Default mode network can support the level of detail in experience during active task states.
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| Title: | Default mode network can support the level of detail in experience during active task states. |
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| Authors: | Sormaz, Mladen1, Murphy, Charlotte1, Hao-ting Wang1, Hymers, Mark1, Karapanagiotidis, Theodores1, Jefferies, Elizabeth1, Smallwood, Jonathan1, Poerio, Giulia2, Margulies, Daniel S.3 |
| Source: | Proceedings of the National Academy of Sciences of the United States of America. 9/11/2018, Vol. 115 Issue 37, p9318-9323. 6p. |
| Subjects: | Task assessment, Cognition, Brain imaging, Experience, Sensorimotor cortex, Mind-wandering, Data analysis |
| Abstract: | Regions of transmodal cortex, in particular the default mode network (DMN), have historically been argued to serve functions unrelated to task performance, in part because of associations with naturally occurring periods of off-task thought. In contrast, contemporary views of the DMN suggest it plays an integrative role in cognition that emerges from its location at the top of a cortical hierarchy and its relative isolation from systems directly involved in perception and action. The combination of these topographical features may allow the DMN to support abstract representations derived from lower levels in the hierarchy and so reflect the broader cognitive landscape. To investigate these contrasting views of DMN function, we sampled experience as participants performed tasks varying in their working-memory load while inside an fMRI scanner. We used self-report data to establish dimensions of thought that describe levels of detail, the relationship to a task, the modality of thought, and its emotional qualities. We used representational similarity analysis to examine correspondences between patterns of neural activity and each dimension of thought. Our results were inconsistent with a task-negative view of DMN function. Distinctions between on- and off-task thought were associated with patterns of consistent neural activity in regions adjacent to unimodal cortex, including motor and premotor cortex. Detail in ongoing thought was associated with patterns of activity within the DMN during periods of working-memory maintenance. These results demonstrate a contribution of the DMN to ongoing cognition extending beyond task-unrelated processing that can include detailed experiences occurring under active task conditions. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 131763317 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1073/pnas.1721259115 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 9318 Subjects: – SubjectFull: Task assessment Type: general – SubjectFull: Cognition Type: general – SubjectFull: Brain imaging Type: general – SubjectFull: Experience Type: general – SubjectFull: Sensorimotor cortex Type: general – SubjectFull: Mind-wandering Type: general – SubjectFull: Data analysis Type: general Titles: – TitleFull: Default mode network can support the level of detail in experience during active task states. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sormaz, Mladen – PersonEntity: Name: NameFull: Murphy, Charlotte – PersonEntity: Name: NameFull: Hao-ting Wang – PersonEntity: Name: NameFull: Hymers, Mark – PersonEntity: Name: NameFull: Karapanagiotidis, Theodores – PersonEntity: Name: NameFull: Jefferies, Elizabeth – PersonEntity: Name: NameFull: Smallwood, Jonathan – PersonEntity: Name: NameFull: Poerio, Giulia – PersonEntity: Name: NameFull: Margulies, Daniel S. IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 09 Text: 9/11/2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00278424 Numbering: – Type: volume Value: 115 – Type: issue Value: 37 Titles: – TitleFull: Proceedings of the National Academy of Sciences of the United States of America Type: main |
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