Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes. - Seyedeh-Rezvan Farahibozorg; Richard N. Henson; Olaf Hauk (NeuroImage, 2018)

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. - Sean P. Fitzgibbon; Samuel J. Harrison; Mark Jenkinson; Luke Baxter; Emma C. Robinson; Matteo Bastiani; Jelena Bozek; Vyacheslav Karolis; Lucilio Cordero-Grande; Anthony N. Price; Emer J. Hughes; Antonios Makropoulos; et al. (NeuroImage, 2020)

Modelling subject variability in the spatial and temporal characteristics of functional modes. - Samuel J. Harrison; Janine D. Bijsterbosch; Andrew R. Segerdahl; Sean P. Fitzgibbon; Seyedeh-Rezvan Farahibozorg; Eugene P. Duff; Stephen M. Smith 001; Mark W. Woolrich (NeuroImage, 2020)

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. - Seyedeh-Rezvan Farahibozorg; Janine D. Bijsterbosch; Weikang Gong; Saâd Jbabdi; Stephen M. Smith 001; Samuel J. Harrison; Mark W. Woolrich (NeuroImage, 2021)

Task modulation of spatiotemporal dynamics in semantic brain networks: An EEG/MEG study. - Setareh Rahimi; Seyedeh-Rezvan Farahibozorg; Rebecca L. Jackson; Olaf Hauk (NeuroImage, 2022)

Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner. - Ying-Qiu Zheng; Seyedeh-Rezvan Farahibozorg; Weikang Gong; Hossein Rafipoor; Saâd Jbabdi; Stephen M. Smith 001 (NeuroImage, 2022)

Time-Lagged Multidimensional Pattern Connectivity (TL-MDPC): An EEG/MEG pattern transformation based functional connectivity metric. - Setareh Rahimi; Rebecca L. Jackson; Seyedeh-Rezvan Farahibozorg; Olaf Hauk (NeuroImage, 2023)

Comparison between gradients and parcellations for functional connectivity prediction of behavior. - Ru Kong; Yanrui Tan; Naren Wulan; Leon Qi Rong Ooi; Seyedeh-Rezvan Farahibozorg; Samuel J. Harrison; Janine D. Bijsterbosch; Boris C. Bernhardt; Simon B. Eickhoff; B. T. Thomas Yeo (NeuroImage, 2023)