Macro-scale patterns in functional connectivity associated with ongoing thought patterns and dispositional traits Article Swipe
Samyogita Hardikar
,
Brontë Mckeown
,
H. Lina Schaare
,
Ting Xu
,
Mark E. Lauckner
,
Sofie L. Valk
,
Daniel S. Margulies
,
Adam Turnbull
,
Boris C. Bernhardt
,
Reinder Vos de Wael
,
Arno Villringer
,
Jonathan Smallwood
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7554/elife.93689.1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7554/elife.93689.1
Complex macro-scale patterns of brain activity that emerge during periods of wakeful rest provide insight into the organisation of neural function, how these differentiate individuals based on their traits, and the neural basis of different types of self-generated thoughts. Although brain activity during wakeful rest is valuable for understanding important features of human cognition, its unconstrained nature makes it difficult to disentangle neural features related to personality traits from those related to the thoughts occurring at rest. Our study builds on recent perspectives from work on ongoing conscious thought that highlight the interactions between three brain networks - ventral and dorsal attention networks, as well as the default mode network. We combined measures of personality with state-of-the-art indices of ongoing thoughts at rest and brain imaging analysis, and explored whether this ‘tri-partite’ view can provide a framework within which to understand the contribution of states and traits to observed patterns of neural activity at rest. To capture macro-scale relationships between different brain systems, we calculated cortical gradients to describe brain organisation in a low dimensional space. Our analysis established that for more introverted individuals, regions of the ventral attention network were functionally more aligned to regions of the somatomotor system and the default mode network. At the same time, a pattern of detailed self-generated thought was associated with a decoupling of regions of dorsal attention from regions in the default mode network. Our study, therefore, establishes that interactions between attention systems and the default mode network are important influences on ongoing thought at rest and highlights the value of integrating contemporary perspectives on conscious experience when understanding patterns of brain activity at rest.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.93689.1
- https://github.com/elifesciences/enhanced-preprints-data/raw/master/data/93689/v1/93689-v1.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391487056
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391487056Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7554/elife.93689.1Digital Object Identifier
- Title
-
Macro-scale patterns in functional connectivity associated with ongoing thought patterns and dispositional traitsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-02Full publication date if available
- Authors
-
Samyogita Hardikar, Brontë Mckeown, H. Lina Schaare, Ting Xu, Mark E. Lauckner, Sofie L. Valk, Daniel S. Margulies, Adam Turnbull, Boris C. Bernhardt, Reinder Vos de Wael, Arno Villringer, Jonathan SmallwoodList of authors in order
- Landing page
-
https://doi.org/10.7554/elife.93689.1Publisher landing page
- PDF URL
-
https://github.com/elifesciences/enhanced-preprints-data/raw/master/data/93689/v1/93689-v1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://github.com/elifesciences/enhanced-preprints-data/raw/master/data/93689/v1/93689-v1.pdfDirect OA link when available
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Scale (ratio), Psychology, Macro, Functional connectivity, Cognitive psychology, Computer science, Geography, Neuroscience, Cartography, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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61Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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