Functional MRI and pain
| Autor: | Ramachandran Ramani, Saeeda Qadri, Kenneth M. Fomberstein |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Secondary somatosensory cortex
business.industry Pain Prefrontal Cortex Sensory system medicine.disease behavioral disciplines and activities Gyrus Cinguli Magnetic Resonance Imaging Anesthesiology and Pain Medicine medicine.anatomical_structure nervous system Fibromyalgia Back pain Medicine Humans Pain Management medicine.symptom business Prefrontal cortex Insula Neuroscience psychological phenomena and processes Default mode network Anterior cingulate cortex |
| Zdroj: | Current opinion in anaesthesiology. 26(5) |
| ISSN: | 1473-6500 |
| Popis: | Purpose of review This article reviews the current state of knowledge in functional MRI (fMRI) research related to pain with primary focus on clinical studies. Recent findings With fMRI, the subjective effects of pain (sensory, affect, emotion, and motor components) can be objectively imaged. Although the conventional fMRI technique has been the isolation of regions in the brain transmitting and modulating pain, functional connectivity measurement can identify functionally linked regions associated with pain processing. The primary and secondary somatosensory cortex (S1 and S2), anterior cingulate cortex (ACC), and insula are the four regions (part of pain matrix) consistently activated in pain states. Functional connectivity between the prefrontal cortex (PFC), ACC, and insula correlates well with clinical pain measures. The dorsal medial PFC to insula connectivity can identify patients prone to persistent back pain. Default mode network (DMN) to insula connectivity is associated with spontaneous pain in fibromyalgia patients. In addition, the DMN encompasses the PFC. Techniques for fMRI analysis, templates, and standards for identifying the functional networks in the brain are evolving continuously. The activation pattern with analgesic agents seems to be specific to the class of drugs. Summary As we learn more about fMRI related to pain, functional connectivity patterns could emerge as biomarkers for specific pain conditions. |
| Databáze: | OpenAIRE |
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