Prattkey4488
The decoding of facial expressions of pain plays a crucial role in pain diagnostic and clinical decision making. PF 429242 research buy For decoding studies, it is necessary to present facial expressions of pain in a flexible and controllable fashion. Computer models (avatars) of human facial expressions of pain allow for systematically manipulating specific facial features. The aim of the present study was to investigate whether avatars can show realistic facial expressions of pain and how the sex of the avatars influence the decoding of pain by human observers.
For that purpose, 40 female (mean age 23.9 years) and 40 male (mean age 24.6 years) observers watched 80 short videos showing computer-generated avatars, who presented the five clusters of facial expressions of pain (four active and one stoic cluster) identified by Kunz and Lautenbacher (2014). After each clip, observers were asked to provide ratings for the intensity of pain the avatars seem to experience and the certainty of judgement, i.e. if the shown expression tr influenced by the avatars' sex, which resembles known observer biases for humans. The use of avatars appeared to be a suitable method in research on the decoding of the facial expression of pain, mirroring closely the known forms of human facial expressions.
Chronic non-malignant pain (CNP) is a significant healthcare problem with considerable consequences for patients, relatives and society. CNP is a lifelong condition that calls for acceptance and self-management. Existing research indicates that the involvement of relatives improves patients' and relatives' management of CNP, but the area is, at present, scarcely described. Research is required to obtain knowledge about the patients' experiences, needs and preferences concerning the involvement of their relatives within the frame of CNP rehabilitation, which is the aim of this study.
The study applied a qualitative phenomenological-hermeneutic design conducting individual interviews with 10 patients with CNP from three selected Multidisciplinary Pain Centres (MPC). The analysis was guided by Paul Ricoeur's philosophy of interpretation of the text.
The findings illuminated the patients' perspectives on the involvement of relatives within three key themes, each having two or three sub-themes. The analysis eness of FSN when involving relatives in the rehabilitation of CNP.During COVID-19 pandemic, a wide variety of stroke typologies have been described in patients affected by SARS-CoV-2. Investigating the case reports of acute stroke in COVID-19 patients, published since the beginning of the pandemic, we tried to trace the pathogenic mechanisms of stroke during SARS-CoV-2 infection. We conducted a systematic review analyzing demographic data, cerebrovascular risk factors, NIHSS score, vascular territory involvement and laboratory findings of 168 patients described in 89 studies, from a pool of 1243 records. Based on our results, we have identified different stroke profiles (1) cerebral large vessel disease (CLVD) profile with a low disability, simultaneous onset of COVID-19 and stroke symptoms, good outcome and low serum levels of D-dimer and CRP; (2) intracranial bleeding (IB) profile with high disability, poor outcome and low levels of serum markers of inflammation and coagulopathy; (3) CLVD profile with a short time-lapse between COVID-19 symptoms and stroke onset, high neurological disability and very high systemic inflammatory markers; (4) multiple thrombo-embolic disease (MTED) profile with older patients, many comorbidities, disabling stroke, poor outcome, evident alteration of coagulation tests and high serum levels of both D-dimer and CRP. We therefore summarized these different profiles in a spectrum similar to that of visible light, where the violet-blue band included IB and CSVD with low inflammation and prothrombotic activity, the green-yellow band included CLVD with high inflammation and moderate prothrombotic activity and the orange-red band for MTED with moderate-high levels of inflammation and very high prothrombotic activity.Depression continues to carry a major disease burden worldwide, with limitations on the success of traditional pharmacological or psychological treatments. Recent approaches have therefore focused upon the neurobiological underpinnings of depression, and on the "individualization" of depression symptom profiles. One such model of depression has divided the standard diagnostic criteria into four "depression subtypes", with neurological and behavioral pathways. At the same time, attention has been focused upon the region of the brain known as the "default mode network" (DMN) and its role in attention and problem-solving. However, to date, no review has been published of the links between the DMN and the four subtypes of depression. By searching the literature studies from the last 20 years, 62 relevant papers were identified, and their findings are described for the association they demonstrate between aspects of the DMN and the four depression subtypes. It is apparent from this review that there are potential positive clinical and therapeutic outcomes from focusing upon DMN activation and connectivity, via psychological therapies, transcranial magnetic stimulation, and some emerging pharmacological models.
This randomized study was aimed at evaluating the additional analgesic effect of Okada Purifying Therapy (OPT) when administered in combination with duloxetine in patients with Temporomandibular Disorders (TMDs) and Fibromyalgia (FM).
Patients with TMDs visited at Department of Oral and Maxillofacial Sciences, Sapienza University of Rome who were diagnosed with FM were selected for the study. The final sample was composed of 31 patients 15 patients were treated only with duloxetine (Group I) and 16 patients underwent also OPT treatment (Group II), for eight weeks. Craniomandibular index, total tenderness score, Brief Pain Inventory Modified Short Form, Fibromyalgia Impact Questionnaire, Beck Depression Inventory and State and Trait Anxiety Inventory-1 were assessed at the beginning (T0), during the course (T1) and after therapy (T2). Descriptive and inferential statistics were performed.
In all the data analyzed, both groups showed animprovement in particular between T0 and T1. No statistically significant differences were observed between the two groups during the trial, except for the interaction between treatment and time as to the ability of walking at the BPI-I (F=7.
