Many patients with chronic pain (CP) suffer from mental fatigue (fatigue) and cognitive dysfunction, which to a large extent contributes to difficulties returning to work and high sick leave rates. Previous research has primarily relied on subjective estimates, but then the results are affected by depression and sleep disorders. The general attitude has therefore been that fatigue is due to sleep disorders and depression.
However, fatigue is not only a subjective experience but can also be associated with impaired cognitive functioning. In patients with acquired brain injuries, fatigue has been linked to impaired attention, slower process speed and fatigue. Since objective measures have not been used in previous studies in chronic pain, it cannot be ruled out that fatigue and cognitive impairments may have similar underlying mechanisms.
To enable effective treatment, one needs to find markers that can distinguish different causes of fatigue (depression vs. impaired cognitive functions) from each other. Fatigue in cognitively demanding tasks can be such a marker, which has been shown in patients with mild traumatic brain injury and hormonal conditions. One theory is that the same mechanisms may play a role in CP.
In chronic pain the central nervous system is affected by an imbalance in the brain's pathway system, which leads to plastic changes in the brain. In particular, pain activates areas of the brain that are important for attention functions, which may explain why many patients with pain experience attention deficit disorders. Only a few studies have used objective tests to study the type and extent of cognitive problems and cognitive fatigue has not been studied before in patients with CP.
Functional MRI (fMRI) may reflect increased or decreased neuronal activity in the brain as changes in neuronal activity are linked to changes in regional blood flow (rCBF) and blood oxygenation levels (BOLD). Fatigue in mild traumatic brain injury is related to altered connectivity in the brain and that there are different neural networks that are related to subjective compared to objective measures of fatigue. Also in chronic pain, connectivity changes have been seen and that low back pain and rheumatic pain give different connectivity changes. These studies did not include fatigue and fatigue and did not link them to activity during the fMRI study itself.
Chronic low-grade systemic inflammation is also thought to play a major role in the onset of CP. Studies have shown that patients with generalized pain / fibromyalgia have elevated levels of immunological biomarkers. Similar results have been demonstrated in patients with neuropathic pain. It is unclear whether patients with other types of pain also have elevated levels of these proteins. It is also unknown if there is any relationship between immunological biomarkers and other variables such as fatigue and cognition.
In order to improve and diagnostic and prognostic models as well as develop the treatment pharmacologically and / or with cognitive training, the connection between pain and underlying pathophysiological mechanisms needs to be studied further with objective markers.
Pain rehabilitation clinics at the Department of Rehabilitation Medicine, Danderyd University Hospital and at the Department of Pain Rehabilitation, Pain Center, Umeå University Hospital offer assessment and evidence-based team-based multimodal rehabilitation for patients with complex chronic pain.
To receive rehabilitation at the clinics, a referral is required. Information about the study is sent to the referred patients at the same time as the call for initial assessment.
At time for the team assessment, the patient is asked orally by the team nurse if the testing psychologist may contact the patient to inform about the study.
All participants are provided oral and written information and will give informed consent to participate in the study. The patient's consent is recorded and a log is made of the number who accept to participate and the number and gender of those who decline and why they chose to decline. No personal data other than gender will be registered on those who say no. The purpose of the log is only to be able to assess generalizability based on the proportion who have agreed to participate in the study.
The testing psychologist then calls the patient and inform them about the study and if the patient agrees, an appointment is made for the neuropsychological investigation, which takes about an hour.
In connection with the assessment, the psychologist ensures that the patients have understood the information, inquire about whether they have further questions and collect the consent form.
In connection with the patient being asked to participate in the study, patients investigated at the Department of Pain Rehabilitation at Umeå University Hospital are asked if they also want to participate in the fMRI study.
Healthy controls will be recruited through advertising among hospital staff. Matching at group level will take place regarding age, gender and level of education.
The patients are assessed by an independent psychologist, who does not see the patients clinically. In the statistical processing, the participants will be coded. Code key is stored separately.
Background information is received from the Swedish Quality Register for Pain Rehabilitation (SQRP) as well as information about medication. Possible trauma and background information from the time of the injury and degree of sick leave will be obtained from the medical record.
Immunological markers will be taken from a total of 36 patients and 36 controls. Everyone participating in the fMRI examination will take blood samples.
Analysis of fMRI data will be done with special software for MRI analysis, developed at Oxford University (http://www.fmrib.ox.ac.uk/fsl/). Statistical comparison of gray matter volume, white matter damage and blood flow at rest and in cognitive activation is done in specific analysis modules where MRI data from the different groups are compared at pixel level (voxels) with methodology specifically developed for the different MRI modalities.
Data from omics and targeted analysis will be analyzed using advanced multivariate data analysis using SIMCA-P+, that is recommended method in omics where it account for multicollinearity problems and missing data and when the numbers of variable exceed the number of observations. This technology is well established at PAINOMICS lab in Linköping, Sweden.
