Dynamic reconfiguration of the default mode network during narrative comprehension

Simony, Erez; Honey, Christopher; Chen, Janice; Lositsky, Olga; Yeshurun, Yaara; Wiesel, Ami; Hasson, Uri
Issue date: 18 July 2016
Cite as:
Simony, Erez, Honey, Christopher, Chen, Janice, Lositsky, Olga, Yeshurun, Yaara, Wiesel, Ami, & Hasson, Uri. (2016). Dynamic reconfiguration of the default mode network during narrative comprehension [Data set]. https://doi.org/10.34770/nvet-9850
  author      = {Simony, Erez and
                Honey, Christopher and
                Chen, Janice and
                Lositsky, Olga and
                Yeshurun, Yaara and
                Wiesel, Ami and
                Hasson, Uri},
  title       = {{Dynamic reconfiguration of the default m
                ode network during narrative comprehensi
  year        = 2016,
  url         = {https://doi.org/10.34770/nvet-9850}

Does the default mode network (DMN) reconfigure to encode information about the changing environment? This question has proven difficult, because patterns of functional connectivity reflect a mixture of stimulus-induced neural processes, intrinsic neural processes and non-neuronal noise. Here we introduce inter-subject functional correlation (ISFC), which isolates stimulus-dependent inter-regional correlations between brains exposed to the same stimulus. During fMRI, we had subjects listen to a real-life auditory narrative and to temporally scrambled versions of the narrative. We used ISFC to isolate correlation patterns within the DMN that were locked to the processing of each narrative segment and specific to its meaning within the narrative context. The momentary configurations of DMN ISFC were highly replicable across groups. Moreover, DMN coupling strength predicted memory of narrative segments. Thus, ISFC opens new avenues for linking brain network dynamics to stimulus features and behaviour.

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Subjects were scanned in a 3T full-body MRI scanner while listening to a three version of a story, an intact version, a version in paragraph scramble condition, and word scramble condition.

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Download the README.txt file for a detailed description of this dataset's content

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