A5046251977- Functional Brain Connectivity Studies
- Attention Deficit Hyperactivity Disorder
- Transcranial Magnetic Stimulation Studies
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Heart Rate Variability and Autonomic Control
- Treatment of Major Depression
- Neurological disorders and treatments
- Neural dynamics and brain function
- Mental Health Research Topics
- Sleep and related disorders
- Sleep and Wakefulness Research
- Electroconvulsive Therapy Studies
- Pain Management and Treatment
- Obsessive-Compulsive Spectrum Disorders
- Cardiovascular Syncope and Autonomic Disorders
- Muscle activation and electromyography studies
- Obesity, Physical Activity, Diet
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Cognitive Abilities and Testing
- Eating Disorders and Behaviors
- Health, Environment, Cognitive Aging
- Dementia and Cognitive Impairment Research
- Spatial Neglect and Hemispheric Dysfunction
- Cognitive and developmental aspects of mathematical skills
Maastricht University
2020-2025
Brainclinics
2016-2025
Stanford University
2024-2025
Radboud University Medical Center
2014-2024
Radboud University Nijmegen
2014-2024
Pro Persona
2024
Trimbos Institute
2024
GGZ inGeest
2024
University Medical Center
2024
St. Antonius Ziekenhuis
2024
Abstract Neurofeedback has begun to attract the attention and scrutiny of scientific medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims improve reporting experimental design standards in field.
Brain activity assessed by electroencephalography (EEG) has been demonstrated to respond conditioning techniques.The concept of modulating this called EEG biofeedback, more recently neurofeedback, and is based on operant learning principles.Technological advancements have significantly enhanced the ease affordability recording analyzing brain activity.Thus, properly trained practitioners can implement these strategies in their practice.Recent research indicating evidenced-based efficacy made...
We have excellent skills to extract sex from visual assessment of human faces, but assessing brain rhythms seems impossible. Using deep convolutional neural networks, with unique potential find subtle differences in apparent similar patterns, we explore if either contain specific information. Here show, a ground truth scenario, that net can predict scalp electroencephalograms an accuracy >80% (p < 10-5), revealing are specific. Further, extracted sex-specific features the filter layers,...
Although repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression, little known about the comparative effectiveness of rTMS and other options, such as antidepressants. In this multicenter randomized controlled trial, was compared with next pharmacological step in patients treatment-resistant depression.
This study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman & Lunt are identifiable patterns with good inter-rater reliability. Furthermore, it was also demonstrated these occurred in both ADHD subjects well healthy control subjects. The Frontal Slow and Slowed Alpha Peak Frequency Low Voltage phenotype discriminated best from controls (however difference not significant). group responded to a stimulant clinically relevant decreased number of false negative errors on...
Repetitive transcranial magnetic stimulation (rTMS) is considered an efficacious non-invasive neuromodulation treatment for major depressive disorder (MDD). However, little known about the clinical outcome of combined rTMS and psychotherapy (rTMS + PT). Through common neurobiological brain mechanisms, PT may exert enhanced antidepressant effects compared to respective monotherapies.The current naturalistic study aimed evaluate feasibility in a large group MDD patients. The second aim was...