Format

Send to

Choose Destination
Neuroimage. 2013 Oct 15;80:489-504. doi: 10.1016/j.neuroimage.2013.05.054. Epub 2013 May 25.

Networks of anatomical covariance.

Author information

1
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada. alan.evans@mcgill.ca

Abstract

Functional imaging or diffusion-weighted imaging techniques are widely used to understand brain connectivity at the systems level and its relation to normal neurodevelopment, cognition or brain disorders. It is also possible to extract information about brain connectivity from the covariance of morphological metrics derived from anatomical MRI. These covariance patterns may arise from genetic influences on normal development and aging, from mutual trophic reinforcement as well as from experience-related plasticity. This review describes the basic methodological strategies, the biological basis of the observed covariance as well as applications in normal brain and brain disease before a final review of future prospects for the technique.

KEYWORDS:

Connectivity; Cortical thickness; Structural covariance

[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center