Conflict of Interest: None
Attack Frequency and Disease Duration as Indicators for Brain Damage in Migraine
Article first published online: 9 MAY 2008
© 2008 the Authors. Journal compilation © 2008 American Headache Society
Headache: The Journal of Head and Face Pain
Volume 48, Issue 7, pages 1044–1055, July/August 2008
How to Cite
Schmitz, N., Admiraal-Behloul, F., Arkink, E. B., Kruit, M. C., Schoonman, G. G., Ferrari, M. D. and Van Buchem, M. A. (2008), Attack Frequency and Disease Duration as Indicators for Brain Damage in Migraine. Headache: The Journal of Head and Face Pain, 48: 1044–1055. doi: 10.1111/j.1526-4610.2008.01133.x
- Issue published online: 9 JUL 2008
- Article first published online: 9 MAY 2008
- Accepted for publication March 7, 2001.
- apparent diffusion coefficient;
- frontal lobe;
- fractional anisotropy;
- optimized voxel-based morphometry
Objective.— The aim of this study was to pinpoint predilection sites of brain damage in migraine by quantitatively identifying morphometric and diffusion differences in migraineurs, compared with control subjects, and to assess whether migraine attack frequency and attack history are indicators for brain abnormalities in migraineurs.
Background.— Previous clinical neuroimaging investigations introduced the concept of migraine as a progressive brain disease. They reported an increased risk of white matter hyperintensities (WMH) with increasing attack frequency in migraineurs.
Methods.— We investigated 28 patients with migraine, using high-resolution T1- and diffusion-weighted magnetic resonance imaging and optimized voxel-based morphometry to localize gray and WM density, and fractional anisotropy and apparent diffusion coefficient differences.
Results.— We identified predilection sites of brain abnormalities in migraineurs in the frontal lobes, brainstem, and the cerebellum, and we show that both attack frequency and disease duration are indicators for brain damage in migraine.
Conclusion.— Our findings report an unbiased quantitative whole brain assessment of morphological abnormalities in migraine. This might help to identify indicators for migraine as a possibly progressive brain disease. In order to reveal the causes and consequences of brain damage in migraine, further neuroimaging studies have to investigate quantitative brain changes in a longitudinal design.