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2025

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6389
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654
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Neuroscience

D-Index
43
Citations
7134
World Ranking
7407
National Ranking
206

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Prejaas Tewarie is affiliated with the University of Nottingham in the United Kingdom. Their research predominantly spans the fields of Neuroscience and Medicine, with notable contributions to various subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Epidemiology, Neurology, and Emergency Medicine.

The scientist's work investigates multiple topics related to brain function and neuroimaging. Key topics include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Advanced Neuroimaging Techniques and Applications
  • Traumatic Brain Injury Research
  • Advanced MRI Techniques and Applications
  • Cardiac Arrest and Resuscitation

Prejaas Tewarie has published extensively in respected scientific venues. Frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • NeuroImage Clinical
  • Network Neuroscience
  • Scientific Reports

Several recent papers exemplify their research focus and output. These include:

  • "Disruption in structural-functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness," 2022, eLife
  • "Abnormal meta-state activation of dynamic brain networks across the Alzheimer spectrum," 2021, NeuroImage
  • "Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches," 2020, NeuroImage
  • "Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity," 2022, Network Neuroscience
  • "Clinical and neurophysiological effects of central thalamic deep brain stimulation in the minimally conscious state after severe brain injury," 2022, Scientific Reports

The scientist has collaborated frequently with other researchers. Notable coauthors include:

  • Arjan Hillebrand
  • Cornelis J. Stam
  • Steven Laureys
  • Menno M. Schoonheim
  • Gustavo Deco

Best Publications

  • The OSCAR-IB consensus criteria for retinal OCT quality assessment.

    Prejaas Tewarie;Lisanne Balk;Fiona Costello;Ari Green

  • How reliable are MEG resting-state connectivity metrics?

    Giles L. Colclough;Mark W. Woolrich;Prejaas Tewarie;Matthew J. Brookes

  • Direction of information flow in large-scale resting-state networks is frequency-dependent

    Arjan Hillebrand;Prejaas Tewarie;Edwin van Dellen;Meichen Yu

  • The trees and the forest: Characterization of complex brain networks with minimum spanning trees.

    C.J. Stam;P. Tewarie;E. Van Dellen;E.C.W. van Straaten

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

    P. Tewarie;E. van Dellen;E. van Dellen;A. Hillebrand;C.J. Stam

  • Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant

    Martijn D. Steenwijk;Jeroen J. G. Geurts;Marita Daams;Betty M. Tijms

  • Dynamics of large-scale electrophysiological networks: a technical review

    George C. O'Neill;Prejaas K. Tewarie;Diego Vidaurre;Lucrezia Liuzzi

  • A multi-layer network approach to MEG connectivity analysis.

    Matthew J. Brookes;Prejaas K. Tewarie;Benjamin A.E. Hunt;Sian E. Robson

  • The relation between structural and functional connectivity patterns in complex brain networks

    C J Stam;E C W van Straaten;E Van Dellen;P Tewarie

  • A mapping between structural and functional brain networks.

    Meier J;Tewarie P;Hillebrand A;Douw L

  • Bidirectional trans-synaptic axonal degeneration in the visual pathway in multiple sclerosis

    L.J. Balk;M.D. Steenwijk;P. Tewarie;M. Daams

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

    P. Tewarie;A. Hillebrand;M.M. Schoonheim;B.W. van Dijk

  • Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods.

    George C. O'Neill;Eleanor L. Barratt;Benjamin A. E. Hunt;Prejaas K. Tewarie

  • Timing of retinal neuronal and axonal loss in MS: a longitudinal OCT study

    Lisanne J. Balk;Andrés Cruz-Herranz;Philipp Albrecht;Sam Arnow

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

    P. Tewarie;A. Hillebrand;E. van Dellen;M.M. Schoonheim

  • A dam for retrograde axonal degeneration in multiple sclerosis

    L.J. Balk;J.W.R. Twisk;M.D. Steenwijk;M. Daams

  • 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

  • Measurement of dynamic task related functional networks using MEG

    George C. O’Neill;Prejaas K. Tewarie;Giles L. Colclough;Lauren E. Gascoyne

  • Relationships between cortical myeloarchitecture and electrophysiological networks

    Benjamin A. E. Hunt;Prejaas K. Tewarie;Olivier E. Mougin;Nicolas Geades

  • Functional brain networks: linking thalamic atrophy to clinical disability in multiple sclerosis, a multimodal fMRI and MEG study.

    Prejaas Tewarie;Menno M. Schoonheim;Daphne I. Schouten;Chris H. Polman

Frequent Co-Authors

Arjan Hillebrand
Arjan Hillebrand Vrije Universiteit Amsterdam
Cornelis J. Stam
Cornelis J. Stam Vrije Universiteit Amsterdam
Matthew J. Brookes
Matthew J. Brookes University of Nottingham
Frederik Barkhof
Frederik Barkhof University College London
Menno M. Schoonheim
Menno M. Schoonheim University of Amsterdam
Linda Douw
Linda Douw Vrije Universiteit Amsterdam
Jeroen J. G. Geurts
Jeroen J. G. Geurts Vrije Universiteit Amsterdam
Mark W. Woolrich
Mark W. Woolrich University of Oxford
Hugo Vrenken
Hugo Vrenken Vanderbilt University Medical Center
Mike P. Wattjes
Mike P. Wattjes Hannover Medical School

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