Understanding neural flexibility from a multifaceted definition Article Swipe
Dazhi Yin
,
Marcus Kaiser
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.neuroimage.2021.118027
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.neuroimage.2021.118027
Flexibility is a hallmark of human intelligence. Emerging studies have proposed several flexibility measurements at the level of individual regions, to produce a brain map of neural flexibility. However, flexibility is usually inferred from separate components of brain activity (i.e., intrinsic/task-evoked), and different definitions are used. Moreover, recent studies have argued that neural processing may be more than a task-driven and intrinsic dichotomy. Therefore, the understanding to neural flexibility is still incomplete. To address this issue, we propose a multifaceted definition of neural flexibility according to three key features: broad cognitive engagement, distributed connectivity, and adaptive connectome dynamics. For these three features, we first review the advances in computational approaches, their functional relevance, and their potential pitfalls. We then suggest a set of metrics that can help us assign a flexibility rating to each region. Subsequently, we present an emergent probabilistic view for further understanding the functional operation of individual regions in the unified framework of intrinsic and task-driven states. Finally, we highlight several areas related to the multifaceted definition of neural flexibility for future research. This review not only strengthens our understanding of flexible human brain, but also suggests that the measure of neural flexibility could bridge the gap between understanding intrinsic and task-driven brain function dynamics.
Related Topics
Concepts
Flexibility (engineering)
Computer science
Task (project management)
Cognitive flexibility
Set (abstract data type)
Artificial intelligence
Relevance (law)
Probabilistic logic
Artificial neural network
Function (biology)
Machine learning
Cognitive science
Cognition
Psychology
Neuroscience
Biology
Statistics
Political science
Economics
Evolutionary biology
Management
Mathematics
Law
Programming language
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.neuroimage.2021.118027
- OA Status
- gold
- Cited By
- 23
- References
- 156
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3143438860
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W3143438860Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.neuroimage.2021.118027Digital Object Identifier
- Title
-
Understanding neural flexibility from a multifaceted definitionWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-06Full publication date if available
- Authors
-
Dazhi Yin, Marcus KaiserList of authors in order
- Landing page
-
https://doi.org/10.1016/j.neuroimage.2021.118027Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.neuroimage.2021.118027Direct OA link when available
- Concepts
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Flexibility (engineering), Computer science, Task (project management), Cognitive flexibility, Set (abstract data type), Artificial intelligence, Relevance (law), Probabilistic logic, Artificial neural network, Function (biology), Machine learning, Cognitive science, Cognition, Psychology, Neuroscience, Biology, Statistics, Political science, Economics, Evolutionary biology, Management, Mathematics, Law, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
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2025: 3, 2024: 7, 2023: 1, 2022: 8, 2021: 4Per-year citation counts (last 5 years)
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156Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5005260652, https://openalex.org/A5037120132 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I142263535, https://openalex.org/I183067930, https://openalex.org/I66867065, https://openalex.org/I84884186 |
| citation_normalized_percentile.value | 0.88917862 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |