Andrew Reid PhD

In our new preprint, we describe a novel methodology for (1) identifying the most probable "core" tract trajectory for two arbitrary brain regions, and (2) estimating tract-specific anisotropy (TSA) at all points along this trajectory. We describe the outcomes of regressing this TSA metric against participants' age and sex. Our hope is that this new method can serve as a complement to the popular TBSS approach, where researchers desire to investigate effects specific to a pre-established set of ROIs.

How do we know when to learn, and when not to? Recently I presented my work to Vancouver-based Mobify, including the use of a driving simulation task to answer this question. They put it up on YouTube, so I thought I'd share.

Our article proposing a threshold-free method for comparing seed-based connectivity estimates was recently accepted to Brain Structure & Function. We compared two structural covariance approaches (cortical thickness and voxel-based morphometry), and two functional ones (resting-state functional MRI and meta-analytic connectivity mapping, or MACM).

Announcing four new submissions to the ANIMA database, which brings us to 30 studies and counting. Check them out if you get the time!

Announcing a new submission to the ANIMA database: Hu et al., Neuroscience & Biobehavioral Reviews, 2015.