A5087776784- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Fractal and DNA sequence analysis
- Neurological disorders and treatments
- Amyotrophic Lateral Sclerosis Research
- Neuroscience and Neuropharmacology Research
- Advanced Neuroimaging Techniques and Applications
- Heart Rate Variability and Autonomic Control
- Epilepsy research and treatment
- Genetic Neurodegenerative Diseases
Amsterdam Neuroscience
2021-2025
Amsterdam University Medical Centers
2021-2025
Vrije Universiteit Amsterdam
2021-2025
Amsterdam UMC Location Vrije Universiteit Amsterdam
2023-2024
University of Amsterdam
2022
To enable successful inclusion of electroencephalography (EEG) outcome measures in Alzheimer's disease (AD) clinical trials, we retrospectively mapped the progression resting-state EEG over time amyloid-positive patients with mild cognitive impairment (MCI) or dementia due to AD.Resting-state 21-channel was recorded 148 AD (MCI, n = 88; AD, 60). Two more recordings were available for all subjects. We computed whole-brain and regional relative power (i.e., theta (4-8 Hz), alpha1 (8-10 alpha2...
Abstract Amyotrophic lateral sclerosis (ALS) with only motor impairment (ALS-pure motor) and the behavioural variant of frontotemporal dementia (bvFTD) are hypothesized to represent extreme ends a disease-spectrum which encompasses ALS cognitive/behavioural (ALSci/bi). In this longitudinal magnetoencephalography (MEG) study, we investigated changes in brain network topology ALSci/bi over time as compared ALS-pure bvFTD patients. Resting-state MEG was recorded (n=9), (n=16) at baseline...
Abstract Increasing evidence suggests that measures of signal variability and complexity could present promising biomarkers for Alzheimer’s disease (AD). Earlier studies have however been limited to the characterization local activity. Here, we investigate whether a network version permutation entropy serve as novel biomarker early-stage AD. Resting-state source-space magnetoencephalography was recorded in 18 subjects with subjective cognitive decline (SCD) mild impairment (MCI). Local...
Abstract A novel network version of permutation entropy, the inverted joint entropy (JPE inv ), holds potential as non-invasive biomarker abnormal excitation-inhibition (E-I) ratio in Alzheimer’s disease (AD). In this computational modelling study, we test hypotheses that metric, and related measures signal variability functional connectivity, are sensitive to altered E-I ratios. The each neural mass a whole-brain model was systematically varied. We evaluated whether JPE , local (by entropy)...
The olivo-cerebellar circuit is thought to play a crucial role in the pathophysiology of essential tremor (ET). Whether dysfunction also present at rest, absence clinical and linked voluntary movement, remains unclear. Assessing this network detail with fMRI challenging, considering brainstem close major arteries pulsatile cerebrospinal fluid-filled spaces obscuring signals interest. Here, we used methods tailored analysis infratentorial structures. We hypothesize that shows altered...
Accurate identification of the underlying cause(s) cognitive decline and dementia is challenging due to significant symptomatic overlap between subtypes. This study presents a multi-class classification framework for subjects with subjective decline, mild impairment, Alzheimer's disease, Lewy bodies, fronto-temporal psychiatric illness, trained on source-localized resting-state magnetoencephalography data. Diagnostic profiles, describing probability estimates each 6 diagnoses, were assigned...
Abstract With the ongoing developments in field of anti-amyloid therapy for Alzheimer’s disease, it is crucial to better understand longitudinal associations between amyloid-β deposition and altered network activity living human brain. We included 110 cognitively unimpaired individuals (67.9 ± 5.7 years), who underwent [18F]flutemetamol (amyloid-β)-PET imaging resting-state magnetoencephalography (MEG) recording at baseline 4-year follow-up. tested MEG measures (oscillatory power functional...
Abstract Background To enable successful inclusion of resting‐state electroencephalography (EEG) outcome measures in Alzheimer’s disease (AD) clinical trials, we (retrospectively) mapped the progression EEG markers over time amyloid‐positive subjects. Methods Resting‐state 21‐channel was recorded 173 subjects positive for amyloid deposition (subjective cognitive decline, n = 16; mild impairment, 94; dementia due to AD, 63). Two or more recordings were available all We computed whole‐brain...
The amyotrophic lateral sclerosis-frontotemporal dementia (ALS-FTD) spectrum also encompasses ALS with cognitive/behavioural impairment (ALSci/bi). In this longitudinal study, we used magnetoencephalography (MEG) to investigate the changes in brain network topology of ALSci/bi over time as compared extreme ends ALS-bvFTD (ALS-pure motor and behavioural variant FTD (bvFTD).Reference Minimum Spanning Trees (MSTs) were computed for either ALS-pure or bvFTD, against which networks...
Abstract Background Increasing evidence suggests that measures of signal variability and complexity could present promising biomarkers for Alzheimer’s disease (AD). Earlier studies have however been limited to the characterization local activity. Here, we investigate whether a network version permutation entropy serve as novel biomarker early‐stage AD. Method Resting‐state source‐space magnetoencephalography was recorded in 18 subjects with subjective cognitive decline (‘SCD’) mild...