Linking structural neuroimaging data from multiple modalities to cognitive performance is an important challenge for cognitive neuroscience. In this study we examined the relationship between verbal fluency performance and neuroanatomy in 54 patients with frontotemporal degeneration (FTD) and 15 age-matched … 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
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
Childhood socioeconomic status (SES) predicts executive function performance and measures of prefrontal cortical function, but little is known about its anatomical correlates. Structural MRI and demographic data from a sample of 283 healthy children from the NIH MRI Study of … Continue reading