Isaac Sebenius

The paper provides methodological guidance for using MIND, a structural MRI similarity metric, and demonstrates how input properties affect its accuracy using simulated and observational data.

The paper investigates genetic effects on cortical similarity networks using MRI data and finds two genetically determined gradients linked to brain evolution and neuropsychiatric risks.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

The paper introduces MIND, a method to estimate structural similarity networks from brain MRI, showing improved consistency with known biology and genetic heritability.