Extended multimodal whole-brain anatomical covariance analysis: detection of disrupted correlation networks related to amyloid deposition.

ABSTRACT:

Background

An anatomical covariance analysis (ACA) enables to elucidate inter-regional connections on a group basis, but little is known about the connections among white matter structures or among gray and white matter structures. Effect of including multiple magnetic resonance imaging (MRI) modalities into ACA framework in detecting white-to-white or gray-to-white connections is yet to be investigated.

New method

Proposed extended anatomical covariance analysis (eACA), analyzes correlations among gray and white matter structures (multi-structural) in various types of imaging modalities (T1-weighted images, T2 maps obtained from dual-echo sequences, and diffusion tensor images (DTI)). To demonstrate the capability to detect a disruption of the correlation network affected b

SUBMITTER: Ye C 

PROVIDER: S-EPMC6656959 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature