Fahimeh Arab

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.

This paper introduces CaLLTiF, a causal discovery method for fMRI that improves accuracy and scalability, showing consistent causal patterns in human resting-state data.

This study investigates whole-brain causal connectivity during decoded neurofeedback and identifies network dynamics associated with performance differences.