We are constructing a computational, probabilistic atlas of the human hippocampal formation (HF) from postmortem, high-resolution 9.4T MRI and densely acquired histology. The human HF consists of several structures of the medial temporal lobe that play important roles in the … Continue reading
We have recently updated ANTs to perform processing of perfusion ASL images. The pipeline is designed to be consistent with the antsCorticalThickness pipeline for computing cortical thickness and incorporates state-of-the-art methods for correcting for motion and other confounds. Learn more … Continue reading
The complex and high-dimensional nature of medical images makes them difficult to incorporate into traditional linear model-based statistical analysis. One way of simplifying analysis of medical images is to use a dimensionality reduction technique. We designed a dimensionality reduction technique … Continue reading
Our paper on sparse regression for predicting cognitive performance from cortical thickness was published at Information Processing in Medical Imaging (IPMI) 2013. We developed a method for performing regression on brain images in a way that respects the natural structure … Continue reading
Our paper looking at dissociable functional networks of anterior and posterior MTL regions in older healthy controls and MCI patients just got accepted for publication in Neurobiology of Aging. We labeled MTL subregions in high-resolution T2-MRI using our automated MTL subregion … Continue reading
We just found out that our R03 grant application for high-resolution BOLD fMRI at 7T has been recommended for funding. We have been anxiously waiting for the funding decision which was delayed by the government shutdown last year. Better late than … Continue reading
There is a ton of work looking at BOLD functional connectivity (FC) in Alzheimer’s Disease, and one consensus that has emerged is that this is a disconnection syndrome, with most studies finding weaker connectivity within the default mode network (DMN), … Continue reading
Objective: Visualizing implanted subdural electrodes in 3D space can greatly aid planning, executing, and validating resection in epilepsy surgery. Co-registration software is available, but cost, complexity, insufficient accuracy or validation limit adoption. We present a fully automated open-source application, based … Continue reading
In the absence of a neonatal template with cortical subregion labels, it can be extremely difficult to obtain cortical parcellation of new neonatal brain images automatically. We address this problem by utilizing adult templates with rich cortical annotation and … Continue reading
This research seeks to understand the relations among socioeconomic status (SES), early life experience, and learning in adolescents. Previous research has shown that learning ability is positively correlated with SES, and preliminary studies suggest that the effects of childhood experience … Continue reading