Fusing functional signals by sparse canonical correlation analysis improves network reproducibility

Default Mode Network

We contribute a novel multivariate strategy for computing the structure of functional networks in the brain from arterial spin labeling (ASL) MRI. Our method fuses and correlates multiple functional signals by employing an interpretable dimensionality reduction method, sparse canonical correlation … Continue reading

Associations between children’s socioeconomic status and prefrontal cortical thickness


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

Relating Cerebral Blood Flow to Structural & Functional Metrics in Typically Developing Children


Purpose: To evaluate the relationships between cerebral blood flow and other magnetic resonance (MR) imaging based measures such as fractional anisotropy, magnetic transfer ratio, cortical thickness and mean resting state BOLD signal in typically developing children. Methods: Eighty-eight children aged 7-17 … Continue reading