Arjun G. Yodh

Jonah A. Padawer-Curry, Jharna Jahnavi, Jake S. Breimann, Daniel J. Licht, Arjun G. Yodh, Akiva S. Cohen, and Brian R. White

To compare neuroimaging data between subjects, images from individual sessions need to be aligned to a common reference or “atlas.” Atlas registration of optical intrinsic signal imaging of mice, for example, is commonly performed using affine transforms with parameters determined by manual selection of canonical skull landmarks. Errors introduced by such procedures have not previously been investigated. We quantify the variability that arises from this process and consequent errors from misalignment that affect interpretation of functional neuroimaging data. We propose an improved method, using separately acquired high-resolution images and demonstrate improvements in variability and alignment using this method.