A5002868793- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Spatial Neglect and Hemispheric Dysfunction
- Neural and Behavioral Psychology Studies
- Acute Ischemic Stroke Management
- Neural Networks and Applications
- Tactile and Sensory Interactions
- Visual perception and processing mechanisms
- Dementia and Cognitive Impairment Research
- Cell Image Analysis Techniques
- Photoreceptor and optogenetics research
- Muscle activation and electromyography studies
- Multisensory perception and integration
- Cerebrovascular and Carotid Artery Diseases
- Hand Gesture Recognition Systems
- Neuroinflammation and Neurodegeneration Mechanisms
- Robot Manipulation and Learning
- Nonlinear Dynamics and Pattern Formation
- Pain Management and Treatment
- Human-Automation Interaction and Safety
- Motor Control and Adaptation
- Cardiovascular Health and Disease Prevention
- Blind Source Separation Techniques
- Medical Imaging and Analysis
University Medical Center Hamburg-Eppendorf
2014-2024
Universität Hamburg
2014-2024
Constructor University
2015-2024
Technical University of Munich
2023-2024
Focus (Germany)
2017-2024
Institute of Robotics
2023
Institut d'Investigació Biomèdica de Girona
2014
Hospices Civils de Lyon
2014
Addenbrooke's Hospital
2014
University of Cambridge
2014
Background and Purpose— In the early days after ischemic stroke, information on structural brain damage from MRI supports prognosis of functional outcome. It is rated widely by modified Rankin Scale that correlates only moderately with lesion volume. We therefore aimed to elucidate influence location (days 2–3) outcome 1 month using voxel-based symptom mapping. Methods— analyzed clinical data patients a prospective European multicenter stroke imaging study (I-KNOW). Lesions were delineated...
Abstract The study of brain-function relationships is undergoing a conceptual and methodological transformation due to the emergence network neuroscience development multivariate methods for lesion-deficit inferences. Anticipating this process, in 1998 Godefroy co-workers conceptualized potential four elementary typologies brain-behaviour named ‘brain modes’ (unicity, equivalence, association, summation) as building blocks able describe association between intact or lesioned brain regions...
Introduction The exploration of causal functional inferences on the basis deficits observed after neurological impairments is often based separate study gray matter regions or white tracts. Here, we aimed at jointly analysing contributions and by using domain motor function approach iterative estimated Multi-perturbation Shapley Analysis (MSA), a multivariate game-theoretical lesion inference method. Methods We analyzed scores assessed National Institute Health Stroke Scale (NIHSS) together...
Neurophysiological and behavioral studies suggest that the peripersonal space is represented in a multisensory fashion by integrating stimuli of different modalities. We developed neural network to simulate visual-tactile representation around right left hands. The model composed two networks (one per hemisphere), each with three areas neurons: are unimodal (visual tactile) communicate synaptic connections third downstream multimodal (visual-tactile) area. hemispheres interconnected...
Anatomical studies conducted in neurological conditions have developed our understanding of the causal relationships between brain lesions and their clinical consequences. The analysis lesion patterns extended across networks has been particularly useful offering new insights on brain-behavior relationships. Here we applied multiperturbation Shapley value Analysis (MSA), a multivariate method based coalitional game theory inferring regional contributions to specific behavioral outcomes from...
Lesion analysis reveals causal contributions of brain regions to mental functions, aiding the understanding normal function as well rehabilitation brain-damaged patients. We applied a novel lesion inference technique based on game theory, Multi-perturbation Shapley value Analysis (MSA), large clinical dataset. used MSA analyze patterns 148 acute stroke patients together with their neurological deficits, assessed by National Institutes Health Stroke Scale (NIHSS). The results revealed...
In the present work, a neural mass model consisting of four interconnected groups (pyramidal neurons, excitatory interneurons, inhibitory interneurons with slow synaptic kinetics, and fast kinetics) is used to investigate mechanisms which cause appearance multiple rhythms in EEG spectra, assess how these can be affected by connectivity among different populations. particular, we analyze circuit, composed three populations, each kinetics (hence, intrinsic rhythm). Results demonstrate that...
Lesion analysis aims to reveal the causal contributions of brain regions functions. Various strategies have been used for such lesion inferences. These approaches can be broadly categorized as univariate or multivariate methods. Here we analysed data from 581 patients with acute ischaemic injury, parcellated into 41 Brodmann areas, and systematically investigated inferences made by two methods via ground-truth simulations, in which defined a priori areas assumed function. Particularly,...
Knowledge of brain connectivity is an important aspect modern neuroscience, to understand how the realizes its functions. In this work, neural mass models including four groups excitatory and inhibitory neurons are used estimate among three cortical regions interests (ROIs) during a foot‐movement task. Real data were obtained via high‐resolution scalp EEGs on two populations: healthy volunteers tetraplegic patients. A 3‐shell Boundary Element Model head was current density derive in ROIs....
An original neural mass model of a cortical region has been used to investigate the origin EEG rhythms. The consists four interconnected populations: pyramidal cells, excitatory interneurons and inhibitory with slow fast synaptic kinetics, GABA(A, slow) GABA(A,fast) respectively. A new aspect, not present in previous versions, inclusion self-loop among interneurons. connectivity parameters populations have changed order reproduce different Moreover, two regions connected by using typologies...
Abstract White matter bundles linking gray nodes are key anatomical players to fully characterize associations between brain systems and cognitive functions. Here we used a multivariate lesion inference approach grounded in coalitional game theory (multiperturbation Shapley value analysis, MSA) infer causal contributions of white visuospatial orienting attention. Our work is based on the characterization patterns 25 right hemisphere stroke patients analysis their impact three...
The progressive prevalence of robots in human-suited environments has given rise to a myriad object manipulation techniques, which dexterity plays paramount role. It is well-established that humans exhibit extraordinary when handling objects. Such seems derive from robust understanding properties (such as weight, size, and shape), well remarkable capacity interact with them. Hand postures commonly demonstrate the influence specific regions on objects need be grasped, especially are partially...
Abstract The laminar organization of the cerebral cortex is a fundamental characteristic brain, with essential implications for cortical function. Due to rapidly growing amount high-resolution brain imaging data, great demand arises automated and flexible methods discriminating texture cortex. Here, we propose combined approach unsupervised supervised machine learning discriminate hierarchical in 2-photon microscopic neural image data mouse without observer bias, that is, prerequisite...
Abstract Lesion analysis aims to reveal causal contributions of brain regions functions. Various strategies have been used for such lesion inferences. These approaches can be broadly categorized as univariate or multivariate methods. Here we analysed data from 581 patients with acute ischemic injury, parcellated into 41 Brodmann areas, and systematically investigated the inferences made by two methods via ground-truth simulations, in which defined a priori areas assumed function....
Various strategies have been used for inferring brain functions from stroke lesions. We explored a new mathematical approach based on game theory, the so-called multi-perturbation Shapley value analysis (MSA), to assess causal function localizations and interactions multiple perturbation data. applied MSA dataset composed of lesion patterns 148 acute patients their National Institutes Health Stroke Scale (NIHSS) scores, systematically investigate influence different parameter settings...
Synchronization of neural activity in the gamma band, modulated by a slower theta rhythm, is assumed to play significant role binding and segmentation multiple objects. In present work, recent mass model single cortical column used analyze synaptic mechanisms which can warrant synchronization desynchronization columns, during an autoassociation memory task. The considers two distinct layers communicating via feedforward connections. first layer receives external input works as...
This paper describes a dynamical process which serves both as model of temporal pattern recognition in the brain and forward neuroimaging data. is considered at two separate levels analysis: algorithmic implementation levels. At an level, based on use Occurrence Time features. Using speech digit database we show that for noisy environments, these features rival standard cepstral coefficient defined using Weakly Coupled Oscillator (WCO) framework uses transient synchronization mechanism to...
This work describes an original neural network to simulate representation of the peripersonal space around one hand, in basal conditions and after training with a tool used reach far space. The model is composed two unimodal areas (visual tactile) connected third bimodal area (visual-tactile). Neurons integrate visual tactile information are activated only when stimulus falls inside Moreover, assumes that synapses linking neurons can be reinforced by Hebbian rule during training, but this...
In our research, a neural mass model consisting of four interconnected groups (pyramidal neurons, excitatory interneurons, inhibitory interneurons with slow synaptic kinetics, and fast kinetics) is used to investigate the mechanisms which cause appearance multiple rhythms in EEG spectra, assess how these can be affected by connectivity among different populations. First, we showed that single population, stimulated white noise, oscillate its intrinsic rhythm, position this rhythm finely...