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Aberrant Neuromagnetic Activation in the Motor Cortex in Children with Acute Migraine: A Magnetoencephalography Study

Overview of attention for article published in PLOS ONE, November 2012
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Title
Aberrant Neuromagnetic Activation in the Motor Cortex in Children with Acute Migraine: A Magnetoencephalography Study
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050095
Pubmed ID
Authors

Xinyao Guo, Jing Xiang, Yingying Wang, Hope O’Brien, Marielle Kabbouche, Paul Horn, Scott W. Powers, Andrew D. Hershey

Abstract

Migraine attacks have been shown to interfere with normal function in the brain such as motor or sensory function. However, to date, there has been no clinical neurophysiology study focusing on the motor function in children with migraine during headache attacks. To investigate the motor function in children with migraine, twenty-six children with acute migraine, meeting International Classification of Headache Disorders criteria and age- and gender-matched healthy children were studied using a 275-channel magnetoencephalography system. A finger-tapping paradigm was designed to elicit neuromagnetic activation in the motor cortex. Children with migraine showed significantly prolonged latency of movement-evoked magnetic fields (MEF) during finger movement compared with the controls. The correlation coefficient of MEF latency and age in children with migraine was significantly different from that in healthy controls. The spectral power of high gamma (65-150 Hz) oscillations during finger movement in the primary motor cortex is also significantly higher in children with migraine than in controls. The alteration of responding latency and aberrant high gamma oscillations suggest that the developmental trajectory of motor function in children with migraine is impaired during migraine attacks and/or developmentally delayed. This finding indicates that childhood migraine may affect the development of brain function and result in long-term problems.

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Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Postgraduate 5 17%
Student > Ph. D. Student 5 17%
Student > Master 4 13%
Student > Bachelor 3 10%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 9 30%
Neuroscience 7 23%
Agricultural and Biological Sciences 3 10%
Psychology 3 10%
Computer Science 2 7%
Other 3 10%
Unknown 3 10%