title: Episodic Memory Retrieval Benefits from a Less Modular Brain Network Organization.
abstract: 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 in many task contexts. We applied 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 the memory task, 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.SIGNIFICANCE STATEMENTModularity, an index of the degree to which nodes of a complex system are organized into discrete communities, has emerged as an important construct in the characterization of brain connectivity dynamics. We provide novel evidence that the modularity of the human brain is reduced when individuals engage in episodic memory retrieval, relative to other cognitive tasks, and that this state of lower modularity is associated with improved memory performance. We propose a neural systems mechanism for this finding where the nodes of the frontoparietal control network and default mode network strengthen their interaction with one another during episodic retrieval. Such across-network communication likely facilitates effective access to internally generated representations of past event knowledge.
authors.affiliation: Department of Psychology, awestphal@ucla.edu rissman@psych.ucla.edu.
authors.forename: Andrew J
authors.identifier: 0000-0002-8174-6159
authors.initials: AJ
authors.lastname: Westphal
authors.affiliation: Department of Psychology.
authors.forename: Siliang
authors.identifier: 0000-0002-2462-8201
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Psychology, awestphal@ucla.edu rissman@psych.ucla.edu.|Department of Psychiatry and Biobehavioral Sciences.|Brain Research Institute, and.|Integrative Center for Learning and Memory, University of California Los Angeles, Los Angeles, California 90095.
authors.forename: Jesse
authors.identifier: 0000-0001-8889-5539
authors.initials: J
authors.lastname: Rissman
mesh_terms: D005260:Female; D005625:Frontal Lobe / Q000502:physiology*; D006624:Hippocampus / Q000502:physiology*; D006801:Humans; D008297:Male; D061212:Memory, Episodic; D011939:Mental Recall / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D010296:Parietal Lobe / Q000502:physiology*; D013647:Task Performance and Analysis; D055815:Young Adult
keywords: fMRI; functional connectivity; graph theory; memory retrieval; modularity; source memory