Senior Postdoctoral Researcher
I am a researcher in FMRIB Analysis Group, working on population and individual-specific modelling of brain connectivity based on fMRI, and its application for prediction of personalised traits. Recently, we developed stochastic PROFUMO (sPROFUMO), designed to simultaneously estimate brain networks for big populations (e.g. UK Biobank with expected 100,000 subjs) and every individual therein. Links to paper and code repository.
Before joining FMRIB, I did my PhD at Cambridge University. My project, funded by Cambridge International Scholarship Scheme, was aimed at investigating the dynamic meaning comprehension networks in the human brain using novel approaches for Electro-/Magnetoencephalography connectivity. Prior to that, I did my undergraduate and master's studies in Biomedical Engineering- Bioelectrics at AmirKabir University of Technology.
If you are interested in doing a DPhil or an MSc/Res project (co)supervised by me, please email me your CV and research interests to discuss possible projects.
Task modulation of spatiotemporal dynamics in semantic brain networks: An EEG/MEG study
Rahimi S. et al, (2022), NeuroImage, 246
Distinct Roles for the Anterior Temporal Lobe and Angular Gyrus in the Spatiotemporal Cortical Semantic Network
Farahibozorg S-R. et al, (2022), Cerebral Cortex
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data.
Farahibozorg S-R. et al, (2021), Neuroimage
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Fitzgibbon SP. et al, (2020), Neuroimage, 223
Modelling subject variability in the spatial and temporal characteristics of functional modes.
Harrison SJ. et al, (2020), Neuroimage, 222