Who is more prone to experimentally-induced central sensitization amongst subjects with temporomandibular disorders and healthy individuals?

Title Who is more prone to experimentally-induced central sensitization amongst subjects with temporomandibular disorders and healthy individuals? Introduction Central sensitization (CS) is increasingly understood as a main contributor to temporomandibular disorders (TMD). Furthermore, a predisposition to develop more CS in response to nociceptive input may play a role in the maintenance of pain. The aim of this study is to assess the response of TMD subjects and healthy individuals to high frequency stimulation (HFS). HFS is an experimental procedure inducing CS manifesting itself by secondary hyperalgesia, a large area skin surrounding the stimulated site becoming more sensitive to mechanical pinprick stimuli. Methods To be included TMD subjects will have to fulfil the DC/TMD criteria; they may present with other musculoskeletal disorders but TMD will have to be their main complain. Exclusion criteria will include a history of orofacial surgery and any coexisting psychiatric, inflammatory, neurological or metabolic comorbidities. HFS will be used to induce CS in subjects with TMD and healthy controls. The spatial extent and the duration of secondary hyperalgesia will be measured. Pain ratings, spontaneous pain and allodynia in the area of secondary hyperalgesia will also be assessed. These parameters will be used to compare participants and identify potential clusters. Correlations between the response to HFS and a range of secondary outcomes will be assessed in subjects with TMD, including pain distribution, conditioned pain modulation, pressure pain thresholds and physical symptoms (Central Sensitization Inventory, Symptom Severity Scale, Widespread Pain Index, Graded Chronic Pain Scale and Patient Health Questionnaire-15), functional limitations (Jaw Functional Limitation Scale), and psychological factors (Generalized Anxiety Disorder-7, patient health questionnaire-9). Discussion It is expected that some individuals in both groups will develop more CS in response to nociceptive input. Characteristics of secondary hyperalgesia may be correlated with the secondary outcomes in subjects with TMD. HFS has the potential to be a new, safe, and well-controlled technique assessing the tendency to develop CS in TMD, which could later be taken into account for patient management. Process evaluation The protocol is about to be submitted to an ethical committee. In parallel, the validity of measuring the area and the extent of secondary hyperalgesia induced by HFS is being studied in healthy subjects. The success of these steps is mandatory before conducting a power analysis and launching the study

Dataset for "Parameter Reduction and Optimisation for Point Cloud and Occupancy Mapping Algorithms"

In the applications of occupancy mapping, the scene to be explored is normally large and objects are of irregular shapes. In this case, it is difficult to evaluate the performance of a mapping approach since the ground truth can hardly be obtained. This dataset aims to provide small measured scenes with ground truths for evaluation purposes. Videos are recorded in .svo files. These files can be opened with the tools provided in ZED SDK which can be downloaded at Stereo Labs website (https://www.stereolabs.com). Images in the videos can be extracted using the API in ZED SDK and the camera parameters can also be accessed by ZED API. Ground truth files are in .ot format. These files can be viewed by octovis package. To install octovis, run 'sudo apt-get install octovis' in Ubuntu. Camera trajectories produced by ORB-SLAM and keyframe poses produced by ORB-SLAM are in .txt files. Most text editors can open files of this type

Dataset supporting the paper: Anxiety Biases Audiovisual Processing of Social Signals

This dataset includes data on behavioural outcomes for the audiovisual emotion recognition tasks used in the publication, "Anxiety Biases Audiovisual Processing of Social Signals". In this study the authors investigated perception of happy and angry emotions within unimodal (audio- and visual-only), congruent and incongruent audiovisual displays in healthy adults with higher and lower levels of trait anxiety. The data is organised to facilitate replication of the ANCOVA analyses carried out in the aforementioned study. Data included in this dataset has already been pre-processed (i.e., univariate outliers have already been identified and dealt with)

Dataset for "ExMaps: Long-Term Localization in Dynamic Scenes using Exponential Decay"

This is the dataset that accompanies our publication "ExMaps: Long-Term Localization in Dynamic Scenes using Exponential Decay”. The data was collected over a period of time using a custom ARCore based android app. It depicts a retail aisle. The images can be found in the sub-folders “only_jpgs”. The rest of the ARCore data such as camera poses can be found in “data_all” subfolders for each day data was collected for. The data can be used to run the benchmarks from the original paper. It can also be used to reconstruct points clouds using SFM (structure from motion) software

Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality"

This is the data repository for the paper "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality" by Javier Dehesa, Andrew Vidler, Christof Lutteroth and Julian Padget, presented at CHI 2020 conference in Honolulu, HI, USA. See the publication for details. The archives gesture_recognition_data.zip and gesture_recognition_code.zip contain respectively the data and code for the gesture recognition component. Similarly, the archives animation_data.zip and animation_code.zip contain respectively the data and code for the animation component. Instructions about how to use these are provided within them. The archive user_studies.zip contains information about our user studies. The file questionnaire_study.jasp and interactive_study.jasp contain the data and analysis of the questionnaire and interactive studies respectively. They can be consulted with the open source tool JASP (https://jasp-stats.org/). The video questionnaire_conditions.mp4 shows the full videos used as the three conditions for the questionnaire study

Dataset for "A Novel Neural Network Architecture with Applications to 3D Animation and Interaction in Virtual Reality"

This is the dataset for the doctoral thesis "A Novel Neural Network Architecture with Applications to 3D Animation and Interaction in Virtual Reality" by Javier de la Dehesa Cueto-Felgueroso. See the original document for details. The dataset is structured in three parts. The files `gfnn_code.zip` and `gfnn_data.zip` contain the code and data for the experiments with grid-functioned neural networks discussed in chapter 3 of the thesis. The files `quadruped_code.zip` and `quadruped_data.zip` contain the code and data for the quadruped locomotion experiments and user study discussed in chapter 4. The files `framework_code.zip` and `framework_data.zip` contain the code and data for the human-character interaction framework experiments and user studies discussed in chapter 5. Each pair of files should be decompressed in the same directory, but separate from the other parts. Further details and instructions for each of the parts can be found within the corresponding compressed files

Supplement for "Me vs. Super(wo)man: Effects of Customization and Identification in a VR Exergame"

This supplement describes an approach that can be used to create an “enhanced“ avatar based on a) a realistic, current avatar (R) and b) an idealised, desired future avatar (I) of a user. The aim of the approach is to create avatars that reflect “enhancements” of the realistic avatar along a realistic trajectory. The realistic avatar is used as a starting point, and the idealised avatar as a “goal”

Dataset for "Breaking Wave Imaging using Lidar and Sonar"

This dataset comprises the primary data used in the paper "Breaking Wave Imaging using Lidar and Sonar". The data consists of water surface elevation data throughout the surf and swash zone of a prototype-scale laboratory beach collected at the GWK Large Wave Flume, Hanover using a Lidar array and concurrent acoustic intensity data obtained using a bed-mounted multibeam. The goal of the work was to image the bubble plumes from breaking waves from above and below. The dataset is composed of one .mat file, which was generated with the MATLAB software. The content of each file is described in the readme file and is included in the structure data as well