A5032739302- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Multiple Sclerosis Research Studies
- Glioma Diagnosis and Treatment
- EEG and Brain-Computer Interfaces
- Neuroscience, Education and Cognitive Function
- Advanced Memory and Neural Computing
- Medical Imaging Techniques and Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Natural Language Processing Techniques
- Neuroscience and Neural Engineering
- Vestibular and auditory disorders
- Peripheral Nerve Disorders
- Vehicle Noise and Vibration Control
- Tendon Structure and Treatment
- Mechanical Failure Analysis and Simulation
- Vehicle Dynamics and Control Systems
- Orthopedic Surgery and Rehabilitation
Amsterdam Neuroscience
2020-2023
Vrije Universiteit Amsterdam
2020-2023
Amsterdam University Medical Centers
2020-2023
Cancer Center Amsterdam
2022
Amsterdam UMC Location Vrije Universiteit Amsterdam
2018-2019
Center for Neurosciences
2018-2019
Moscow Engineering Physics Institute
2016
Abstract Introduction Cognitive deficits occur frequently in diffuse glioma patients, but are limitedly understood. An important marker for survival these patients is isocitrate dehydrogenase (IDH) mutation (IDH‐mut). Patients with IDH‐mut have a better prognosis more often suffer from epilepsy than IDH‐wildtype (IDH‐wt) glioma, who generally older and cognitive deficits. We investigated whether global brain functional connectivity differs between IDH‐wt this measure reflects variations...
Abstract It is unclear why exactly gliomas show preferential occurrence in certain brain areas. Increased spiking activity around leads to faster tumour growth animal models, while higher non-invasively measured related shorter survival patients. However, it unknown how regional intrinsic activity, as healthy controls, relates glioma occurrence. We first investigated whether occur more frequently regions with intrinsically activity. Second, we explored cortical at individual patients’...
Multiple sclerosis (MS) features extensive connectivity changes, but how structural and functional relate, whether this relation could be a useful biomarker for cognitive impairment in MS is unclear. This study included 79 patients 40 healthy controls (HCs). Patients were classified as cognitively impaired (CI) or preserved (CP). Structural was determined using diffusion MRI resting-state magnetoencephalography (MEG) data (theta, alpha1, alpha2 bands). Structure-function coupling assessed by...
Introduction: Glioma patients show increased global brain network clustering related to poorer cognition and epilepsy. However, it is unclear whether this increase spatially widespread, localized in the (peri)tumor region only, or decreases with distance from tumor. Materials Methods: Weighted local was determined 71 glioma 53 controls by using magnetoencephalography. Tumor averaging of regions overlapping tumor, vice versa for non-tumor regions. Euclidean tumor centroid centroids other...
Background: Synaptic and neuronal loss contribute to network dysfunction disability in multiple sclerosis (MS). However, it is unknown whether excitatory or inhibitory synapses neurons are more vulnerable how their losses impact functioning. Objective: To quantify investigate synaptic affects functioning through computational modeling. Methods: Using immunofluorescent staining confocal microscopy, densities of glutamatergic GABAergic were compared between post-mortem MS non-neurological...
Progression-free survival (PFS) in glioma patients varies widely, even when stratifying for known predictors (i.e. age, molecular tumor subtype, presence of epilepsy, grade and Karnofsky performance status). Neuronal activity has been shown to accelerate growth an animal model, suggesting that brain may be valuable as a PFS predictor. We investigated whether postoperative oscillatory activity, assessed by resting-state magnetoencephalography is additional value predicting patients.We...
Non-invasively measured brain activity is related to progression-free survival in glioma patients, suggesting its potential as a marker of progression. We therefore assessed the relationship between and increasing tumor volumes on routine clinical magnetic resonance imaging (MRI) patients. Postoperative magnetoencephalography (MEG) was recorded 45 diffuse Brain estimated using three measures (absolute broadband power, offset slope) calculated at spatial levels: global average, averaged...
Background: Cognitive decline remains difficult to predict as structural brain damage cannot fully explain the extensive heterogeneity found between MS patients. Objective: To investigate whether functional network organization measured with magnetoencephalography (MEG) predicts cognitive in patients after 5 years and explore its value beyond pathology. Methods: Resting-state MEG recordings, MRI, neuropsychological assessments were analyzed of 146 patients, 100 had a 5-year follow-up...
Abstract Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, allowing for integration across multiple frequencies, relates and predicts in glioma. Patients glioma (n = 37) underwent resting-state magnetoencephalography neuropsychological tests assessing word fluency, inhibition, set shifting (T1) one year resection...
A common problem in resting-state neuroimaging studies is that subjects become drowsy or fall asleep. Although this could drastically affect neurophysiological measurements, such as magnetoencephalography (MEG), its specific impact remains understudied. We aimed to systematically investigate how often drowsiness present during MEG recordings, and the state changes alter quantitative estimates of oscillatory activity, functional connectivity, network topology.About 8-min recordings 19 healthy...
Impaired eye movements in multiple sclerosis (MS) are common and could represent a non-invasive accurate measure of (dys)functioning interconnected areas within the complex brain network. The aim this study was to test whether altered saccadic related changes functional connectivity (FC) patients with MS. Cross-sectional movement (pro-saccades anti-saccades) magnetoencephalography (MEG) data from Amsterdam MS cohort were included 176 33 healthy controls. FC calculated between all regions...
Computational models are often used to assess how functional connectivity (FC) patterns emerge from neuronal population dynamics and anatomical brain connections. It remains unclear whether the commonly group-averaged data can predict individual FC patterns. The Jansen Rit neural mass model was employed, where masses were coupled using structural (SC). Simulated correlated magnetoencephalography-derived empirical FC. estimated phase-based (phase lag index (PLI), phase locking value (PLV)),...
Abstract Introduction Computational models are often used to assess how functional connectivity (FC) patterns emerge from neuronal population dynamics and anatomical connections in the brain. However, group averaged data is this context it remains unclear whether individual predictions of FC using approach can be made. Here, we value individualized structural for simulation whole-brain FC. Methods The Jansen Rit neural mass model was employed, where masses were coupled (SC) obtained...
Abstract It is unclear why exactly gliomas show preferential occurrence in certain brain areas. Increased spiking activity around leads to faster tumor growth animal models, while higher non-invasively measured related shorter survival patients. However, it unknown how regional intrinsic activity, as healthy controls, relates glioma occurrence. We first investigated whether occur more frequently regions with intrinsically activity. Secondly, we explored cortical at individual patients’...
Abstract Background Glioma is associated with pathologically high neuronal activity around the tumor, which associates faster tumor progression in patients. Concurrently, patients glioma have local and widespread disturbances of functional brain network as measured magnetoencephalography (MEG) such higher clustering (the extent to regions connected a particular area are also each other) locally altered integrative connectivity (for instance assessed centrality measure). How nodal properties...
Isocitrate dehydrogenase (IDH) mutation (IDH-mut) is an important marker for survival in diffuse glioma patients. Patients with IDH-mut have a better prognosis but more often suffer from epilepsy. wildtype (IDH-wt) are generally older and cognitive deficits. Regardless of IDH status, deficits patients associated altered functional connectivity throughout the brain as calculated through statistical correlations between regional neurophysiological activity patterns measured...
Abstract Introduction Functional brain networks in glioma patients are characterized by higher global clustering than healthy controls, indicating stronger connectivity triads of regions when averaging across the entire brain. However, this could be due to either primary increased local (peri)tumor or throughout METHODS Magnetoencephalography recordings 71 and 53 HCs were analyzed calculating functional with phase lag index between source-localized time series 78 cortical automated...
Abstract Non-invasively measured brain activity is related to progression-free survival in glioma patients, suggesting its potential as a marker of progression. We therefore assessed the relationship between and increasing tumor volumes on routine clinical magnetic resonance imaging (MRI) patients. Postoperative magnetoencephalography (MEG) was recorded 45 diffuse Brain estimated using three measures (absolute broadband power, offset slope) calculated at spatial levels: global average,...