Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
BMC Medical Imaging
Published in: BMC Medical Imaging 1/2018

Open Access 01-12-2018 | Study protocol

Structural and functional brain changes in perimenopausal women who are susceptible to migraine: a study protocol of multi-modal MRI trial

Authors: Bo Hu, Xu Wang, Jie-bing He, Yu-jie Dai, Jin Zhang, Ying Yu, Qian Sun, Lin-FengYan, Yu-Chuan Hu, Hai-Yan Nan, Yang Yang, Alan D. Kaye, Guang-Bin Cui, Wen Wang

Published in: BMC Medical Imaging | Issue 1/2018

Login to get access

Abstract

Background

As a common clinical symptom that often bothers midlife females, migraine is closely associated with perimenopause. Previous studies suggest that one of the most prominent triggers is the sudden decline of estrogen during perimenopausal period. Hormone replacement therapy (HRT) is widely used to prevent this suffering in perimenopausal women, but effective diagnostic system is lacked for quantifying the severity of the diseaase. To avoid the abuse and overuse of HRT, we propose to conduct a diagnostic trial using multimodal MRI techniques to quantify the severity of these perimenopausal migraineurs who are susceptible to the decline of estrogen.

Methods

Perimenopausal women suffering from migraine will be recruited from the pain clinic of our hospital. Perimenopausal women not suffering from any kind of headache will be recruited from the local community. Clinical assessment and multi-modal MR imaging examination will be conducted. A follow up will be conducted once half year within 3 years. Pain behavior, neuropsychology scores, fMRI analysis combined with suitable statistical software will be used to reveal the potential association between these above traits and the susceptibility of migraine.

Discussion

Multi-modal imaging features of both healthy controls and perimenopausal women who are susceptible to estrogen decline will be acquired. Imaging features will include volumetric characteristics, white matter integrity, functional characteristics, topological properties, and perfusion properties. Clinical information, such as basic information, blood estrogen level, information of migraine, and a bunch of neurological scale will also be used for statistic assessment. This clinical trial would help to build an effective screen system for quantifying the severity of illness of those susceptible women during the perimenopausal period.

Trial registration

This study has already been registered at Clinical Trials. gov (ID: NCT02820974). Registration date: September 28th, 2014.
Literature
1.
Headache Classification Committee of the International Headache S: the international classification of headache disorders, 3rd edition (beta version). Cephalalgia 2013, 33(9):629–808.
2.
Leonardi M, Steiner TJ, Scher AT, Lipton RB. The global burden of migraine: measuring disability in headache disorders with WHO's classification of functioning, disability and health (ICF). J Headache Pain. 2005;6(6):429–40.CrossRefPubMedPubMedCentral
3.
Buse DC, Lipton RB. Global perspectives on the burden of episodic and chronic migraine. Cephalalgia. 2013;33(11):885–90.CrossRefPubMed
4.
Burch RC, Loder S, Loder E, Smitherman TA. The prevalence and burden of migraine and severe headache in the United States: updated statistics from government health surveillance studies. Headache. 2015;55(1):21–34.CrossRefPubMed
5.
Buse DC, Loder EW, Gorman JA, Stewart WF, Reed ML, Fanning KM, Serrano D, Lipton RB. Sex differences in the prevalence, symptoms, and associated features of migraine, probable migraine and other severe headache: results of the American migraine prevalence and prevention (AMPP) study. Headache. 2013;53(8):1278–99.CrossRefPubMed
6.
7.
MacGregor EA. Migraine, the menopause and hormone replacement therapy: a clinical review. J Fam Plann Reprod Health Care. 2007;33(4):245–9.CrossRefPubMed
8.
9.
Martin VT, Pavlovic J, Fanning KM, Buse DC, Reed ML, Lipton RB. Perimenopause and menopause are associated with high frequency headache in women with migraine: results of the American migraine prevalence and prevention study. Headache. 2016;56(2):292–305.CrossRefPubMed
10.
Amandusson A, Blomqvist A. Estrogenic influences in pain processing. Front Neuroendocrinol. 2013;34(4):329–49.CrossRefPubMed
11.
Ibrahimi K, Couturier EG, MaassenVanDenBrink A. Migraine and perimenopause. Maturitas. 2014;78(4):277–80.CrossRefPubMed
12.
Macgregor EA. Perimenopausal migraine in women with vasomotor symptoms. Maturitas. 2012;71(1):79–82.CrossRefPubMed
13.
14.
Shuster LT, Faubion SS, Sood R, Casey PM. Hormonal manipulation strategies in the management of menstrual migraine and other hormonally related headaches. Curr Neurol Neurosci Rep. 2011;11(2):131–8.CrossRefPubMed
15.
Colombo B, Rocca MA, Messina R, Guerrieri S, Filippi M. Resting-state fMRI functional connectivity: a new perspective to evaluate pain modulation in migraine? Neurol Sci. 2015;36(Suppl 1):41–5.CrossRefPubMed
16.
Chen Z, Chen X, Liu M, Liu S, Shu S, Ma L, Yu S. Altered functional connectivity of the marginal division in migraine: a resting-state fMRI study. J Headache Pain. 2016;17(1):89.CrossRefPubMedPubMedCentral
17.
Huang J, DeLano M, Cao Y. Visual cortical inhibitory function in migraine is not generally impaired: evidence from a combined psychophysical test with an fMRI study. Cephalalgia. 2006;26(5):554–60.CrossRefPubMed
18.
Maleki N, Linnman C, Brawn J, Burstein R, Becerra L, Borsook D. Her versus his migraine: multiple sex differences in brain function and structure. Brain. 2012;135(Pt 8):2546–59.CrossRefPubMedPubMedCentral
19.
Kim JH, Suh SI, Seol HY, Oh K, Seo WK, Yu SW, Park KW, Koh SB. Regional grey matter changes in patients with migraine: a voxel-based morphometry study. Cephalalgia. 2008;28(6):598–604.CrossRefPubMed
20.
Huang Q, Lv X, He Y, Wei X, Ma M, Liao Y, Qin C, Wu Y. Structural differences in interictal migraine attack after epilepsy: a diffusion tensor imaging analysis. Epilepsy Behav. 2017;77:8–12.CrossRefPubMed
21.
Liu J, Zhao L, Lei F, Zhang Y, Yuan K, Gong Q, Liang F, Tian J. Disrupted resting-state functional connectivity and its changing trend in migraine suffers. Hum Brain Mapp. 2015;36(5):1892–907.CrossRefPubMed
22.
Alsop DC, Detre JA, Golay X, Gunther M, Hendrikse J, Hernandez-Garcia L, Lu H, MacIntosh BJ, Parkes LM, Smits M, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: a consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med. 2015;73(1):102–16.CrossRefPubMed
23.
Rusinek H, Ha J, Yau PL, Storey P, Tirsi A, Tsui WH, Frosch O, Azova S, Convit A. Cerebral perfusion in insulin resistance and type 2 diabetes. J Cereb Blood Flow Metab. 2015;35(1):95–102.CrossRefPubMed
24.
Hayes RB, Sigurdson A, Moore L, Peters U, Huang WY, Pinsky P, Reding D, Gelmann EP, Rothman N, Pfeiffer RM, et al. Methods for etiologic and early marker investigations in the PLCO trial. Mutat Res. 2005;592(1–2):147–54.CrossRefPubMed
25.
26.
27.
NeuroImage. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage. 2004;23(Suppl 1):S208–19.
28.
Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R. Movement-related effects in fMRI time-series. Magn Reson Med. 1996;35(3):346–55.CrossRefPubMed
29.
Bullmore ET, Suckling J, Overmeyer S, Rabe-Hesketh S, Taylor E, Brammer MJ. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain. IEEE Trans Med Imaging. 2002;18(1):32–42.CrossRef
30.
Valfrè W, Rainero I, Bergui M, Pinessi L. Voxel-based morphometry reveals gray matter abnormalities in migraine. Headache the J Head & Face Pain. 2010;48(1):109–17.CrossRef
31.
Jin C, Yuan K, Zhao L, Zhao L, Yu D, Deneen KMV, Zhang M, Qin W, Sun W, Tian J. Structural and functional abnormalities in migraine patients without aura. NMR Biomed. 2013;26(1):58–64.CrossRefPubMed
32.
Obermann M, Wurthmann S, Steinberg BS, Theysohn N, Diener HC, Naegel S. Central vestibular system modulation in vestibular migraine. Cephalalgia. 2014;34(13):1053–61.CrossRefPubMed
33.
Schmidtwilcke T, Gänssbauer S, Neuner T, Bogdahn U, May A. Subtle grey matter changes between migraine patients and healthy controls. Cephalalgia. 2008;28(1):1–4.CrossRef
34.
Russo A, Tessitore A, Giordano A, Corbo D, Marcuccio L, De SM, Salemi F, Conforti R, Esposito F, Tedeschi G. Executive resting-state network connectivity in migraine without aura. Cephalalgia. 2012;32(14):1041.CrossRefPubMed
35.
Tessitore A, Russo A, Giordano A, Conte F, Corbo D, Stefano MD, Cirillo S, Cirillo M, Esposito F, Tedeschi G. Disrupted default mode network connectivity in migraine without aura. J Headache & Pain. 2013;14(1):1–7.CrossRef
36.
Dai Z, Zhong J, Xiao P, Zhu Y, Chen F, Pan P, Shi H. Gray matter correlates of migraine and gender effect: a meta-analysis of voxel-based morphometry studies. Neuroscience. 2015;299:88–96.CrossRefPubMed
37.
Coppola G, Tinelli E, Lepre C, Iacovelli E, Di LC, Di LG, Serrao M, Pauri F, Fiermonte G, Bianco F. Dynamic changes in thalamic microstructure of migraine without aura patients: a diffusion tensor magnetic resonance imaging study. Eur J Neurol. 2014;21(2):287–e213.CrossRefPubMed
38.
Kara B, Kiyat AA, Onat L, Ulusoy L, Mutlu A, Sirvanci M. DTI findings during spontaneous migraine attacks. Clin Neuroradiol. 2013;23(1):31.CrossRefPubMed
39.
Yu D, Yuan K, Zhao L, Dong M, Liu P, Yang X, Liu J, Sun J, Zhou G, Xue T. White matter integrity affected by depressive symptoms in migraine without aura: a tract-based spatial statistics study. NMR Biomed. 2013;26(9):1103–12.CrossRefPubMed
40.
Kai Y, Wei Q, Peng L, Ling Z, Yu D, Zhao L, Dong M, Liu J, Yang X, Deneen KMV. Reduced fractional anisotropy of Corpus callosum modulates inter-hemispheric resting state functional connectivity in migraine patients without Aura. PLoS One. 2012;7(9):e45476.CrossRef
41.
Rocca MA, Pagani E, Colombo B, Tortorella P, Falini A, Comi G, Filippi M. Selective diffusion changes of the visual pathways in patients with migraine: a 3-T tractography study. Cephalalgia. 2008;28(10):1061–8.CrossRefPubMed
42.
Eidlitz-Markus T, Zeharia A, Haimi-Cohen Y, Konen O. MRI white matter lesions in pediatric migraine. Cephalalgia. 2013;33(11):906–13.CrossRefPubMed
43.
Candee MS, McCandless RT, Moore KR, Arrington CB, Minich LL, Bale JF, Jr.: White matter lesions in children and adolescents with migraine. Pediatr Neurol 2013, 49(6):393–396.
44.
Mainero C, Boshyan J, Hadjikhani N. Altered functional magnetic resonance imaging resting-state connectivity in periaqueductal gray networks in migraine. Ann Neurol. 2011;70(5):838–45.CrossRefPubMedPubMedCentral
45.
Tso AR, Trujillo A, Guo CC, Goadsby PJ, Seeley WW. The anterior insula shows heightened interictal intrinsic connectivity in migraine without aura. Neurology. 2015;84(10):1043–50.CrossRefPubMedPubMedCentral
46.
Tessitore A, Russo A, Conte F, Giordano A, De Stefano M, Lavorgna L, Corbo D, Caiazzo G, Esposito F, Tedeschi G. Abnormal connectivity within executive resting-state network in migraine with Aura. Headache. 2015;55(6):794–805.CrossRefPubMed
47.
Russo A, Marcelli V, Esposito F, Corvino V, Marcuccio L, Giannone A, Conforti R, Marciano E, Tedeschi G, Tessitore A. Abnormal thalamic function in patients with vestibular migraine. Neurology. 2014;82(23):2120–6.CrossRefPubMed
48.
Liu J, Zhao L, Li G, Xiong S, Nan J, Li J, Yuan K, von Deneen KM, Liang F, Qin W, et al. Hierarchical alteration of brain structural and functional networks in female migraine sufferers. PLoS One. 2012;7(12):e51250.CrossRefPubMedPubMedCentral
49.
Nishimiya M, Matsuda H, Imabayashi E, Kuji I, Sato N. Comparison of SPM and NEUROSTAT in voxelwise statistical analysis of brain SPECT and MRI at the early stage of Alzheimer's disease. Ann Nucl Med. 2008;22(10):921–7.CrossRefPubMed
50.
Ansar MA, Osaki Y, Kazui H, Oku N, Takasawa M, Kimura Y, Begum NN, Ikejiri Y, Takeda M, Hatazawa J. Effect of linearization correction on statistical parametric mapping (SPM): a 99mTc-HMPAO brain perfusion SPECT study in mild Alzheimer’s disease. Ann Nucl Med. 2006;20(8):511–7.CrossRefPubMed
51.
Youssef AM, Ludwick A, Wilcox SL, Lebel A, Peng K, Colon E, Danehy A, Burstein R, Becerra L, Borsook D. In child and adult migraineurs the somatosensory cortex stands out ... Again: an arterial spin labeling investigation. Hum Brain Mapp. 2017;38(8):4078–87.CrossRefPubMedPubMedCentral
52.
Cadiot D, Longuet R, Bruneau B, Treguier C, Carsin-Vu A, Corouge I, Gomes C, Proisy M. Magnetic resonance imaging in children presenting migraine with aura: association of hypoperfusion detected by arterial spin labelling and vasospasm on MR angiography findings. Cephalalgia. 2018;38(5):949–58.CrossRefPubMed
53.
Gil-Gouveia R, Pinto J, Figueiredo P, Vilela PF, Martins IP. An arterial spin labeling MRI perfusion study of migraine without Aura attacks. Front Neurol. 2017;8:280.CrossRefPubMedPubMedCentral
Metadata
Title
Structural and functional brain changes in perimenopausal women who are susceptible to migraine: a study protocol of multi-modal MRI trial
Authors
Bo Hu
Xu Wang
Jie-bing He
Yu-jie Dai
Jin Zhang
Ying Yu
Qian Sun
Lin-FengYan
Yu-Chuan Hu
Hai-Yan Nan
Yang Yang
Alan D. Kaye
Guang-Bin Cui
Wen Wang
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2018
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-018-0272-6

Other articles of this Issue 1/2018

BMC Medical Imaging 1/2018 Go to the issue

Research article

Quantification of liver iron overload disease with laser ablation inductively coupled plasma mass spectrometry

Research article

Utility of routine ultrasonography follow-up after total thyroidectomy in patients with papillary thyroid carcinoma: a single-center study

Research article

Automatic brain tissue segmentation based on graph filter

Research article

A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images

Research article

MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

Case report

Incidental finding of large pneumothorax on Cardiac MR scan