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The Relationship Between Thalamic GABA Content and Resting Cortical Rhythm in Neuropathic Pain

Overview
Journal Hum Brain Mapp
Publisher Wiley
Specialty Neurology
Date 2018 Jan 18
PMID 29341331
Citations 18
Authors
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Abstract

Recurrent thalamocortical connections are integral to the generation of brain rhythms and it is thought that the inhibitory action of the thalamic reticular nucleus is critical in setting these rhythms. Our work and others' has suggested that chronic pain that develops following nerve injury, that is, neuropathic pain, results from altered thalamocortical rhythm, although whether this dysrhythmia is associated with thalamic inhibitory function remains unknown. In this investigation, we used electroencephalography and magnetic resonance spectroscopy to investigate cortical power and thalamic GABAergic concentration in 20 patients with neuropathic pain and 20 pain-free controls. First, we found thalamocortical dysrhythmia in chronic orofacial neuropathic pain; patients displayed greater power than controls over the 4-25 Hz frequency range, most marked in the theta and low alpha bands. Furthermore, sensorimotor cortex displayed a strong positive correlation between cortical power and pain intensity. Interestingly, we found no difference in thalamic GABA concentration between pain subjects and control subjects. However, we demonstrated significant linear relationships between thalamic GABA concentration and enhanced cortical power in pain subjects but not controls. Whilst the difference in relationship between thalamic GABA concentration and resting brain rhythm between chronic pain and control subjects does not prove a cause and effect link, it is consistent with a role for thalamic inhibitory neurotransmitter release, possibly from the thalamic reticular nucleus, in altered brain rhythms in individuals with chronic neuropathic pain.

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References
1.
Boord P, Siddall P, Tran Y, Herbert D, Middleton J, Craig A . Electroencephalographic slowing and reduced reactivity in neuropathic pain following spinal cord injury. Spinal Cord. 2007; 46(2):118-23. DOI: 10.1038/sj.sc.3102077. View

2.
Sarnthein J, Stern J, Aufenberg C, Rousson V, Jeanmonod D . Increased EEG power and slowed dominant frequency in patients with neurogenic pain. Brain. 2005; 129(Pt 1):55-64. DOI: 10.1093/brain/awh631. View

3.
Walton K, Dubois M, Llinas R . Abnormal thalamocortical activity in patients with Complex Regional Pain Syndrome (CRPS) type I. Pain. 2010; 150(1):41-51. DOI: 10.1016/j.pain.2010.02.023. View

4.
Lo Verme J, Fu J, Astarita G, La Rana G, Russo R, Calignano A . The nuclear receptor peroxisome proliferator-activated receptor-alpha mediates the anti-inflammatory actions of palmitoylethanolamide. Mol Pharmacol. 2004; 67(1):15-9. DOI: 10.1124/mol.104.006353. View

5.
Vanhamme , van den Boogaart A , Van Huffel S . Improved method for accurate and efficient quantification of MRS data with use of prior knowledge . J Magn Reson. 1998; 129(1):35-43. DOI: 10.1006/jmre.1997.1244. View