Acute withdrawal of headache medication in chronic migraine patients with medication overuse may lead to a dramatic reduction in headache frequency and severity. However, the brain networks underlying chronic migraine and a favorable response to acute withdrawal are still poorly understood. The goal of the present study was to characterize the pattern of intrinsic magnetic resonance imaging (MRI) functional connectivity (FC) specific to chronic migraine and to identify changes in FC that characterize subjects with CM reverting to less frequent headaches. Subjects with chronic migraine (N = 99) underwent a resting-state functional MRI scan before and after three months of medication withdrawal therapy. In addition, we included four control groups who were scanned once: healthy participants (N = 27), patients with episodic migraine (N = 25), patients with chronic back pain (N = 22), and patients with clinical depression (N = 17). Using dual regression analysis, we compared whole-brain voxel-level functional connectivity with ten well-known resting-state networks between chronic migraine and control groups, and between responders to treatment (≥50 % reduction in monthly headache days) and non-responders (<50 % reduction), before and after treatment. Subjects with chronic migraine showed differences in FC with a number of RS-networks, most of which involved the visual cortex, compared with healthy controls. A comparison with patients with episodic migraine, chronic pain and depression showed differences in the same direction, suggesting that altered patterns of functional connectivity in chronic migraine patients could to some extent be explained by shared symptomatology with other pain, depression, or migraine conditions. A comparison between responders and non-responders indicated that effective withdrawal reduced FC with the visual cortex for responders. Interestingly, responders already differed in functional connectivity of the visual cortex at baseline compared with non-responders. Altogether, we show that chronic migraine and successful medication withdrawal therapy are linked to changes in the functional connectivity of the visual cortex. These neuroimaging findings provide new insights into the pathways underlying migraine chronification and its reversibility.
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http://dx.doi.org/10.1016/j.nicl.2023.103543 | DOI Listing |
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Research Center of Neurology, Moscow, Russia.
Objective: To evaluate the relationship of diet and food components with the frequency of migraine attacks.
Material And Methods: Sixty patients (mean age 35.5±8.
Headache
December 2024
Department of Physical Therapy, University of Florida, Gainesville, Florida, USA.
Objective: To develop and assess the psychometrics of the Chronic Headache Self-Efficacy Scale (CHASE).
Background: Existing scales assess self-efficacy in coping strategies and management of symptoms and triggers but do not measure other important self-efficacy domains, such as performing daily activities and socializing in patients with chronic daily headache (CDH).
Methods: The study had two phases: (i) Development of the 14-item CHASE, with items derived from patients with CDH and a multidisciplinary healthcare team; (ii) longitudinal observational study for psychometric evaluation.
Sci Rep
December 2024
Departamento de Cirugía, Ciencias Médicas y Sociales, Facultad de Medicina, Universidad de Alcalá, Alcalá de Henares, Spain.
Previous research has focused on the possibility of cervical dysfunction in migraine patients, similar to what is observed in patients with tension-type headaches. However, there is no evidence concerning the physical function of other body regions, even though lower levels of physical activity have been reported among migraine patients. The aim of this study was to compare cervical and extra-cervical range of motion, muscular strength, and endurance, as well as overall levels of physical activity, between patients with chronic migraine (CM) and asymptomatic participants.
View Article and Find Full Text PDFBr J Pain
December 2024
Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Background: Chronic pain poses a significant public health challenge. We present the global and regional data on Prevalence, Incidence and Years Lived with Disability (YLDs) for Chronic pain from the Global burden of disease (GBD) study 2019 data and analyze their associations with Socio-demographic index (SDI), age, and gender, and the future trends from 2020 to 2035.
Methods: Regional trends in the burden of chronic pain and its association with age, gender, and SDI were assessed from 1990 to 2019.
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