View clinical trials related to Pain.
Filter by:The aim of this project is investigation of patients' with chronic pain self-rated quality of life, ADL function and level of pain before and after 3 months of intervention with N-3 fatty acids from krill in combination with vitamin D3. Furthermore, the compliance of the patients and the effect of the intervention on the patients' vitamin D status and cardiovascular risk factors are studied.
People with a Spinal Cord Injury can develop chronic pain within months of the injury. Up to 80% of the patients will develop chronic pain called "central pain" and describe the pain as: burning, stabbing, or "like electricity." Central pain mechanism is unknown and therefore treatment is currently not effective. It is hypothesized that chronic pain is associated with impaired function of the systems regulating pain, however, this hypothesis has not been tested among Spinal Cord Injury patients. Presence of such a connection, between the regulating system dysfunction and central pain, will help both predicting the risk of central pain and develop a treatment. The current research objective is to make several sensory measurements which will measure the functioning mechanisms of regulation and control of the pain. These measurements are accepted throughout the world and are based on psychophysical assessment of patients. these Measurements are designed to assess whether Spinal Cord Injury chronic central pain patients demonstrate impairment in the regulation of pain. Finding such a link between central pain and impaired regulation could shed light on the mechanism of central pain. In addition, these measurements are designed to assess whether fresh spinal cord injury patients that have not yet developed central pain demonstrate impairment in the regulation of pain immediately after the injury. By repeated assessments of pain regulation capabilities, which will be made to fresh Spinal Cord Injury patients during the first months of injury, and comparing the results of these measurements between those who will develop center pain and those who will not, we could identify indicators for predicting the risk of central pain. Another goal of the study is to investigate the efficacy of central pain treatment, using a TENS, when the parameters of the TENS treatment will be built according to the level of functioning of the regulating systems of the individual.
Previous clinical observations showed that Botulinum A toxin (BoNT/A) has also an antinociceptive effect and can control the neuropathic pain. In the urologic field, recent in in vitro and in in vivo studies demonstrated that the neurotoxin is able to inhibit the release of several neurotransmitters from the bladder afferent fibers and urothelium. These neurotrasmitters as SP, CGRP, ATP, NGF and Prostaglandins are involved in neurogenic inflammation. Thus, it is reasonable to hypothesize that patients with affected by painful bladder syndrome (PBS) could benefit from BoNT/A intravesically administered. The aim of the study is to investigate the clinical and urodynamic effects of an intravesical treatment with BoNT/A in patients affected by PBS associated with increased urinary frequency, who are refractory to conventional treatments. This treatment will be compared to bladder over distention, which is considered a conventional therapy.
The purpose of this study is to determine whether the hyperbaric oxygen treatment reduces pain and improve the life quality in trigeminal neuralgia patients.
The objective of this study is to use high-frequency brain signals (HFBS) to localize functional brain areas and to characterize HFBS epilepsy, migraine and other brain disorders. We hope to build the world's first high-frequency MEG/MEG/ECoG/SEEG database for the developing brain. HFBS include high-gamma activation/oscillations, high-frequency oscillations (HFOs), ripples, fast ripples, and very high frequency oscillations (VHFOs) in the brain. To reach the goals, we have developed several new MEG/EEG methods: (1) accumulated spectrogram; (2) accumulated source imaging; (3)frequency encoded source imaging; (4) multi-frequency analysis; (5)artificial intelligence detection of HFOs; (6) Neural network analysis (Graph Theory); and (7) others (e.g. ICA, virtual sensors).