A whole brain atlas with sub-parcellation of cortical gyri using resting fMRI

Anand A. Joshi; Soyoung Choi; Gaurav Sonkar; Minqi Chong; Jorge Gonzalez-Martinez; Dileep Nair; David W. Shattuck; Hanna Damasio; Richard M. Leahy

doi:10.1117/12.2254681

2 March 2017 A whole brain atlas with sub-parcellation of cortical gyri using resting fMRI

Anand A. Joshi, Soyoung Choi, Gaurav Sonkar, Minqi Chong, Jorge Gonzalez-Martinez, Dileep Nair, David W. Shattuck, Hanna Damasio, Richard M. Leahy

Author Affiliations +

Proceedings Volume 10133, Medical Imaging 2017: Image Processing; 101330O (2017) https://doi.org/10.1117/12.2254681
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

The new hybrid-BCI-DNI atlas is a high-resolution MPRAGE, single-subject atlas, constructed using both anatomical and functional information to guide the parcellation of the cerebral cortex. Anatomical labeling was performed manually on coronal single-slice images guided by sulcal and gyral landmarks to generate the original (non-hybrid) BCI-DNI atlas. Functional sub-parcellations of the gyral ROIs were then generated from 40 minimally preprocessed resting fMRI datasets from the HCP database. Gyral ROIs were transferred from the BCI-DNI atlas to the 40 subjects using the HCP grayordinate space as a reference. For each subject, each gyral ROI was subdivided using the fMRI data by applying spectral clustering to a similarity matrix computed from the fMRI time-series correlations between each vertex pair. The sub-parcellations were then transferred back to the original cortical mesh to create the subparcellated hBCI-DNI atlas with a total of 67 cortical regions per hemisphere. To assess the stability of the gyral subdivisons, a separate set of 60 HCP datasets were processed as follows: 1) coregistration of the structural scans to the hBCI-DNI atlas; 2) coregistration of the anatomical BCI-DNI atlas without functional subdivisions, followed by sub-parcellation of each subject’s resting fMRI data as described above. We then computed consistency between the anatomically-driven delineation of each gyral subdivision and that obtained per subject using individual fMRI data. The gyral sub-parcellations generated by atlas-based registration show variable but generally good overlap of the confidence intervals with the resting fMRI-based subdivisions. These consistency measures will provide a quantitative measure of reliability of each subdivision to users of the atlas.

Conference Presentation

Citation Download Citation

Anand A. Joshi, Soyoung Choi, Gaurav Sonkar, Minqi Chong, Jorge Gonzalez-Martinez, Dileep Nair, David W. Shattuck, Hanna Damasio, and Richard M. Leahy "A whole brain atlas with sub-parcellation of cortical gyri using resting fMRI", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330O (2 March 2017); https://doi.org/10.1117/12.2254681

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