Month: October 2019

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks

In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was trained and evaluated on a large dataset (n = 11,480), obtained by combining data from more than a hundred different sites, and also evaluated on another completely held-out […]

Published on October 17, 2019

Age-Related Reductions in Cerebrovascular Reactivity Using 4D Flow MRI

Cerebrovascular reactivity (CVR), is important for determining future risk of cerebrovascular disease. It is unclear if primary aging is associated with reductions in CVR because previous studies often include participants with vascular risk factors. Additionally, the inconsistency in the literature may be due to the inherent difficulty in quantifying intracranial cerebral blood flow and CVR. […]

Published on October 17, 2019

A Dual Model of Leadership and Hierarchy: Evolutionary Synthesis

From the popularity of authoritarian political leaders to the under-representation of women in boardrooms, leadership is an important theme in current human social affairs. Leadership is also a prominent research topic in the biological, social, and cognitive sciences. However, these active literatures have evolved somewhat independently and there is a need for synthesis. A comparative-evolutionary approach […]

Published on October 17, 2019