Mohammad Torabi

Denoising the central autonomic network: characterizing processes jointly associated with arousal and non-neuronal physiological artefacts in dynamic fMRI analyses

This study investigates how denoising systemic low frequency oscillations affects dynamic signatures of central autonomic regulation and their relation to physiological states using multimodal data.

Nipoppy: A framework for standardizing neuroimaging studies to facilitate international derived-data sharing

Nipoppy standardizes neuroimaging data workflows to enable reproducible and comparable multi-center data sharing.

When Can Brain Connectivity Track the Working Mind? A Large-Scale Benchmark of Dynamic Functional Connectivity Across Cognitive Paradigms

This study benchmarks seven dynamic functional connectivity methods across 16 fMRI datasets to assess their reliability in tracking cognitive engagement during various tasks.

Deep Learning for Cognitive Task Presence Prediction from Dynamic Functional Connectivity

This study evaluates how deep learning models and dynamic functional connectivity estimation methods affect task presence prediction from fMRI data.

Mining the neuroimaging literature

The paper provides tools for collecting, processing, and annotating biomedical literature to streamline text-mining and meta-science projects.

Meta all the way down: An overview of neuroimaging meta-analyses

This paper reviews neuroimaging meta-analyses, finding that most follow PRISMA guidelines but have issues with pre-registration, search strategies, and study numbers.

On the variability of dynamic functional connectivity assessment methods

This study evaluates the variability of dynamic functional connectivity methods using fMRI data, showing significant differences between methods and emphasizing the need for multi-analysis approaches.