Skip to main content

Hypoechogenicity of brainstem raphe correlates with depression in migraine patients

Abstract

Background

Brainstem raphe (BR) hypoechogenicity in transcranial sonography (TCS) has been depicted in patients with major depression (MD) and in depressed patients with different neurodegenerative diseases. But, up to date, the association of BR alterations in TCS with depression in migraineurs has never been reported. This study was to investigate the possible role of BR examination via TCS in migraineurs with depression.

Methods

Forty two migraine without aura (MwoA) patients and 40 healthy controls were recruited. Echogenicity of lentiform nuclei (LN), caudate nuclei (CN), substantia nigra (SN) and brainstem raphe (BR) and width of the frontal horns of the lateral ventricles and the third ventricle were assessed with TCS. The diagnosis of depression was based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders IV (DSM –IV), and the severity of depression was measured by Hamilton Rating Scale for Depression (HAM-D) and Hospital Anxiety and Depression Scale depression subscale (HADS-D).

Results

There were no significant differences between migraineurs and controls in the width of frontal horn of the lateral ventricle (p = 0.955), width of third ventricle (p = 0.129) as well as in the echogenicity of SN (p = 0.942), CN (p = 0.053), LN (p = 0.052) and BR (p = 0.677). Here, it seems that more migraineurs were detected with increased echogenecity of CN and LN compared with controls (33.3% versus 15.0% for CN, 19.0% versus 5.0% for LN) though they had no statistical significance. Patients with hypoechogenic BR had significantly higher HAM-D and HADS-D scores than those with normal BR signal (p = 0.000 for both HAM-D and HADS-D), and most (83.33%) migraineurs with depression exhibited hypoechogenic raphe but none (0.00%) of the migraineurs without depression exhibited hypoechogenic raphe (p = 0.000).

Conlusions

TCS signal alteration of BR can be a biomarker for depression in migraine but it is not associated with migraine headache itself. LN and CN alterations in TCS may reflect a potential role of them in the pathogenesis of migraine, which needs to be further elucidated.

Background

Transcranial sonography (TCS) is a reliable and non-invasive neuroimaging technique for detecting small deep brain parenchyma such as basal ganglia (BG), substantia nigra (SN) and brainstem raphe (BR) [1]. The hyperechogenicity of SN has high accuracy in the diagnosis of PD [2]. The hypoechogenicity of BR has been found to be associated with depression in a number of neurological disorders such as Parkinson’s disease (PD) [3], Huntington’s disease [4], idiopathic Rapid Eye Movement (REM) sleep behavior disorder [5], myotonic dystrophies [6] and cerebral small vessel disease [7]. Recently, the hypoechogenicity of BR has been proposed as biomarker for depression in PD [3], and even it can be used to improve detection of depressive symptoms in early PD stages where affective disturbances may not be recognized by clinicians in the context of PD phenomena [8].

The comorbid relationship between migraine and depressive disorder are well-known. The risk of comorbid depressive disorder in migraineurs is over 2.5 times higher than in non-migraineurs [9, 10], vise versa, the risk of comorbid migraine in major depressive disorder (MDD) patients is 2 to 3 times higher than in non-MDD controls [11]. Depression has been shown to be the most relevant psychiatric comorbidities associated with migraine, influencing the prevelance, treatment and prognosis of migraine [12]. On the other hand, growing evidences indicate that comorbid depression is a risk factor for chronification of migraine and development of medication overuse headache [13]. But, up to date, it has never been reported about the association of BR alterations in TCS with depression in migraineurs, though BR hypoechogenicity has been shown to be correlated to higher headache attack frequency in migraineurs without depression in one study [14] but not in another one study [15].

In order to investigate the possible role of BR in migraine with depression, migraine without aura (MwoA) patients with or without depression will be included in this study. Possible alterations of BR echogenicity in TCS in migraineurs will be studied in comparison with the healthy control. And possible difference in BR echogenicity between migraineurs with and without depression will be studied. On the other hand, possible alterations of the width of frontal horn of the lateral ventricle and the third ventricle as well as of the echogenicity of substantia nigra(SN), caudate nuclei (CN) and lentiform nuclei (LN) will also be studied, as alterations of these deep brain structures have been identified either in migraine [16,17,18,19] or in depression [20, 21].

Methods

Subjects

A total of 42 patients fulfilling the International Headache Society (IHS) classification criteria for MwoA [22] were prospectively screened from the Outpatient Clinic of the Department of Neurology, the First Affiliated Hospital of Anhui Medical University, China. Migraine with aura (MA) patients were not included in this study in order to avoid possible statistical analysis confusion caused by fewer cases of MA as much fewer MA patients are available in clinic. All included patients had recurrent headaches and none of them had ever accepted regular prophylactic therapy before this study. All migraineurs had no history of other types of headaches. Magnetic resonance imaging (MRI) was performed in a headache-free period for all patients. With the exception of depression, all other comorbid conditions that may lead to brain structure alterations were excluded, such as diabetes mellitus, hypertension, high LDL-cholesterol, hyperuricemia, kidney disease, hepatopathy, autoimmune disease, cardiac source of embolism, smoking and obesity. The demographic and clinical data of the patients were the following: female to male 26: 16; mean age 34.1 ± 9.1, range 24–55 years; disease duration 7.9 ± 7.7, range 0.5–25 years; attack frequency/month 1.0, range 1.0–3.0 (Table 1). As controls, 40 age and gender-matched healthy subjects were included (mean age 31.6 ± 8.6, range 22–55 years (Table 1). All control subjects had no history of recurrent headaches. Subjects with inadequate temporal bone window were excluded. Depression was measured by using the Hamilton Rating Scale for Depression (HAM-D) and the depression subscale of the Hospital Anxiety and Depression Scale depression subscale (HADS-D). The diagnosis of depression was based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders IV (DSM –IV).

Table 1 Demographic and clinical characteristics of migraine patients and controls

Transcranial sonography

TCS examination was conducted by Dr. Xue-Gong Shi, an experienced sonographer who has been engaged in ultrasound for 26 years and he was blinded to clinical scores of the enrolled participants in this study. A phased-array ultrasound system equipped with a 1.6–2.5 MHz transducer (EPIQ 7C, Philips, USA) was employed for the examination. A dynamic range of 45–55 dB and penetration depth of 14–16 cm through the transtemporal bone window were used [23, 24]. For each examination, the image brightness and time gain compensations were adapted as needed.

TCS examination was carried out on standardized axial imaging planes as recommended for deep brain parenchyma detection [24]. At the diencephalic plane, we measured the width of the frontal horns of the lateral ventricles, the transverse diameter of the third ventricle (Fig. 1e), and the echogenicity of LN and CN. Echogenic alterations of LN and CN were identified as hyperechogenic if they looked more intense than the surrounding white matter (Fig. 1a, e). Normal ranges of ventricle widths are age-dependent. In subjects under/over the age of 60, widths of > 7/> 10 mm (3rd ventricle) and > 17/> 20 mm (frontal horn) are regarded as abnormal [25]. At the mesencephalic plane, we measured the echogenecity of SN and BR. The size of SN smaller than 0.20 cm2 is considered normal, larger than 0.20 cm2 is rated as hyperechogenicity [26] (Fig. 1d). The echogenicity of the BR was assessed semiquantitatively using three-point scale: 0 = raphe not visible (Fig.1c), 1 = reduced or interrupted echogenicity (the echogenic line of the brainstem raphe is interrupted or appears abnormally slight, thin or dotted) (Fig. 1b) and 2 = normal echogenicity (continuous line with an echogenicity similar to that of red nucleus). The raphe echogenicity graded 0 or 1 was classified as abnormal, and graded 2 was normal [25] (Fig. 1a).

Fig. 1
figure 1

TCS images of mesencephalic (a, b, c, d) and diencephalic plane (e). a Normal echogenicity of BR (thin arrow), grade 2; thick arrow indicates hyperechogenicity of LN. b Pathologic echogenicity of BR, the echogenic line of the raphe appears abnormally slight and thin, grade 1. c Pathologic echogenicity of BR, the raphe is not visible, grade 0. d Normal echogenic area of SN. e Hyperechogenicity of CN (thin arrow), width of the frontal horn of the lateral ventricle (2) and of the third ventricle (1)

Statistical analysis

The data is shown as mean ± standard deviation (SD) if it is normally distributed, or else as median (intequartile range, IQR). For comparison of categorical variables, the chi-square test was performed. For comparison of non-normally distributed data, the Mann-Whitney U test was used. And for comparison of means, the t-test for independent samples was used. A p-value of less than 0.05 was considered to have statistically significant difference.

Results

Depression

Significant difference was observed between migraineurs and controls in HAM-D score (mean 9.1, SD 7.0, range 0–24 in migraineurs; mean 4.9, SD 3.4, range 0–11 in controls; p = 0.001) and HADS-D score (mean 6.5, SD 4.5, range 0–18 in migraineurs; mean 3.2, SD 2.2, range 0–7 in controls; p = 0.000) (Table 1.). Based on DSM-IV criteria for depression and IHS criteria for MwoA [22], twelve patients were diagnosed as MwoA with depression and thirty as MwoA without depression.

TCS findings

The width of frontal horn of the lateral ventricle was found normal (≤17 mm) in all migraineurs and controls, mean width was 4.62 ± 0.98 mm in migraineurs and 4.63 ± 1.30 mm in controls (p = 0.955). The width of the third ventricle (> 7 mm) was found abnormal in one migraine patients (4.8%) and normal in the rest migraineurs and controls. Mean width of third ventricle is 4.13 ± 1.26 mm and 3.77 ± 0.81 mm in migraineurs and controls respectively (p = 0.129). Hyperechogenic SN was present in 4 migraineurs (9.5%) and 4 controls (10.0%). Mean area of SN is 0.16 ± 0.03 cm2 in migraineurs and 0.15 ± 0.04 cm2 in controls (p = 0.308). CN hyperechogenicity was found in 14 migraineurs (33.3%) and 6 controls (15.0%). And hyperechogenicity of LN was found in 8 migraineurs (19.0%) and 2 controls (5.0%). Hypoechogenicity of BR was present in 10 patients (23.8%) and 8 controls (20.0%), and BR echogenicity was undetectable in 1 out of the 10 patients with BR hypoechogenicity but in none of the healthy controls. There were no significant difference between migraineurs and controls in the width of frontal horn of the lateral ventricle (p = 0.955), width of third ventricle (p = 0.129) as well as the echogenicity of SN (p = 0.942), CN (p = 0.053), LN (p = 0.052) and BR (p = 0.677) (Table 2).

Table 2 Comparison of TCS findings between migraineurs and controls

Correlation between depression and BR hypoechogenecity

Our study showed that patients with hypoechogenic BR had higher HAM-D and HADS-D scores than those with normal BR. Mean HAM-D score was 18.6 ± 4.6 (range 11–24)in patients with hypoechogenic BR, and 6.1 ± 4.6 (range 0–14)in patients with normal BR (p = 0.000). Mean HADS-D score was 12.6 ± 3.8 (range 7–18)in patients with hypoechogenic BR, and 4.6 ± 2.7 (range 0–11)in patients with normal BR (p = 0.000). Additionally, one patient with undetectable BR echogenicity had obviously depressive symptoms with HAM-D score at 22 and HADS-D score at 18. Nevertheless, we found no significant differences between two groups in gender, age, disease duration and migraine headache attack frequency (Table 3). Twelve migraine patients fulfilled the diagnostic criteria of depression based on DSM-IV. Ten of the twelve (83.33%) depressed migraineurs exhibited reduced echogenicity of BR, whereas none of the thirty (0.00%) migraineurs without depression showed hypoechogenicity of BR (p = 0.000).

Table 3 Comparison of clinical characteristics between migraineurs with and without hypoechogenicity of BR

Discussion

To our knowledge, this is the first study to correlate alterations of BR echogenicity with depression in migraine patients. The main TCS finding is that migraineurs exhibiting a pathologic echogenicity of BR tend to have more depressive symptoms than those patients with normal raphe echogenicity. In addition, it could be shown that the overwhelming majority of migraineurs with depression exhibited hypoechogenic raphe, while none of the migraineurs without depression exhibited hypoechogenic raphe.

Some MRI studies have shown structural and functional alterations of BG in migraine patients [18, 27, 28], and this alterations may be indicators of migraine chronification [17].The globus pallidus is found to be associated with disease duration and the putamen associated with headache frequency in migraineurs, which further validated the probable role of the BG in the pathogenesis of migraine [18]. However, in our brain parenchyma sonography study, we found no significant changes in width of frontal horn of lateral ventricle, width of third ventricle, area of SN, and echogenecity of LN and CN. Here, it seems that more migraineurs were detected with increased echogenecity of CN and LN compared with controls (33.3% versus 15.0% for CN, 19.0% versus 5.0% for LN) though they had no statistical significance. One sonography study finds that CN and LN echogenicity and SN area are significantly altered in migraineurs [19]. LN and CN alterations in TCS may further support a potential role of them in pathogenesis of migraine, which needs to be further elucidated.

Multiple genetic and biochemical studies have demonstrated that serotonergic system is involved in migraine pathophysiology [29]. And many studies have indicated that the BR manipulation can regulate trigeminocervical complex (TCC) response to nociceptive inputs [30]. Further, selective degeneration of BR serotonergic neurons increases the propagating velocity of cortical spreading depression (CSD), a proposed basis of migraine aura [31]. These previous data implicate that BR might be involved in the pathogenesis of migraine. Hamerla et al. found that reduced BR echogenicity was more often in migraine patients than in healthy controls, and proposed that this finding may be a reflection of an alteration of the serotonergic raphe nuclei [15]. In another brain sonography study, the occurrence rate of BR hypoechogenicity did not differ between migraineurs and healthy subjects, but associated with higher headache attack frequency [14]. Whereas, neither the increased occurrence rate of BR hypoechogenicity in migraineurs compared with healthy control nor the association of BR hypoechogenicity with migraine headache attack frequency was found in current study. This inconsistency might be due to a narrow range of headache attack frequency in our study subjects. Thus, it can not be excluded that BR function is involved in migraine pain manipulation.

Amounts of studies have shown that raphe hypoechogenicity existed in MDD patients and in depressed patients with different neurodegenerative disease such as PD, Wilson’s disease, Dystonia and Huntington disease [32]. In our migraine patients, ten of the twelve depressed patients had hypoechogenic raphe, while none of the thirty non-depressed patients had hypoechogenic raphe. On the other hand, migraine patients with hypoechogenic raphe had higher depression score compared with migraine patients without hypoechogenic raphe, and one patient with undetectable BR echogenicity had obviously depressive symptoms with high score on HAM-D and HADS-D. This indicates a significant association of BR sonographic signal alterations with clinically evident depression in migraine patients. Therefore, TCS examination of brainstem might enable the identification of a subgroup of migraine patients who are at higher risk to suffer from or to develop depression.

Limitations

We acknowledge that the migraine headache frequency was relatively low and its range was narrow in our studying subjects, which may affect the analysis of the association of migraine itself with the echogenecity of BR as well as with that of CN and LN. In fact, very subtle structural alterations with corresponding anatomical locations such as SN, CN, LN and BR can exist, which may be overlooked when examining at the sonographic level. The aim of this study was not to investigate the possible role of this deep brain parenchyma in the pathogenesis of migraine but to determine whether the alteration of BR echogenecity could be a biomarker of depression in migraine patients. It should also be acknowledged that no double control was utilized and only one sonographer conducted the ultrasound examination in this study.

Conclusions

In TCS level, there was no significant difference between migraine patients and normal controls in deep brain parenchyma including brain ventricles and brainstem nuclei, but it seems that more migraineurs were detected with increased echogenecity of CN and LN compared with controls. Migraine patients with BR hypoechogenicity had significantly higher HAM-D and HADS-D scores than those with normal BR echogenicity, and overwhelming majority of migraineurs with depression exhibited hypoechogenic raphe but none of the migraineurs without depression exhibited hypoechogenic raphe. This indicates that TCS signal alteration of BR can be a biomarker for depression in migraine but not be associated with migraine headache itself. LN and CN alterations in TCS may reflect a potential role of them in the pathogenesis of migraine, which needs to be further elucidated.

Abbreviations

BG:

Basal ganglia

BR:

Brainstem raphe

CN:

Caudate nuclei

CSD:

Cortical spreading depression

DSM-IV:

Diagnostic and statistical manual of mental disorders IV

HADS-D:

Hospital anxiety and depression scale depression subscale

HAM-D:

Hamilton rating scale for depression

IHS:

International headache society

LN:

Lentiform nuclei

MA:

Migraine with aura

MD:

Major depression

MDD:

Major depressive disorder

MRI:

Magnetic resonance imaging

MwoA:

Migraine without aura

REM:

Rapid eye movement

SN:

Substantia nigra

TCC:

Trigeminocervical complex

TCS:

Transcranial sonography

References

  1. Mijajlovic MD, Tsivgoulis G, Sternic N (2014) Transcranial brain parenchymal sonography in neurodegenerative and psychiatric diseases. J Ultrasound Med 33(12):2061–2068

    Article  Google Scholar 

  2. Li DH, He YC, Liu J, Chen SD (2016) Diagnostic accuracy of Transcranial Sonography of the Substantia Nigra in Parkinson's disease: a systematic review and meta-analysis. Sci Rep 6:20863

    Article  CAS  Google Scholar 

  3. Richter D, Woitalla D, Muhlack S, Gold R, Tonges L, Krogias C (2018) Brainstem raphe alterations in TCS: a biomarker for depression and apathy in Parkinson's disease patients. Front Neurol 9:645

    Article  Google Scholar 

  4. Krogias C, Strassburger K, Eyding J, Gold R, Norra C, Juckel G, Saft C, Ninphius D (2011) Depression in patients with Huntington disease correlates with alterations of the brain stem raphe depicted by transcranial sonography. J Psychiatry Neurosci 36(3):187–194

    Article  Google Scholar 

  5. Vilas D, Iranzo A, Pont-Sunyer C, Serradell M, Gaig C, Santamaria J, Tolosa E (2015) Brainstem raphe and substantia nigra echogenicity in idiopathic REM sleep behavior disorder with comorbid depression. J Neurol 262(7):1665–1672

    Article  CAS  Google Scholar 

  6. Rakocevic-Stojanovic V, Peric S, Savic-Pavicevic D, Pesovic J, Mesaros S, Lavrnic D, Jovanovic Z, Pavlovic A (2016) Brain sonography insight into the midbrain in myotonic dystrophy type 2. Muscle Nerve 53(5):700–704

    Article  CAS  Google Scholar 

  7. Pavlovic AM, Pekmezovic T, Jovanovic Z, Medjedovic TS, Veselinovic N, Norton MC, Sternic N (2015) Transcranial parenchymal Sonographic findings in patients with cerebral small vessel disease: a preliminary study. J Ultrasound Med 34(10):1853–1859

    Article  Google Scholar 

  8. Toomsoo T, Randver R, Liepelt-Scarfone I, Kadastik-Eerme L, Asser T, Rubanovits I, Berg D, Taba P (2017) Prevalence of depressive symptoms and their association with brainstem raphe echogenicity in patients with Parkinson's disease and non-PD controls. Psychiatry Res 268:45–49

    Article  Google Scholar 

  9. Lipton RB, Hamelsky SW, Kolodner KB, Steiner TJ, Stewart WF (2000) Migraine, quality of life, and depression: a population-based case-control study. Neurology 55(5):629–635

    Article  CAS  Google Scholar 

  10. Zwart JA, Dyb G, Hagen K, Odegard KJ, Dahl AA, Bovim G, Stovner LJ (2003) Depression and anxiety disorders associated with headache frequency. The Nord-Trondelag health study. Eur J Neurol 10(2):147–152

    Article  Google Scholar 

  11. Ligthart L, Hottenga JJ, Lewis CM, Farmer AE, Craig IW, Breen G, Willemsen G, Vink JM, Middeldorp CM, Byrne EM et al (2014) Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders. Hum Genet 133(2):173–186

    Article  Google Scholar 

  12. Louter MA, Pijpers JA, Wardenaar KJ, van Zwet EW, van Hemert AM, Zitman FG, Ferrari MD, Penninx BW, Terwindt GM (2015) Symptom dimensions of affective disorders in migraine patients. J Psychosom Res 79(5):458–463

    Article  CAS  Google Scholar 

  13. Ashina S, Serrano D, Lipton RB, Maizels M, Manack AN, Turkel CC, Reed ML, Buse DC (2012) Depression and risk of transformation of episodic to chronic migraine. J Headache Pain 13(8):615–624

    Article  Google Scholar 

  14. Ayzenberg I, Nastos I, Strassburger-Krogias K, Obermann M, Gold R, Krogias C (2016) Hypoechogenicity of brainstem raphe nuclei is associated with increased attack frequency in episodic migraine. Cephalalgia 36(8):800–806

    Article  Google Scholar 

  15. Hamerla G, Kropp P, Meyer B, Rocco A, Jurgens TP, Walter U (2017) Midbrain raphe hypoechogenicity in migraineurs: an indicator for the use of analgesics but not triptans. Cephalalgia 37(11):1057–1066

    Article  Google Scholar 

  16. Husoy AK, Pintzka C, Eikenes L, Haberg AK, Hagen K, Linde M, Stovner LJ (2018) Volume and shape of subcortical grey matter structures related to headache: a cross-sectional population-based imaging study in the Nord-Trondelag health study. Cephalalgia 333102418780632

  17. Maleki N, Becerra L, Nutile L, Pendse G, Brawn J, Bigal M, Burstein R, Borsook D (2011) Migraine attacks the basal ganglia. Mol Pain 7:71

    Article  Google Scholar 

  18. Yuan K, Zhao L, Cheng P, Yu D, Zhao L, Dong T, Xing L, Bi Y, Yang X, von Deneen KM et al (2013) Altered structure and resting-state functional connectivity of the basal ganglia in migraine patients without aura. J Pain 14(8):836–844

    Article  Google Scholar 

  19. Blazina K, Mahovic-Lakusic D, Relja M (2017) Brainstem nuclei changes in migraine detected by transcranial sonography. Neurol Sci 38(8):1509–1512

    Article  Google Scholar 

  20. Ancelin ML, Isabelle C, Sylvaine A, Jerome M, Chantal M, Karen R, Joanne R, Isabelle C (2019) Lifetime major depression and grey-matter volume. J Psychiatry Neurosci (6):43

  21. Zhao K, Liu H, Yan R, Hua L, Chen Y, Shi J, Lu Q, Yao Z (2017) Cortical thickness and subcortical structure volume abnormalities in patients with major depression with and without anxious symptoms. Brain Behav 7(8):e00754

    Article  Google Scholar 

  22. Headache Classification Committee of the International Headache Society (IHS) (2013) The international classification of headache disorders, 3rd edition (beta version). Cephalalgia 33(9):629–808

    Article  Google Scholar 

  23. Walter U (2013) How to measure substantia nigra hyperechogenicity in Parkinson disease: detailed guide with video. J Ultrasound Med 32(10):1837–1843

    Article  Google Scholar 

  24. Walter U, Skoloudik D (2014) Transcranial sonography (TCS) of brain parenchyma in movement disorders: quality standards, diagnostic applications and novel technologies. Ultraschall Med 35(4):322–331

    Article  CAS  Google Scholar 

  25. Walter U, Behnke S, Eyding J, Niehaus L, Postert T, Seidel G, Berg D (2007) Transcranial brain parenchyma sonography in movement disorders: state of the art. Ultrasound Med Biol 33(1):15–25

    Article  Google Scholar 

  26. Budisic M, Trkanjec Z, Bosnjak J, Lovrencic-Huzjan A, Vukovic V, Demarin V (2009) Distinguishing Parkinson's disease and essential tremor with transcranial sonography. Acta Neurol Scand 119(1):17–21

    Article  CAS  Google Scholar 

  27. Gao Q, Xu F, Jiang C, Chen Z, Chen H, Liao H, Zhao L (2016) Decreased functional connectivity density in pain-related brain regions of female migraine patients without aura. Brain Res 1632:73–81

    Article  CAS  Google Scholar 

  28. Maleki N, Linnman C, Brawn J, Burstein R, Becerra L, Borsook D (2012) Her versus his migraine: multiple sex differences in brain function and structure. Brain 135(Pt 8):2546–2559

    Article  Google Scholar 

  29. Gasparini CF, Smith RA, Griffiths LR (2017) Genetic and biochemical changes of the serotonergic system in migraine pathobiology. J Headache Pain 18(1):20

    Article  Google Scholar 

  30. Goadsby PJ, Holland PR, Martins-Oliveira M, Hoffmann J, Schankin C, Akerman S (2017) Pathophysiology of migraine: a disorder of sensory processing. Physiol Rev 97(2):553–622

    Article  Google Scholar 

  31. Cui Y, Li QH, Yamada H, Watanabe Y, Kataoka Y (2013) Chronic degeneration of dorsal raphe serotonergic neurons modulates cortical spreading depression: a possible pathophysiology of migraine. J Neurosci Res 91(6):737–744

    Article  CAS  Google Scholar 

  32. Krogias C, Walter U (2016) Transcranial Sonography findings in depression in association with psychiatric and neurologic diseases: a review. J Neuroimaging 26(3):257–263

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by Natural Science grants to Y Wang (Grant No. 81671290) from the National Natural Science Foundation of China.

Availability of data and materials

All data and materials are available. All authors take full responsibility for the data and materials.

Author information

Authors and Affiliations

Authors

Contributions

Conception and design YW, WT. Acquisition of data WT, XS, XC, JS. Data analysis and interpretation WT, XC, JS. Manuscript draft WT. Revision for intellectual content YW. Final approval of the completed manuscript WT, XC, JS, XS, YW.

Corresponding author

Correspondence to Yu Wang.

Ethics declarations

Ethics approval and consent to participate

Informed consent is available from all subjects participating in this study. This study was approved by the Ethics Committee of the First Affiliated Hospital of Anhui Medical University.

Consent for publication

Publication is accepted by all authors.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tao, WW., Cai, XT., Shen, J. et al. Hypoechogenicity of brainstem raphe correlates with depression in migraine patients. J Headache Pain 20, 53 (2019). https://doi.org/10.1186/s10194-019-1011-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s10194-019-1011-2

Keywords