Stephen Smith

Mark Woolrich

Sam Harrison

I am a postdoctoral researcher in FMRIB Analysis Group, working on population and individual-level modelling of brain connectivity based on functional Magnetic Resonance Imaging (fMRI), and its application for prediction of non-imaging phenotypes. To that end, I am working as the developer of Probabilistic Functional Modes (PROFUMO) project. Recently, we developed stochastic PROFUMO (sPROFUMO), that is designed to simultaneously and hierarchically 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 in 2018, I did my PhD in Brain Imaging Methods for Neuroscience at MRC CBU, 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.

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data
Farahibozorg SR et al., (2021) NeuroImage 243

Adaptive Cortical Parcellations for Source Reconstructed EEG/MEG Connectomes
_{Farahibozorg SR et al., (2018) NeuroImage 169}

Distinct roles for the Anterior Temporal Lobe and Angular Gyrus in the spatio-temporal cortical semantic network
_{Farahibozorg SR et al., (2021) Accepted for publication}

Age-and sex-related variations in the brain white matter fractal dimension throughout adulthood: an MRI study
_{Farahibozorg SR et al., (2015) Clinical Neuroradiology}