Active clinical trials for "Headache Disorders"

In the Chinese Headache and Vertigo Registration Study, patients aged 4-99 years with headache (primary headache and secondary headache such as migraine and tension type headache), vertigo (vertigo diseases such as vestibular migraine) and chronic pain (fibromyalgia and other diseases) were collected. The biomarkers, imaging features, right-to-left shunt of the heart (lung), genetic characteristics, treatment, and outcome (in relation to other diseases) of headache-related diseases were studied, and long-term follow-up was planned.

The main purpose of this study is to evaluate the efficacy of erenumab in participants with chronic cluster headache.

The prevalence of chronic primary headache in Systemic Lupus Erythematosus (SLE) is 54.4%. Several studies have shown that the use of transcranial direct current stimulation (tDCS) at the primary motor cortex (M1), primary sensory cortex (S1), or dorsolateral prefrontal cortex (DLPFC) is effective as adjuvant therapy in primary headache. Using a double-blind design, this clinical trial study will investigate the effectiveness of tDCS as an adjuvant therapy in chronic daily headaches in SLE, by also comparing the effectiveness of administration in the M1, S1, and DLPFC. The primary endpoint that will be assessed is the frequency of headaches per week, with the secondary endpoints are the degree of headache, quality of life, sleep quality, level of depression, and use of analgesics.

Chronic headaches are a major cause of disability among adolescents. Cannabis products have supported the management of headaches in adults and may play a role in pediatric chronic pain. We propose a multisite, open-label, tolerability study conducted across three centers in Canada of Cannabidiol-enriched Cannabis Herbal Extract in adolescents (ages 14 to 17 years old) with chronic headaches. The study includes a one month baseline assessment, four months of escalating treatment doses and a weaning period. Our primary outcome is tolerability defined as the number and severity of reported adverse events.

The purpose of this non interventional research is to set up a French database, initially for 3 years, of patients suffering from refractory chronic headache disorders (chronic migraine, cluster headache, chronic paroxysmal hemicranias, SUNCT syndrome, hemicrania continua, cervicogenic headache disorders), and treated by occipital nerves stimulation. Every team using this neuromodulation approach in France is likely to participate in the network. Fifty patients a year are expected. They will be informed about data which are collected and why they are collected. The data will come from medical files and questionnaires filling out by the patients. The data will be collected on a case report form adapted to each refractory chronic headache disorder. The case report form pages will be faxed to the coordinating team who will enter the data in the database and analyse the data in a descriptive manner. These data are social and demographic data, medical data (headache features, headache functional and emotional impact, medications, and concomitant medical conditions), technical data (kind of electrodes and implantable pulse generator used, stimulation parameters chosen), and safety data. This research should provide an update on practices, an evaluation of the efficacy and long term safety of occipital nerves stimulation, and perhaps help in identifying response predictive factors to this neuromodulation approach.

The pathophysiological mechanisms that underlie primary headache disorders, such as migraine and cluster headache (CH), are complex and not yet fully clarified. While there is today little doubt that activation of the trigeminovascular system (TGVS) is responsible for the headache pain, the primary mechanisms, probably centrally mediated, leading to its activation and the generation of pain are still largely obscure. The trigeminal system is supposed to play a central role not only in migraine but also in cluster headache pathology. In vitro studies have demonstrated the expression of BDNF in trigeminal ganglion neurons. BDNF release is induced by trigeminal stimulation and nociceptive inputs. BDNF is a member of the neurotrophin family and has been recognized as an important modulator of nociceptive pathways. Interestingly, BDNF is co-expressed with CGRP in trigeminal ganglion neurons. CGRP is one of the key molecules in migraine and cluster headache pathogenesis. BDNF is an important marker of neuronal plasticity. It has also been associated with pain processing. Increased BDNF levels are observed in chronic pain syndromes. In order to understand the role of BDNF associated with other factors such as gender on headache attacks we aimed to determine whether migraine and cluster headache is correlated with brain derived neurotrophic factor (BDNF) level, gender and age.

The research collects spoken descriptions of headache disorders by participants with headache disorders. The speech recordings are analyzed by natural language processing (NLP) tools to analyse linguistic properties of the texts and to obtain insight into the potential of NLP machine learning models for the recognition of headache syndromes of the participants.

The goal of this observational analytic study with a cohort desing is to evaluate the epidemiology, risk factors and clinical phenotype of headache during Influenza infection. The study will be done in collaboration with the Healthcare Sentinel Network of Castile and Leon (Red Centinela Sanitaria de Castilla y León, RCSCYL) and the National Influenza Center of Valladolid (CNGV). First, the historical data of the VIGIRA network of the 2010-2022 flu seasons will be analyzed, assessing the epidemiology and risk factors of headache during Influenza infection; and second, a study with a case series design with prospective follow-up will be carried out for the incident cases of the 2022-2023 and 2023-2024 Influenza seasons, evaluating the clinical phenotype and the duration of the headache.

Headache disorders are among the most prevalent medical conditions worldwide. The diagnosis of headache disorders is based on medical history taking. Digital solutions such as natural language processing (NLP) may be of aid to understand the linguistic aspects of headache attack and headache related disability descriptions by patients. Participants will provide a written description of their headache disorder. The results will hopefully lead to a better understanding of the potential use of NLP in headache disorders.

The purpose of this study was to investigate cultural adaptation, reliability and validity of the Turkish version of the Headache Disability Questionnaire (HDQ).