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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Monitoring Acupuncture Effects on Human Brain by fMRI
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Functional MRI and pain.

Kenneth Fomberstein1, Saeeda Qadri, Ramachandran Ramani

  • 1Yale University School of Medicine, New Haven, Connecticut, USA.

Current Opinion in Anaesthesiology
|September 3, 2013
PubMed
Summary

Functional MRI (fMRI) objectively images pain's subjective effects. Functional connectivity patterns show promise as biomarkers for specific pain conditions, aiding clinical diagnosis and treatment.

Area of Science:

  • Neuroimaging
  • Pain Research
  • Clinical Neuroscience

Background:

  • Functional MRI (fMRI) is increasingly used to study pain perception.
  • Understanding the neural basis of pain is crucial for developing effective treatments.

Purpose of the Study:

  • To review the current state of functional MRI (fMRI) research in pain, focusing on clinical applications.
  • To explore how fMRI can objectively image the subjective experience of pain.

Main Methods:

  • Review of clinical studies utilizing fMRI for pain assessment.
  • Analysis of brain activation patterns and functional connectivity in pain states.
  • Examination of evolving fMRI analysis techniques and standards.

Main Results:

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  • fMRI objectively images sensory, affective, and motor components of pain.
  • Key brain regions consistently activated in pain include S1, S2, ACC, and insula.
  • Functional connectivity, particularly involving the PFC, ACC, and insula, correlates with clinical pain.
  • Connectivity patterns may predict persistent back pain and are associated with fibromyalgia pain.
  • Drug-specific activation patterns observed with analgesic agents.

Conclusions:

  • Functional connectivity patterns identified through fMRI hold potential as biomarkers for specific pain conditions.
  • Continued research in fMRI for pain may lead to improved diagnostic and therapeutic strategies.