A5008404124- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Neural dynamics and brain function
- Parkinson's Disease Mechanisms and Treatments
- Transcranial Magnetic Stimulation Studies
- Neural and Behavioral Psychology Studies
- Neuroscience and Neural Engineering
- Personality Disorders and Psychopathology
- Advanced MRI Techniques and Applications
- Action Observation and Synchronization
- Attention Deficit Hyperactivity Disorder
- Advanced Neuroimaging Techniques and Applications
- Psychosomatic Disorders and Their Treatments
- Blind Source Separation Techniques
- Education, Psychology, and Social Research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Neuroscience and Neuropharmacology Research
- Epilepsy research and treatment
- Mental Health Research Topics
- Photoreceptor and optogenetics research
- Dementia and Cognitive Impairment Research
- Heart Rate Variability and Autonomic Control
- Face Recognition and Perception
- Electromagnetic Fields and Biological Effects
Central European Institute of Technology
2016-2025
Masaryk University
2017-2025
Central European Institute of Technology – Masaryk University
2016-2025
St. Anne's University Hospital Brno
2024
Brno University of Technology
2012-2019
Abstract Beta hypersynchrony was recently introduced into clinical practice in Parkinson’s disease (PD) to identify the best stimulation contacts and for adaptive deep brain (aDBS) sensing. However, many other oscillopathies accompany disease, beta power sensing may not be optimal all patients. The aim of this work study potential usefulness phase-amplitude coupling (PAC) with high frequency oscillations (HFOs). Subthalamic nucleus (STN) local field potentials (LFPs) from externalized DBS...
Abstract Background Temporal interference stimulation (TIS) is a novel noninvasive electrical technique to focally modulate deep brain regions; minimum of two high‐frequency signals ( f 1 and 2 > kHz) interfere create an envelope‐modulated signal at target with the frequency modulation equal difference frequency: Δ = | – |. Objective The goals this study were verify capability TIS subthalamic nucleus (STN) compare effect conventional (DBS) on STN beta oscillations in patients Parkinson's...
Abstract Mechanisms of deep brain stimulation (DBS) on cortical networks were explored mainly by fMRI. Advanced analysis high-density EEG is a source additional information and may provide clinically useful biomarkers. The presented study evaluates microstates in Parkinson’s disease the effect DBS subthalamic nucleus (STN). association between revealed spatiotemporal dynamics changes oscillatory activity clinical examination assessed. Thirty-seven patients with treated STN-DBS underwent two...
Images of ocular fundus are routinely utilized in ophthalmology. Since an examination using camera is relatively fast and cheap procedure, it can be used as a proper diagnostic tool for screening retinal diseases such the glaucoma. One glaucoma symptoms progressive atrophy nerve fiber layer (RNFL) resulting variations RNFL thickness. Here, we introduce novel approach to capture these computer-aided analysis textural appearance standard easily available color images. The proposed method uses...
Abstract We hypothesized that local/regional properties of stimulated structure/circuitry contribute to the effect deep brain stimulation (DBS). analyzed intracerebral electroencephalographic (EEG) recordings from externalized DBS electrodes targeted bilaterally in anterior nuclei thalamus (ANT) 12 patients (six responders, six nonresponders) with more than 1 year follow‐up care. In bipolar local field potentials EEG, spectral power (PW) and entropy (PSE) were calculated passbands 1–4, 4–8,...
Abstract Many methods applied to data acquired by various imaging modalities have been evaluated for their benefit in localizing lesions magnetic resonance (MR) negative epilepsy patients. No approach has proven be a stand‐alone method with sufficiently high sensitivity and specificity. The presented study addresses the potential of automated fusion results individual presurgical evaluation. We collected electrophysiological, MR, nuclear from 137 patients pharmacoresistant...
Abstract The objective was to determine the optimal combination of multimodal imaging methods (IMs) for localizing epileptogenic zone (EZ) in patients with MR-negative drug-resistant epilepsy. Data from 25 focal epilepsy (age 30 ± 10 years, 16M/9F) who underwent surgical resection EZ and 110 healthy controls 31 9 years; 56M/54F) were used evaluate IMs based on 3T MRI, FDG-PET, HD-EEG, SPECT. Patients successful outcomes and/or positive histological findings evaluated. From 38 calculated per...
Background: Affective dysregulation and impaired cognitive control are implicated in the pathology of functional neurological disorders (FNDs). However, voluntary regulation emotions has seldom been researched this group patients. We hypothesized that patients with FNDs use inefficient emotion strategies regulate emotional reactions via increased motor activation. Methods: Fifteen movement disorder (FMD) fifteen healthy subjects matched by age, sex, education underwent an task fMRI. For...
Social touch seems to modulate emotions, but its brain correlates are poorly understood. Here, we investigated if frontal power band activity in the electroencephalogram (EEG) during aversive mental imagery is modulated by social from one’s romantic partner and a stranger. We observed highest theta beta when imaging alone, next so being touched stranger, with lowest holding hands loved one. Delta was higher alone than stranger or partner, no difference between two. Gamma condition lower both...
Objective. The scalp EEG spectrum is a frequently used marker of neural activity. Commonly, the preprocessing utilizes constraints, e.g. dealing with predefined subset electrodes or frequency band interest. Such treatment neglects fact that particular processes may be reflected in several bands and/or concurrently, and can overlook complexity structure spectrum. Approach. We showed described by parallel factor analysis (PARAFAC), method which blindly uncovers spatial–temporal–spectral...
Growing interest in the examination of large-scale brain network functional connectivity dynamics is accompanied by an effort to find electrophysiological correlates. The commonly used constraints applied spatial and spectral domains during electroencephalogram (EEG) data analysis may leave part neural activity unrecognized. We propose approach that blindly reveals multimodal EEG patterns are related BOLD connectivity.The blind decomposition spectrogram parallel factor has been shown be a...
Abstract Background Maladaptive behaviors and interpersonal difficulties in patients with borderline personality disorder (BPD) seem connected to biased facial emotion processing. This bias is often accompanied by heightened amygdala activity BPD as compared healthy controls. However, functional magnetic resonance imaging (fMRI) studies exploring differences between controls processing have produced divergent results. The current study explored fMRI heart rate variability (HRV) correlates of...
The aim of this work was to study the effect deep brain stimulation subthalamic nucleus (STN-DBS) on subnetwork subcortical and cortical motor regions whole connectivity using functional analysis in Parkinson's disease (PD). high-density source space EEG acquired analyzed 43 PD subjects DBS off states (off medication) during a cognitive-motor task. Increased high gamma band (50-100 Hz) within between significantly associated with Movement Disorders Society - Unified Disease Rating Scale...
Multiway array decomposition methods have been shown to be promising statistical tools for identifying neural activity in the EEG spectrum. They blindly decompose spectrum into spatial-temporal-spectral patterns by taking account inherent relationships among signals acquired at different frequencies and sensors. Our study evaluates stability of derived one particular method, parallel factor analysis (PARAFAC). We focused on patterns' over time population divided complete data set containing...