期刊
JOURNAL OF NEUROSCIENCE
卷 37, 期 13, 页码 3523-3531出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.2509-16.2017
关键词
fMRI; functional connectivity; graph theory; memory retrieval; modularity; source memory
资金
- UCLA Division of Life Sciences
- UCLA NeuroImaging Training Program Fellowship subaward from the National Institutes of Health [5R90DA023422-10]
Most complex cognitive tasks require the coordinated interplay of multiple brain networks, but the act of retrieving an episodic memory may place especially heavy demands for communication between the frontoparietal control network (FPCN) and the default mode network (DMN), two networks that do not strongly interact with one another inmanytask contexts. Weapplied graph theoretical analysis to task-related fMRI functional connectivity data from 20 human participants and found that global brain modularity-a measure of network segregation-is markedly reduced during episodic memory retrieval relative to closely matched analogical reasoning and visuospatial perception tasks. Individual differences in modularity were correlated with memory task performance, such that lower modularity levels were associated with a lower false alarm rate. Moreover, the FPCN and DMN showed significantly elevated coupling with each other during thememorytask, which correlated with the global reduction in brain modularity. Both networks also strengthened their functional connectivity with the hippocampus during the memory task. Together, these results provide a novel demonstration that reduced modularity is conducive to effective episodic retrieval, which requires close collaboration between goal-directed control processes supported by the FPCN and internally oriented self-referential processing supported by the DMN.
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