Abstract
Objective
To compare cervical musculoskeletal findings in chronic forms of migraine, tension-type headache, cluster headache, and healthy controls and identify which variables were most strongly associated with headache frequency, neck disability and impact in each headache group.
Methods
Single-blinded cross-sectional study with a non-probabilistic sample. A blinded physiotherapist assessed 129 participants: chronic migraine (n = 35), chronic tension-type headache (n = 30), chronic cluster headache (n = 34) and headache-free controls (n = 30). Psychosocial and cervical musculoskeletal variables (head posture, total cervical active range of motion, flexion–rotation test, motor control, symptom reproduction and resolution) were compared. Backward linear regression analyses were performed to explore associations between cervical variables and headache frequency. neck disability and headache-related impact.
Results
Compared to controls, chronic cluster headache showed reduced total cervical active range of motion [F(3,128) = 8.8; p = 0.001, d = 0.75], retraction [F(3,128) = 4.66; p = 0.007, d = 0.70], protraction [F(3,128) = 7.77; p = 0.017, d = 0.73] and flexion–rotation [F(3,128) = 3.68; p = 0.014, d = 0.72]. While sex confounded total active range of motion (p = 0.009); neither variable influenced protraction or retraction (all p ≥ 0.26). Familiar head pain was evoked more in chronic migraine (68.6%) and tension-type headache (72.4%) than controls (23.3%) [χ²(1) = 20.85; p = 0.008; χ²(1) = 29.99; p = 0.0003]. Erector spinae activity was negatively associated with cluster headache frequency (Adjusted R²=0.25; β=−0.65; p = 0.02), cervical retraction was negatively associated with migraine frequency (Adjusted R²=0.11; β=−1.58; p = 0.03), and no significant associations were found for tension-type headache.
Conclusion
This study provides the first comprehensive assessment of cervical musculoskeletal function in chronic cluster headache and directly compares it with the main chronic primary headaches and free-headache control group. Chronic cluster headache showed reduced cervical range of motion and impaired flexion–rotation versus controls; Although some differences between headache groups were observed, cervical musculoskeletal impairments were broadly present across chronic headache populations, without a clearly distinctive disorder-specific pattern. Neck musculoskeletal findings were not associated with headache frequency or impact.
Supplementary Information
The online version contains supplementary material available at https://doi.org/10.1186/s10194-026-02413-z.
Keywords: Migraine, Tension type headache, Cluster headache, Cervical spine, Pain, Physical examination
Introduction
Diagnosis of primary headaches relies on symptom characteristics and associated features such as nausea, phonophobia, and photophobia [1]. Globally, tension-type headache is the most prevalent primary headache disorder (42%), followed by migraine (11%). Although cluster headache has been less extensively studied than migraine and tension-type headache it is associated with substantial disability [1, 2].
Clinical reports from primary care settings, however, state that migraine is frequently misdiagnosed as tension-type headache or even as cervicogenic headache [3]. Differentiating between headache types becomes increasingly challenging in chronic conditions, where symptom overlap and co-occurrences are common [4–6]. Among the various associated features, neck pain is one of the most prevalent, reported by up to 88.4% of patients with tension-type headache and 76.2% of those with migraine [7, 8]. In patients with cluster headache, neck pain has also been linked to the onset of attacks [9]. Self-reported neck disability is also common in patients with tension-type headache and migraine but has not been studied in patients with cluster headache [10–12]. Moreover, in chronic tension-type headache (CTTH) and chronic migraine (CM), neck disability was associated with headache frequency in both groups [6].
The mechanisms linking the commonly reported neck pain and neck-related disability to primary headaches remain poorly understood. Although the trigeminocervical convergence has frequently been proposed as a potential explanation [13–15], this mechanism may not fully account for the widespread distribution of neck symptoms since cervical musculoskeletal structures associated with neck pain (e.g., the trapezius or levator scapulae muscles) are only partially innervated by the upper cervical segments proposed to form the trigeminocervical complex [C1–C2/(3)] [16, 17]. A second hypothesis is related to increased central sensitization due to repeated headache experience, as discussed in frequent and chronic migraine [18]. Additional nociception from neck-related structures might serve as a stimulus (“trigger”) to this sensitive system and lead to more frequent and/or more severe headaches [19].
Based on these neuroanatomical frameworks, investigating and comparing musculoskeletal findings across primary headaches with different pathophysiologies is warranted. Specifically, due to its central neurovascular and autonomic etiology, Chronic Cluster Headache (CCH) was initially hypothesized to display a functional dissociation from musculoskeletal structures, presenting significantly fewer neck symptoms compared to CM and CTTH. Additionally, the inclusion of a healthy, headache-free control group is essential to establish a baseline for normal cervical function, allowing for a precise determination of whether sensorimotor and structural impairments are uniquely associated with the burden of chronic headaches. Therefore, examining these cohorts concurrently may contribute to a better understanding of whether cervical dysfunction unifies chronic headache populations or remains exclusive to specific pathophysiological profiles, while also helping guide future clinical decision-making.
Previous studies comparing episodic migraine and tension-type headache have reported differences in cervical musculoskeletal features, particularly active range of motion (AROM) and forward head posture (FHP) [12, 16, 17]. However, to our knowledge, only one study has directly compared musculoskeletal findings between chronic headache types (CM and CTTH), reporting no differences, although the assessment was limited to AROM and FHP [6]. According to international consensus recommendations, a comprehensive evaluation of cervical musculoskeletal dysfunction should include 11 standardized tests [20]. To date, no study has applied this approach in patients with episodic or chronic cluster headache (CCH), nor compared findings across CM, CTTH, and CCH.
Based on previous evidence in CM and CTTH and considering the neurophysiological interaction between trigeminal and upper cervical nociceptive pathways, we hypothesized that patients with the three chronic primary headache disorders would present greater cervical musculoskeletal dysfunction compared with healthy controls. Furthermore, given the distinct clinical characteristics and pathophysiological mechanisms underlying CM, CTTH, and CCH, we also hypothesized that cervical musculoskeletal findings may differ across headache types. Such knowledge may facilitate the development of tailored multimodal treatment strategies within an interprofessional framework.
Accordingly, the primary aim of this study was to compare cervical musculoskeletal examination findings, based on expert recommendations, among patients with CM, CTTH and CCH as well as healthy controls. A secondary aim was to determine which cervical variables were most strongly associated with neck disability, headache frequency, and headache-related impact within each headache group.
Methods
Study design
A single blind, cross-sectional study with a non-probabilistic sample was conducted at [Information removed for peer review1]. A headache expert neurologist (more than 15 years’ experience) recruited patients diagnosed with CM, CTTH or CCH. Headache-free participants were recruited through advertisements and snowball sampling.
The study was carried out from September 2019 to February 2024 at [Information removed for peer review2]. The protocol was approved by the Ethics Committee of [Information removed for peer review3] according to ethical standards of the declaration of Helsinki. All participants signed an informed consent document, and all procedures followed the STROBE [21].
Participants
Participants were consecutively recruited during their regular visits to a specialized neurology outpatient clinic as they met the predefined criteria. To prevent self-selection bias based on neck symptoms, patients were enrolled based solely on their headache diagnosis; no advertisement-based or neck-related self-referral recruitment strategies were utilized.
Patients who met the following criteria were included: adults diagnosed with CM, CTTH or CCH by an experienced headache neurologist according to the 3rd edition of the International Classification of Headache Disorders (ICHD-III) [1]. Headache frequency was established based on data extracted from the patients’ personal headache diaries, averaged over the previous three months.
Exclusion criteria included the presence of another concomitant headache disorder; a history of trauma or surgery involving the cervical, cranial, or mandibular musculoskeletal regions; medication overuse (analgesics or other drugs); and diagnoses of meningitis, fibromyalgia, or any chronic pain condition other than CM, CTTH, or CCH. Patients were also excluded if they had received physiotherapy treatment within the two weeks prior to assessment, or if they had peripheral neuropathies, rheumatic diseases, or other conditions potentially affecting sensory pathways.
For ethical reasons, participants with CM, CTTH, and CCH were allowed to continue their usual pharmacological treatment.
Control participants were eligible if they reported two or fewer headache episodes in the previous year and did not meet any of the exclusion criteria described above. Healthy controls were also excluded if they presented current spinal pain, a history of medically diagnosed cervical pathology or injury.
Procedures
To ensure examiner blinding, the neurologist recruited eligible patients and forwarded their contact details to a first physiotherapist (CMT), who scheduled the assessments and completed the inclusion procedures.
On the assessment day, participants received verbal and written information about the study procedures. After providing informed consent, they completed sociodemographic and psychosocial questionnaires. The Spanish validated questionnaires of the headache impact test–6 items (HIT-6) [22], quality of life questionnaire Short Form Health Survey (SF-12) [23], neck disability index (NDI) [24] were presented.
A second physiotherapist (IEG), unaware of the diagnosis, performed the neck examination according to international consensus [20]. Headache frequency was established based on data extracted from the patients’ personal headache diaries, averaged over the previous three months:
Neck active range of motion (AROM): AROM was quantified using validated inertial sensors (Werium Solutions, Madrid, Spain) [25]. Participants sat while one sensor was placed on the forehead and another on the sternal manubrium. They performed three consecutive repetitions in each direction (flexion, extension, side flexion, rotation), with movements recorded in degrees. Total AROM was calculated by summing the mean values for each direction. (Detailed description in Supplementary Material 1).
Flexion Rotation Test (FRT): To quantify upper cervical spine (C1-C2) rotation, the same inertial sensors were used [25]. The test was carried out according to Hall et al. 2008 [26]. The test ended at pain onset or therapist-detected resistance. Means of three left- and right-side movements were calculated in degrees; as no side differences were found, totals were used for analysis. (Detailed description in Supplementary Material 1).
FHP: the validated cervical inclinometer (CROM) with forward head arm and a vertebral locator (with a bubble leveler) was used (CROM; Cervical Range of Motion Instrument, Performance Attainment Associates, 1988, University of Minnesota) [27]. Data was recorded according to Garret et al. (2019) procedure and recorded in centimeters [28]. (Detailed description in Supplementary Material 1).
Neck protraction and retraction: The CROM instrument was also used to measure the active neck protraction and retraction according to the procedure validated by Elizagaray-Garcia et al. (2023). Data was recorded in centimeters [29]. (Detailed description in Supplementary Material 1).
Motor control was analyzed using the craniocervical-flexion test (CCFT) according to the procedure described by Falla et al. (2004). A pressure biofeedback unit (Stabilizer, Chattanooga, TN) with five stages (22–30 mmHg) was placed under the cervical spine. The maximum pressure maintained for 10 s without compensatory SCM activity was recorded [30, 31] (Detailed description in Supplementary Material 1).
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Additionally, surface EMG amplitudes of the SCM and erector spinae muscles (ESM) were analyzed at each test stage. EMGs data were collected with a validated device (mDurance Solutions SL) [32]. Two five-channel sensors were used. After skin preparation, Ag/AgCl electrodes (Grass-Telefactor, Astro-Med, RI, USA) were placed bilaterally on the SCM sternal head and at C2–C3 between SCM and upper trapezius for the ESM [33]. Ground electrodes were placed on the clavicle and C7 spinous process.
Prior to the CCFT, maximal voluntary isometric contractions (MVICs) of the cervical flexor and extensor muscles were performed for EMG normalisation. Participants were positioned in crook-lying position, consistent with the CCFT testing position. For cervical flexion MVIC, manual resistance was applied to the forehead, and participants were instructed to perform maximal isometric flexion effort for 5 s, attempting to lift the head towards the chest while the examiner prevented movement. For cervical extension MVIC, participants were instructed to exert maximal isometric effort against the table while the head remained in contact with the support surface.
Following familiarisation trials, a single valid MVIC was recorded for each condition. The central second of each contraction was extracted for analysis, in accordance with established procedures [30]. EMG signals were processed using the same filtering, rectification, and normalisation procedures described for the CCFT analysis.
Signals were amplified (gain = 1,000), rectified, and band-pass filtered (Butterworth 20–400 Hz). EMG envelopes were calculated using a fixed (MVIC) or dynamic (CCFT) 500 ms window, and the normalized RMS of the central 5 s of each CCFT stage was expressed as a percentage of the corresponding MVIC (%RMS). Additionally, the % RMS symmetry of both pairs of muscles (SCM and ESM left and right side) were analyzed.
Neck flexors endurance test: This test assesses the ability of the deep cervical flexors to sustain a contraction over time. The test is performed with the patient in supine position, lifting the head a few centimeters off the surface while maintaining a chin tuck. The duration for which the patient can hold this position before fatigue or loss of alignment occurs is used to evaluate muscle endurance [34]. Data was recorded in seconds.
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Reproduction and resolution of symptoms: Pain recognized as the usual headache (in the patient groups) was recorded through different tests [passive accessory intervertebral movements (PAIVMs), muscle trigger points (MTrP), reproduction and resolution test; AROM and FRT]. (1) For MTrP, four locations in the upper trapezius, four in the SCM and two in the suboccipital muscles were palpated manually with manual pressure held for five seconds [35]. (2) For the PAIVMs assessment, the protocol according to Luedtke K. & May A. (2017) was carried out at nine different locations in the upper cervical spine [36]. (3) For the Reproduction and Resolution test pain reproduction was recorded at eight different locations of the upper cervical spine [37]. (4) Each movement during the AROM and FRT assessments was evaluated, and participants who experienced their familiar headache at least once were recorded. It was considered positive if the usual headache was evoked at any location after holding the technique for five seconds and disappeared within five seconds after its application. If the headache was not the usual one, pain was only in the neck, or no pain was provoked; the test was considered negative.
Following each provocative manoeuvre, a brief observation period was allowed to ensure that any elicited headache symptoms subsided. If habitual headache symptoms had persisted beyond a reasonable period, the assessment would have been discontinued (this situation did not occur in any participant).
Sample size calculation
The sample size estimation was based on data obtained from an unpublished pilot study conducted by our research group (n = 15), performed prior to the main study due to the absence of previous evidence in patients with CCH. The pilot study was used to obtain preliminary estimates of variability and effect size for neck musculoskeletal variables. G*Power 3.1 (University of Düsseldorf, Germany) was used for f-tests (effect size = 0.31, power = 80%, α < 0.05), resulting in a required sample size of 120 participants.
Statistical analysis
Statistical analyses were conducted using SPSS v24.0 (SPSS Inc., Chicago, IL, USA). Shapiro-Wilk tests (N < 50/group) assessed normality. Variables with normal distribution were analyzed parametrically and expressed as mean ± SD (quantitative) or N (%) (categorical). sEMG during CCFT and neck flexor endurance showed non-normal distribution; thus, non-parametric analyses were performed and expressed as median (IQR) or N (%).
Comparisons between groups
Quantitative variables with normal distribution were compared using one-way ANOVA with Bonferroni post-hoc, and Kruskal–Wallis with Mann–Whitney post-hoc when they did not follow normal distribution. Effect sizes were calculated as partial eta-squared (η²: 0.01–0.06 small, 0.06–0.14 medium, > 0.14 large). Post-hoc effect sizes were estimated with Cohen’s d (0.21–0.50 small, 0.51–0.80 medium, > 0.81 large) for parametric analyses and Rosenthal’s r for non-parametric analyses (0.10–0.29 small, 0.30–0.49 medium, > 0.5 large) [38].
To control for potential confounding factors, age was systematically included as a covariate in the initial ANCOVA models. However, sex was excluded from these multivariate analyses due to a highly skewed distribution across groups that strictly reflects the epidemiological prevalence of these conditions (i.e., the CM and CTTH groups were predominantly female, whereas the CCH group was predominantly male).
Nominal variables were compared using Chi-square (χ²) tests with Bonferroni-adjusted post-hoc pairwise χ² comparisons when the omnibus test was significant. Effect size was calculated using Cramer’s V (0.00–0.06 small, 0.06–0.17 medium, 0.18–0.29 large, ≥ 0.29 very large) [39].
Pairwise post-hoc analyses were only conducted after a statistically significant omnibus test. Bonferroni-adjusted post-hoc comparisons were applied for parametric, non-parametric and categorical between-group analyses.
Multiple backward linear regression
Multiple backward linear regression models examined which neck musculoskeletal variables were associated with headache frequency, neck disability and headache impact. Given non-normality, Spearman’s rank correlation (rho) was used (< 0.3 weak, 0.3–0.7 moderate, > 0.7 strong) [40]. To reduce model overparameterization considering subgroup sample sizes, only a limited number of clinically plausible variables showing at least moderate bivariate associations (rho at least 0.40) were considered for exploratory regression analyses [40]., Crucially, these candidate covariates were strictly cross-referenced with clinical and pathophysiological plausibility based on previous literature [16, 17, 41] o ensure a clinically driven refinement. Due to the data-driven nature of this sequential selection process, and the lack of an independent validation dataset, the regression models were considered exploratory and hypothesis-generating rather than confirmatory.
Given group sample sizes, backward elimination (p < 0.10) was used for regression. Association strength was assessed via (B), R², adjusted R², and p-values, with standardized β coefficients to allow comparison of the magnitude of associations between variables.
Regression assumptions were verified using the Shapiro-Wilk test for residual normality, Cook’s distance for influential outliers (D > 1), the Durbin-Watson statistic for autocorrelation, and Variance Inflation Factors (VIF) for multicollinearity (cutoff > 10). Statistical significance for all analyses was set at p < 0.05.
In line with the ANCOVA strategy, all regression models were adjusted for age to evaluate its potential confounding effect independently. Sex was omitted from the regression models to prevent sever near-separation issues across the diagnostic groups and to preserve the statistical power necessary for robust parameter estimation.
Results
Participants and demographic characteristics
A total of 133 participants were recruited; four CCH participants were excluded due to prior greater occipital nerve electrostimulator implantation. The final sample comprised 129 participants (35 CM, 30 CTTH, 34 CCH, 30 controls). Significant group differences were observed for age [F(3,130) = 2032.73; p = 0.01; η²=0.08] and gender [χ²(3) = 40.91; p < 0.001; Cramer’s V = 0.56] (Table 1).
Table 1.
Sample characteristics and comparison between groups
| Controls (n = 30) | CM (n = 35) | CTTH (n = 30) | CCH (n = 34) | Statistic; (effect size) |
Controls Vs CM |
Controls Vs CTTH |
Controls Vs CCH |
CM Vs CTTH |
CM Vs CCH |
CTTH Vs CCH | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | Post-hoc analysis with Bonferroni correction – Cohen´s d (effect size) | ||||||||
| Age (years) | 47.33 (12.22) | 42.8 (13.32) | 52.93 (15.79) | 51.59 (12.47) | F(3, 128) = 3.18*; (0.08) | 0.52 | 0.69 | 0.68 | 0.69* | 0.53 | 0.68 | |
| Physical activity (days/week) | 3.95 (3.39) | 2.74 (2.41) | 4.11 (3.86) | 3.5 (3.23) | F(3, 128) = 1.19; (0.02) | 0.41 | 0.04 | 0.13 | 0.43 | 0.26 | 0.17 | |
| Headache frequency (days/month) | - | 29 (8.03) | 28 (9.09) | 30 (19.52) | F(2, 98) = 0.13; (0.01) | - | - | - | 0 | 0 | 0 | |
| Headache onset (years ago) | - | 15 (15.08) | 9.39 (11.97) | 9.65 (7.66) | F(2, 98) = 3.68; (0.07) | - | - | - | 0.41 | 0.38 | 0.02 | |
| N (%) | N (%) | N (%) | N (%) |
Statistic; Cramer´s V (effect size) |
Post-hoc analysis (significant p-values) | |||||||
| Sex (female) | 18 (60%) | 32 (94.11%) | 24 (80%) | 7 (20.58%) | χ2(3, 128) = 40.91**; (0.56) | * | n.s. | * | n.s. | * | * | |
Legend: (CTTH) Chronic tension-type headache; (CM) Chronic Migraine; (CCH) Chronic cluster headache; (F)ANOVA statistic;
) Eta square; (χ2) Chi squared; (n.s.) Non statistical differences; (*) p-value < 0.05; (**) p-value < 0.001
Comparisons between groups
Psychosocial outcomes
ANOVA revealed significant group differences in quality of life (SF-12), specifically in the physical health domain [F(3,128) = 9.75; p < 0.001; η²=0.19], and in neck disability (NDI) [F(3,128) = 23.29; p < 0.001; η²=0.36]. These differences were driven by the comparisons of all headache groups versus the control group as shown in Bonferroni-corrected post-hoc tests. There were no differences between the headache types regarding quality of life, neck disability and headache related disability (HIT-6) (Table 2).
Table 2.
Comparison between groups of psychosocial variables
| Controls (n = 30) | CM (n = 35) | CTTH (n = 30) | CCH (n = 34) | Statistic; (effect size) |
Controls Vs CM |
Controls Vs CTTH |
Controls Vs CCH |
CM Vs CTTH |
CM Vs CCH |
CTTH Vs CCH | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | Post-hoc analysis with Bonferroni correction – Cohen´s d (effect size) | ||||||||
| SF-12 | ||||||||||||
| Physical health subsc (%). | 76.45 (14.61) | 48.53 (24.88) | 55.52 (16.73) | 55.08 (26.4) | F(3, 128) = 9.75**; (0.19) | 0.83** | 0.83* | 0.78* | 0.59 | 0.57 | 0.51 | |
| Mental health subsc (%). | 58.89 (23.72) | 55.10 (17.75) | 52.37 (13.01) | 61.49 (18.96) | F(3, 128) = 1.40; (0.03) | 0.18 | 0.34 | 0.12 | 0.17 | 0.35 | 0.55 | |
| NDI (Total score/60) | 11.93 (2.88) | 28.69 (6.69) | 27.37 (7.79) | 25.91 (23.08) | F(3, 128) = 23.29**; (0.36) | 0.99** | 0.97** | 0.73** | 0.55 | 0.55 | 0.52 | |
| HIT-6 (Total score/78) | - | 65.23 (6.07) | 61.97 (8.17) | 61.53 (10.04) | F(2, 98) = 2.06; (0.04) | - | - | - | 0.46 | 0.45 | 0.05 | |
Legend: (CTTH) Chronic tension-type headache; (CM) Chronic Migraine; (CCH) Chronic cluster headache; (HIT-6) Headache impact test; (NDI) Neck disability index; (F)ANOVA statistic;
) Eta square; (*) p-value < 0.05; (**) p-value < 0.001
Head posture and neck movement outcomes
ANOVA analyses for neck posture and movement variables showed significant differences between groups for all measures (FHP, AROM, retraction, protraction, FRT) (Table 3). Bonferroni-corrected pairwise comparisons indicated the CCH group had significantly reduced AROM, retraction, protraction, and FRT versus healthy controls, with large effect sizes (Cohen’s d ≥ 0.7) (Table 3).
Table 3.
Comparison between groups of the head posture and neck movement outcomes
| Controls (n = 30) | CM (n = 35) | CTTH (n = 30) | CCH (n = 34) | Controls Vs CM |
Controls Vs CTTH |
Controls Vs CCH |
CM Vs CTTH |
CM Vs CCH |
CTTH Vs CCH |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) |
Statistic;
(effect size)
|
Post-hoc analysis with Bonferroni correction – Cohen´s d (effect size) | |||||||||||||
| Forward head posture (cm) | 17.53 (2.54) | 17.05 (2.22) | 17.5 (3.16) | 19.2 (2.99) | F(3, 128) = 4.01*; (0.09) | 0.53 | 0.5 | 0.61 | 0.55 | 0.72* | 0.65 | |||||||
| Neck AROM (Total º) | 354.96 (40.09) | 337.13 (45.51) | 296.11 (54.33) | 305.97 (61.37) | F(3, 128) = 8.8**; (0.17) | 0.62 | 0.81** | 0.75* | 0.72* | 0.66 | 0.55 | |||||||
| Neck retraction position (cm) | 13.95 (2.99) | 14.01 (2.21) | 14.67 (2.8) | 16.17 (3.02) | F(3, 128) = 4.66*; (0.10) | 0.51 | 0.57 | 0.7* | 0.57 | 0.72* | 0.64 | |||||||
| Neck protraction position (cm) | 21.52 (2.76) | 20.92 (2.11) | 21.14 (3.63) | 23.91 (2.89) | F(3, 128) = 7.77**; (0.15) | 0.57 | 0.53 | 0.73* | 0.52 | 0.8* | 0.73* | |||||||
| FRT (total º) | 90.61 (15.97) | 79.34 (22.73) | 77.35 (16.77) | 74.42 (21.84) | F(3, 128) = 3.68*; (0.09) | 0.66 | 0.71 | 0.72* | 0.53 | 0.56 | 0.54 | |||||||
| Endurance flexors test & Craniocervical Flexion Test (CCFT) | ||||||||||||||||||
|
Median (Range) |
Median (Range) |
Median (Range) |
Median (Range) |
Statistic;
(effect size)
|
Post-hoc Mann-Whitney Test with Bonferroni correction – r (effect size) | |||||||||||||
| Endurance flexors test (Seconds) |
96.03 (445.00–91.17) |
45.88 (180.00–37.88) |
53.96 (190.00–45.10) |
63.60 (165–37.13) |
H(3, 128) = 14.43*; (0.09) | 0.19** | 0.42* | 0.36* | 0.28* | 0.08 | 0.14 | |||||||
| CCFT Stage reached (mmHg) |
30 (27–30) |
28 (26–30) |
30 (24–30) |
30 (24–30) |
H(3, 128) = 2.60; (0.003) | 0.40 | 0.48 | 0.20 | 0.13 | 0.28 | 0.15 | |||||||
Legend: (CTTH) Chronic tension-type headache; (CM) Chronic Migraine; (CCH) Chronic cluster headache; (AROM) Neck active range of motion (total º); (FRT) Flexion-rotation test; (CCFT) Craniocervical flexion test; (mmHg) Millimetre of mercury for the stage of the CCFT; (F)ANOVA statistic; (
) Eta square; (X2) Chi squared; (n.s.) Non statistical differences; (*) p-value < 0.05; (**) p-value < 0.001
Controlling for the covariate age, the ANCOVA analysis confirmed significant differences for retraction [F(3) = 3.34; p = 0.022; η²p = 0.08], total AROM [F(3) = 8.774; p < 0.001] No significant group effect was found for FHP, neck protraction position, or FRT.
For neck retraction, the covariate age (F = 1.09, p = 0.299) did not show a significant contribution. Post hoc comparisons indicated that participants with CCH presented significantly lower neck retraction values than controls (mean difference=-2.23 cm, Cohen’s d = 0.81, pBonf = 0.022). No other pairwise comparisons reached statistical significance.
For the total AROM, the covariate age (F = 36.27, p < 0.001) contributed significantly to the model. Bonferroni-adjusted comparisons showed that controls presented significantly greater total neck AROM than participants with CTTH (mean difference = 42.67°, d = 0.94, pBonf = 0.004) and CCH (mean difference = 62.26°, d = 1.38, pBonf < 0.001). Participants with CM also showed significantly greater AROM than those with CCH (mean difference = 46.51°, d = 1.03, pBonf = 0.005). The remaining comparisons were not statistically significant.
Reproduction and resolution of symptoms
Chi-square analyses demonstrated significant differences between groups for symptom reproduction during PAIVMs [χ²(3) = 22.17; p < 0.001; Cramer’s V = 0.42] and for headache reproduction and resolution test [χ²(3) = 20.62; p < 0.001; Cramer’s V = 0.40] (Table 4). Post hoc analyses showed that participants with CM and CTTH reported a significantly higher frequency of familiar head pain in response to PAIVMs (p < 0.05) and during reproduction and resolution test (p < 0.001 and p < 0.05, respectively) compared to healthy controls. No significant differences were observed in the remaining pairwise comparisons, and between-group differences for the presence of MTrPs [χ²(3) = 11.32; p > 0.05; Cramer’s V = 0.30] (Table 4).
Table 4.
Comparison between groups of the reproduction and resolution of headache symptoms
| REPRODUCTION OF HEADACHE | Controls (n = 30) | CM (n = 35) | CTTH (n = 30) | CCH (n = 34) | Statistic; Cramer´s V (effect size) |
|---|---|---|---|---|---|
| Nº (%) | Nº (%) | Nº (%) | Nº (%) | ||
| Neck AROM (headache) | 0 (0) | 4 (11.4) | 3 (12.9) | 3 (8.8) | χ2(3, 128) = 3.97; (0.18) |
| Neck FRT (headache) | 0 (0) | 5 (14.3) | 1 (3.3) | 3 (8.8) | χ2(3, 128) = 5.92; (0.21) |
| Neck MTrP (headache) | 5 (16.7) | 15 (42.9) | 13 (41.9) | 5 (14.7) | χ2(3, 128) = 11.32; (0.30) |
| PAIVMs (headache) | 0 (0) | 14 (40) | 14 (48.3) | 6 (18.2) | χ2(3, 128) = 22.17**; (0.42) |
| Reproduction Resolution Test (headache) | 7 (23.3) | 24 (68.6) | 21 (72.4) | 13 (39.4) | χ2(3, 128) = 20.62**; (0.40) |
Legend: (CTTH) Chronic tension-type headache; (CM) Chronic Migraine; (CCH) Chronic cluster headache¸ Active range of motion; (FRT) Flexion-rotation test; (PAIVMs) Passive accessory intervertebral movements; (MTrPs) Myofascial Trigger Points; (χ2) Chi squared; (*) p-value < 0.05; (**) p-value < 0.001
Muscle performance outcomes
Significant between-group differences were observed in the Endurance Flexors Test [H(3) = 14.43, p < 0.05; η²=0.09]. Post-hoc pairwise comparisons (Mann–Whitney U test with Bonferroni correction) revealed that endurance time was significantly lower in participants with CM (median = 45.88 s; r = 0.19, p < 0.001), CTTH (median = 53.96 s; r = 0.42, p < 0.05), and CCH (median = 63.60 s; r = 0.36, p < 0.05) compared with controls. Effect sizes ranged from small to moderate. No statistically significant differences were found between the headache groups themselves (all p > 0.05) (Table 3). For the endurance flexor test, ANCOVA adjusted for age demonstrated that the covariate did not significantly contribute to the model (all p > 0.05).
Additionally, between-group comparisons of sEMG activity (RMS normalized) during the CCFT revealed no statistically significant differences for the SCM at any CCFT stage (22–30 mmHg) (all Kruskal–Wallis tests, p > 0.05), with very small effect sizes (η²≤0.02) (Table 5). In contrast, significant between-group differences were identified for the ESM at 22 mmHg (H(3) = 10.79, p < 0.05; η²=0.06), 24 mmHg (H(3) = 10.55, p < 0.05; η²=0.06), 26 mmHg (H(3) = 7.04, p < 0.05; η²=0.03), and 28 mmHg (H(3) = 7.97, p < 0.05; η²=0.04). At these stages, post-hoc analyses indicated significantly higher ESM sEMG activity in participants with CM compared with controls (small-to-moderate effect sizes, r ≈ 0.31–0.39). No significant between-group differences were observed at 30 mmHg (H(3) = 5.47, p > 0.05) (Table 5).
Table 5.
Comparison between groups of CCFT (sEMG muscle activity)
| Controls (n = 30) | CM (n = 35) | CTTH (n = 30) | CCH (n = 34) | Statistic; (effect size) |
Controls Vs CTTH |
Controls Vs CM |
Controls Vs CCH |
CM Vs CTTH |
CM Vs CCH |
CTTH Vs CCH |
||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Median (Range) | Median (Range) | Median (Range) | Median (Range) | Post-hoc Dunn´s Test with Bonferroni correction – r (effect size) | ||||||||
| CCFT (Sternocleidomastoid muscles) | ||||||||||||
| 22 mmHg (RMS%) |
7.94 (3.15–12.50) |
9.56 (6.11–17.13) |
12.41 (5.95–19.40) |
11.44 (4.22–19.59) |
H(3, 128) = 3.91
|
0.24 | 0.21 | 0.15 | 0.06 | 0.03 | 0.08 | |
| 24 mmHg (RMS%) |
8.78 (4.16–19.13) |
11.43 (7.99–16.40) |
12.29 (5.32–26.93) |
8.26 (4.81–18.09) |
H(3, 128) = 1.66
|
0.10 | 0.14 | 0.01 | 0.04 | 0.12 | 0.07 | |
| 26 mmHg (RMS%) |
17.46 (8.94–38.22) |
15.40 (10.66–30.36) |
18.31 (8.35–43.66) |
21.17 (9.85–27.54) |
H(3, 128) = 0.09
|
0.01 | 0.01 | 0.01 | 0.02 | 0.02 | 0.04 | |
| 28 mmHg (RMS%) |
10.17 (6.66–23.03) |
13.83 (10.39–20.82) |
13.83 (4.42–25.78) |
7.81 (5.24–36.22) |
H(3, 128) = 2.88
|
0.07 | 0.17 | 0.02 | 0.08 | 0.18 | 0.09 | |
| 30 mmHg (RMS%) |
15.25 (6.67–22.70) |
12.99 (9.12–20.33) |
11.54 (4.48–17.84) |
7.25 (4.88–15.95) |
H(3, 128) = 5.2
|
0.14 | 0.04 | 0.21 | 0.17 | 0.02 | 0.04 | |
| CCFT (Erectors Spinae muscles) | ||||||||||||
| 22 mmHg (RMS%) |
8.3 (5.56–12.36) |
15.03 (8.06–30.31) |
11.45 (6.30–18.38) |
12.05 (8.18–27.54) |
H(3, 128) = 10.79*
|
0.1819 | 0.39* | 0.31 | 0.18 | 0.07 | 0.11 | |
| 24 mmHg (RMS%) |
10.73 (8.11–17.33) |
19.52 (13.05–30.56) |
17.25 (10.95–30.71) |
15.61 (7.93–32.06) |
H(3, 128) = 10.55 *
|
0.27 | 0.39* | 0.17 | 0.11 | 0.21 | 0.09 | |
| 26 mmHg (RMS%) |
8.29 (6.95–18.35) |
17.77 (9.59–24.66) |
14.98 (9.14–24.75) |
12.31 (8.15–24.07) |
H(3, 128) = 7.04 *
|
0.26 | 0.31* | 0.26 | 0.04 | 0.02 | 0.01 | |
| 28 mmHg (RMS%) |
13.55 (9.54–27.17) |
29.35 (13.63–44.98) |
17.22 (9.90–27.61) |
13.95 (6.02–37.13) |
H(3, 128) = 7.97*
|
0.07 | 0.32 | 0.03 | 0.21 | 0.27 | 0.04 | |
| 30 mmHg(RMS%) |
16.35 (10.28–23.10) |
22.66 (12.69–43.94) |
14.90 (8.09–22.87) |
13.42 (7.92–21.34) |
H(3, 128) = 5.47
|
0.02 | 0.23 | 0.04 | 0.18 | 0.25 | 0.05 | |
Abbreviations: (CTTH) Chronic Tension-Type Headache; (CM) Chronic Migraine; (CCH) Chronic Cluster Headache; (CCFT) Craniocervical flexion test; (mmHg) Millimetre of mercury for the stage of the CCFT; (RMS%) Root mean square normalized; (
) Eta squared; (*) p-value < 0.05; (**) p-value < 0.01
No statistically significant differences were observed between-groups regarding the symmetry of neck muscles sEMG activity during the different stages of the CCFT (Supplementary Material 2).
Regression analyses
In the adjusted regression model for age, neck retraction was retained as a variable associated with migraine frequency in the exploratory regression model [F(1,34) = 5.39; p = 0.03; adjusted R²=0.11], with age showing no significant confounding effect (p = 0.87), while no significant associated variables were found for the CTTH and CCH groups.
In the unadjusted models, AROM was significantly associated with neck disability (NDI) in CM [F(1,34) = 5.79; p = 0.03; adjusted R²=0.17] and CTTH [F(1,29) = 5.78; p = 0.02; adjusted R²=0.12)]. However, after adjusting for age, the overall models were no longer statistically significant, showing non-significant trend in CM [F(2,32) = 3.02; p = 0.063; adjusted R²=0.106] and CTTH [F(2,28) = 2.67; p = 0.088; adjusted R²=0.107]. In these adjusted models, AROM retained a marginal negative association with NDI (CM: β=-0.073; p = 0.053; CTTH: β=-0.061; p = 0.065), whereas age was not significantly associated with NDI in either group (CM: p = 0.548; CTTH: p = 0.962). No significant associated variable was identified for the CCH group.
Finally, after adjusting the regression model for headache impact (HIT-6), the EMG symmetry of the sternocleidomastoid muscle during the fourth stage of the CCFT was a significant associated variable for the CTTH group [F(1,29) = 8.75; p = 0.009; adjusted R²=0.30] with age showing no significant confounding effect (p = 0.87). While the model for the CCH group showed a non-significant trend after adjusting for age [F(2, 26) = 3.19; p = 0.063; adjusted R2 = 0.166]. In this latter model, sEMG symmetry during the third stage remained a significant independent predictor (p = 0.038), whereas age had no significant influence (p = 0.690). No significant associated variables were identified for the CM group.
Discussion
This study compared neck musculoskeletal function across CM, CTTH, CCH, and healthy controls. Mobility impairments were evident in CTTH and CCH, with greatest AROM reductions in CTTH. Neck flexor endurance was reduced in all headache groups. sEMG during CCFT showed preserved SCM but altered ESM activity in CM. Regression analyses revealed headache-specific associations between cervical mobility, muscle activity, and clinical outcomes across CM, CTTH, and CCH.
To interpret these findings, we contrasted our initial pathophysiological hypotheses with actual outcomes. As a Trigeminal Autonomic Cephalalgia driven by central nervous system structures, particularly the hypothalamus, which has been associated with the stereotyped nature, circadian pattern and periodicity of attacks [42–44], we hypothesized that CCH would show minimal neck involvement. Surprisingly, CCH patients exhibited significant musculoskeletal impairments (reduced neck AROM and FRT, reduced flexor endurance, high NDI) comparable to CM and CTTH.
This unexpected presentation suggests that despite the distinct neurovascular nature of CCH, chronic and recurrent nociceptive input may also be associated with cervical musculoskeletal alterations. One possible explanation may involve sustained trigeminocervical nociceptive processing and mechanisms related to central sensitization, although the present cross-sectional design does not allow mechanistic or causal inferences. Consequently, shared mechanisms related to chronic nociceptive processing may contribute to overlapping cervical musculoskeletal findings across chronic headache populations. In support of this mechanical interaction through trigeminocervical convergence, preliminary clinical evidence by de-la-Puente-Ranea and Navarro-Fernández et al. (2021) has already suggested that physical therapy targeting the upper cervical spine can successfully decrease headache burden in patients with CCH [45, 46].
The reduced cervical spine mobility observed in this current study should be interpreted in light of the group’s significantly older age and higher proportion of male participants compared to the other headache groups and headache-free controls. This concern was confirmed when assessing the influence of age in the ANCOVA which showed that all movement-related tests were significantly influenced by one or both variables, except for neck retraction.
Muscle performance testing also showed a reduced capability of the CCH group to stabilize the cervical spine and maintain craniocervical flexion during the flexor muscle endurance test. This was a finding across all headache groups and significantly more pronounced than in the healthy control group. While this is in line with previous studies on migraine [47] and tension-type headache [48] populations where no mechanistic explanation has been provided, this deficit may be driven by kinesiophobia and avoidance behaviour in a pain-affected region. Neurophysiologically, this performance drop likely reflects an altered motor output stemming from central sensitization and impaired endogenous pain inhibition, where persistent trigeminocervical nociception drives a reflex-mediated, pain-induced inhibition of the deep cervical flexor muscles [49, 50]. A network meta-analysis [51] in patients with whiplash-associated disorders demonstrated that cervical flexor endurance is closely associated with factors such as fear of movement and long-term disability, further supporting this neuromuscular interaction. Additionally, although delayed migraine triggering was not systematically recorded in our study, qualitative clinical observations during testing revealed that numerous participants experienced immediate local neck pain or discomfort during or immediately following the test. This suggests that mechanical loading acutely exacerbates localized nociceptive pathways, which aligns with previous reports of neck endurance tests inducing localized symptoms or migraine-like headaches [52].
Consistent with this, our participants with CCH showed a lower response to headache provocation tests compared with those with CM and CTTH. Reduced cervical mobility may therefore represent a coincidental finding unrelated to an underlying musculoskeletal disorder, or alternatively a secondary consequence of repeated disabling pain leading to increased cervical muscle tension and stiffness [53]. Whether musculoskeletal impairments contribute to disability or influence clinical characteristics of cluster headache remains unclear. Further research is needed to determine whether associations exist between cluster headache frequency, musculoskeletal findings and neck-related disability, as previously reported in migraine populations [6, 54].
More evidence is available to interpret our findings in the CM population. Results partially confirm previous research, especially for head familiar pain provocation tests [6, 55]. While mobility tests in this current sample did not show significant differences compared to the control group, manual palpation (PAIVMs) and the Reproduction and resolution test on upper cervical structures did. Several previous studies reported on an increased sensitivity of patients with migraine, especially, but not only, towards the attack [56–58], caused by reduced endogenous inhibition, which is more pronounced within the reference areas of the trigeminal nerve than in the periphery [59]. Patients with CM no longer have the clear pattern of ictal and interictal phases and hence remain within a state of hypersensitivity. Recent data showed that pain provocation during musculoskeletal testing is not exclusively explained by hypersensitivity [17, 36, 58]. It is currently discussed whether nociceptive signals arising from musculoskeletal structures interacting with the trigeminal nervous system may increase its sensitization. These findings may help contextualize why some patients could potentially benefit from physiotherapy approaches targeting cervical musculoskeletal impairments. However, it is generally accepted that migraine is a central nervous system disease not involving musculoskeletal structures in the neck [60].
The CCTH group mainly showed findings for neck mobility and pain reproduction tests. Increased FHP as found in previous studies [61–63] was not reproduced in this sample. FHP can be measures in a variety of procedures [28, 29, 64–66]. Since we wanted to capture natural head posture, the instruction given to each patient was “sit in a natural and relaxed and face forward position” [29, 67] there was no standardization procedure which may have led to different results.
AROM is one of the most important variables in neck function and its reduction is also considered as a diagnostic criterion to determine cervicogenic headache [1, 68]. Although some literature reports that patients with CTTH and CM have a reduced neck AROM compared to asymptomatic controls [12, 17], others did not find movement restrictions in these groups [16]. Our previous study showed that CTTH and CM had comparable reductions in AROM compared to asymptomatic controls [6]. It is well documented in the literature that pain can increase muscle tension, which is a key feature of tension-type headaches and could explain the reduction in movement [53, 69]. Similar to migraine and cluster headache, musculoskeletal restrictions in this primary headache type are a symptom rather than the cause for the pain [70, 71]. Interestingly, patients with CTTH also showed an increased response to pain provocation tests, indicating that CM as well as CTTH share features of hypersensitivity and thereby of other chronic pain diseases [72–75]. Madsen et al. (2018) suggested that muscle hyperalgesia could influence the worsening of cervical function which consequently contributes to the maintenance of headache [53].
Given that numerous studies have reported an alteration in the somatosensory cortex of patients with chronic primary headache and mechanical neck hyperalgesia [6, 76–79], the neural output that neck muscles received may be altered which may worsen muscle performance and/or motor control strategies compared to asymptomatic controls. This may explain why some types of headaches showed some alteration in muscle testing compared to headache-free controls. Although there was no clear pattern common to all, patients with CM showed a feature that has been previously evidenced in the literature [80, 81]. Indeed, Florencio et al. (2015) and Florencio et al. (2016), observed that patients with chronic migraine present a phenomenon of neuromuscular coactivation, i.e. when they perform a maximum isometric contraction movement of cervical flexion, they not only activate the flexor musculature but also the antagonist extensor musculature significantly more than controls. Moreover, we have also observed that this motor control disorder also occurs in submaximal contractions such as the CCFT.
Taken together, these findings support the presence of cervical musculoskeletal alterations across chronic primary headache disorders and may be compatible with differences in underlying nociceptive and sensorimotor processing mechanisms.
Clinical implications
According to our results, neck musculoskeletal findings were observed in some domains, but this was not consistent across all outcomes or groups. Based on the current understanding of the pathophysiology of the three headache types [82–85], these are unlikely to play a causal role for the symptom development but could either be a consequence of repeated headache attacks with associated neck pain and muscle tension or could be independent neck musculoskeletal impairments which are common in the overall population [7, 86, 87]. Overall, some musculoskeletal variables showed statistical associations with headache frequency and related disability in this study and in previous reports. However, several musculoskeletal measures did not differ from those observed in healthy controls, in line with previous findings. This indicates that musculoskeletal alterations are not consistently present across all domains, and the observed associations vary in magnitude. Given that the certainty of the evidence is low to moderate, these results should be interpreted cautiously and within an individualized clinical context [55, 58, 88, 89]. Our results reinforce the need for a structured, standardized, and headache-specific cervical assessment aimed at identifying potentially relevant nociceptive and sensorimotor contributors within the trigeminocervical system. From a clinical perspective, the findings support an individualized decision-making process in which targeted management of neck musculoskeletal dysfunction may be justified in patients with migraine [90], CTTH [91]. Lastly, while the physical therapy management of cervical impairments is well-established for migraine and tension-type headache, preliminary evidence from a case series has also suggested positive clinical outcomes in patients with CCH [45, 46]. Given that our sample explicitly demonstrated significant cervical impairments in the CCH group, future clinical trials are needed to explore whether these cervical musculoskeletal findings may have therapeutic relevance in patients with CCH.
Limitations
Several limitations must be acknowledged. First, as a cross-sectional study, causal inference is not possible; longitudinal studies are needed. Second, although consecutive recruitment minimized neck-related self-selection bias, non-probabilistic sampling limits external validity. Recruiting from specialized tertiary care may overrepresent patients with greater headache severity, frequency, or refractoriness than primary care or the general population. Third, the sample came from a specific geographical area and specialized headache clinic, reducing external validity. Fourth, although the male-to-female ratio (6:3) reflects literature, sex differences may have influenced some variables. Additionally, the marked imbalance in sex distribution across headache groups represents an important limitation. Although this distribution reflects the epidemiology of these disorders, residual confounding related to sex-specific differences in cervical mobility and musculoskeletal function cannot be completely excluded despite the statistical adjustment strategy. Fifth, headache severity on the examination day was not recorded. Sixth, the data-driven variable selection carries risks of overfitting and limited reproducibility. However, regression diagnostics (e.g., VIF and Cook’s distance) did not reveal major violations of model assumptions or severe multicollinearity. Future larger studies should utilize contemporary penalized modelling strategies (e.g., LASSO regression) combined with independent validation cohorts to achieve a more robust variable selection and maximize generalizability. Furthermore, the exploratory regression analyses should be interpreted cautiously due to the relatively small subgroup sample sizes and the potential instability inherent to sequential variable selection procedures. Finally, prior physical therapy for neck pain was not documented, which could have affected patients’ neck condition.
Conclusion
This study provides the first comprehensive assessment of cervical musculoskeletal function in CCH and the first direct comparison across major chronic primary headaches. CCH patients showed reduced cervical AROM and impaired flexion–rotation versus controls, but findings were similar to CM and CTTH, indicating no disorder-specific musculoskeletal profile. Hypersensitivity was the main feature in CM and CTTH. Notably, cervical extensor EMG activity during CCFT was associated with headache frequency in CCH, and retraction movement in CM, suggesting potential exploratory associations with headache frequency.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We thank all patients who contributed to this study for their participation. We would also like to thank other physiotherapists who have contributed in some way to the development of this work, such as Javier García Sanchez, Javier Lorenzo Prol, Celia Calvo, Francisco Javier Sáenz de Mera, Ivan Suarez, Jacqueline Sanchez and Ana Rosario Navarro.
Abbreviations
- CTTH
Chronic tension type headache
- CM
Chronic migraine
- CCH
Chronic cluster headache
- AROM
Active range of motion
- FHP
Forward head posture
- PAIVMs
Passive accessories intervertebral movements
- MTrP
Myofascial trigger point
- ICHD-III
International classification headache disorders (3rd edition)
- HIT-6
Headache impact test – 6 items
- SF-12
Short Form Health Survey
- NDI
Neck disability index
- BDI
Beck depression inventory
- CROM
Cervical inclinometer
- CCFT
Craniocervical flexion test
- SCM
Sternocleidomastoid muscle
- ESM
Erectors Spinae muscles
- EMGs
Surface electromyography
- MVIC
Maximal voluntary isometric contractions
- RMS
Root mean square
- Ag/AgCl
Silver/silver chloride
Author contributions
• Ignacio Elizagaray-García: Conceptualization, Methodology, investigation, Formal analysis, writing original draft, writing–review & editing • Celia María-de-Toro-Cañizares : Investigation • Javier Díaz-de-Terán: Investigation, resources • Alfonso Gil-Martínez: Conceptualization, Methodology, writing–review & editing • Kerstin Luedtke: Methodology, writing–review & editing.
Funding
Project carried out with the financial support of CSEU La Salle – Call for Proposals 2025-2026.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
The study protocol received ethical approval from the La Paz University Hospital Ethics Committee, Madrid (Approval No. Pi-3442).
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Hospital Universitario La Paz in Madrid (Department of Neurology, Headaches Unit).
Hospital Universitario La Paz (Madrid, Spain).
La Paz University Hospital (code: PI-3442).
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Ignacio Elizagaray-García, Email: jeliga@lasallecampus.es.
Alfonso Gil-Martínez, Email: alfonso.gil@lasallecampus.es.
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Supplementary Materials
Data Availability Statement
No datasets were generated or analysed during the current study.















