Seyedeh-Rezvan Farahibozorg
Seyedeh-Rezvan Farahibozorg
WIN (FMRIB), Oxford University
Verified email at - Homepage
Cited by
Cited by
Detecting large‐scale networks in the human brain using high‐density electroencephalography
Q Liu, S Farahibozorg, C Porcaro, N Wenderoth, D Mantini
Human brain mapping 38 (9), 4631-4643, 2017
Adaptive Cortical Parcellations for Source Reconstructed EEG/MEG Connectomes
SR Farahibozorg, RN Henson, O Hauk
NeuroImage 169, 23-45, 2018
Age-and sex-related variations in the brain white matter fractal dimension throughout adulthood: an MRI study
S Farahibozorg, SM Hashemi-Golpayegani, J Ashburner
Clinical neuroradiology 25 (1), 19-32, 2015
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants
SP Fitzgibbon, SJ Harrison, M Jenkinson, L Baxter, EC Robinson, ...
NeuroImage 223, 117303, 2020
Modelling subject variability in the spatial and temporal characteristics of functional modes
SJ Harrison, JD Bijsterbosch, AR Segerdahl, SP Fitzgibbon, ...
NeuroImage 222, 117226, 2020
Distinct roles for the Anterior Temporal Lobe and Angular Gyrus in the spatio-temporal cortical semantic network
SR Farahibozorg, RN Henson, AM Woollams, O Hauk
bioRxiv, 544114, 2019
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data
SR Farahibozorg, JD Bijsterbosch, W Gong, S Jbabdi, SM Smith, ...
bioRxiv, 2021
Uncovering Dynamic Semantic Networks in the Brain Using Novel Approaches for EEG/MEG Connectome Reconstruction
S Farahibozorg
University of Cambridge, 2018
Decoding Semantic Word Categories from Electro-and Magnetoencephalography data
S Spasov, O Hauk, SR Farahibozorg
Proceedings of CIBB, 1, 2018
Gradients of cortical hierarchy in Autism
R Bethlehem, M Falkiewicz, J Freyberg, O Parsons, SR Farahibozorg, ...
Research Ideas and Outcomes 3, e13391, 2017
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