Back to Search Start Over

Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects.

Authors :
Zhang, Tuo
Chen, Hanbo
Razavi, Mir Jalil
Li, Yujie
Ge, Fangfei
Guo, Lei
Wang, Xianqiao
Liu, Tianming
Source :
Human Brain Mapping. Oct2018, Vol. 39 Issue 10, p4134-4149. 16p.
Publication Year :
2018

Abstract

Abstract: Comparison and integration of neuroimaging data from different brains and populations are fundamental in neuroscience. Over the past decades, the neuroimaging field has largely depended on image registration to compare and integrate neuroimaging data from individuals in a common reference space, with a basic assumption that the brains are similar. However, the intrinsic neuroanatomical complexity and huge interindividual cortical folding variation remain underexplored. Here we focus on a specific cortical convolution pattern, termed 3‐hinge gyral folding, which is the conjunction of gyri from multiple orientations and has unique and consistent anatomically, structurally, and functionally connective patterns across subjects. By developing a novel shape descriptor and a two‐stage clustering pipeline, we devise an automatic method to identify 3‐hinges in the Human Connectome Project Q3 868 human brains, and further parameterize the complexity of such a pattern and quantify its regularity and variation in terms of 3‐hinge number, position, and morphology. Our results not only exhibit the huge interindividual variations, but also reveal regular relationship between gyral hinges and other factors, such as their locations and cortical morphologies. It is found that “line‐shape” cortices have relatively more consistent 3‐hinge shape pattern distributions, and certain types of 3‐hinge patterns favor particular cortical morphologies. In addition, more 3‐hinges are found on “line‐shape” cortices while their numbers vary more across subjects than those on “non‐line‐shape” cortices. This study adds new insights into a better understanding of the regularity and variability of human brain anatomy, and their functional aspects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10659471
Volume :
39
Issue :
10
Database :
Academic Search Index
Journal :
Human Brain Mapping
Publication Type :
Academic Journal
Accession number :
131662363
Full Text :
https://doi.org/10.1002/hbm.24237