Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies

Xi Cheng; Jakob Wilm; Sharmishtaa Seshamani; Mads Fogtmann; Christopher Kroenke; Colin Studholme

doi:10.1109/EMBC.2013.6609440

Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies

Xi Cheng, Jakob Wilm, Sharmishtaa Seshamani, Mads Fogtmann, Christopher Kroenke, Colin Studholme

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

Abstract

A crucial step in studying brain connectivity is the definition of the Regions Of Interest (ROI's) which are considered as nodes of a network graph. These ROI's identified in structural imaging reflect consistent functional regions in the anatomies being compared. However in serial studies of the developing fetal brain such functional and associated structural markers are not consistently present over time. In this study we adapt two non-atlas based parcellation schemes to study the development of connectivity networks of a fetal monkey brain using Diffusion Weighted Imaging techniques. Results demonstrate that the fetal brain network exhibits small-world characteristics and a pattern of increased cluster coefficients and decreased global efficiency. These findings may provide a route to creating a new biomarker for healthy fetal brain development.

Original language	English
Title of host publication	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	IEEE
Publication date	2013
Pages	73-76
ISBN (Print)	978-1-4577-0216-7
DOIs	https://doi.org/10.1109/EMBC.2013.6609440
Publication status	Published - 2013
Event	35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013 http://embc2013.embs.org/

Conference

Conference	35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Country	Japan
City	Osaka
Period	03/07/2013 → 07/07/2013
Internet address	http://embc2013.embs.org/

Series	I E E E Engineering in Medicine and Biology Society. Conference Proceedings
ISSN	2375-7477

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Cheng, X., Wilm, J., Seshamani, S., Fogtmann, M., Kroenke, C., & Studholme, C. (2013). Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 73-76). IEEE. I E E E Engineering in Medicine and Biology Society. Conference Proceedings https://doi.org/10.1109/EMBC.2013.6609440

Cheng, Xi ; Wilm, Jakob ; Seshamani, Sharmishtaa ; Fogtmann, Mads ; Kroenke, Christopher ; Studholme, Colin. / Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. pp. 73-76 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

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abstract = "A crucial step in studying brain connectivity is the definition of the Regions Of Interest (ROI's) which are considered as nodes of a network graph. These ROI's identified in structural imaging reflect consistent functional regions in the anatomies being compared. However in serial studies of the developing fetal brain such functional and associated structural markers are not consistently present over time. In this study we adapt two non-atlas based parcellation schemes to study the development of connectivity networks of a fetal monkey brain using Diffusion Weighted Imaging techniques. Results demonstrate that the fetal brain network exhibits small-world characteristics and a pattern of increased cluster coefficients and decreased global efficiency. These findings may provide a route to creating a new biomarker for healthy fetal brain development.",

author = "Xi Cheng and Jakob Wilm and Sharmishtaa Seshamani and Mads Fogtmann and Christopher Kroenke and Colin Studholme",

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Cheng, X, Wilm, J, Seshamani, S, Fogtmann, M, Kroenke, C & Studholme, C 2013, Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, pp. 73-76, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 03/07/2013. https://doi.org/10.1109/EMBC.2013.6609440

Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies. / Cheng, Xi; Wilm, Jakob; Seshamani, Sharmishtaa; Fogtmann, Mads; Kroenke, Christopher; Studholme, Colin.

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. p. 73-76 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

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

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T1 - Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies

AU - Cheng, Xi

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AU - Kroenke, Christopher

AU - Studholme, Colin

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N2 - A crucial step in studying brain connectivity is the definition of the Regions Of Interest (ROI's) which are considered as nodes of a network graph. These ROI's identified in structural imaging reflect consistent functional regions in the anatomies being compared. However in serial studies of the developing fetal brain such functional and associated structural markers are not consistently present over time. In this study we adapt two non-atlas based parcellation schemes to study the development of connectivity networks of a fetal monkey brain using Diffusion Weighted Imaging techniques. Results demonstrate that the fetal brain network exhibits small-world characteristics and a pattern of increased cluster coefficients and decreased global efficiency. These findings may provide a route to creating a new biomarker for healthy fetal brain development.

AB - A crucial step in studying brain connectivity is the definition of the Regions Of Interest (ROI's) which are considered as nodes of a network graph. These ROI's identified in structural imaging reflect consistent functional regions in the anatomies being compared. However in serial studies of the developing fetal brain such functional and associated structural markers are not consistently present over time. In this study we adapt two non-atlas based parcellation schemes to study the development of connectivity networks of a fetal monkey brain using Diffusion Weighted Imaging techniques. Results demonstrate that the fetal brain network exhibits small-world characteristics and a pattern of increased cluster coefficients and decreased global efficiency. These findings may provide a route to creating a new biomarker for healthy fetal brain development.

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DO - 10.1109/EMBC.2013.6609440

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BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

T2 - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Cheng X, Wilm J, Seshamani S, Fogtmann M, Kroenke C, Studholme C. Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. 2013. p. 73-76. (I E E E Engineering in Medicine and Biology Society. Conference Proceedings). https://doi.org/10.1109/EMBC.2013.6609440