Benjamin Snow Sipes

The paper uses gene gradients to infer directed structural connectivity across species and applies it to human data to reveal source-sink network organization.

This paper reframes Global Signal Removal (GSR) as graph spatial filtering, introducing variants with different effects on network connectivity.

MAMBAxBrain is a neural framework that models brain functional dynamics across multiple tasks, achieving high accuracy in brain fingerprinting, cognitive decoding, reaction time prediction, and schizophrenia classification.

The paper introduces HONeD-in, a method to deconvolve passive diffusion effects from functional MRI signals, revealing active brain activity patterns.

The paper introduces a framework to unify integration and segregation in the brain using structural connectivity harmonics and the gap-spectrum, organizing them into three regimes with distinct properties.

This paper introduces a biophysical, connectivity-based generative model for rs-fMRI that integrates spectral and structural information to quantify structure-function relationships.