Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages73-76
Number of pages4
DOIs
StatePublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: Jul 3 2013Jul 7 2013

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
CountryJapan
CityOsaka
Period7/3/137/7/13

Fingerprint

Brain
Imaging techniques
Small-world networks
Biomarkers
Fetal Development
Haplorhini
Anatomy

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Cheng, X., Wilm, J., Seshamani, S., Fogtmann, M., Kroenke, C. C., & Studholme, C. (2013). Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 73-76). [6609440] 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 (Chris); Studholme, Colin.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 73-76 6609440.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cheng, X, Wilm, J, Seshamani, S, Fogtmann, M, Kroenke, CC & Studholme, C 2013, Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6609440, pp. 73-76, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 7/3/13. https://doi.org/10.1109/EMBC.2013.6609440
Cheng X, Wilm J, Seshamani S, Fogtmann M, Kroenke CC, Studholme C. Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 73-76. 6609440 https://doi.org/10.1109/EMBC.2013.6609440
Cheng, Xi ; Wilm, Jakob ; Seshamani, Sharmishtaa ; Fogtmann, Mads ; Kroenke, Christopher (Chris) ; Studholme, Colin. / Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. pp. 73-76
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