A5064250454- Transcranial Magnetic Stimulation Studies
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Motor Control and Adaptation
- Neural and Behavioral Psychology Studies
- Visual perception and processing mechanisms
- Electrical and Bioimpedance Tomography
- Advanced Neuroimaging Techniques and Applications
- Glioma Diagnosis and Treatment
- Neurological disorders and treatments
- Atomic and Subatomic Physics Research
- Advanced Memory and Neural Computing
- Vestibular and auditory disorders
- Medical Imaging Techniques and Applications
- Ultrasound and Hyperthermia Applications
- Diamond and Carbon-based Materials Research
- Ultrasound Imaging and Elastography
- Pain Management and Treatment
- Photoacoustic and Ultrasonic Imaging
- Spatial Neglect and Hemispheric Dysfunction
- Photoreceptor and optogenetics research
Copenhagen University Hospital
2016-2025
Technical University of Denmark
2016-2025
Hvidovre Hospital
2016-2025
Max Planck Institute for Human Cognitive and Brain Sciences
2011-2024
University of Edinburgh
2024
Maastricht University
2024
Stanford University
2024
Medical University of Vienna
2024
Materialise (Germany)
2024
California University of Pennsylvania
2024
Electric field calculations based on numerical methods and increasingly realistic head models are more used in research Transcranial Magnetic Stimulation (TMS). However, they still far from being established as standard tools for the planning analysis practical applications of TMS. Here, we start by delineating three main challenges that need to be addressed unravel their full potential. This comprises (i) identifying dealing with model uncertainties, (ii) establishing a clear link between...
Abstract The need for realistic electric field calculations in human noninvasive brain stimulation is undisputed to more accurately determine the affected areas. However, using numerical techniques such as finite element method (FEM) methodologically complex, starting with creation of accurate head models integration calculations. These problems substantially limit a widespread application methods up now. We introduce an optimized processing pipeline allowing automatic generation...
Transcranial Magnetic Stimulation (TMS) excites populations of neurons in the stimulated cortex, and resulting activation may spread to connected brain regions. The distributed cortical response can be recorded with electroencephalography (EEG). Since TMS also stimulates peripheral sensory motor axons generates a loud "click" sound, TMS-evoked EEG potentials (TEPs) reflect not only neural activity induced by transcranial neuronal excitation but due somatosensory auditory processing. In 17...
Abstract Transcranial electric stimulation (TES) is an emerging technique, developed to non-invasively modulate brain function. However, the spatiotemporal distribution of intracranial fields induced by TES remains poorly understood. In particular, it unclear how much current actually reaches brain, and distributes across brain. Lack this basic information precludes a firm mechanistic understanding effects. study we directly measure spatial temporal characteristics field generated using...
Despite advances in data augmentation and transfer learning, convolutional neural networks (CNNs) difficultly generalise to unseen domains. When segmenting brain scans, CNNs are highly sensitive changes resolution contrast: even within the same MRI modality, performance can decrease across datasets. Here we introduce SynthSeg, first segmentation CNN robust against contrast resolution. SynthSeg is trained with synthetic sampled from a generative model conditioned on segmentations. Crucially,...
Despite the widespread use of transcranial magnetic stimulation (TMS), precise cortical locations underlying resulting physiological and behavioral effects are still only coarsely known. To date, mapping strategies have relied on projection approaches (often termed "center gravity" approaches) or maximum electric field value evaluation, therefore localize stimulated site approximately indirectly. Focusing motor cortex, we present validate a novel method to reliably determine effectively at...
In the present study, we tested hypothesis that brain activation would reflect perceptual choices. To probe this question, used functional magnetic resonance imaging (fMRI) during a challenging fear-disgust, two-choice discrimination task. We investigated how moment-to-moment fluctuations in fMRI signals were correlated with choice by computing probability index quantified well behavioral could be predicted single-trial amplitude. Our analyses revealed reporting neutral face as "fearful" was...
Much of our knowledge on the physiological mechanisms transcranial magnetic stimulation (TMS) stems from studies which targeted human motor cortex. However, it is still unclear part cortex predominantly affected by TMS. Considering that consists functionally and histologically distinct subareas, this also renders hypotheses TMS effects uncertain. We use finite element method (FEM) resonance image-based individual head models to get realistic estimates electric field induced The changes in...
Transcranial brain stimulation (TBS) has been established as a method for modulating and mapping the function of human brain, potential treatment tool in several disorders. Typically, is applied using one-size-fits-all approach with predetermined locations electrodes, electric (TES), or coil, magnetic (TMS), which disregards anatomical variability between individuals. However, induced field distribution head largely depends on features implying need individually tailored protocols focal...
Transcranial magnetic stimulation (TMS) and transcranial electric (TES) modulate brain activity non-invasively by generating fields either electromagnetic induction or injecting currents via skin electrodes. Numerical simulations based on anatomically detailed head models of the TMS TES can help us to understand optimize spatial pattern in brain. However, most realistic are still slow, role anatomical fidelity simulation accuracy has not been evaluated detail so far.We present validate a new...