Inference of functional connectivity from structural brain connectivity

Fani Deligianni; Emma C. Robinson; Christian F. Beckmann; David Sharp; A. David Edwards; Daniel Rueckert

doi:10.1109/ISBI.2010.5490188

Inference of functional connectivity from structural brain connectivity

Fani Deligianni, Emma C. Robinson, Christian F. Beckmann, David Sharp, A. David Edwards, Daniel Rueckert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Studies that examine the relationship of functional and structural connectivity are tremendously important in interpreting neurophysiological data. Although, the relationship between functional and structural connectivity has been explored with a number of statistical tools [1, 2], there is no explicit attempt to quantitatively measure how well functional data can be predicted from structural data. Here, we predict functional connectivity from structural connectivity, explicitly, by utilizing a predictive model based on PCA and CCA. The combination of these techniques allowed the reduction of dimensionality and modeling of intercorrelations, successfully. We provide both qualitative and quantitative results based on a leave-one-out validation.

Original language	English
Title of host publication	2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2010 - Proceedings
Pages	1113-1116
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2010.5490188
State	Published - 2010
Externally published	Yes
Event	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010

Publication series

Name	2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Conference

Conference	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/Territory	Netherlands
City	Rotterdam
Period	14/04/10 → 17/04/10

Keywords

Brain connectivity
Functional connectivity
Structural connectivity
Tractography
fMRI

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10.1109/ISBI.2010.5490188

Cite this

Deligianni, F., Robinson, E. C., Beckmann, C. F., Sharp, D., Edwards, A. D., & Rueckert, D. (2010). Inference of functional connectivity from structural brain connectivity. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 1113-1116). Article 5490188 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). https://doi.org/10.1109/ISBI.2010.5490188

Deligianni, Fani ; Robinson, Emma C. ; Beckmann, Christian F. et al. / Inference of functional connectivity from structural brain connectivity. 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. pp. 1113-1116 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

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title = "Inference of functional connectivity from structural brain connectivity",

abstract = "Studies that examine the relationship of functional and structural connectivity are tremendously important in interpreting neurophysiological data. Although, the relationship between functional and structural connectivity has been explored with a number of statistical tools [1, 2], there is no explicit attempt to quantitatively measure how well functional data can be predicted from structural data. Here, we predict functional connectivity from structural connectivity, explicitly, by utilizing a predictive model based on PCA and CCA. The combination of these techniques allowed the reduction of dimensionality and modeling of intercorrelations, successfully. We provide both qualitative and quantitative results based on a leave-one-out validation.",

keywords = "Brain connectivity, Functional connectivity, Structural connectivity, Tractography, fMRI",

author = "Fani Deligianni and Robinson, {Emma C.} and Beckmann, {Christian F.} and David Sharp and Edwards, {A. David} and Daniel Rueckert",

year = "2010",

doi = "10.1109/ISBI.2010.5490188",

language = "English",

isbn = "9781424441266",

series = "2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings",

pages = "1113--1116",

booktitle = "2010 7th IEEE International Symposium on Biomedical Imaging",

note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

}

Deligianni, F, Robinson, EC, Beckmann, CF, Sharp, D, Edwards, AD & Rueckert, D 2010, Inference of functional connectivity from structural brain connectivity. in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings., 5490188, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, pp. 1113-1116, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 14/04/10. https://doi.org/10.1109/ISBI.2010.5490188

Inference of functional connectivity from structural brain connectivity. / Deligianni, Fani; Robinson, Emma C.; Beckmann, Christian F. et al.
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 1113-1116 5490188 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Studies that examine the relationship of functional and structural connectivity are tremendously important in interpreting neurophysiological data. Although, the relationship between functional and structural connectivity has been explored with a number of statistical tools [1, 2], there is no explicit attempt to quantitatively measure how well functional data can be predicted from structural data. Here, we predict functional connectivity from structural connectivity, explicitly, by utilizing a predictive model based on PCA and CCA. The combination of these techniques allowed the reduction of dimensionality and modeling of intercorrelations, successfully. We provide both qualitative and quantitative results based on a leave-one-out validation.

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KW - Functional connectivity

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KW - Tractography

KW - fMRI

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Deligianni F, Robinson EC, Beckmann CF, Sharp D, Edwards AD, Rueckert D. Inference of functional connectivity from structural brain connectivity. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 1113-1116. 5490188. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). doi: 10.1109/ISBI.2010.5490188

Inference of functional connectivity from structural brain connectivity

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Keywords

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