A clinical guide for physiotherapists to assess and manage cervical musculoskeletal impairment and pain sensitivity in migraine patients
Abstract
INTRODUCTION: Migraine is a complex neurological disorder characterized by different signs and symptoms, often presenting with an altered pain sensitivity and cervical musculoskeletal impairments. Thus, the management of migraine patients should include the assessment and eventually a specific treatment of these characteristics.
PURPOSE: Physiotherapists play a key role in identifying and managing cervical musculoskeletal impairments and altered pain sensitivity in migraine patients. This manuscript provides evidence-based guidance on assessment techniques and clinical reasoning strategies to help physiotherapists effectively evaluate and interpret these characteristics in clinical practice.
IMPLICATION: This manuscript serves as a practical guide for physiotherapists by: Outlining physiotherapy assessment techniques for migraine patients.Providing reference cutoff values to identify increased pain sensitivity and cervical dysfunctions.Supporting individualized clinical reasoning to understand these characteristics within each patient's overall condition.Clarifying the rationale behind physiotherapy interventions and integrating hands-on and hands-off therapeutic approaches based on patient-specific needs.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.