David Tomeček
A5005433980- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Schizophrenia research and treatment
- Mental Health Research Topics
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Sexual function and dysfunction studies
- Sleep and related disorders
- Neural and Behavioral Psychology Studies
- Sleep and Wakefulness Research
- Stress Responses and Cortisol
- Olfactory and Sensory Function Studies
- Sexual Assault and Victimization Studies
- Complex Systems and Time Series Analysis
- Diet and metabolism studies
- Sexuality, Behavior, and Technology
- Single-cell and spatial transcriptomics
- Sexual Differentiation and Disorders
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Psychology of Moral and Emotional Judgment
- Complex Network Analysis Techniques
- Cognitive Abilities and Testing
- Transcranial Magnetic Stimulation Studies
- Tryptophan and brain disorders
National Institute of Mental Health
2025
SUNY Upstate Medical University
2025
Czech Academy of Sciences, Institute of Computer Science
2017-2024
National Institute of Mental Health
2017-2024
Czech Academy of Sciences
2017-2024
Czech Technical University in Prague
2017-2024
Universitätsklinikum Aachen
2019
RWTH Aachen University
2019
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines data from many institutions worldwide. However, introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether batch adjustment method, ComBat, can further reduce site-related...
Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts the ENIGMA, non-ENIGMA public datasets. Using Subtype Stage Inference (SuStaIn) algorithm, identify two distinct neurostructural subgroups by mapping spatial temporal ‘trajectory’ gray matter change in...
Threat perception is a fundamental aspect of human cognition, shaped by evolutionary pressures and modern environmental demands. While ancestral threats (e.g., snakes) have been shown to elicit stronger neural responses than guns), less known about how the brain processes airborne threats, such as depictions individuals wearing face masks. This fMRI study investigates ancestral, modern, identify shared distinct activation patterns. Sixty participants viewed visual stimuli from three...
Abstract Background Schizophrenia is associated with an increased risk of aggressive behaviour, which may partly be explained by illness-related changes in brain structure. However, previous studies have been limited group-level analyses, small and selective samples inpatients long time lags between exposure outcome. Methods This cross-sectional study pooled data from 20 sites participating the international ENIGMA-Schizophrenia Working Group. Sites acquired T1-weighted diffusion-weighted...
Complex systems are commonly characterized by the properties of their graph representation. Dynamical complex then typically represented a temporal dependencies between time series state variables subunits. It has been shown recently that graphs constructed in this way tend to have relatively clustered structure, potentially leading spurious detection small-world even case with no or randomly distributed true interactions. However, strength bias depends heavily on range parameters and its...
Functional connectivity analysis of resting-state fMRI data has recently become one the most common approaches to characterizing individual brain function. It been widely suggested that functional matrix is a useful approximate representation brain's connectivity, potentially providing behaviorally or clinically relevant markers. However, estimates are known be detrimentally affected by various artifacts, including those due in-scanner head motion. Moreover, as connections generally covary...
The administration of questionnaires presents an easy way obtaining important knowledge about phobic patients. However, it is not well known how these subjective measurements correspond to the patient's objective condition. Our study aimed compare scores on and image evaluation behavioral approach test (BAT) neurophysiological effect spiders extracted from fMRI measurements. was explore reliably statements physiological parameters discriminate between phobics non-phobics, what are best...
Abstract Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, whether this was clinical characteristics a prospective meta-analytic study conducted by the ENIGMA Working Group. The included data from 26 cohorts worldwide, total 2803 patients (mean age 34.2 years; range 18-72 67% male) 2598 healthy controls 33.8 years, 18-73 55%...
Graph-theoretical approaches are increasingly used to study the brain and may enhance our understanding of its asymmetries. In this paper, we hypothesize that structure left hemisphere is, on average, more modular. To end, analyzed resting-state functional magnetic resonance imaging data 90 healthy subjects. We computed connectivity by Pearson’s correlation coefficient, turned matrix into an unweighted graph keeping a certain percentage strongest connections, quantified modularity separately...
NREM parasomnias also known as disorders of arousal (DOA) are characterised by abnormal motor and autonomic activation during arousals primarily from slow wave sleep. Dissociative state between sleep wake is likely responsible for clinical symptoms DOA. We therefore investigated potential dissociation outside parasomnic events using simultaneous 256-channel EEG (hdEEG) functional magnetic resonance imaging (fMRI).Eight DOA patients (3 women, mean age = 27.8; SD 4.2) 8 gender matched healthy...
Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared clinical and biological foundations, presenting a crucial step toward establishing biologically mental disorders. With the goal identifying disease progression in schizophrenia, here we analyzed cross-sectional brain structural magnetic resonance imaging (MRI) data from 4,291 individuals with schizophrenia (1,709 females, age=32.5 years±11.9) 7,078 healthy controls (3,461 age=33.0 years±12.7)...
Functional magnetic resonance imaging (fMRI) techniques and electroencephalography (EEG) were used to investigate sleep with a focus on impaired arousal mechanisms in disorders of (DOAs). With prevalence 2–4% adults, DOAs are significant that currently gaining attention among physicians. The paper describes simultaneous EEG fMRI experiment conducted adult individuals (n=10). Both data validated by reproducing well established associations. A method for identification both brain functional...
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...
The relationship between personality and brain activity has been an increasingly popular topic of neuroscientific research. However, the limitations both measures neu-roimaging, as well methodological issues, continue to pose challenges its understanding. naturalistic viewing condition shown enhance individual differences might, therefore, be benefit endeavor. Here, we thus examine this using fMRI 82 healthy subjects. We implemented a simple dimensionality reduction method characterize by...
Abstract Objective Schizophrenia is a multifaceted disorder associated with structural brain heterogeneity. Despite its relevance for identifying illness subtypes and informative biomarkers, heterogeneity in schizophrenia remains incompletely understood. Therefore, the objective of this study was to provide comprehensive insight into schizophrenia. Methods This meta- mega-analysis investigated variability multimodal measures white gray matter individuals versus healthy controls. Using ENIGMA...
In the last years, there has been a considerable increase of research into neuroimaging correlates inter-individual temperament and character variability—an endeavour for which term 'personality neuroscience' was coined. Among other modalities approaches, substantial work focuses on functional connectivity in resting state (rs-FC) magnetic resonance imaging data. current paper, we set out to independently query questions asked highly cited study that reported range personality dimensions...
In the last years, there has been a considerable increase of research into neuroimaging correlates inter-individual temperament and character variability - an endeavour for which term ‘personality neuroscience’ was coined. Among other modalities approaches, substantial work focuses on functional connectivity in resting state (rs-FC) magnetic resonance imaging data. current paper, we set out to replicate highly cited study that reported range personality dimensions assessed by widely used...