Exploring the brain structure-function relationship via simulated data using constant-block PLSC

Xiaoyu Zhao; Xiangmin Ji; Chenhong Yang; Yuan Yang

doi:10.1117/12.3011366

8 November 2023 Exploring the brain structure-function relationship via simulated data using constant-block PLSC

Xiaoyu Zhao, Xiangmin Ji, Chenhong Yang, Yuan Yang

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129231T (2023) https://doi.org/10.1117/12.3011366
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

Exploring the cerebral structure-function correlation advances our understanding of the brain's underlying principles. The brain structure is static, while brain function is dynamically changing; thus the relationship has the unmatched issue of the temporal and spatial dimensions. It makes the structure-function relationship a challenging task. Partial least squares correlation (PLSC) is applicable to examining the structure-function association. Most of the studies explored how structural traits were linked to functional ones. However, if the relationship is explored at a voxel-wise level, perhaps more interesting results will be found. Actually, the ordinary PLSC cannot effectively handle the unmatched temporal dimension issue at the voxel-wise level, failing to establish suitable linear models. We propose a novel variety of PLSC, termed constant-block PLSC, to handle this issue. The performance of our method is compared with the ordinary PLSC by applying it to simulated structural magnetic resonance imaging (sMRI) along with resting-state functional MRI (fMRI) information. As indicated by the results, the superiority of our approach to the common PLSC is that it extracts proper quantity of significant and realer spatial patterns, enhancing the cross-block covariance to 36.02%from 0%. Our constant-block PLSC technique is promising for assessing the relationship between cerebral architecture and functionality

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyu Zhao, Xiangmin Ji, Chenhong Yang, and Yuan Yang "Exploring the brain structure-function relationship via simulated data using constant-block PLSC", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129231T (8 November 2023); https://doi.org/10.1117/12.3011366

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Brain

Matrices

Functional magnetic resonance imaging

Voxels

Brain mapping

Covariance

Covariance matrices

Show All Keywords

Keywords/Phrases

Search In:

Publication Years