The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Brain Gray Matter Changes in Migraine Patients With T2-Visible Lesions: A 3-T MRI Study
Abstract
Background and Purpose— In migraine patients, functional imaging studies have shown changes in several brain gray matter (GM) regions. However, 1.5-T MRI has failed to detect any structural abnormality of these regions. We used a 3-T MRI scanner and voxel-based morphometry (VBM) to assess whether GM density abnormalities can be seen in patients with migraine with T2-visible abnormalities and to grade their extent. Methods— In 16 migraine patients with T2-visible abnormalities and 15 matched controls, we acquired a T2-weighted and a high-resolution T1-weighted sequence. Lesion loads were measured on T2-weighted images. An optimized version of VBM analysis was used to assess regional differences in GM densities on T1-weighted scans of patients versus controls. Statistical parametric maps were thresholded at P <0.001, uncorrected for multiple comparisons. Results— Compared with controls, migraine patients had areas of reduced GM density, mainly located in the frontal and temporal lobes. Conversely, patients showed increased periacqueductal GM (PAG) density. Compared with patients without aura, migraine patients with aura had increased density of the PAG and of the dorsolateral pons. In migraine patients, reduced GM density was strongly related to age, disease duration, and T2-visible lesion load ( r ranging from −0.84 to −0.73). Conclusions— Structural GM abnormalities can be detected in migraine patients with brain T2-visible lesions using VBM and a high-field MRI scanner. Such GM changes comprise areas with reduced and increased density and are likely related to the pathological substrates associated with this disease.
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Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Changes in grey matter induced by training
Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004) · Nature · doi:10.1038/427311a · Cited by 2,373
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851
Chronic back pain is associated with decreased prefrontal and thalamic gray matter density
Apkarian, A. V., Sosa, Y., Sonty, S., Levy, R. M., Harden, R. N., Parrish, T. B., & Gitelman, D. R. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.2541-04.2004 · Cited by 1,434
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Pathophysiology of migraine: a disorder of sensory processing
Goadsby, P. J., Holland, P. R., Martins-Oliveira, M., Hoffmann, J., Schankin, C., & Akerman, S. (2017) · Physiological Reviews · doi:10.1152/physrev.00034.2015 · Cited by 1,998
Brain gray matter decrease in chronic pain is the consequence and not the cause of pain
Rodriguez-Raecke, R., Niemeier, A., Ihle, K., Ruether, W., & May, A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3687-09.2009 · Cited by 527
The dorsolateral prefrontal cortex in acute and chronic pain
Seminowicz, D. A., & Moayedi, M. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2017.03.008 · Cited by 502
Kucyi, A., Moayedi, M., Weissman-Fogel, I., Goldberg, M. B., Freeman, B. V., Tenenbaum, H. C., & Davis, K. D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5055-13.2014 · Cited by 396
tDCS‐Induced Analgesia and Electrical Fields in Pain‐Related Neural Networks in Chronic Migraine
DaSilva, A. F., Mendonca, M. E., Zaghi, S., Lopes, M., DosSantos, M. F., Spierings, E. L., Bajwa, Z., Datta, A., Bikson, M., & Fregni, F. (2012) · Headache: The Journal of Head and Face Pain · doi:10.1111/j.1526-4610.2012.02141.x · Cited by 305
Metadata
- Authors
- Rocca, M. A., Ceccarelli, A., Falini, A., Colombo, B., Tortorella, P., Bernasconi, L., Comi, G., Scotti, G., & Filippi, M.
- Venue
- Stroke
- Published
- 2006-07
- Volume
- 37
- Issue
- 7
- Pages
- 1765-1770
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2127261042
- Cited by
- 328
- References
- 7
- FWCI
- 9.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rocca, M. A., Ceccarelli, A., Falini, A., Colombo, B., Tortorella, P., Bernasconi, L., Comi, G., Scotti, G., & Filippi, M. (2006). Brain Gray Matter Changes in Migraine Patients With T2-Visible Lesions: A 3-T MRI Study. Stroke. https://doi.org/10.1161/01.str.0000226589.00599.4d
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