Intrinsic functional connectivity pattern-based brain parcellation using normalized cut

Hewei Cheng; Dandan Song; Hong Wu; Yong Fan

doi:10.1117/12.911341

24 February 2012 Intrinsic functional connectivity pattern-based brain parcellation using normalized cut

Hewei Cheng, Dandan Song, Hong Wu, Yong Fan

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83144F (2012) https://doi.org/10.1117/12.911341
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

In imaging data based brain network analysis, a necessary precursor for constructing meaningful brain networks is to identify functionally homogeneous regions of interest (ROIs) for defining network nodes. For parcellating the brain based on resting state fMRI data, normalized cut is one widely used clustering algorithm which groups voxels according to the similarity of functional signals. Due to low signal to noise ratio (SNR) of resting state fMRI signals, spatial constraint is often applied to functional similarity measures to generate smooth parcellation. However, improper spatial constraint might alter the intrinsic functional connectivity pattern, thus yielding biased parcellation results. To achieve reliable and least biased parcellation of the brain, we propose an optimization method for the spatial constraint to functional similarity measures in normalized cut based brain parcellation. Particularly, we first identify the space of all possible spatial constraints that are able to generate smooth parcellation, then find the spatial constraint that leads to the brain parcellation least biased from the intrinsic function pattern based parcellation, measured by the minimal Ncut value calculated based on the functional similarity measure of original functional signals. The proposed method has been applied to the parcellation of medial superior frontal cortex for 20 subjects based on their resting state fMRI data. The experiment results indicate that our method can generate meaningful parcellation results, consistent with existing functional anatomy knowledge.

Citation Download Citation

Hewei Cheng, Dandan Song, Hong Wu, and Yong Fan "Intrinsic functional connectivity pattern-based brain parcellation using normalized cut", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83144F (24 February 2012); https://doi.org/10.1117/12.911341

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available