Central poststroke pain (CPP) is estimated to affect up to 10% of stroke patients and is one of the most difficult-to-treat conditions with a detrimental effect on patient's quality of life. So far, no drug has proven efficient to alleviate CPP and neuromodulation approaches including Deep Brain Stimulation (DBS) and motor-cortex stimulation have yielded mixed results with only a few patients experiencing long-term pain relief. To date, little is known about the pathophysiology of CPP. There is at present little evidence for a clear association between the specific location of lesions, clinical manifestation and phenomenology of pain as well as treatment response of CPP patients. Furthermore, the time delay between stroke occurrence and CPP occurrence is highly variable and the fact, that it is not immediate in the great majority of patients suggests that other factors contribute to the development of CPP. These factors have not been identified yet.
Central poststroke pain (CPP) is estimated to affect up to 10% of stroke patients and is one of the most difficult-to-treat conditions with a detrimental effect on patient's quality of life. So far, no drug has proven efficient to alleviate CPP and neuromodulation approaches including DBS and motor-cortex stimulation have yielded mixed results with only a few patients experiencing long-term pain relief. To date, little is known about the pathophysiology of CPP. There is at present little evidence for a clear association between the specific location of lesions, clinical manifestation and phenomenology of pain as well as treatment response of CPP patients. Furthermore, the time delay between stroke occurrence and CPP occurrence is highly variable and the fact, that it is not immediate in the great majority of patients suggests that other factors contribute to the development of CPP. These factors have not been identified yet. The objective of this research project is to correlate clinical aspects of CPP (pain phenomenology) with magnetic resonance image (MRI)-based findings, especially metabolic changes and functional reorganization processes captured by functional MRI and MR spectroscopy. A better understanding of the underlying pathophysiological mechanism of CPP and its involved neuronal networks are mandatory for any future therapeutic approach to treat this difficult condition. The discovery of a potential image-based biomarker could serve to help identify patients early who are at risk of developing CPP. Furthermore, the findings may help identify prognosticators of different forms of CPP treatments (e.g. biofeed-back, neuromodulation approaches, medication) in the future.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
88
Clinical testing for neurological deficits based on National Institute of Health Stroke Scale (NIHSS), objective sensory testing and pain assessment by quantitative sensory testing (QST) and quantitative pain drawings, 7T magnetic resonance imaging (MRI)
Dep. of Neurosurgery, Bern University Hospital
Bern, Switzerland
RECRUITINGCorrelation between cerebral connectivity patterns
Correlation between cerebral connectivity patterns at rest during pain-processing tasks based on functional MRI
Time frame: Day 30 after inclusion
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