Prejaas Tewarie

Orcid: 0000-0002-3311-4990

According to our database1, Prejaas Tewarie authored at least 23 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data.
NeuroImage, August, 2023

Abnormal meta-state activation of dynamic brain networks across the Alzheimer spectrum.
NeuroImage, 2021

Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches.
NeuroImage, 2020

On the Validity of Neural Mass Models.
Frontiers Comput. Neurosci., 2020

Tracking dynamic brain networks using high temporal resolution MEG measures of functional connectivity.
NeuroImage, 2019

How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes.
NeuroImage, 2019

Dynamics of large-scale electrophysiological networks: A technical review.
NeuroImage, 2018

Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations.
NeuroImage, 2018

Measurement of dynamic task related functional networks using MEG.
NeuroImage, 2017

The epidemic spreading model and the direction of information flow in brain networks.
NeuroImage, 2017

Optimising experimental design for MEG resting state functional connectivity measurement.
NeuroImage, 2017

Brain network clustering with information flow motifs.
Appl. Netw. Sci., 2017

Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach.
NeuroImage, 2016

Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions.
NeuroImage, 2016

How reliable are MEG resting-state connectivity metrics?
NeuroImage, 2016

A multi-layer network approach to MEG connectivity analysis.
NeuroImage, 2016

A Mapping Between Structural and Functional Brain Networks.
Brain Connect., 2016

Motif-Based Analysis of Effective Connectivity in Brain Networks.
Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

The minimum spanning tree: An unbiased method for brain network analysis.
NeuroImage, 2015

The Union of Shortest Path Trees of Functional Brain Networks.
Brain Connect., 2015

Functional brain network analysis using minimum spanning trees in Multiple Sclerosis: An MEG source-space study.
NeuroImage, 2014

Structural degree predicts functional network connectivity: A multimodal resting-state fMRI and MEG study.
NeuroImage, 2014

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014