Prejaas Tewarie

ORCID: 0000-0002-3311-4990
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Multiple Sclerosis Research Studies
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Advanced MRI Techniques and Applications
  • Traumatic Brain Injury Research
  • Cerebral Palsy and Movement Disorders
  • Mental Health Research Topics
  • Complex Network Analysis Techniques
  • Systemic Lupus Erythematosus Research
  • Cardiac Arrest and Resuscitation
  • Nonlinear Dynamics and Pattern Formation
  • Atomic and Subatomic Physics Research
  • Retinal Development and Disorders
  • Rheumatoid Arthritis Research and Therapies
  • Neurological disorders and treatments
  • Glaucoma and retinal disorders
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Bioinformatics and Genomic Networks
  • stochastic dynamics and bifurcation
  • Retinal and Optic Conditions
  • Psychedelics and Drug Studies
  • Tryptophan and brain disorders
  • Neural Networks and Applications

University of Twente
2022-2025

University of Nottingham
2016-2025

Université Laval
2024-2025

Amsterdam University Medical Centers
2019-2024

Vrije Universiteit Amsterdam
2015-2024

Universitat Pompeu Fabra
2023-2024

Amsterdam Neuroscience
2015-2024

Medisch Spectrum Twente
2022-2023

Amsterdam UMC Location Vrije Universiteit Amsterdam
2012-2018

Washington University in St. Louis
2016

Background Retinal optical coherence tomography (OCT) is an imaging biomarker for neurodegeneration in multiple sclerosis (MS). In order to become validated as outcome measure multicenter studies, reliable quality control (QC) criteria with high inter-rater agreement are required. Methods/Principal Findings A prospective multicentre study on developing consensus QC retinal OCT MS: (1) a literature review criteria; (2) application of these training set 101 scans from patients MS; (3) kappa...

10.1371/journal.pone.0034823 article EN cc-by PLoS ONE 2012-04-19

MEG offers dynamic and spectral resolution for resting-state connectivity which is unavailable in fMRI. However, there are a wide range of available network estimation methods MEG, little the way existing guidance on ones to employ. In this technical note, we investigate extent many popular measures stationary suitable use localising magnetic sources with scalar beamformer. We as empirical criteria that individual subjects should be repeatable, group-level shows good reproducibility. Using...

10.1016/j.neuroimage.2016.05.070 article EN cc-by NeuroImage 2016-06-02

Significance A description of the structural and functional connections in human brain is necessary for understanding both normal abnormal functioning. Although it has become clear recent years that stable patterns connectivity can be observed during resting state, to date, remains unclear what dominant information flow are this connectome how these relate integration function. Our results first describe large-scale frequency-specific brain, showing different subsystems form a loop through...

10.1073/pnas.1515657113 article EN Proceedings of the National Academy of Sciences 2016-03-21

Grey matter atrophy is common in multiple sclerosis. However, contrast with other neurodegenerative diseases, it unclear whether grey sclerosis a diffuse 'global' process or develops, instead, according to distinct anatomical patterns. Using source-based morphometry we searched for patterns of co-varying cortical thickness and assessed their relationships white pathology, physical disability cognitive functioning. Magnetic resonance imaging was performed at 3 T 208 patients long-standing...

10.1093/brain/awv337 article EN Brain 2015-12-04

Recent years have shown the critical importance of inter-regional neural network connectivity in supporting healthy brain function. Such is measurable using neuroimaging techniques such as MEG, however richness electrophysiological signal makes gaining a complete picture challenging. Specifically, can be calculated statistical interdependencies between oscillations within large range different frequency bands. Further, computed This pan-spectral hierarchy likely helps to mediate simultaneous...

10.1016/j.neuroimage.2016.02.045 article EN cc-by NeuroImage 2016-02-21

The relationship between structural and functional brain networks is still highly debated. Most previous studies have used a single imaging modality to analyze this relationship. In work, we use multimodal data, from MRI, magnetoencephalography, diffusion tensor imaging, assume that there exists mapping the connectivity matrices of resting-state networks. We investigate employing group averaged as well individual data. indeed find significantly high goodness fit level for structure-function...

10.1089/brain.2015.0408 article EN Brain Connectivity 2016-02-10

The objective of the study was to investigate timing central nervous system tissue atrophy in MS by evaluating longitudinal retinal volume changes a broadly representative cohort with disease duration across entire arc disease. In this study, 135 patients and 16 healthy reference subjects underwent spectral-domain optical coherence tomography (OCT) at baseline 2 years later. Following OCT quality control, automated segmentation peripapillary nerve fiber layer (pRNFL), macular ganglion...

10.1007/s00415-016-8127-y article EN cc-by Journal of Neurology 2016-05-03

<h3>Objective</h3> To investigate the coexistence of anterograde and retrograde trans-synaptic axonal degeneration, to explore relationship between selective visual pathway damage global brain involvement in longstanding multiple sclerosis (MS). <h3>Methods</h3> In this single-centre, cross-sectional study, patients with MS (N=222) healthy controls (HC, N=62) were included. We analysed thickness retinal layers (optical coherence tomography), within optic radiations (OR) (lesion volume...

10.1136/jnnp-2014-308189 article EN Journal of Neurology Neurosurgery & Psychiatry 2014-06-27

The characterisation of dynamic electrophysiological brain networks, which form and dissolve in order to support ongoing cognitive function, is one the most important goals neuroscience. Here, we introduce a method for measuring such networks human using magnetoencephalography (MEG). Previous network analyses look regions that share common temporal profile activity. Here distinctly, exploit high spatio-temporal resolution MEG measure evolution connectivity between pairs parcellated regions....

10.1016/j.neuroimage.2016.08.061 article EN cc-by NeuroImage 2016-09-16

Significance This paper identifies a significant relationship between cortical myeloarchitecture and functional connectivity in the human brain. is step toward understanding role of myelin shaping large-scale neural networks. Our results extend recent work showing that electrical activity promotes myelination add weight to argument oscillations are core mediator brain connectivity.

10.1073/pnas.1608587113 article EN Proceedings of the National Academy of Sciences 2016-11-08

<h3>Objective</h3> Trans-synaptic axonal degeneration is a mechanism by which neurodegeneration can spread from sick to healthy neuron in the central nervous system. This study investigated what extent trans-synaptic takes place within visual pathway multiple sclerosis (MS). <h3>Methods</h3> A single-centre study, including patients with long-standing MS and controls. Structural imaging of brain (MRI) retina (spectral-domain optical coherence tomography) were used quantify atrophy individual...

10.1136/jnnp-2013-306902 article EN Journal of Neurology Neurosurgery & Psychiatry 2014-01-28

Event-related fluctuations of neural oscillatory amplitude are reported widely in the context cognitive processing and typically interpreted as a marker brain "activity". However, precise nature these effects remains unclear; particular, whether such reflect local dynamics, integration between regions, or both, is unknown. Here, using magnetoencephalography, we show that movement induced modulation associated with transient connectivity sensorimotor regions. Further, resting-state data,...

10.1093/cercor/bhy136 article EN Cerebral Cortex 2018-05-16

Abstract Thalamic atrophy is known to be one of the most important predictors for clinical dysfunction in multiple sclerosis (MS). As thalamus highly connected many cortical areas, this suggests that thalamic associated with disruption functional networks. We investigated thalamo‐cortical system explain presence physical and cognitive problems MS. Functional magnetic resonance imaging (fMRI) magnetoencephalography (MEG) were performed 86 MS patients 21 healthy subjects. computed networks...

10.1002/hbm.22650 article EN Human Brain Mapping 2014-10-08

Both gray matter atrophy and disruption of functional networks are important predictors for physical disability cognitive impairment in multiple sclerosis (MS), yet their relationship is poorly understood.Graph theory provides a modality invariant framework to analyze patterns morphology coactivation.We investigated, how were affected within the same MS sample examined interrelationship.Magnetic resonance imaging magnetoencephalography (MEG) performed 102 patients 42 healthy controls.Gray...

10.1002/hbm.22596 article EN Human Brain Mapping 2014-07-22

Background: The majority of patients with multiple sclerosis (MS) present spinal cord pathology. Spinal atrophy is thought to be a marker disease severity, but in long-disease duration its relation brain pathology and clinical disability largely unknown. Objective: Our aim was investigate mean upper cervical area (MUCCA) long-standing MS assess magnetic resonance imaging (MRI) measures disability. Methods: MUCCA measured 196 55 healthy controls using 3DT1-weighted images obtained at 3T MRI....

10.1177/1352458514533399 article EN Multiple Sclerosis Journal 2014-05-08
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