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 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, "An RCT study showing few weeks of music lessons enhance audio-visual temporal processing"

This dataset includes data on behavioural outcomes for the audio-visual simultaneity judgement task and emotion recognition task used in the publication, "An RCT study showing few weeks of music lessons enhance audio-visual temporal processing". In this study, the authors investigated the effect of eleven weeks of piano lessons on audio-visual temporal processing and emotion recognition abilities in adults. The data is organised to facilitate replication of the analyses carried out in this study, which includes the raw data of the two tasks mentioned above collected from each participant over seven data-collection sessions. A 'Read-me-first' file is included in both data folders that introduce the structure of the data, the meaning of the file names, and how to interpret the raw data

Multi-Modal Dataset for "Towards Robust Surface Electromyography for Upper Limb Protheses using Machine Learning "

The dataset contains sEMG recordings from 10 anatomically intact participants. The data is separated into 13 trials, 11 of which were performed under manual intervention to vary one of the following parameters: Skin Temperature, Arm Position, Electrode Position, Impedance. Within each trial the participants perform 2 repetitions of 6 different hand grasps, held for 5 seconds. The data was recorded using custom-built sEMG sensors that also permitted the recording of skin temperature and skin-electrode impedance. Recordings of these features are provided with the data, recorded following the completion of a grasp. The data were recorded following approval granted by the University of Bath Research Ethics Approval Committee for Health, study ID: EP 23 019

Dataset supporting the paper: High trait anxiety enhances optimal integration of auditory and visual threat cues

This dataset includes data on behavioural outcomes for the audiovisual emotion recognition tasks used in the publication, "High Trait Anxiety Enhances Optimal Integration of Auditory and Visual Threat Cues". In this study the authors investigated perception of happy, sad and angry emotions within unimodal (audio- and visual-only) and audiovisual displays in adults with low vs. high levels of trait anxiety. The data is organised to facilitate replication of the analyses carried out in the aforementioned study, which includes two model-based analyses to elucidate how multisensory integration of emotional information operates in high trait anxiety. This was done by comparing performance in the audiovisual condition for both high and low trait anxiety groups to performance predicted by the Maximum Likelihood Estimation (MLE) model (Ernst & Banks, 2002; Rohde et al., 2016) and Miller’s Race Model (Miller, 1982; Ulrich et al., 2007). Data included in this dataset has already been pre-processed (i.e., univariate outliers have already been identified and dealt with)

Dataset for 'Exercise snacking to improve muscle function in healthy older adults: A pilot study'

This dataset contains baseline participant characteristics (age, sex, height, weight, Short Physical Performance Battery score, 60 second sit-to-stand score, habitual physical activity level (provided as daily energy expenditure/basal metabolic rate and time spent in age determined physical activity thresholds), and dietary intake of carbohydrate, protein, and fat, ant total energy intake). Pre- and post-intervention (28-days of exercise snacking or control) data is provided for the following variables: physical function characteristic (60 second sit-to-stand score and associated rating of perceived exertion for the test, and velocity, force, and power variables of leg pressing performance), anthropometric characteristics (calf and thigh muscle cross-sectional areas, and total lean mass, leg lean mass, and percentage body fat), and physical activity level and daily energy intake with total carbohydrate, fat, and protein intake relative to body mass. This dataset is to accompany the manuscript 'Exercise snacking to improve muscle function in healthy older adults: A pilot study' submitted for publication to the Journal of Aging Research

Dataset for 'Exercise snacking to improve muscle function in healthy older adults: A pilot study'

This dataset contains baseline participant characteristics (age, sex, height, weight, Short Physical Performance Battery score, 60 second sit-to-stand score, habitual physical activity level (provided as daily energy expenditure/basal metabolic rate and time spent in age determined physical activity thresholds), and dietary intake of carbohydrate, protein, and fat, ant total energy intake). Pre- and post-intervention (28-days of exercise snacking or control) data is provided for the following variables: physical function characteristic (60 second sit-to-stand score and associated rating of perceived exertion for the test, and velocity, force, and power variables of leg pressing performance), anthropometric characteristics (calf and thigh muscle cross-sectional areas, and total lean mass, leg lean mass, and percentage body fat), and physical activity level and daily energy intake with total carbohydrate, fat, and protein intake relative to body mass. This dataset is to accompany the manuscript 'Exercise snacking to improve muscle function in healthy older adults: A pilot study' submitted for publication to the Journal of Aging Research

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)