Conference paper
Adapting Parcellation Schemes to Study Fetal Brain Connectivity in Serial Imaging Studies
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 73-76 |
| Proceedings: | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| Series: | I E E E Engineering in Medicine and Biology Society. Conference Proceedings |
| ISBN: | 1457702150 , 1457702169 , 9781457702150 and 9781457702167 |
| ISSN: | 23757477 and 1557170x |
| Types: | Conference paper |
| DOI: | 10.1109/EMBC.2013.6609440 |
| ORCIDs: | Wilm, Jakob |
Biomedical measurement Brain Diffusion Weighted Imaging techniques Educational institutions Image reconstruction Magnetic resonance imaging Pediatrics ROI definition anatomy biomedical MRI brain models cluster coefficients fetal brain connectivity fetal monkey brain global efficiency network graph neurophysiology obstetrics parcellation schemes serial imaging small-world characteristics structural imaging
