Activity flow mapping over probabilistic functional connectivity Article Swipe
Hengcheng Zhu
,
Ziyi Huang
,
Yifeixue Yang
,
Kaiqiang Su
,
Mingxia Fan
,
Yong Zou
,
Ting Li
,
Dazhi Yin
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.26044
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.26044
Emerging evidence indicates that activity flow over resting‐state network topology allows the prediction of task activations. However, previous studies have mainly adopted static, linear functional connectivity (FC) estimates as activity flow routes. It is unclear whether an intrinsic network topology that captures the dynamic nature of FC can be a better representation of activity flow routes. Moreover, the effects of between‐ versus within‐network connections and tight versus loose (using rest baseline) task contrasts on the prediction of task‐evoked activity across brain systems remain largely unknown. In this study, we first propose a probabilistic FC estimation derived from a dynamic framework as a new activity flow route. Subsequently, activity flow mapping was tested using between‐ and within‐network connections separately for each region as well as using a set of tight task contrasts. Our results showed that probabilistic FC routes substantially improved individual‐level activity flow prediction. Although it provided better group‐level prediction, the multiple regression approach was more dependent on the length of data points at the individual‐level prediction. Regardless of FC type, we consistently observed that between‐network connections showed a relatively higher prediction performance in higher‐order cognitive control than in primary sensorimotor systems. Furthermore, cognitive control systems exhibit a remarkable increase in prediction accuracy with tight task contrasts and a decrease in sensorimotor systems. This work demonstrates that probabilistic FC estimates are promising routes for activity flow mapping and also uncovers divergent influences of connectional topology and task contrasts on activity flow prediction across brain systems with different functional hierarchies.
Related Topics
Concepts
Probabilistic logic
Computer science
Network topology
Task (project management)
Set (abstract data type)
Representation (politics)
Flow (mathematics)
Topology (electrical circuits)
Artificial intelligence
Mathematics
Engineering
Operating system
Combinatorics
Systems engineering
Politics
Programming language
Political science
Geometry
Law
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/hbm.26044
- OA Status
- gold
- Cited By
- 7
- References
- 85
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4292661425
All OpenAlex metadata
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https://openalex.org/W4292661425Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/hbm.26044Digital Object Identifier
- Title
-
Activity flow mapping over probabilistic functional connectivityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-08-10Full publication date if available
- Authors
-
Hengcheng Zhu, Ziyi Huang, Yifeixue Yang, Kaiqiang Su, Mingxia Fan, Yong Zou, Ting Li, Dazhi YinList of authors in order
- Landing page
-
https://doi.org/10.1002/hbm.26044Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1002/hbm.26044Direct OA link when available
- Concepts
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Probabilistic logic, Computer science, Network topology, Task (project management), Set (abstract data type), Representation (politics), Flow (mathematics), Topology (electrical circuits), Artificial intelligence, Mathematics, Engineering, Operating system, Combinatorics, Systems engineering, Politics, Programming language, Political science, Geometry, LawTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 1, 2024: 3, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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85Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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