Identification of cortical landmarks based on structural connectivity to subcortical regions
by Degang Zhang; Lei Guo; Xintao Hu; Kaiming Li; Dajiang Zhu; Xi Jiang; Hanbo Chen; Fan Deng; Qun Zhao; Tianming Liu
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 4, No. 4, 2011

Abstract: Quantitative assessment of structural connectivities between cortical and subcortical regions has been of increasing interest in recent years. This paper proposes an algorithmic pipeline for identification of reliable cortical landmarks based on the consistent structural connectivity patterns between cortical and subcortical regions. Our experimental results of eight healthy subjects show that reliable and meaningful cortical landmarks can be extracted by using our approaches. Furthermore, subcortical regions can serve as reliable reference points for the identification of consistent corresponding cortical regions across individuals.

Online publication date: Sat, 24-Jan-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Biology and Drug Design (IJCBDD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com