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White matter hyperintensities and cerebral microbleeds in persistent post-traumatic headache attributed to mild traumatic brain injury: a magnetic resonance imaging study

Abstract

Objective

To examine whether white matter hyperintensities (WMHs) and cerebral microbleeds (CMBs) are more prevalent in people with persistent post-traumatic headache attributed to mild traumatic brain injury (TBI), compared with healthy controls.

Methods

A magnetic resonance imaging (MRI) study of adults with persistent post-traumatic headache attributed to mild TBI and age- and gender-matched healthy controls. A semi-structured interview and validated self-report instruments were used to record data on demographics, clinical characteristics, and comorbidities. Imaging data were obtained on a 3T MRI Scanner using a 32-channel head coil. Participants and controls underwent a single MRI session, in which fluid-attenuated inversion recovery was used to visualize WMHs, and susceptibility-weighted imaging was used to detect CMBs. The primary outcomes were (I) the difference in the mean number of WMHs between participants with persistent post-traumatic headache and healthy controls and (II) the difference in the mean number of CMBs between participants with persistent post-traumatic headache and healthy controls. All images were examined by a certified neuroradiologist who was blinded to the group status of the participants and controls.

Results

A total of 97 participants with persistent post-traumatic headache and 96 age- and gender-matched healthy controls provided imaging data eligible for analyses. Among 97 participants with persistent post-traumatic headache, 43 (44.3%) participants presented with ≥ 1 WMH, and 3 (3.1%) participants presented with ≥ 1 CMB. Compared with controls, no differences were found in the mean number of WMHs (2.7 vs. 2.1, P = 0.58) and the mean number of CMBs (0.03 vs. 0.04, P = 0.98).

Conclusions

WMHs and CMBs were not more prevalent in people with persistent post-traumatic headache than observed in healthy controls. Future studies should focus on other MRI techniques to identify radiologic biomarkers of post-traumatic headache.

Peer Review reports

Introduction

Post-traumatic headache is a disabling neurologic disorder, which is most often attributed to mild traumatic brain injury (TBI), [1]. Although the disorder tends to remit spontaneously in most people, some experience persistence of headache which can last years and resists all varieties of treatment [1,2,3,4,5].

The neurobiologic basis of post-traumatic headache is not fully understood [6], but magnetic resonance imaging (MRI) is increasingly being used to investigate whether structural lesions might be related to sequelae of mild TBI, including headache [7, 8]. The reported associations of mild TBI with white matter hyperintensities (WMHs) and cerebral microbleeds (CMBs) have raised questions about the significance of these findings [9,10,11], and whether they are related to the genesis of cephalic pain after head trauma. A growing body of evidence is being marshalled in support of this assertion, and one recent MRI study showed findings suggestive of increased iron accumulation in people with acute post-traumatic headache, compared with age-matched healthy controls [12]. In this context, the iron accumulation might indicate the presence of CMBs. The latter is best evaluated using susceptibility-weighted imaging (SWI), which is superior to conventional T2*-weighted gradient-recalled echo imaging in detecting CMBs [13,14,15]. There is however no data on the extent of WMHs and CMBs in people with persistent post-traumatic headache. As such, it seems timely to explore if any such relationship exists which, in turn, might establish the first radiologic biomarkers of persistent post-traumatic headache.

In this cross-sectional MRI study, we examine whether WMHs and CMBs are more prevalent in 97 people with persistent post-traumatic headache attributed to mild TBI, compared with 96 age- and gender-matched healthy controls. To this end, we used the fluid-attenuated inversion recovery (FLAIR) sequence to visualize WMHs and SWI to detect CMBs.

Methods

Study oversight

The study protocol was approved by the relevant ethics committee, and the study was conducted in adherence to the principles of the Declaration of Helsinki. All participants provided written informed consent before any study-related procedures or tasks were performed. A group of site investigators (H.A., R.H.C., and F.M.A.) reviewed the acquired data, and all authors vouch for the accuracy and completeness of the data. The first and senior author had unrestricted data access and drafted the initial version of the manuscript, which was revised for important intellectual content by all authors.

Study population

Participants and healthy controls were identified and enrolled with previous published methods [16, 17]. Eligible participants were aged 18 to 65 years and had a diagnosis of persistent post-traumatic headache in accordance with the 3rd edition of the International Classification of Headache Disorders (ICHD-3), [18]. Another inclusion criterion was that mild TBI had to have occurred at least 12 months before enrollment. Participants were excluded if they had a history of more than one TBI as well as any history of whiplash injury, medication-overuse headache, or a primary headache disorder, except for infrequent episodic tension-type headache (TTH). Contraindications to MRI were also considered reasons for exclusion. Detailed eligibility criteria have been published elsewhere [19].

Healthy controls were eligible for inclusion if they were aged 18 to 65 years and had no history of TBI, whiplash injury, primary headache disorder (except for infrequent episodic TTH), neurologic or psychiatric disorders, and cardiovascular disease. Controls were also excluded if they had first-degree relatives with any primary headache disorder or reported daily intake of any medication other than oral contraceptives.

Study design and procedures

The present study had a cross-sectional design and was conducted between July 2018 and June 2019 at a single center. Data were collected using a semi-structured interview and included information on demographics, clinical characteristics, comorbidities, and medication history. Additional data on the presence of comorbid anxiety, depression, and mild cognitive impairment was collected using validated self-report instruments, as detailed elsewhere [17]. The Hospital Anxiety and Depression Scale (HADS) was used to screen for anxiety and depression separately in both participants and controls [16], whereas the Montreal Cognitive Assessment (MoCA) questionnaire was used to screen for mild cognitive impairment in participants only [20]. In addition, the Pittsburg Sleep Quality Index (PSQ-I) was used to evaluate quality of sleep in both participants and controls [21]. Imaging data were obtained on a 3T MRI Scanner (Philips Achieva) using a 32-channel head coil. Participants and controls underwent a single MRI session with a standardized protocol that included 3D T1-weighted images, SWI, and T2-weighted FLAIR.

Image analysis

All images were transferred to a centralized server, where they were examined by a certified neuroradiologist (D.T.) who was blinded to the group status of the participants and controls. Images were interpreted for the presence, number, and location of WMHs on FLAIR and CMBs on SWI. WMHs were defined as hyperintense lesions that were ≥ 2 mm and visible on FLAIR, whereas CMBs were defined as punctate or ovoid lesions visible on SWI. The Fazekas scale was used to rate the size and confluence of exclusively periventricular WMHs on a 4-point Likert scale, with a score of 0 indicating absence of WMHs while a score of 3 denotes pronounced white matter pathology. More details on the Fazekas scale have been published elsewhere [22]. Pathologic findings and lesions that were poorly contrasted (e.g., due to motion artifacts or bad image quality) were excluded from the final analysis. All detected anatomical variants and structural abnormalities were recorded, and incidental findings of clinical relevance were elaborated in a text box which allowed the neuroradiologist to provide guidance on recommended clinical and/or imaging follow-up. The resulting report was sent to the senior author (F.M.A.) who was then responsible for initiation of appropriate follow-up. Fifteen scans were excluded due to insufficient image quality or pathologic findings requiring clinical referral.

Outcomes

The primary outcomes were (I) the difference in the mean number of WMHs between participants with persistent post-traumatic headache and healthy controls and (II) the difference in the mean number of CMBs between participants with persistent post-traumatic headache and healthy controls. The secondary outcomes were (I) the difference in the number of individuals with ≥ 1 WMHs between participants and controls and (II) the difference in the number of individuals with ≥ 1 CMBs between participants and controls.

Statistical analysis

Descriptive statistics were used to summarize demographics and clinical characteristics. Normal distribution was assessed visually and using the Shapiro–Wilk test. Continuous data were presented with means and standard deviations (SDs) when normally distributed and with medians and interquartile ranges (IQR) when not normally distributed. Categorical data was summarized as proportions (or percentages). The Mann–Whitney U test was used to compare the mean number of WMHs and CMBs between participants with persistent post-traumatic headache and healthy controls. The Fisher’s exact test was used for comparisons of the number of individuals with ≥ 1 WMHs and the number individuals with ≥ 1 CBMs between participants and controls. Correlation coefficients, ρ, were calculated using the Spearman rank test. The level of significance was set at P < 0.05 (2-sided), and no corrections were made for multiple comparisons.

Results

A total of 97 enrolled participants with persistent post-traumatic headache and 96 age- and gender-matched healthy controls provided imaging data on WMHs and CMBs that were deemed eligible for analyses (Fig. 1). Fifteen scans were excluded due to insufficient image quality or pathologic findings that required clinical referral.

Fig. 1
figure 1

Flow of Participant Enrollment

Participants’ mean age was 35.8 ± 11.6 years, and 80 (82.5%) were women. Age and gender were comparable between participants and controls (Table 1). In addition, participants reported a mean headache frequency of 25.5 ± 7.1 days per month, and most participants had a migraine-like phenotype (88 [90.8%] of 97). The clinical characteristics of the participants are described in Table 2.

Table 1 Summary of the Study Populations
Table 2 Characteristics of the Post-Traumatic Headache Population

White matter hyperintensities

Among 97 participants with persistent post-traumatic headache, 43 (44.3%) presented with ≥ 1 WMH, 30 (30.9%) had ≥ 2 WMHs, and 20 (20.6%) had ≥ 3 WMHs (Table 1, Fig. 2). No WMHs were observed in the other 54 (55.7%) participants. There was no difference in the mean number of WMHs between participants with persistent post-traumatic headache and age- and gender-matched healthy controls (2.7 vs. 2.1, P = 0.58; Table 1). We found no difference in the number of individuals with ≥ 1 WMHs between participants and controls (43 vs. 48, P = 0.47). Exploratory analyses revealed no correlations of number of WMHs with HADS anxiety scores, HADS depression scores, MoCA scores, global PSQ-I score, or headache intensity on the MRI scan day (Table 3).

Table 3 Correlations of White Matter Hyperintensities with Anxiety, Depression, Mild Cognitive Impairment, Poor Quality of Sleep, Headache Intensity, and Disease Duration in Persistent Post-Traumatic Headache (n = 97)
Fig. 2
figure 2

Example of white matter hyperintensities

Cerebral microbleeds

Among 97 participants with persistent post-traumatic headache, 3 (3.1%) presented with 1 CMB. No CMBs were found in the other 94 (96.9%) participants (Table 1, Fig. 3). The mean number of CMBs did not differ between participants with persistent post-traumatic headache and age- and gender-matched healthy controls (0.3 vs. 0.4, P = 0.98). In addition, we found no difference in the number of individuals with ≥ 1 CMBs between participants and controls (3 vs. 3 P = 1.00).

Fig. 3
figure 3

Example of a Cerebral Microbleed

Discussion

The main findings of this study were that WMHs and CMBs are not more prevalent in people with persistent post-traumatic headache, compared with age- and gender-matched healthy controls. To our knowledge, the present study is the first to assess the associations of persistent post-traumatic headache with WMHs and CMBs.

From a clinical perspective, it is interesting to know the prevalence of WMHs and CMBs in people with persistent post-traumatic headache, as this can help contextualize the importance of similar findings on clinical imaging. However, the present data did not support any association of persistent post-traumatic headache with WMHs and CBMs. This aligns well with some previous reports that included people with mild TBI or post-concussive sequelae [23, 24]. For example, one MRI study scanned 45 ice hockey players at the beginning and the end of the hockey season [23]. The authors found no significant changes in the number of WMHs and CMBs attributable to concussion when comparing baseline with follow-up scans. In line with this observation, another MRI study reported no differences between 127 participants with post-concussion syndrome and 29 age- and sex-matched controls in terms of WMHs and CMBs [24]. Among the 127 participants, WMHs were observed in 28 (22.0%) participants, and CMBs were detectable only in 2 (1.6%) participants. It does, nonetheless, merit emphasis that there is conflicting MRI data on whether mild TBI is associated with WMHs and CMBs [9,10,11]. Indeed, one MRI study reported that CMBs were present in 26 (23.4%) of 111 patients with mild TBI, compared with 12 (10.8%) of 111 controls [10]. The authors used susceptibility-weighted angiography to detect CMBs, whereas the present study used SWI. There is, to our knowledge, no robust evidence of susceptibility-weighted angiography being superior to SWI in detecting CMBs. In another MRI study [25], the authors found no evidence of mild TBI being associated with CMBs, as only 29 (3.5%) of 768 participants had detectable CMBs. Interestingly, the same study reported that 432 (51.8%) of 834 participants with predominantly mild TBI had WMHs, compared with 16 (38.1%) of 42 controls [26]. Taken together, there is no firm evidence to support an association of mild TBI or its sequelae with WMHs and CMBs that can contextualize findings on clinical imaging.

The incongruent prevalence rates of WMHs and CMBs across MRI studies might be attributed to differences in subject selection and methods used. Several studies have established that the number of WMHs and CMBs increases with older age [26,27,28], and CMBs are furthermore associated with hypertension [27]. There is also MRI data to support that the number and volume of CMBs decrease over time in military service members with TBI [29]. Thus, it cannot be excluded that CMBs might be pathogenic drivers of post-traumatic headache in the acute phase. In fact, recent MRI data showed increased iron accumulation in specific brain regions of 20 people with acute post-traumatic headache, compared with 20 healthy controls [12]. Iron accumulation might reflect CMBs, but more evidence is needed to examine adequately whether acute post-traumatic headache is associated with CMBs. On a different note, the choice of MRI sequence is also important in detecting CMBs, as SWI has been shown to be more sensitive than conventional gradient-recalled echo imaging [30].

Limitations

This study has several limitations. First, our cross-sectional design does not allow for causality to be inferred. In regard to CMBs, we can also not exclude a decrease in number and volume since the mild TBI occurred. Nonetheless, it seems less likely that CMBs are of pathophysiologic importance, as we observed them in only 3 (3.1%) of 97 participants with persistent post-traumatic headache. Second, participants were identified mainly from the outpatient clinic of the Danish Headache Center. The study population is thus not representative of people with persistent post-traumatic headache in the general population, as the present study population is probably more adversely affected. Third, the present study included predominantly female participants, and we can therefore not exclude that WMHs and CMBs have pathophysiologic importance in males with persistent post-traumatic headache. Fourth, WMHs and CMBs were quantified by only one board-certified neuroradiologist. This approach might be prone to errors, and verification from other neuroradiologist should be considered in future investigations. Lastly, we cannot exclude that the number of CMBs were underestimated, as imaging techniques are so far inferior to histopathologic analysis [30].

Conclusions

Among people with persistent post-traumatic headache, WMHs and CMBs are not more prevalent than observed in age- and gender-matched healthy controls free of headache and TBI. Future MRI studies should focus on identifying radiological biomarkers of persistent post-traumatic headache using diffusion, functional, or metabolic imaging.

References

  1. Ashina H, Eigenbrodt AK, Seifert T, Sinclair AJ, Scher AI, Schytz HW, Lee MJ, de Icco R, Finkel AG, Ashina M (2021) Post-traumatic headache attributed to traumatic brain injury: classification, clinical characteristics, and treatment. Lancet Neurol 20(6):460–469. https://doi.org/10.1016/S1474-4422(21)00094-6

    Article  PubMed  Google Scholar 

  2. Voormolen DC, Haagsma JA, Polinder S, Maas AIR, Steyerberg EW, Vuleković P, Sewalt CA, Gravesteijn BY, Covic A, Andelic N, Plass AM, von Steinbuechel N (2019) Post-concussion symptoms in complicated vs. uncomplicated mild traumatic brain injury patients at three and six months post-injury: results from the CENTER-TBI study. J Clin Med 8(11):1921. https://doi.org/10.3390/jcm8111921

    Article  PubMed  PubMed Central  Google Scholar 

  3. Yilmaz T, Roks G, de Koning M, Scheenen M, van der Horn H, Plas G, Hageman G, Schoonman G, Spikman J, van der Naalt J (2017) Risk factors and outcomes associated with post-traumatic headache after mild traumatic brain injury. Emerg Med J 34(12):800–805. https://doi.org/10.1136/emermed-2015-205429

    Article  PubMed  Google Scholar 

  4. Ingebrigtsen T, Waterloo K, Marup-Jensen S, Attner E, Romner B (1998) Quantification of post-concussion symptoms 3 months after minor head injury in 100 consecutive patients. J Neurol 245(9):609–612. https://doi.org/10.1007/s004150050254

    Article  CAS  PubMed  Google Scholar 

  5. Xu H, Pi H, Ma L, Su X, Wang J (2016) Incidence of headache after traumatic brain injury in China: a large prospective study. World Neurosurg 88:289–296. https://doi.org/10.1016/j.wneu.2015.12.028

    Article  PubMed  Google Scholar 

  6. Ashina H, Porreca F, Anderson T, Amin FM, Ashina M, Schytz HW, Dodick DW (2019) Post-traumatic headache: epidemiology and pathophysiological insights. Nat Rev Neurol 15(10):607–617. https://doi.org/10.1038/s41582-019-0243-8

    Article  PubMed  Google Scholar 

  7. Rau JC, Dumkrieger GM, Chong CD, Schwedt TJ (2018) Imaging post-traumatic headache. Curr Pain Headache Rep 22(10):64. https://doi.org/10.1007/s11916-018-0719-z

    Article  PubMed  Google Scholar 

  8. Chong CD, Schwedt TJ (2018) Research imaging of brain structure and function after concussion. Headache 58(6):827–835. https://doi.org/10.1111/head.13269

    Article  PubMed  Google Scholar 

  9. Trifan G, Gattu R, Haacke EM, Kou Z, Benson RR (2017) MR imaging findings in mild traumatic brain injury with persistent neurological impairment. Magn Reson Imaging 37:243–251. https://doi.org/10.1016/j.mri.2016.12.009

    Article  PubMed  Google Scholar 

  10. Huang YL, Kuo YS, Tseng YC, Chen DY, Chiu WT, Chen CJ (2015) Susceptibility-weighted MRI in mild traumatic brain injury. Neurology 84(6):580–585. https://doi.org/10.1212/WNL.0000000000001237

    Article  PubMed  Google Scholar 

  11. de Haan S, de Groot JC, Jacobs B, van der Naalt J (2017) The association between microhaemorrhages and post - traumatic functional outcome in the chronic phase after mild traumatic brain injury. Neuroradiology 59(10):963–969. https://doi.org/10.1007/s00234-017-1898-8

    Article  PubMed  Google Scholar 

  12. Nikolova S, Schwedt TJ, Li J, Wu T, Dumkrieger GM, Ross KB, Berisha V, Chong CD (2022) T2* reduction in patients with acute post-traumatic headache. Cephalalgia 42(4–5):357–365. https://doi.org/10.1177/03331024211048509

    Article  PubMed  Google Scholar 

  13. Goos JD, van der Flier WM, Knol DL, Pouwels PJ, Scheltens P, Barkhof F, Wattjes MP (2011) Clinical relevance of improved microbleed detection by susceptibility-weighted magnetic resonance imaging. Stroke 42(7):1894–900. https://doi.org/10.1161/STROKEAHA.110.599837

    Article  PubMed  Google Scholar 

  14. Cheng AL, Batool S, McCreary CR, Lauzon ML, Frayne R, Goyal M, Smith EE (2013) Susceptibility-weighted imaging is more reliable than T2*-weighted gradient-recalled echo MRI for detecting microbleeds. Stroke 44(10):2782–6. https://doi.org/10.1161/STROKEAHA.113.002267

    Article  PubMed  Google Scholar 

  15. Nandigam RN, Viswanathan A, Delgado P, Skehan ME, Smith EE, Rosand J, Greenberg SM, Dickerson BC (2009) MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength. AJNR Am J Neuroradiol 30(2):338–43. https://doi.org/10.3174/ajnr.A1355

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Ashina H, Iljazi A, Al-Khazali HM, Ashina S, Jensen RH, Amin FM et al (2020) Persistent post-traumatic headache attributed to mild traumatic brain injury: deep phenotyping and treatment patterns. Cephalalgia 40(6):554–564. https://doi.org/10.1177/0333102420909865

    Article  PubMed  Google Scholar 

  17. Ashina H, AL-Khazali HM, Iljazi A, Ashina S, Amin FM, Lipton RB, Schytz HW (2021) Psychiatric and cognitive comorbidities of persistent post-traumatic headache attributed to mild traumatic brain injury. J Headache Pain 22(1):83. https://doi.org/10.1186/s10194-021-01287-7

    Article  PubMed  PubMed Central  Google Scholar 

  18. Headache Classification Committee of the International Headache Society (IHS) (2018) The international classification of headache disorders, 3rd edition. Cephalalgia 38(1):1–211. https://doi.org/10.1177/0333102417738202

    Article  Google Scholar 

  19. Snaith RP (2003) The hospital anxiety and depression scale. Health Qual Life Outcomes 1(1):29. https://doi.org/10.1186/1477-7525-1-29

    Article  PubMed  PubMed Central  Google Scholar 

  20. Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I et al (2005) The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53(4):695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x

    Article  PubMed  Google Scholar 

  21. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res 28(2):193–213. https://doi.org/10.1016/0165-1781(89)90047-4

    Article  CAS  PubMed  Google Scholar 

  22. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA (1987) MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol 149(2):351–6. https://doi.org/10.2214/ajr.149.2.351

    Article  CAS  PubMed  Google Scholar 

  23. Jarrett M, Tam R, Hernández-Torres E, Martin N, Perera W, Zhao Y, Shahinfard E, Dadachanji S, Taunton J, Li DK, Rauscher A (2016) A prospective pilot investigation of brain volume, white matter hyperintensities, and hemorrhagic lesions after mild traumatic brain injury. Front Neurol 7:11. https://doi.org/10.3389/fneur.2016.00011

    Article  PubMed  PubMed Central  Google Scholar 

  24. Panwar J, Hsu CC, Tator CH, Mikulis D (2020) Magnetic resonance imaging criteria for post-concussion syndrome: a study of 127 post-concussion syndrome patients. J Neurotrauma 37(10):1190–1196. https://doi.org/10.1089/neu.2019.6809

    Article  PubMed  Google Scholar 

  25. Riedy G, Senseney JS, Liu W, Ollinger J, Sham E, Krapiva P, Patel JB, Smith A, Yeh PH, Graner J, Nathan D, Caban J, French LM, Harper J, Eskay V, Morissette J, Oakes TR (2016) Findings from Structural MR imaging in military traumatic brain injury. Radiology 279(1):207–215. https://doi.org/10.1148/radiol.2015150438

    Article  PubMed  Google Scholar 

  26. Hopkins RO, Beck CJ, Burnett DL, Weaver LK, Victoroff J, Bigler ED (2006) Prevalence of white matter hyperintensities in a young healthy population. J Neuroimaging 16(3):243–251. https://doi.org/10.1111/j.1552-6569.2006.00047.x

    Article  PubMed  Google Scholar 

  27. Vernooij MW, van der Lugt A, Ikram MA, Wielopolski PA, Niessen WJ, Hofman A, Krestin GP, Breteler MM (2008) Prevalence and risk factors of cerebral microbleeds: the Rotterdam Scan Study. Neurology 70(14):1208–1214. https://doi.org/10.1212/01.wnl.0000307750.41970.d9

    Article  CAS  PubMed  Google Scholar 

  28. Poels MM, Vernooij MW, Ikram MA, Hofman A, Krestin GP, van der Lugt A, Breteler MM (2010) Prevalence and risk factors of cerebral microbleeds: an update of the Rotterdam scan study. Stroke 41(10 Suppl):S103–S106. https://doi.org/10.1161/STROKEAHA.110.595181

    Article  PubMed  Google Scholar 

  29. Liu W, Soderlund K, Senseney JS, Joy D, Yeh PH, Ollinger J, Sham EB, Liu T, Wang Y, Oakes TR, Riedy G (2016) Imaging cerebral microhemorrhages in military service members with chronic traumatic brain injury. Radiology 278(2):536–545. https://doi.org/10.1148/radiol.2015150160

    Article  PubMed  Google Scholar 

  30. Haller S, Vernooij MW, Kuijer JPA, Larsson EM, Jäger HR, Barkhof F (2018) Cerebral microbleeds: imaging and clinical significance. Radiology 287(1):11–28. https://doi.org/10.1148/radiol.2018170803

    Article  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The study was supported by research grants from the Rigshospitalet Research Foundation (F-23340–02), Brødrene Hartmanns Foundation (A33920), American Brain Foundation, American Academy of Neurology, and the International Headache Society.

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Authors and Affiliations

Authors

Contributions

Study concept and design: H.A., H.W.S. F.M.A. Data acquisition and analysis: H.A., R.H.C., H.M.A., A.I., D.T., A.K.E., H.B.W.L., U.L. Drafting of the manuscript: H.A., F.M.A. Critical revision of the manuscript: R.H.C., H.M.A., A.I., D.T., A.K.E., H.B.W.L., U.L. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Faisal Mohammad Amin.

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Competing interests

H.A. reports personal fees from Teva, outside of the submitted work. H.W.S. has received personal fees from Novartis, Eli Lilly, Lundbeck, Abbvie, and Teva, outside of the submitted work. F.M.A. has received personal fees from Pfizer, Teva, Lundbeck, Novartis, Eli Lilly, outside of the submitted work. The other authors declare no conflicts of interest.

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Ashina, H., Christensen, R.H., Al-Khazali, H.M. et al. White matter hyperintensities and cerebral microbleeds in persistent post-traumatic headache attributed to mild traumatic brain injury: a magnetic resonance imaging study. J Headache Pain 24, 15 (2023). https://doi.org/10.1186/s10194-023-01545-w

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