Outcome
Type |
Measure |
Description |
Time frame |
Safety issue |
Primary |
Difference of days with headache pr week after specific neck rehabilitation vs standard primary health care |
Between group comparison with a numeric variable (scale 0-7) |
6 months after baseline |
|
Primary |
Differences in grey matter volume of the brain and brain stem between patients with unilateral headache and neck pain vs. healthy controls |
Two independent group comparison based on volumetric analysis of cerebral grey matter also including surface based measurements (continuous variable) |
Baseline |
|
Primary |
Differences in cortical thickness between patients with unilateral headache and neck pain vs. healthy controls |
Two independent group comparison based on surface based analyses of cerebral grey matter carried out with FreeSurfer version 6.0 |
Baseline |
|
Secondary |
Difference in pain intensity after specific neck rehabilitation vs. standard primary health care |
Between group comparison with a numeric variable (scale 0-10) |
6 months after baseline |
|
Secondary |
Improved neck function after specific neck rehabilitation vs. standard primary health care |
Between group comparison with a numeric variable (scale 0-50) |
6 months after baseline |
|
Secondary |
Change in grey matter volume of the brain and brain stem in patients with unilateral headache and neck pain after specific neck rehabilitation |
Within group comparison based on volumetric analysis of cerebral grey matter also including surface based measurements (continuous variable) |
6 months |
|
Secondary |
Change in cortical thickness of the brain between patients with unilateral headache and neck pain after specific neck rehabilitation |
Within group comparison based on surface based volumetric analysis of cerebral grey matter (continous variable) |
6 months |
|
Secondary |
Differences in white matter integrity in patients with unilateral headache and neck pain vs. healthy controls |
Two independent group comparison based on diffusion tensor imaging with tract based spatial statistics analyses |
Baseline |
|
Secondary |
Difference in white matter integrity after specific neck rehabilitation vs standard primary health care |
Between group comparison based on diffusion tensor imaging with tract based spatial statistics analyses |
6 months after baseline |
|
Secondary |
How four week baseline headache intensity reported by a numeric rating scale is associated with regional grey matter volumes measured by surface based volumetry in patients with unilateral headache and neck pain. |
Linear regression analysis will be performed where the surface based volumetric measure of cerebral grey matter is the dependent variable, and four week baseline headache intensity is independent variable. Baseline headache intensity is based on daily measures during the last 4 weeks and is reported by an electronic diary and numeric rating scale where 0 is no pain and 10 is worst imaginable pain. It is thus considered a continuous measure. Age and gender are included as covariates. |
Baseline |
|
Secondary |
How baseline perceived cognitive function predicts volumetric differences of cerebral grey matter in patients with unilateral headache and neck pain |
Linear regression analysis of surface based volumetric measures of grey matter (continuous data) and scores of Everyday Memory Questionnaire (scale 0-8). |
Baseline |
|
Secondary |
How baseline active range of neck movement predicts neck function |
A logistic regression analysis on how baseline active range of neck movement (continuous data, degrees of rotation) predicts a 30% reduction in Neck Disability Index Score (0-50). Co-factors are age, gender, education, sick-leave. |
12 months after baseline |
|
Secondary |
How baseline active range of neck movement predicts headache frequency |
A logistic regression analysis on how baseline active range of neck movement (continuous data, degrees of rotation) predicts a 30% reduction in headache frequency (0-7). Co-factors are age, gender, education, sick-leave. |
12 months after baseline |
|
Secondary |
How baseline self efficacy predicts neck function |
A logistic regression analysis on how baseline General self efficacy scale score (scale 10-40) predicts a 30% reduction in Neck Disability Index Score (0-50). Co-factors are age, gender, education, sick-leave. |
12 months after baseline |
|
Secondary |
How baseline self efficacy predicts headache frequency |
A logistic regression analysis on how baseline General self efficacy scale score (scale 10-40) predicts a 30% reduction in headache frequency (0-7). Co-factors are age, gender, education, sick-leave. |
12 months after baseline |
|
Secondary |
How baseline fear avoidance beliefs for physical activity predict neck function |
A logistic regression analysis on how baseline fear avoidance beliefs score predict a 30% reduction in Neck Disability Index Score (0-50). Co-factors are age, gender, education, sick-leave. |
12 months after baseline |
|
Secondary |
How baseline fear avoidance beliefs for physical activity predict headache frequency |
A logistic regression analysis on how baseline fear avoidance beliefs for physical activity score predict a 30% reduction in headache frequency (0-7). Co-factors are age, gender, education, sick-leave. |
12 months after baseline |
|
Secondary |
Difference in intra-network connectivity of resting state networks in patients with unilateral headache and neck pain vs. healthy controls. |
Two independent comparison based on baseline rs-fMRI data to compare patients and controls. In multivariate general linear models, the investigators will use DMN and other major cerebral networks, identified by independent component analysis (ICA), as dependent variables and test whether there are differences in cerebral connectivity between patients and controls. All rs-fMRI analyses will be performed with the GIFT software http://mialab.mrn.org/software/gift/index.html. An ICA procedure in GIFT will be used to identify functional networks. GIFT that has a MatLab based statistical module for general linear modelling (GLM) of rs-fMRI data that will be used for all rs-fMRI analyses. |
Baseline |
|
Secondary |
Change of resting state connectivity in patients who report reduction in headache attacks. |
Within group comparison of resting state networks between baseline and 6 months follow up in a repeated measure GLM in the GIFT. Connectivity of DMN and other major networks is dependent variable and change in number of headache attacks main predictor variable. |
6 months after baseline |
|
Secondary |
Changes of resting state connectivity related to pain relief after specific neck rehabilitation. |
Within group comparison of resting state networks between baseline and 6 months follow up in a multivariate GLM. Change of connectiviy in DMN and other major networks is dependent variables and pain reports main covariate. |
6 months |
|
Secondary |
Changes in connectivity of resting state networks related to improved craniocervical flexion endurance capacity after specific neck rehabilitation. |
Within group comparison of resting state networks between baseline and 6 months follow in a multivariate GLM. Connectivity of DMN and other major networks is dependent variables and craniocervical flexion endurance capacity main covariate. |
6 months |
|