34 results match your criteria: "Norwegian Centre for Headache Research[Affiliation]"

Background: People with multiple sclerosis (MS) have an increased risk of migraine. However, little is known about migraine and other headaches during the prodromal phase (before MS symptom onset). Our objective was to study the risk of migraine in women with MS before MS onset.

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Background: There is a lack of up-to-date information on the prevalence and burden of headache in Norway. Here we describe the methods and validation of the diagnostic tool of the PopHEAD study, a study designed to determine the prevalence and burden of migraine, tension-type headache, and medication-overuse headache.

Method: PopHEAD is a Norwegian population-based cross-sectional study conducted in Vestfold and Telemark County in 2023.

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After mild traumatic brain injury (mTBI), a subgroup of individuals experience persistent post-concussion symptoms (PPCS) that include headaches, cognitive difficulties, and fatigue. The aim of this preliminary study was to investigate possible effects associated with metacognitive therapy (MCT) on PPCS, maladaptive coping strategies, and positive and negative metacognitive beliefs following mTBI. A pre-post design supplemented with single-case A-B replication series to assess potential MCT mechanisms was used.

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Endogenous pain modulation after sleep restriction in migraine: a blinded crossover study.

J Headache Pain

October 2024

Department of Neuromedicine and Movement Sciences, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, 7491, Norway.

Background: Patients with migraine are vulnerable to insufficient sleep, but the impact of sleep restriction is largely unknown. In addition, the importance of sleep may be different in patients with migraine who mostly have attack onsets during sleep, so called sleep-related migraine, compared to patients with non-sleep-related migraine. In this study we investigate the effect of sleep restriction on endogenous pain modulation in patients with migraine and healthy controls.

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Article Synopsis
  • - This study aimed to explore the relationship between epilepsy and migraine in a large general population, using validated diagnostic methods instead of previous less reliable approaches.
  • - It analyzed data from over 65,000 participants, finding no overall increase in migraine prevalence among those with epilepsy compared to those without; however, a higher prevalence of migraine was found in epilepsy patients with intense headache frequency.
  • - The conclusion indicates that while migraine occurs at similar rates in both groups, those with epilepsy are more likely to experience frequent migraines (7 or more days a month).
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  • The study aimed to analyze migraine medication usage across the entire Norwegian population from 2010 to 2020 using data from the Norwegian Prescription Database.
  • A total of 327,904 individuals were identified as migraine medication users, with findings showing a slight increase in prevalence and a notable rise in the use of preventive treatments, particularly among women.
  • The research highlights that while overall migraine treatment prevalence is low, triptan overuse is common in women, prompting the need for clinicians to be more proactive in preventing this issue and tailoring treatments effectively.
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Background And Methods: In this narrative review, we introduce key artificial intelligence (AI) and machine learning (ML) concepts, aimed at headache clinicians and researchers. Thereafter, we thoroughly review the use of AI in headache, based on a comprehensive literature search across PubMed, Embase and IEEExplore. Finally, we discuss limitations, as well as ethical and political perspectives.

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Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15-90. The effects of dementia, mild cognitive impairment, Parkinson's disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals.

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Objective: The long-term consequences of traumatic brain injury (TBI) on brain structure remain uncertain. Given evidence that a single significant brain injury event increases the risk of dementia, brain-age estimation could provide a novel and efficient indexing of the long-term consequences of TBI. Brain-age procedures use predictive modeling to calculate brain-age scores for an individual using structural magnetic resonance imaging (MRI) data.

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Background: Data from some population-based studies have indicated an increased risk of atrial fibrillation (AF) among patients with migraine, particularly among individuals with migraine with aura. The present study aimed to assess the association between primary headache disorders and AF.

Methods: In a population-based 9-year follow-up design, we evaluated the questionnaire-based headache diagnosis, migraine and tension-type headache (TTH) included, collected in the Trøndelag Health Study (HUNT3) conducted in 2006-2008, and the subsequent risk of AF in the period until December 2015.

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Background: Acquired brain injury (ABI) often leads to persisting somatic, cognitive, and social impairments. Cognitive impairments of processing speed, sustained attention, and working memory are frequently reported and may negatively affect activities of daily living and quality of life. Rehabilitation efforts aiming to retrain these cognitive functions have often consisted of computerized training programs.

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Article Synopsis
  • Researchers developed machine learning models to predict citation counts and the translational impact of headache research, focusing on their inclusion in guidelines or policy documents.
  • They analyzed data from 8,600 publications across three headache journals, using various machine learning techniques to classify citation count intervals and assess translational impact.
  • The best model achieved an impressive predictive accuracy with bibliometric data being key for citation counts, while a combination of bibliometric data and publication content was most effective for predicting translational impact.
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Background: Identifying individuals with intracranial injuries following mild traumatic brain injury (mTBI), i.e. complicated mTBI cases, is important for follow-up and prognostication.

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Identification and characterization of migraine in pregnancy: A Norwegian registry-based cohort study.

Cephalalgia

April 2024

PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.

Background: Migraine is common in women of reproductive age. Migraine's episodic manifestation and acute and preventive pharmacological treatment options challenge studying drug safety for this condition during pregnancy. To improve such studies, we aimed to develop algorithms to identify and characterize migraines in electronic healthcare registries and to assess the level of care.

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The effectiveness of analgesics can be increased if synergistic behavioural, psychological, and pharmacological interventions are provided within a supportive environment.

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ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.

Neuroimage Clin

June 2024

Department of Psychology, Penn State University, State College, PA, USA; Department of Neurology, Hershey Medical Center, PA, USA. Electronic address:

Article Synopsis
  • Resting state functional magnetic resonance imaging (rsfMRI) is a valuable tool for studying brain connectivity, particularly in relation to neurological disorders like traumatic brain injury (TBI), but there is a lack of standardization in how it is used across different research groups.
  • This narrative review aims to tackle key methodological challenges in rsfMRI research for TBI by providing recommendations for data acquisition, processing, and analysis to enhance the reliability and comparability of study results.
  • The review consists of a literature search on current rsfMRI studies, a set of seven recommendations for improving research practices, and a discussion of future research directions to promote rigorous methods and transparency in the TBI research community.
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Background: Headache is a prevalent and debilitating symptom following traumatic brain injury (TBI). Large-scale, prospective cohort studies are needed to establish long-term headache prevalence and associated factors after TBI. This study aimed to assess the frequency and severity of headache after TBI and determine whether sociodemographic factors, injury severity characteristics, and pre- and post-injury comorbidities predicted changes in headache frequency and severity during the first 12 months after injury.

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Article Synopsis
  • A nationwide study in Norway investigated the 1-year prevalence of various headache types, including cluster headache and hemicranias, using patient registry data from 2022.
  • The study found that the prevalence rates per 100,000 individuals were 14.6 for cluster headache, 2.2 for hemicrania continua, 1.4 for paroxysmal hemicrania, and 1.2 for short-lasting unilateral neuralgiform headache attacks.
  • Notably, the results indicated that women had a higher prevalence of cluster headache compared to men, marking a significant finding in the understanding of these conditions.
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Objectives: To explore whether changes in work schedule, number of night shifts and number of quick returns were related to changes in headache frequencies.

Methods: A longitudinal study with questionnaire data from 2014 (baseline) and 2017 (follow-up) on work schedule (day only, shift work without nights and shift work with nights), number of night shifts, number of quick returns (less than 11 hours in-between shifts) and validated headache diagnoses among 1104 Norwegian nurses. Associations were explored by adjusted multivariate regression analyses.

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Background And Purpose: The aim was to provide insights to the characteristics of headache in the context of COVID-19 on behalf of the Headache Scientific Panel and the Neuro-COVID-19 Task Force of the European Academy of Neurology (EAN) and the European Headache Federation (EHF).

Methods: Following the Delphi method the Task Force identified six relevant questions and then conducted a systematic literature review to provide evidence-based answers and suggest specific diagnostic criteria.

Results: No data for facial pain were identified in the literature search.

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Article Synopsis
  • * The study measured various visual outcomes such as visual acuity, contrast sensitivity, and retina thickness, alongside DTI metrics from specific brain regions involved in vision.
  • * Results showed that the VLBW group had poorer contrast sensitivity, differences in retinal nerve fiber layer thickness, and distinct DTI metrics indicating brain structure abnormalities compared to controls, with better brain connectivity linked to improved visual outcomes in the VLBW group.
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