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Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages.

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Title: Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages.
Authors: Yoo, Jaejun1 jaejun.yoo@kaist.ac.kr, Kim, Eun Young2 npeunyoung@gmail.com, Ahn, Yong Min3 aym@snu.ac.kr, Ye, Jong Chul1 jong.ye@kaist.ac.kr
Source: Journal of Neuroscience Methods. Jul2016, Vol. 267, p1-13. 13p.
Subjects: Brain function localization, Neural circuitry, Brain stimulation, Information theory, Topology
Abstract: Background Recent studies have shown the dynamic functional connectivity (FC) of the brain. Accordingly, new challenges have arisen for analyzing and interpreting this rich information. New method We identified the patterns of coherent FC using a novel method in computational topology called the persistence vineyard. It has been developed to track the characteristic change of the network topology under data perturbations in a threshold-free manner. Results We showed the relevance of this new approach by examining the dynamic FC in the resting and gaming stages of 26 healthy subjects. Our proposed method revealed stage and band-specific FC states that were topologically robust. Comparison with existing methods While principal component analysis (PCA) estimated similar patterns to our FC states, it produced spurious connectivity due to its orthogonality assumption. Temporal variations of local and global network properties were examined with graph measures. However, unlike the persistence vineyard approach, their results were affected by the network density and its unknown topology. Conclusions Unlike the existing methods, the persistence vineyard provided a more reliable and robust way to estimate FC states. Their extracted network topology changes showed patterns consistent with those of previous studies. Therefore, it may be a potentially powerful tool for studying the dynamic brain network. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. 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
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DbLabel: Engineering Source
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  Data: Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages.
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  Data: <searchLink fieldCode="AR" term="%22Yoo%2C+Jaejun%22">Yoo, Jaejun</searchLink><relatesTo>1</relatesTo><i> jaejun.yoo@kaist.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Eun+Young%22">Kim, Eun Young</searchLink><relatesTo>2</relatesTo><i> npeunyoung@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ahn%2C+Yong+Min%22">Ahn, Yong Min</searchLink><relatesTo>3</relatesTo><i> aym@snu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Ye%2C+Jong+Chul%22">Ye, Jong Chul</searchLink><relatesTo>1</relatesTo><i> jong.ye@kaist.ac.kr</i>
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  Data: <searchLink fieldCode="DE" term="%22Brain+function+localization%22">Brain function localization</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+circuitry%22">Neural circuitry</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+stimulation%22">Brain stimulation</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink><br /><searchLink fieldCode="DE" term="%22Topology%22">Topology</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Background Recent studies have shown the dynamic functional connectivity (FC) of the brain. Accordingly, new challenges have arisen for analyzing and interpreting this rich information. New method We identified the patterns of coherent FC using a novel method in computational topology called the persistence vineyard. It has been developed to track the characteristic change of the network topology under data perturbations in a threshold-free manner. Results We showed the relevance of this new approach by examining the dynamic FC in the resting and gaming stages of 26 healthy subjects. Our proposed method revealed stage and band-specific FC states that were topologically robust. Comparison with existing methods While principal component analysis (PCA) estimated similar patterns to our FC states, it produced spurious connectivity due to its orthogonality assumption. Temporal variations of local and global network properties were examined with graph measures. However, unlike the persistence vineyard approach, their results were affected by the network density and its unknown topology. Conclusions Unlike the existing methods, the persistence vineyard provided a more reliable and robust way to estimate FC states. Their extracted network topology changes showed patterns consistent with those of previous studies. Therefore, it may be a potentially powerful tool for studying the dynamic brain network. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. 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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.jneumeth.2016.04.001
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      – Code: eng
        Text: English
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      – SubjectFull: Brain function localization
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      – SubjectFull: Neural circuitry
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      – SubjectFull: Brain stimulation
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      – SubjectFull: Information theory
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      – TitleFull: Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages.
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              Text: Jul2016
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