Atypical age-related cortical thinning in episodic migraine

Cephalalgia

Volumn 34, Issue 14, 2014, Pages 1115-1124

  Chong, Catherine D ^a   Dodick, David W ^a   Schlaggar, Bradley L ^b   Schwedt, Todd J ^a  

^a MAYO CLINIC   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Age related cortical thinning; Aging; Cortical thickness; Migraine; Neuroimaging; Pain

Indexed keywords

ADULT; AGE RELATED CORTICAL THINNING; AGING; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); EPISODIC MIGRAINE; FEMALE; FUSIFORM GYRUS; HUMAN; LEFT HEMISPHERE; MALE; NEUROIMAGING; RIGHT HEMISPHERE; TEMPORAL LOBE; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; MIDDLE AGED; MIGRAINE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; YOUNG ADULT;

ADULT; AGING; CEREBRAL CORTEX; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MIGRAINE DISORDERS; YOUNG ADULT;

EID: 84923365664     PISSN: 03331024     EISSN: 14682982     Source Type: Journal    
DOI: 10.1177/0333102414531157     Document Type: Article

References (64)

1. Bigal ME, Rapoport AM, Lipton RB, et al. Assessment of migraine disability using the migraine disability assessment (MIDAS) questionnaire: A comparison of chronic migraine with episodic migraine. Headache 2003;43:336-342.
2. Lipton RB, Bigal ME, Diamond M, et al. Migraine prevalence, disease burden, and the need for preventive therapy. Neurology 2007;68:343-349.
3. Lipton RB, Hamelsky SW, Kolodner KB, et al. Migraine, quality of life, and depression: A populationbased case-control study. Neurology 2000;55:629-635.
4. Stewart WF, Linet MS, Celentano DD, et al. Age- and sex-specific incidence rates of migraine with and without visual aura. Am J Epidemiol 1991;134:1111-1120.
5. Stewart WF, Lipton RB, Celentano DD, et al. Prevalence of migraine headache in the United States. Relation to age, income, race, and other sociodemographic factors. JAMA 1992;267:64-69.
6. Maleki N, Becerra L, Brawn J, et al. Concurrent functional and structural cortical alterations in migraine. Cephalalgia 2012;32:607-620.
7. Maleki N, Linnman C, Brawn J, et al. Her versus his migraine: Multiple sex differences in brain function and structure. Brain 2012;135:2546-2559.
8. Messina R, Rocca MA, Colombo B, et al. Cortical abnormalities in patients with migraine: A surface-based analysis. Radiology 2013;268:170-180.
9. Rocca MA, Ceccarelli A, Falini A, et al. Brain gray matter changes in migraine patients with T2-visible lesions: A 3-T MRI study. Stroke 2006;37:1765-1770.
10. Schmitz N, Admiraal-Behloul F, Arkink EB, et al. Attack frequency and disease duration as indicators for brain damage in migraine. Headache 2008;48:1044-1055.
11. Schmidt-Wilcke T, Ganssbauer S, Neuner T, et al. Subtle grey matter changes between migraine patients and healthy controls. Cephalalgia 2008;28:1-4.
12. Schmitz N, Arkink EB, Mulder M, et al. Frontal lobe structure and executive function in migraine patients. Neurosci Lett 2008;440:92-96.
13. Kim JH, Suh SI, Seol HY, et al. Regional grey matter changes in patients with migraine: A voxel-based morphometry study. Cephalalgia 2008;28:598-604.
14. Maleki N, Becerra L, Nutile L, et al. Migraine attacks the basal ganglia. Mol Pain 2011;7:71.
15. Rocca MA, Messina R, Colombo B, et al. Structural brain MRI abnormalities in pediatric patients with migraine. J Neurol 2014;261:350-357.
16. DaSilva AF, Granziera C, Snyder J, et al. Thickening in the somatosensory cortex of patients with migraine. Neurology 2007;69:1990-1995.
17. Hogstrom LJ, Westlye LT, Walhovd KB, et al. The structure of the cerebral cortex across adult life: Age-related patterns of surface area, thickness, and gyrification. Cereb Cortex 2013;23:2521-2530.
18. Salat DH, Buckner RL, Snyder AZ, et al. Thinning of the cerebral cortex in aging. Cereb Cortex 2004;14:721-730.
19. Sowell ER, Peterson BS, Thompson PM, et al. Mapping cortical change across the human life span. Nat Neurosci 2003;6:309-315.
20. Espeseth T, Westlye LT, Fjell AM, et al. Accelerated age-related cortical thinning in healthy carriers of apolipoprotein E epsilon 4. Neurobiol Aging 2008;29:329-340.
21. Kubota M, Miyata J, Yoshida H, et al. Age-related cortical thinning in schizophrenia. Schizophr Res 2011;125:21-29.
22. Moayedi M, Weissman-Fogel I, Salomons TV, et al. Abnormal gray matter aging in chronic pain patients. Brain Res 2012;1456:82-93.
23. Kuchinad A, Schweinhardt P, Seminowicz DA, et al. Accelerated brain gray matter loss in fibromyalgia patients: Premature aging of the brain? J Neurosci 2007;27:4004-4007.
24. Wallace GL, Dankner N, Kenworthy L, et al. Agerelated temporal and parietal cortical thinning in autism spectrum disorders. Brain 2010;133:3745-3754.
25. Ceko M, Bushnell MC, Fitzcharles MA, et al. Fibromyalgia interacts with age to change the brain. Neuroimage Clin 2013;3:249-260.
26. Lado FA, Sankar R, Lowenstein D, et al. Age-dependent consequences of seizures: Relationship to seizure frequency, brain damage, and circuitry reorganization. Ment Retard Dev Disabil Res Rev 2000;6:242-252.
27. Headache Classification Subcommittee of the International Headache Society. The International Classification of Headache Disorders, 2nd edition. Cephalalgia 2004;24(Suppl 1):9-160.
28. Beck AT, Steer RA and Brown G. Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation, 1996.
29. Spielberger C and Gorsuch R. State trait anxiety inventory for adults: Sampler set, manual, test, scoring key. Redwood City, CA: Mind Garden, 1983.
30. Dale AM and Sereno MI. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. J Cogn Neurosci 1993;5:162-176.
31. Dale AM, Fischl B and Sereno MI. Cortical surfacebased analysis. I. Segmentation and surface reconstruction. Neuroimage 1999;9:179-194.
32. Fischl B and Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U SA 2000;97:11050-11055.
33. Fischl B, Liu A and Dale AM. Automated manifold surgery: Constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 2001;20:70-80.
34. Fischl B, Salat DH, Busa E, et al. Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron 2002;33:341-355.
35. Fischl B, Salat DH, Van Der Kouwe AJ, et al. Sequenceindependent segmentation of magnetic resonance images. Neuroimage 2004;23(Suppl 1):S69-S84.
36. Fischl B, Sereno MI and Dale AM. Cortical surfacebased analysis. II: Inflation, flattening, and a surfacebased coordinate system. Neuroimage 1999;9:195-207.
37. Fischl B, Sereno MI, Tootell RB, et al. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp 1999;8:272-284.
38. Fischl B, Van Der Kouwe A, Destrieux C, et al. Automatically parcellating the human cerebral cortex. Cereb Cortex 2004;14:11-22.
39. Han X, Jovicich J, Salat D, et al. Reliability of MRIderived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer. Neuroimage 2006;32:180-194.
40. Jovicich J, Czanner S, Greve D, et al. Reliability in multisite structural MRI studies: Effects of gradient nonlinearity correction on phantom and human data. Neuroimage 2006;30:436-443.
41. Segonne F, Dale AM, Busa E, et al. A hybrid approach to the skull stripping problem in MRI. Neuroimage 2004;22:1060-1075.
42. Sled JG, Zijdenbos AP and Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998;17:87-97.
43. Hagler DJ Jr, Saygin AP and Sereno MI. Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 2006;33:1093-1103.
44. Fisher RA. On the 'probable error' of a coefficient of correlation deduced from a small sample. Metron 1921;1:3-32.
45. Cohen JC and Cohen P. Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum, 1983.
46. Westlye LT, Walhovd KB, Dale AM, et al. Differentiating maturational and aging-related changes of the cerebral cortex by use of thickness and signal intensity. Neuroimage 2010;52:172-185.
47. Fjell AM, Westlye LT, Grydeland H, et al. Accelerating cortical thinning: Unique to dementia or universal in aging? Cereb Cortex 2014;24:919-934.
48. Moreno F, Sala-Llonch R, Barandiaran M, et al. Distinctive age-related temporal cortical thinning in asymptomatic granulin gene mutation carriers. Neurobiol Aging 2013;34:1462-1468.
49. Whitford TJ, Grieve SM, Farrow TF, et al. Progressive grey matter atrophy over the first 2-3 years of illness in first-episode schizophrenia: A tensor-based morphometry study. Neuroimage 2006;32:511-519.
50. Hutton C, Draganski B, Ashburner J, et al. A comparison between voxel-based cortical thickness and voxelbased morphometry in normal aging. Neuroimage 2009;48:371-380.
51. Winkler AM, Kochunov P, Blangero J, et al. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies. Neuroimage 2010;53:1135-1146.
52. Carlsson K, Andersson J, Petrovic P, et al. Predictability modulates the affective and sensorydiscriminative neural processing of pain. Neuroimage 2006;32:1804-1814.
53. Wager TD, Atlas LY, Lindquist MA, et al. An fMRIbased neurologic signature of physical pain. N Engl J Med 2013;368:1388-1397.
54. Baliki MN, Schnitzer TJ, Bauer WR, et al. Brain morphological signatures for chronic pain. PLoS One 2011;6:e26010.
55. Frøkjær JB, Bouwense SA, Olesen SS, et al. Reduced cortical thickness of brain areas involved in pain processing in patients with chronic pancreatitis. Clin Gastroenterol Hepatol 2012;10:434-438 e1.
56. Godinho F, Magnin M, Frot M, et al. Emotional modulation of pain: Is it the sensation or what we recall? J Neurosci 2006;26:11454-11461.
57. Shimo K, Ueno T, Younger J, et al. Visualization of painful experiences believed to trigger the activation of affective and emotional brain regions in subjects with low back pain. PLoS One 2011;6:e26681.
58. Yang FC, Chou KH, Fuh JL, et al. Altered gray matter volume in the frontal pain modulation network in patients with cluster headache. Pain 2013;154:801-807.
59. Afridi SK, Giffin NJ, Kaube H, et al. A positron emission tomographic study in spontaneous migraine. Arch Neurol 2005;62:1270-1275.
60. Moulton EA, Becerra L, Maleki N, et al. Painful heat reveals hyperexcitability of the temporal pole in interictal and ictal migraine states. Cereb Cortex 2011;21:435-448.
61. Zhao L, Liu J, Dong X, et al. Alterations in regional homogeneity assessed by fMRI in patients with migraine without aura stratified by disease duration. J Headache Pain 2013;14:85.
62. Liu J, Zhao L, Li G, et al. Hierarchical alteration of brain structural and functional networks in female migraine sufferers. PLoS One 2012;7:e51250.
63. Kelman L. Migraine changes with age: IMPACT on migraine classification. Headache 2006;46:1161-1171.
64. Upadhyay J, Maleki N, Potter J, et al. Alterations in brain structure and functional connectivity in prescription opioid-dependent patients. Brain 2010;133:2098-2114.