaboration, suggesting that greater connectivity among subsystems of the default network supports greater re-experience. In contrast, memory accessibility modulated the influence of frontoparietal and MTL networks on the medial PFC network, suggesting that ease of retrieval involves greater fluency among the multiple networks contributing to AM. These results show the integration between neural networks supporting AM retrieval and the modulation of network connectivity by behavior.

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/21550407

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S1053-8119(11)00438-1

dc.identifier.eissn

1095-9572

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https://hdl.handle.net/10161/9775

dc.language

eng

dc.publisher

Elsevier BV

dc.relation.ispartof

Neuroimage

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10.1016/j.neuroimage.2011.04.039

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Adolescent

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Adult

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Brain Mapping

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Female

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Humans

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Image Interpretation, Computer-Assisted

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Magnetic Resonance Imaging

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Male

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Memory

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Mental Recall

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Prefrontal Cortex

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Young Adult

dc.title

Dynamic neural networks supporting memory retrieval.

dc.type

Journal article

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/21550407

pubs.begin-page

608

pubs.end-page

616

pubs.issue

2

pubs.organisational-group

Duke

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Duke Institute for Brain Sciences

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Institutes and Provost's Academic Units

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Psychology and Neuroscience

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Trinity College of Arts & Sciences

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University Institutes and Centers

pubs.publication-status

Published

pubs.volume

57

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