A5031867263- Neurological disorders and treatments
- Functional Brain Connectivity Studies
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Data Visualization and Analytics
- Parkinson's Disease Mechanisms and Treatments
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Advanced Text Analysis Techniques
- 3D Shape Modeling and Analysis
- Digital Humanities and Scholarship
- Robotics and Sensor-Based Localization
- Photoreceptor and optogenetics research
- Advanced Database Systems and Queries
- Data Mining Algorithms and Applications
- Medical Imaging Techniques and Applications
- Research Data Management Practices
- Music and Audio Processing
- Web Data Mining and Analysis
- Rocket and propulsion systems research
- Digital and Traditional Archives Management
- Gaze Tracking and Assistive Technology
Ludwig-Maximilians-Universität München
2024-2025
University of Toronto
2022-2024
University Health Network
2022-2024
University of Tübingen
2018-2024
Krembil Research Institute
2023-2024
LMU Klinikum
2024
Toronto Public Health
2024
Wellcome Centre for Integrative Neuroimaging
2023
University of Oxford
2023
Ontario Brain Institute
2022-2023
Deep brain stimulation procedures offer an invaluable opportunity to study disease through intracranial recordings from awake patients. Here, we address the relationship between single-neuron and aggregate-level (local field potential; LFP) activities in subthalamic nucleus (STN) thalamic ventral intermediate (Vim) of patients with Parkinson's (n = 19) essential tremor 16), respectively. Both disorders have been characterized by pathologically elevated LFP oscillations, as well increased...
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) produces an electrophysiological signature called evoked resonant neural activity (ERNA); a high-frequency oscillation that has been linked to treatment efficacy. However, single-neuron and synaptic bases ERNA are unsubstantiated. This study proposes is subcortical neuronal circuit DBS-mediated engagement basal ganglia indirect pathway network. In people with Parkinson's disease, we: (i) showed each peak waveform associated...
The number of available 3D models in various areas increase steadily. Effective methods to search for those by content, rather than textual annotations, are crucial. For this purpose, we propose a new approach content based model retrieval hand-drawn sketch images. This retrieve visually similar mesh from large database consists three major steps: (1) suggestive contour renderings different viewpoints compare against the user drawn sketches; (2) descriptor computation analyzing diffusion...
Deep brain stimulation of the subthalamic nucleus (STN-DBS) effectively alleviates motor fluctuations in Parkinson's disease (PD). Optimal electrode placement and effective programming significantly influence outcomes. From a patient's perspective, DBS should relieve symptoms while avoiding side effects. However, there is lack routines that consider patients' subjective feedback for parameter adjustment. This study assessed usefulness ratings as programming. We analyzed 260 settings from 11...
Sketch-based 3D shape retrieval has become an important research topic in content-based object retrieval. The aim of this track is to measure and compare the performance sketch-based methods implemented by different participants over world. based on a new benchmark, which contains two types sketch queries versions target models. In track, 7 runs have been submitted 5 groups their accuracies were evaluated using commonly used metrics. We hope that its corresponding evaluation code,...
Abstract Background Beta‐frequency oscillations (13–30 Hz) are a subthalamic hallmark in patients with Parkinson's disease, and there is increased interest their utility as an intraoperative marker. Objectives The objectives of this study were to assess whether beta activity measured directly from macrocontacts deep brain stimulation leads could be used (a) electrophysiological approach for guiding lead placements (b) physiologically informed delivery. Methods Every millimeter along the...
Bilateral cyclic high frequency deep brain stimulation (DBS) of the anterior nucleus thalamus (ANT) reduces seizure count in a subset patients with epilepsy. Detecting stimulation-induced alterations pathological networks may help to unravel underlying physiological mechanisms related effective delivery and optimize target engagement.We acquired 64-channel electroencephalography during ten ANT-DBS cycles (145 Hz, 90 μs, 3-5 V) 1-min ON followed by 5-min OFF detect changes cortical...
Deep brain stimulation (DBS) with electric field steering may avoid areas responsible for side effects. This prospective randomized cross-over trial compared omnidirectional (OS) and directional (DS) subthalamic DBS in 19 patients. Electromyographically measured rigidity was the primary outcome. Motor non-motor scores were secondary outcomes. There no significant differences between OS DS. In acute setting, both conditions improved motor to stimulation. symptoms after 3 weeks of relative...
High power solid-state Li batteries (SSLB) are hindered by the formation of dendrite-like structures at high current rates. Hence, new design principles needed to overcome this limitation. By introducing dislocations, we aim tailor mechanical properties in order withstand stress leading penetration and resulting a short circuit crack-opening mechanism. Such defect engineering, furthermore, appears enable whisker-like metal electrodes for high-rate plating. To reach these goals, challenge...
Since 3D models are becoming more popular, the need for effective methods capable of retrieving is crucial. Current require an example model as query. However, in many cases, such a query not easy to get. An alternative using hand-drawn sketch In this work, we present new keyshape based approach named HKO-KASD rough sketches queries. Our comprises two general steps. First, global descriptor used determine appropriate viewpoint each model. Second, apply local matching process final ranking...
Since 3D models are becoming more popular, the need for effective methods capable of retrieving crucial. Current require an example model as query. However, in many cases, such a query is not easy to get. An alternative using hand-draw sketch We present structure-based local approach (STELA) rough It consists four steps: get abstract image, detect keyshapes, compute descriptor, and match descriptors. represent by means suggestive contours. Our proposal includes additional step aiming at...
For any HCI system, it would be a great advantage if was aware of the attentional state its user: Is he or she paying attention to external stimuli provided by user's environment is user focusing his her on internal mental tasks? In this paper, we propose model for discrimination and using Electroencephalography. We describe experiment conducted collect data attention, our setup classification discuss classifications results.
Recently, there has been an interest in methods for filtering large scatter plot spaces interesting patterns. However, user interaction remains crucial starting explorative analysis a space. We introduce approach search and navigation sets of diagrams. By means sketch-based query interface, users can start the exploration process by providing visual example pattern they are interested in. A shadow-drawing provides suggestions possibly relevant patterns while drawing takes place, supporting...
Today's digital libraries (DLs) archive vast amounts of information in the form text, videos, images, data measurements, etc. User access to DL content can rely on similarity between metadata elements, or itself (content-based similarity). We consider problem exploratory search large DLs time-oriented data. propose a novel approach for overview-first exploration collections based user-selected properties. In 2D layout representing entities selected property are laid out their with respect...
Increasing amounts of data are collected in many areas research and application. The degree to which this can be accessed, retrieved, analyzed is decisive obtain progress fields such as scientific or industrial production. We present a novel method supporting content-based retrieval exploratory search repositories multivariate data. In particular, functional dependencies key characteristic that researchers often interested in. Our methods able describe the form dependencies, e.g.,...
Identifying functional biomarkers related to treatment success can aid in expediting therapy optimization, as well contribute a better understanding of the neural mechanisms treatment-resistant depression (TRD) and subcallosal cingulate deep brain stimulation (SCC-DBS).Magnetoencephalography data were obtained from 16 individuals with SCC-DBS for TRD 25 healthy subjects. The first objective study was identify region-specific oscillatory modulations that both (i) discriminate (with OFF)...
Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found are be understood context belonging categorical, numerical or textual metadata which given for elements. While often not part clustering process, such play an important role need considered during interactive exploration process. Traditionally, linked-views allow relate (or loosely speaking: correlate) with other...
Abstract Communication between neural structures is a topic of much clinical and scientific interest has been linked to variety behavioural, cognitive, psychiatric measures. Here, we introduce novel effective connectivity measure, termed the directional absolute coherence (DAC). Combining aspects magnitude squared coherence, imaginary phase slope index, DAC provides an estimate that resistant volume conduction, encapsulates directionality communication, bound interval –1 1. To highlight...
Neural communication across different spatial and temporal scales is a topic of great interest in clinical basic science. Phase-amplitude coupling (PAC) has attracted particular due to its functional role wide range cognitive motor functions. Here, we introduce novel measure termed the direct modulation index (dMI). Based on classical index, dMI provides an estimate PAC that (1) bound absolute interval between 0 +1, (2) resistant against noise, (3) reliable even for small amounts data. To...
In Spain the price of all ibuprofen 600 mg tablet generic products is same due to reimbursement existing rules so for patient there not any economic incentive choose a particular one. Bearing in mind that quality should be similar, it could questioned if differences preferences evaluated as sales related on their pharmaceutical properties. The aims this work were study variability characteristics marketed bioequivalent formulations and its impact preferences.Thirty-six batches corresponding...
Abstract Recently, neuroscience has seen a shift from localist approaches to network-wide investigations of brain function. Neurophysiological signals across different spatial and temporal scales provide insight into neural communication. However, additional methodological considerations arise when investigating dynamics rather than local effects. Specifically, larger amounts data, investigated higher dimensional space, are necessary. Here, we present FiNN (Find Networks), novel toolbox for...