Brain Map of Intrinsic Functional Flexibility in Anesthetized Monkeys and Awake Humans Article Swipe
Dazhi Yin
,
Zhao Zhang
,
Zhiwei Wang
,
Kristina Zeljic
,
Qian Lv
,
Dan-Chao Cai
,
Yingwei Wang
,
Zheng Wang
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3389/fnins.2019.00174
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3389/fnins.2019.00174
Emerging neuroimaging studies emphasize the dynamic organization of spontaneous brain activity in both human and non-human primates, even under anesthesia. In a recent study, we were able to characterize the heterogeneous architecture of intrinsic functional flexibility in the awake, resting human brain using time-resolved analysis and a probabilistic model. However, it is unknown whether this organizational principle is preserved in the anesthetized monkey brain, and how anesthesia affects dynamic and static measurements of spontaneous brain activity. To investigate these issues, we collected resting-state functional magnetic resonance imaging (fMRI) datasets from 178 awake humans and 11 anesthetized monkeys (all healthy). Our recently established method, a complexity measurement (i.e., Shannon entropy) of dynamic functional connectivity patterns of each brain region, was used to map the intrinsic functional flexibility across the cerebral cortex. To further explore the potential effects of anesthesia, we performed time series analysis and correlation analysis between dynamic and static measurements within awake human and anesthetized monkey brains, respectively. We observed a heterogeneous profile of intrinsic functional flexibility in the anesthetized monkey brain, which showed some similarities to that of awake humans (r = 0.30, p = 0.007). However, we found that brain activity in anesthetized monkeys generally shifted toward random fluctuations. Moreover, there is a negative correlation between nodal entropy for the distribution of dynamic functional connectivity patterns and static functional connectivity strength in anesthetized monkeys, but not in awake humans. Our findings indicate that the heterogeneous architecture of intrinsic functional flexibility across cortex probably reflects an evolutionarily conserved aspect of functional brain organization, which persists across levels of cognitive processing (states of consciousness). The coupling between nodal entropy for the distribution of dynamic functional connectivity patterns and static functional connectivity strength may serve as a potential signature of anesthesia. This study not only offers fresh insight into the evolution of brain functional architecture, but also advances our understanding of the dynamics of spontaneous brain activity.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fnins.2019.00174
- https://www.frontiersin.org/articles/10.3389/fnins.2019.00174/pdf
- OA Status
- gold
- Cited By
- 18
- References
- 73
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2919510601
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- OpenAlex ID
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https://openalex.org/W2919510601Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fnins.2019.00174Digital Object Identifier
- Title
-
Brain Map of Intrinsic Functional Flexibility in Anesthetized Monkeys and Awake HumansWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-02-27Full publication date if available
- Authors
-
Dazhi Yin, Zhao Zhang, Zhiwei Wang, Kristina Zeljic, Qian Lv, Dan-Chao Cai, Yingwei Wang, Zheng WangList of authors in order
- Landing page
-
https://doi.org/10.3389/fnins.2019.00174Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fnins.2019.00174/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fnins.2019.00174/pdfDirect OA link when available
- Concepts
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Neuroscience, Flexibility (engineering), Psychology, Wakefulness, Functional connectivity, Electroencephalography, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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18Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 1, 2022: 2, 2021: 8Per-year citation counts (last 5 years)
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73Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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