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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp015d86p269k
Title: Dynamic reconfiguration of the default mode network during narrative comprehension
Contributors: Simony, Erez
Honey, Christopher
Chen, Janice
Lositsky, Olga
Yeshurun, Yaara
Wiesel, Ami
Hasson, Uri
Issue Date: 18-Jul-2016
Related Publication: Erez Simony, Christopher J Honey, Janice Chen, Olga Lositsky, Yaara Yeshurun, Ami Wiesel, and Uri Hasson. Dynamic reconfiguration of the default mode network during narrative comprehension. Nature Commu- nications, 7:12141 EP –, 07 2016.
Abstract: 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.
Description: 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.
Download the README.txt file for a detailed description of this dataset's content
URI: http://arks.princeton.edu/ark:/88435/dsp015d86p269k
https://doi.org/10.34770/nvet-9850
Referenced By: doi:10.1038/ncomms12141
Appears in Collections:Research Data Sets

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