A5017767703- Colorectal Cancer Screening and Detection
- Functional Brain Connectivity Studies
- Health, Environment, Cognitive Aging
- Gastric Cancer Management and Outcomes
- Advanced Neuroimaging Techniques and Applications
- Health Systems, Economic Evaluations, Quality of Life
- Education, Psychology, and Social Research
- Multiple Sclerosis Research Studies
- Mycobacterium research and diagnosis
- Neural dynamics and brain function
- Advanced Causal Inference Techniques
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Statistical Methods and Bayesian Inference
- Gallbladder and Bile Duct Disorders
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Nonmelanoma Skin Cancer Studies
- Stress Responses and Cortisol
- Cancer Diagnosis and Treatment
- Cell Image Analysis Techniques
- Rheumatoid Arthritis Research and Therapies
- Meta-analysis and systematic reviews
- Alzheimer's disease research and treatments
- Potato Plant Research
- Oral Health Pathology and Treatment
Czech Academy of Sciences, Institute of Computer Science
2020-2025
Czech Academy of Sciences
2020-2025
Czech Technical University in Prague
2020-2025
Radboud University Medical Center
2024
Radboud University Nijmegen
2024
National Institute of Mental Health
2021-2023
Masaryk University
2018-2019
Institute of Health Information and Statistics
2017-2018
Abstract The human brain represents a complex computational system, the function and structure of which may be measured using various neuroimaging techniques focusing on separate properties tissue activity. We capture organization white matter fibers acquired by diffusion-weighted imaging probabilistic diffusion tractography. By segmenting results tractography into larger anatomical units, it is possible to draw inferences about structural relationships between these parts system. This...
Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics.We build on normative modelling...
Longitudinal neuroimaging studies offer valuable insight into brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding of population variation are primarily tailored for cross-sectional studies. To fully leverage the potential longitudinal neuroimaging, we need methodologies that account complex interplay between individual dynamics. We extend normative modelling framework, which evaluates an individual’s position...
Capsule colonoscopy might present an alternative to for colorectal neoplasia screening. To assess the accuracy of second-generation capsule (CCE2) detection compared with conventional (CC). From 2011-2015, we performed a multicenter, prospective, cross-over study evaluating use CCE2 as possible cancer (CRC) screening test based on assessment method's characteristics (accuracy) and safety patient acceptance routine. Enrolled participants fulfilled CRC population criteria if they were...
Abstract Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics. We build on normative...
Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics.We build on normative modelling...
Longitudinal neuroimaging studies offer valuable insight into brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding of population variation are primarily tailored for cross-sectional studies. To fully leverage the potential longitudinal neuroimaging, we need methodologies that account complex interplay between individual dynamics. We extend normative modelling framework, which evaluates an individual's position...
Explainable artificial intelligence holds a great promise for neuroscience and plays an important role in the hypothesis generation process. We follow-up recent machine learning-oriented study that constructed deep convolutional neural network to automatically identify biological sex from EEG recordings healthy individuals highlighted discriminative of beta-band power. If generalizing, this finding would be relevant not only theoretically by pointing some specific neurobiological sexual...
Epilepsy is a neurological disease characterized by epileptic seizures, which commonly manifest with pronounced frequency and amplitude changes in the EEG signal. In case of focal initially localized pathological activity spreads from so-called "onset zone" to wider network brain areas. Chimeras, defined as states simultaneously occurring coherent incoherent dynamics symmetrically coupled networks are increasingly invoked for characterization seizures. particular, chimera-like have been...
Abstract Background and purpose Cognitive impairment (CI) in multiple sclerosis (MS) is associated with bidirectional changes resting‐state centrality measures. However, practicable functional magnetic resonance imaging (fMRI) biomarkers of CI are still lacking. The aim this study was to assess the graph‐theory‐based degree rank order disruption index ( k D ) its association cognitive processing speed as a marker patients MS (PwMS) secondary cross‐sectional fMRI analysis. Methods...
DATA REPORT article Front. Neurosci., 28 May 2021 | https://doi.org/10.3389/fnins.2021.662784
BACKGROUND: Changes of white matter integrity in people with multiple sclerosis (MS) were documented following mainly motor/skill acquisitions physical therapy, while neuroproprioceptive "facilitation, inhibition" (neurofacilitation) only by two pilot studies. Neurofacilitation has potential to induce changes due the possibility interfering neuronal tactility threshold. However stronger evidence is missing.AIM: This study investigates whether neurofacilitation (three therapy types) and if...
A bstract Background and Objectives The aim of this secondary data analysis was to determine whether multiple sclerosis (MS) is associated with changes in global degree rank order disruption index ( k D ), a graph theory-based functional connectivity measure representing shift overall distribution nodal centrality. Additionally, we tested the relationship between MS symptoms (cognitive motor impairment, fatigue, disability). Methods Global computed pre-existing cross-sectional fMRI dataset...
Abstract In this study, we explore the intricate landscape of brain connectivity in early stages schizophrenia, focusing on patterns hyper- and hypoconnectivity. Despite existing literature’s support for altered functional (FC) inconsistencies controversies persist regarding specific dysconnections. Leveraging a large sample 100 first-episode schizophrenia patients (42 females/58 males) 90 healthy controls (50 females/40 males), compare across regions Automated Anatomical Labeling atlas. We...
Longitudinal neuroimaging studies offer valuable insight into intricate dynamics of brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding population variation are primarily tailored for cross-sectional studies. To fully harness the potential longitudinal data, we have to develop refine methodologies that adapted designs, considering complex interplay between individual dynamics.We build on normative modelling...
Cognitive impairments are a core feature of psychosis that often evident before illness onset and have substantial impact on both clinical real-world functional outcomes. Therefore, these an excellent target for stratification early detection in order to facilitate intervention. While many studies aimed characterise the effects cognition at group level others detect individual differences by referencing subjects against existing norms, limited generalisability across populations, demographic...
The adenoma detection rate (ADR) is the primary quality indicator for colonoscopies. polyp (PDR) available from administrative data and does not depend on histology verification. correlation between PDR ADR ADR/PDR conversion factor in preventive colonoscopies were evaluated. In prospective study, asymptomatic individuals aged 45–75 years with colonoscopy 2012–2016 included. Spearman’s coefficient was used to assess PDR/ADR each endoscopist. Conversion predicting obtained by linear...