Prejaas Tewarie

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data.

Prejaas Tewarie, Rikkert Hindriks, Yi Ming Lai, Stamatios N. Sotiropoulos, Morten L. Kringelbach, Gustavo Deco

NeuroImage, August, 2023

2021

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

Pablo Núñez, Jesús Poza, Carlos Gómez, Víctor Rodríguez-González, Arjan Hillebrand, Prejaas Tewarie, Miguel Ángel Tola-Arribas, Mónica Cano, Roberto Hornero

NeuroImage, 2021

2020

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

Prejaas Tewarie, Bastian Prasse, Jil Meier, Fernando A. N. Santos, Linda Douw, Menno M. Schoonheim, Cornelis J. Stam, Piet Van Mieghem, Arjan Hillebrand

NeuroImage, 2020

On the Validity of Neural Mass Models.

Nicolás Deschle, Juan Ignacio Gossn, Prejaas Tewarie, Björn Schelter, Andreas Daffertshofer

Frontiers Comput. Neurosci., 2020

2019

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

Prejaas Tewarie, Lucrezia Liuzzi, George C. O'Neill, Andrew J. Quinn, Alessandra Griffa, Mark W. Woolrich, Cornelis J. Stam, Arjan Hillebrand, Matthew J. Brookes

NeuroImage, 2019

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

Prejaas Tewarie, Romesh G. Abeysuriya, Áine Byrne, George C. O'Neill, Stamatios N. Sotiropoulos, Matthew J. Brookes, Stephen Coombes

NeuroImage, 2019

2018

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

George C. O'Neill, Prejaas Tewarie, Diego Vidaurre, Lucrezia Liuzzi, Mark W. Woolrich, Matthew J. Brookes

NeuroImage, 2018

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

Kanad Mandke, Jil Meier, Matthew J. Brookes, Reuben D. O'Dea, Piet Van Mieghem, Cornelis J. Stam, Arjan Hillebrand, Prejaas Tewarie

NeuroImage, 2018

2017

Measurement of dynamic task related functional networks using MEG.

George C. O'Neill, Prejaas Tewarie, Giles L. Colclough, Lauren E. Gascoyne, Benjamin A. E. Hunt, Peter G. Morris, Mark W. Woolrich, Matthew J. Brookes

NeuroImage, 2017

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

Jil Meier, X. Zhou, Arjan Hillebrand, Prejaas Tewarie, Cornelis J. Stam, Piet Van Mieghem

NeuroImage, 2017

Optimising experimental design for MEG resting state functional connectivity measurement.

Lucrezia Liuzzi, Lauren E. Gascoyne, Prejaas Tewarie, Eleanor L. Barratt, Elena Boto, Matthew J. Brookes

NeuroImage, 2017

Brain network clustering with information flow motifs.

Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie, Piet Van Mieghem

Appl. Netw. Sci., 2017

2016

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

Prejaas Tewarie, Arjan Hillebrand, Bob W. van Dijk, Cornelis J. Stam, George C. O'Neill, Piet Van Mieghem, Jil Meier, Mark W. Woolrich, Peter G. Morris, Matthew J. Brookes

NeuroImage, 2016

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

Prejaas Tewarie, Molly G. Bright, Arjan Hillebrand, Siân E. Robson, Lauren E. Gascoyne, Peter G. Morris, Jil Meier, Piet Van Mieghem, Matthew J. Brookes

NeuroImage, 2016

How reliable are MEG resting-state connectivity metrics?

Giles L. Colclough, Mark W. Woolrich, Prejaas Tewarie, Matthew J. Brookes, Andrew J. Quinn, Stephen M. Smith

NeuroImage, 2016

A multi-layer network approach to MEG connectivity analysis.

Matthew J. Brookes, Prejaas Tewarie, Benjamin A. E. Hunt, Siân E. Robson, Lauren E. Gascoyne, Elizabeth B. Liddle, Peter F. Liddle, Peter G. Morris

NeuroImage, 2016

A Mapping Between Structural and Functional Brain Networks.

Jil Meier, Prejaas Tewarie, Arjan Hillebrand, Linda Douw, Bob W. van Dijk, Steven M. Stufflebeam, Piet Van Mieghem

Brain Connect., 2016

Motif-Based Analysis of Effective Connectivity in Brain Networks.

Jil Meier, Marcus Märtens, Arjan Hillebrand, Prejaas Tewarie, Piet Van Mieghem

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

2015

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

Prejaas Tewarie, Edwin van Dellen, Arjan Hillebrand, Cornelis J. Stam

NeuroImage, 2015

The Union of Shortest Path Trees of Functional Brain Networks.

Jil Meier, Prejaas Tewarie, Piet Van Mieghem

Brain Connect., 2015

2014

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

Prejaas Tewarie, Arjan Hillebrand, Menno M. Schoonheim, Bob W. van Dijk, Jeroen J. G. Geurts, Frederik Barkhof, Chris Polman, Cornelis J. Stam

NeuroImage, 2014

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

Prejaas Tewarie, Arjan Hillebrand, Edwin van Dellen, Menno M. Schoonheim, Frederik Barkhof, Chris Polman, Christian Beaulieu, G. Gong, Bob W. van Dijk, Cornelis J. Stam

NeuroImage, 2014

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos.

Peter Kontschieder, Jonas F. Dorn, Cecily Morrison, Robert Corish, Darko Zikic, Abigail Sellen, Marcus D'Souza, Christian P. Kamm, Jessica Burggraaff, Prejaas Tewarie, Thomas Vogel, Michela Azzarito, Ben Glocker, Peter Chin, Frank Dahlke, Chris Polman, Ludwig Kappos, Bernard M. J. Uitdehaag, Antonio Criminisi

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014