- Brain connectivity modelling
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 developer of PROFUMO project, that is focused on hierarchical variational Bayesian modelling of resting state networks based on large-scale brain imaging datasets such as Human Connectome Project and UK Biobank.
Before joining FMRIB, I did my PhD in Cognitive Neuroscience- Methods 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) BioRxiv
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., (2019) BioRxiv
Age-and sex-related variations in the brain white matter fractal dimension throughout adulthood: an MRI study
Farahibozorg SR et al., (2015) Clinical Neuroradiology
Modelling subject variability in the spatial and temporal characteristics of functional modes.
Harrison SJ. et al, (2020), Neuroimage, 222