Next Article in Journal
Demographic and Clinical Characteristics in Different Motor Subtypes of Parkinson’s Disease: How Well Do the Findings Fit Within the Framework of Existing Hypotheses?
Previous Article in Journal
Continuous Measurement in Neurocritical Care of Cerebral Blood Flow (CBF) Calculated from ICP and Central Venous Pressure
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Brain Structural Abnormalities in Patients with Post-COVID-19 Headache

1
Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7622 Pécs, Hungary
2
Faculty of Health Sciences and Social Studies, Department of Theoretical Health Sciences and Health Management, University of Szeged, 6726 Szeged, Hungary
3
Department of Neurology, Medical School, University of Pécs, 7622 Pécs, Hungary
4
HUN-REN-PTE Clinical Neuroscience MR Research Group, Hungarian Research Network, 7622 Pécs, Hungary
5
Somogy County Móricz Kaposi Teaching Hospital, 7400 Kaposvár, Hungary
6
Digital Development Center, Széchenyi István University, 9026 Győr, Hungary
7
Department of Otorhinolaryngology-Head and Neck Surgery, University of Pécs Medical School, 7622 Pécs, Hungary
8
János Bolyai Research Scholarship of the Hungarian Academy of Science, 1051 Budapest, Hungary
9
Faculty of Health Sciences, University of Pécs, 7622 Pécs, Hungary
*
Author to whom correspondence should be addressed.
Neurol. Int. 2025, 17(4), 50; https://doi.org/10.3390/neurolint17040050
Submission received: 18 February 2025 / Revised: 19 March 2025 / Accepted: 24 March 2025 / Published: 26 March 2025

Abstract

:
Background/Objectives: Headache is one of the most common neurological symptoms associated with COVID-19, affecting approximately 25% of patients. While most headaches resolve within weeks, some persist for months, suggesting underlying structural brain changes. This study aimed to identify brain MRI abnormalities associated with chronic headaches in patients with a history of COVID-19 infection. Methods: This retrospective study included 30 patients with post-COVID-19 headaches and 30 control patients with no history of COVID-19. Demographic characteristics were analyzed using t-tests and chi-square tests. MRI findings were categorized into six types: cortical atrophy, white matter lesions, vascular lesions, lacunar lesions, vascular encephalopathy, and sinusitis. Differences in MRI findings between the two groups were evaluated using chi-square tests. Secondary outcomes included the analysis of symptoms accompanying headaches, diagnoses following MRI, and treatments applied. Results: White matter lesions were significantly more frequent in the post-COVID-19 group (50%) compared to controls (20%) (p = 0.015). Conversely, sinusitis was more prevalent in the control group (36.7%) than in the post-COVID-19 group (6.7%) (p = 0.005). Other MRI abnormalities showed no significant differences. Cognitive dysfunction (30%) and dizziness (33.3%) were the most common associated symptoms. The most frequent diagnoses after MRI in the post-COVID-19 group were headaches/migraines (23.3%), post-COVID-19 headache (20%), and vestibular syndrome (13.3%). Conclusions: Persistent post-COVID-19 headaches may be linked to structural white matter changes observed in MRI. Further research, ideally including pre-infection imaging data, is needed to determine the causal relationship between these lesions and chronic headache symptoms. Trial Registration: This study was registered in ClinicalTrials with the trial registration number NCT06825741 on 13 February 2025.

1. Introduction

The clinical manifestations of the Coronavirus Disease 2019 (COVID-19) pandemic are heterogeneous and may include respiratory symptoms (dyspnea, chest pain, and cough), gastrointestinal symptoms (diarrhea and vomiting), musculoskeletal symptoms (myalgia and arthralgia), and neurological symptoms (headache, vertigo, anosmia, and ageusia) [1,2]. Approximately 25% of patients report headache as a neurological symptom, making it the fifth most common symptom [3]. The characteristics of post-COVID-19 headaches most closely resemble tension-type headaches and migraines [4]. It occurs in the upper/frontal part of the head; it is usually persistent and does not respond to treatment [5]. The average duration of headache is around two weeks; however, in many cases, it can become chronic and is still present after 2 months [6]. Given the high prevalence of migraine in the general population, it is anticipated that headaches triggered by COVID-19 will be more common in individuals with a history of headache disorders. It is often difficult to recognize whether the headache experienced by patients is really an exacerbation of their known headache disorder, a new secondary headache, or a new headache syndrome due to an infection. Nonetheless, as typical headaches in patients with primary headache disorders can be exacerbated by systemic illnesses, such as viral infections, it is imperative to thoroughly evaluate patients with previously diagnosed headache conditions [7].
Most brain-imaging studies related to COVID-19 have primarily focused on acute cases, individual radiological reports, or case series. Imaging techniques such as computer tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI) have widely revealed severe brain abnormalities, including hyperintensity in white matter, cerebral hypoperfusion, and signs of ischemic events [8,9]. Among the larger studies addressing cerebrovascular damage, most have not identified clear pathological markers in the majority of patients, nor have they found a consistent spatial pattern for the distribution of white matter hyperintensities or microbleeds [10,11]. MRI is one of the most suitable methods for assessing structural changes in the brain behind a headache because soft tissues can be examined noninvasively and without radiation exposure. This includes clear visualization of gray and white matter, brain ventricles, blood vessels, and nerves [12]. The standard protocol typically includes the following sequences: T2-weighted, T2-weighted Fluid-Attenuated Inversion Recovery (FLAIR), Diffusion Weighted Imaging (DWI) axial, T1-weighted coronal, and T2-weighted sagittal planes. If necessary, post-contrast 3D sagittal T1-weighted imaging is performed. In cases of headache, time-of-flight (TOF) imaging is often added to the protocol [13].
The aim of our research is to reveal the structural abnormalities behind the headache in patients with the disease COVID-19, which can be diagnosed during cranial MRI.

2. Materials and Methods

2.1. Participants and Design

In this retrospective study, patients were enrolled from the outpatient clinic of Szent Margit Hospital between September 2020 and December 2022.
In the control group, the patients did not have a history of COVID-19 infection in their medical records. Exclusion criteria included the presence of any neurological disease or complaint in the patient’s medical history. A total of 30 control participants were enrolled. The mean age of the participants was 61.07 ± 17.48 years (age range 27–91 years). In the control group, we only examined the MRI findings, without considering the medical history or the post-MRI results.
In the post-COVID-19 headache group, the inclusion criteria were adult age (>18 years) and a previous history of COVID-19 infection, along with a requested brain MRI examination by the attending physician due to headaches. Exclusion criteria included the presence of any neurological disease or complaint in the patient’s medical history. A total of 30 participants were enrolled. The mean age of the participants was 55.03 ± 15.51 years (age range 27–79 years). We reviewed the patients’ medical histories and the time elapsed between COVID-19 infection and MRI. We also examined the presence of other relevant symptoms accompanying the headaches. The presence of the following MRI abnormalities was also recorded: cortical atrophy, white matter lesions, vascular lesions, lacunar lesions, vascular encephalopathy, and sinusitis. The final diagnoses and administered treatments following the MRI were also recorded.

2.2. MRI Protocol

The MRI parameters are summarized in Table 1. The brain MRI protocol consisted of the following measurements:
  • Sagittal T1-weighted;
  • Coronal FLAIR;
  • Axial T2-weighted;
  • Axial DWI;
  • Axial Susceptibility Weighted Imaging (SWI);
  • Axial TOF;
  • Optional: contrast enhanced 3D sagittal T1-weighted.

2.3. Outcomes

The primary outcomes are the structural changes observed on MR images. Throughout the study, all findings were systematically evaluated by a neuroradiologist. To diagnose various pathologies, neuroradiologists in Hungary apply local professional guidelines and the recommendations of the National Health Professional College. The most common pathologies were diagnosed based on the following criteria (Figure 1).
  • Cortical atrophy: the Scheltens scale aids in the standardized grading of atrophy severity. It is characterized by a reduction in cortical thickness, widening of the sulci, and dilation of the ventricular system, particularly the lateral ventricles. These changes are typically observed on T1-weighted and FLAIR images, where thinning of the cortical structures is evident [14].
  • White matter lesions: the Fazekas scale and the Standards for Reporting Vascular Changes on Neuroimaging (STRIVE) criteria are the most commonly used standards. White matter lesions are identified on FLAIR and T2-weighted images as bright (hyperintense) areas located in the periventricular or deep white matter. These may appear as discrete spots or confluent regions, typically indicating small vessel disease [15].
  • Vascular lesions: in Hungary, the European Stroke Organization Guidelines serve as the primary reference. MR angiography is routinely used to assist in the diagnosis of vascular abnormalities. On DWI, acute ischemic lesions appear as hyperintense signals. T1/T2-weighted and magnetic resonance angiography (MRA) images can identify stenosis, occlusions, or vascular wall abnormalities. In cases of hemorrhage, hemosiderin deposits can be detected using SWI techniques [16].
  • Lacunar lesions: the STRIVE criteria assist in identifying these lesions. They are characterized by small (<15 mm) round or oval hyperintense areas on T2/FLAIR images. Common locations include the thalamus, basal ganglia, and internal capsule. On T1-weighted images, they appear as hypointense signals [15].
  • Vascular encephalopathy: the Hungarian Stroke Guidelines and the recommendations of the MSKT (Hungarian Stroke Consensus Council), along with the application of the Fazekas scale, are essential for evaluation. Diffuse white matter hyperintensities are observed on FLAIR images. Subcortical infarcts, dilated perivascular spaces, or signs of microvascular disease may also be present. Cortical and subcortical atrophy is frequently associated with ventricular enlargement [17].
  • Sinusitis: the American College of Radiology (ACR) Appropriateness Criteria and the Lund-Mackay scoring system are utilized. Sinus opacification, mucosal thickening, or fluid levels are identified on T2-weighted images. In acute inflammation, high-intensity signals and fluid levels are observed on T2. In chronic sinusitis, findings include thickened bony walls, fibrosis, or the presence of mucoceles [18].
Secondary outcomes are other symptoms appearing in addition to headache, the final diagnosis after MR imaging, the treatments applied after the MR examination, and the time elapsed between COVID-19 infection and the MRI.

2.4. Statistical Analyses

Demographic characteristics of the groups were compared to prove that age and gender distribution were similar. Age was analyzed using an independent samples t-test, while gender distribution was assessed with a chi-square test. Normality was assessed using the Shapiro–Wilk test, and the data followed a normal distribution.
Descriptive statistics were used to summarize the baseline characteristics. Data are reported as mean ± SD.
To evaluate differences in MRI findings between the control and post-COVID-19 headache groups, chi-square tests were conducted for cortical atrophy, white matter lesions, vascular lesions, lacunar infarcts, vascular encephalopathy, and sinusitis/sinus abnormalities.
Since MRI-related diagnoses and therapies were not assessed in the control group, we focused on secondary outcomes, analyzing the frequencies of secondary findings to provide insights into their distribution and potential relevance.
The significance level was set at p < 0.05 for all analyses.
Statistical calculations were conducted using the IBM Corp. released 2019, IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY, USA: IBM Corp.

2.5. Ethical Considerations

This study was registered at ClinicalTrials.gov under the identifier NCT06825741 on 13 February 2025. The study was approved by the Regional Ethical Committee of Szent Margit Hospital (IG/296-1/2025/1). The study was conducted according to the World Medical Association Declaration of Helsinki. As it was a retrospective study, informed consent was waived in accordance with institutional guidelines. Data collection complied with General Data Protection Regulation (GDPR) and patient confidentiality regulations.

3. Results

3.1. Baseline Characteristics

Table 2 shows the descriptive data in the post-COVID-19 headache group. This study involved 10 male and 20 female participants, with an average age of 55.03 ± 15.51 years. The participants’ ages ranged from 27 to 79 years. Time between COVID-19 infection and MRI, other post-COVID-19 symptoms and, MRI results are discussed in detail in the outcome results.
Table 3 shows the descriptive data in the control group. This study involved 15 male and 15 female participants, with an average age of 61.07 years (±17.48). The participants’ ages ranged from 27 to 91 years. MRI results are discussed in detail in the outcome results.
No significant differences were found between the control and post-COVID-19 headache groups for age (t (58) = 1.414, p = 0.163) or gender distribution (χ2 (1, N = 60) = 1.714, p = 0.190).

3.2. Primary Outcome

In total, 85% of the enrolled subjects had positive MRI findings (structural changes). The MR results are summarized in Table 4.
In the post-COVID-19 headache group, white matter lesions (50%) were the most commonly observed structural change, followed by cortical atrophy (23.3%) and vascular encephalopathy (23.3%).
Significant differences were detected in white matter lesions (p = 0.015) and sinusitis/sinus abnormalities (p = 0.005). Other MRI findings, including cortical atrophy, vascular lesion, lacunar lesion, and vascular encephalopathy, did not show statistically significant differences (p > 0.05).

3.3. Secondary Outcome

In addition to headaches, the two most prevalent symptoms were dizziness (33.3%) and cognitive disorders (30%). Other reported symptoms included sleep disorders, balance disturbances, loss of consciousness, fatigue, tinnitus, nausea, and palpitations, but these symptoms occurred in only a few patients.
The diagnoses after MRI are summarized in Table 5.
In six patients, no diagnosis was provided. Among the remaining 24 cases, the most frequently diagnosed conditions were headache, migraine (23.3%), post-COVID-19 headache (20%), and vestibular syndrome (13.3%). Unfortunately, we do not have detailed information on the specific criteria used by the treating physicians to determine the final diagnoses. Given that post-COVID headache is a relatively new clinical entity, standardized diagnostic criteria may not yet be fully established or consistently applied in clinical practice. This could explain why some patients who may have had post-COVID headache were instead diagnosed with other headache disorders, such as migraine.
The association between MRI findings and diagnoses in the post-COVID-19 headache group are summarized in Table 6.
The data show that white matter lesions and cortical atrophy occur in most diagnoses. For example, white matter lesions were observed in 50% of patients in the post-COVID-19 group, but they were also present in 57.1% of the migraine and other headache group.
Interestingly, the patient diagnosed with visual impairment exhibited only cortical atrophy, while the patient with dementia showed all observed structural changes.
The applied treatments are summarized in Table 7.
Cognitive-function-enhancing drugs were the most frequently prescribed (23.3%), followed by antidepressants (20%) and anti-inflammatory medications (10%). Additionally, a notable proportion of patients (10%) received lifestyle modification advice.

4. Discussion

This study investigates the underlying structural brain changes associated with chronic headaches following COVID-19.
One of our most noteworthy findings is that white matter lesions were identified in 50% of the post-COVID-19 group, compared to 20% in the control group. Given that patients in the post-COVID-19 group had no neurological symptoms prior to the infection, it is likely that these lesions were a consequence of COVID-19. Previous studies have also shown that COVID-19 can cause white matter changes during the acute phase; however, few studies have explored the long-term resolution of these changes. Since brain lesions can increase the risk of cognitive decline, white matter lesions may contribute not only to headaches but also to cognitive disorders [5,7,8,19,20]. Future research should consider examining the precise locations and numbers of these white matter lesions.
Although our results did not show a significant difference, cortical atrophy was the second most common finding in the post-COVID-19 group in our study. This aligns with other studies that have reported cortical atrophy as a potential factor contributing to post-COVID-19 headaches and associated cognitive disorders as concomitant symptoms [7].
While headaches are present as a symptom during COVID-19 infection, they become chronic in a significant percentage of cases and can persist after the infection subsides. Consistent with our findings, other studies have noted that patients seek medical attention for headaches approximately 3–4 months after COVID-19 infection [5,11].
Likewise, dizziness, cognitive dysfunction, and fatigue have been identified as accompanying symptoms in other studies [5,9,10].
The psychological burden associated with the COVID-19 pandemic should not be overlooked, as it may also contribute to headaches. Given that some studies have demonstrated an association between post-COVID-19 headaches and psychological issues, it is essential for healthcare providers to offer not only pharmacological treatments for headache but also lifestyle advice and antidepressants to facilitate a quicker recovery. However, some research has indicated that the use of anti-inflammatory drugs does not improve symptoms [3,9].
Unfortunately, during data collection, we were unable to obtain information regarding the phenotype of the headaches, as this was not included in the outpatient referral forms. It is crucial for healthcare providers to place greater emphasis on the characteristics of headaches (e.g., migraine or tension-type), as this can serve as a valuable starting point for treatment selection [11].
Given that the 30 examinations incurred a cost of HUF 2.462.439 (Hungarian Forint) on the healthcare system, it is vital to demonstrate the actual role of MRI in the diagnosis and management of post-COVID-19 headaches. If white matter lesions caused by COVID-19 are indeed responsible for headaches, it is important to clarify whether the location of these lesions affects treatment outcomes. If the information obtained from MRI (such as localization and number of lesions) does not influence treatment decisions, then eliminating MRI could reduce healthcare expenses while also shortening wait times.

5. Limitation

One of the main limitations of this study is the relatively small sample size, which may impact the generalizability and statistical power of our findings. However, our study provides a solid foundation for future research, allowing for further investigations with larger cohorts to validate and expand upon our results. Additionally, we did not investigate whether the headaches were present prior to the COVID-19 infection through direct historical documentation. However, none of the included patients had undergone medical evaluation for headache before their COVID-19 infection, nor was there any record of prior headache-related complaints in their medical history. Therefore, we assumed that the headaches observed in our study emerged after the infection. We also did not examine the localization of the lesions identified during the MRI.

6. Conclusions

A significant proportion of patients who have recovered from COVID-19 continue to experience headaches 3–4 months post-infection. The presence of white matter lesions in these patients suggests a potential link between post-COVID-19 headaches and structural brain changes. Given the importance of this issue, further research is warranted. The significance of the findings could be further enhanced by including patients who had prior brain MRI scans before their COVID-19 infection, which would allow for a more precise assessment of changes attributable to the infection.

Author Contributions

Conceptualization, K.S. and J.T.; methodology, K.S. and J.T.; software, K.S. and S.K.; validation, J.T.; formal analysis, K.S., S.K., G.O. and J.T.; investigation, K.S.; resources, K.S.; data curation, K.S. and S.K.; writing—original draft preparation, K.S.; writing—review and editing, S.K., G.O. and J.T.; visualization, S.K., G.O. and J.T.; supervision, S.K., G.O. and J.T.; project administration, K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the Regional Ethical Committee of Szent Margit Hospital (Approval number: IG/296-1/2025/1). Additionally, the study was registered at ClinicalTrials.gov under the identifier NCT06825741 accessed on 13 February 2025.

Informed Consent Statement

Patient consent was waived due to the retrospective nature of the study and the use of anonymized data from patients who had already provided consent for the MRI examination.

Data Availability Statement

Authors are committed to making the data available upon request.

Conflicts of Interest

The authors declare no conflicts of interest. The authors state that the results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation.

Abbreviations

The following abbreviations are used in this manuscript:
COVID-19Coronavirus Disease 2019
CTComputed Tomography
PETPositron Emission Tomography
MRIMagnetic Resonance Imaging
FLAIRFluid-Attenuated Inversion Recovery
DWIDiffusion Weighted Imaging
TOFTime-of-Flight
SWISusceptibility Weighted Imaging
TRRepetition Time
msmilliseconds
TEEcho Time
TIInversion Time
FOVField of View
mmmillimeters
FSFat Saturation
minminutes
NEXNumber of Excitations
s/mm2seconds per square millimeter
kHzkilohertz
FSEFast Spin Echo
SE EPISpin Echo Echo Planar Imaging
GREGradient Echo
SPGRSpoiled Gradient Echo
FSPGRFast Spoiled Gradient Echo
STRIVEStandards for Reporting Vascular Changes on Neuroimaging
MRAMagnetic Resonance Angiography
MSKTMagyar Stroke Konszenzus Tanács (Hungarian Stroke Consensus Panel)
ACRAmerican College of Radiology
GDPRGeneral Data Protection Regulation
HUFHungarian Forint

References

  1. Fernández-de-Las-Peñas, C.; Palacios-Ceña, D.; Gómez-Mayordomo, V.; Florencio, L.L.; Cuadrado, M.L.; Plaza-Manzano, G.; Navarro-Santana, M. Prevalence of post-COVID-19 symptoms in hospitalized and non-hospitalized COVID-19 survivors: A systematic review and meta-analysis. Eur. J. Intern. Med. 2021, 92, 55–70. [Google Scholar] [CrossRef] [PubMed]
  2. Fernández-de-Las-Peñas, C.; Palacios-Ceña, D.; Gómez-Mayordomo, V.; Cuadrado, M.L.; Florencio, L.L. Defining Post-COVID Symptoms (Post-Acute COVID, Long COVID, Persistent Post-COVID): An Integrative Classification. Int. J. Environ. Res. Public Health 2021, 18, 2621. [Google Scholar] [CrossRef] [PubMed]
  3. Chhabra, N.; Grill, M.F.; Singh, R.B.H. Post-COVID Headache: A Literature Review. Curr. Pain Headache Rep. 2022, 26, 835–842. [Google Scholar] [CrossRef] [PubMed]
  4. Tana, C.; Bentivegna, E.; Cho, S.J.; Harriott, A.M.; García-Azorín, D.; Labastida-Ramirez, A.; Ornello, R.; Raffaelli, B.; Beltrán, E.R.; Ruscheweyh, R.; et al. Long COVID headache. J. Headache Pain 2022, 23, 93. [Google Scholar] [CrossRef] [PubMed]
  5. Fernández-de-Las-Peñas, C.; Gómez-Mayordomo, V.; Cuadrado, M.L. The presence of headache at onset in SARS-CoV-2 infection is associated with long-term post-COVID headache and fatigue: A case-control study. Cephalalgia Int. J. Headache 2021, 41, 1332–1341. [Google Scholar] [CrossRef]
  6. Caronna, E.; Ballvé, A.; Llauradó, A.; Gallardo, V.J.; Ariton, D.M.; Lallana, S.; Lopez Maza, S.; Olive Gadea, M.; Quibus, L.; Restrepo, J.L.; et al. Headache: A striking prodromal and persistent symptom, predictive of COVID-19 clinical evolution. Cephalalgia Int. J. Headache 2020, 40, 1410–1421. [Google Scholar] [CrossRef] [PubMed]
  7. Douaud, G.; Lee, S.; Alfaro-Almagro, F.; Arthofer, C.; Wang, C.; McCarthy, P.; Lange, F.; Andersson, J.L.; Griffanti, L.; Duff, E.; et al. SARS-CoV-2 is associated with changes in brain structure in UK Biobank. Nature 2022, 604, 697–707. [Google Scholar] [CrossRef] [PubMed]
  8. Pelizzari, L.; Cazzoli, M.; Lipari, S.; Laganà, M.M.; Cabinio, M.; Isernia, S.; Pirastru, A.; Clerici, M.; Baglio, F. Mid-term MRI evaluation reveals microstructural white matter alterations in COVID-19 fully recovered subjects with anosmia presentation. Ther. Adv. Neurol. Disord. 2022, 15, 17562864221111995. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  9. Rueb, M.; Ruzicka, M.; Fonseca, G.J.I.; Valdinoci, E.; Benesch, C.; Pernpruner, A.; von Baum, M.; Remi, J.; Jebrini, T.; Schöberl, F.; et al. Headache severity in patients with post COVID-19 condition: A case-control study. Eur. Arch. Psychiatry Clin. Neurosci. 2024, 274, 1935–1943. [Google Scholar] [CrossRef] [PubMed]
  10. Garcia-Azorin, D.; Layos-Romero, A.; Porta-Etessam, J.; Membrilla, J.A.; Caronna, E.; Gonzalez-Martinez, A.; Mencia, Á.S.; Segura, T.; Gonzalez-García, N.; Díaz-de-Terán, J.; et al. Post-COVID-19 persistent headache: A multicentric 9-months follow-up study of 905 patients. Cephalalgia 2022, 42, 804–809. [Google Scholar] [CrossRef] [PubMed]
  11. Fernández-de-Las-Peñas, C.; Navarro-Santana, M.; Gómez-Mayordomo, V.; Cuadrado, M.L.; García-Azorín, D.; Arendt-Nielsen, L.; Plaza-Manzano, G. Headache as an acute and post-COVID-19 symptom in COVID-19 survivors: A meta-analysis of the current literature. Eur. J. Neurol. 2021, 28, 3820–3825. [Google Scholar] [CrossRef] [PubMed]
  12. Newman-Toker, D.E.; Santina, C.C.D.; Blitz, A.M. Vertigo and Hearing Loss. In Handbook of Clinical Neurology; Elsevier: Amsterdam, The Netherlands, 2016; Volume 136. [Google Scholar]
  13. Eller, M.; Goadsby, P.J. MRI in headache. Expert Rev. Neurother. 2013, 13, 263–273. [Google Scholar] [CrossRef] [PubMed]
  14. Scheltens, P. Grading of global cortical atrophy. J. Neurol. 1997, 244, 658–664. [Google Scholar]
  15. Wardlaw, J.M.; Smith, E.E.; Biessels, G.J.; Cordonnier, C.; Fazekas, F.; Frayne, R.A.; Lindley, R.I.; O’Brien, J.T.; Barkhof, F.; Benavente, O.R.; et al. STRIVE criteria for reporting vascular changes on neuroimaging. Lancet Neurol. 2013, 12, 822–828. [Google Scholar] [PubMed]
  16. European Stroke Organization (ESO) Guidelines. Stroke Prevention and Management Recommendations; European Stroke Organization (ESO): Basel, Switzerland, 2020. [Google Scholar]
  17. Hungarian Stroke Consensus Council (MSKT). National Stroke Guidelines; Hungarian Stroke Consensus Council (MSKT): Budapest, Hungary, 2021. [Google Scholar]
  18. Lund-Mackay, R. Scoring system for sinusitis assessment. Radiology 1993, 189, 393–398. [Google Scholar]
  19. Planchuelo-Gómez, Á.; García-Azorín, D.; Guerrero, Á.L.; Aja-Fernández, S.; de Luis-García, R. Structural brain changes in patients with persistent headache after COVID-19 resolution. J. Neurol. 2023, 270, 13–31. [Google Scholar] [CrossRef] [PubMed]
  20. Honningsvåg, L.M.; Håberg, A.K.; Hagen, K.; Kvistad, K.A.; Stovner, L.J.; Linde, M. White matter hyperintensities and headache: A population-based imaging study (HUNT MRI). Cephalalgia 2018, 38, 1–13. [Google Scholar]
Figure 1. From left to right in the first row are cortical atrophy, white matter lesion, and vascular lesions and, in the second row, are lacunar lesion, vascular encephalopathy, and sinusitis.
Figure 1. From left to right in the first row are cortical atrophy, white matter lesion, and vascular lesions and, in the second row, are lacunar lesion, vascular encephalopathy, and sinusitis.
Neurolint 17 00050 g001
Table 1. MRI sequences.
Table 1. MRI sequences.
Sequence TypeTR 1TE 2TI 3FOV 4Matrix 5FS 6Scan Time 7NEX 8b-Value 9Bandwith 10
Sagittal T1FSE 1157712.34-240512 × 512N3.51-31.25
Axial T2FSE758086.5-260512 × 512N3.51.5-62.5
Coronal T2FLAIR90001202580240256 × 256N3.51-70
Axial DWISE EPI 12755183.1-260256 × 256N2.5120/1000250
Axial SWIGRE 1373.747.07-260512 × 512N31-41.67
Axial TOFSPGR 14266.8-220512 × 512Y3.51-250
+c Sagittal 3D T1FSPGR 156.8842.06-240512 × 512N3.51-83.33
1 TR—Repetition time (ms); 2 TE—Echo Time (ms); 3 TI—Inversion Time (ms); 4 FOV—Field of View (mm); 5 Matrix (pixel); 6 FS—Fat Saturation (N—no, Y—yes); 7 Scan Time (min); 8 NEX—Number of Excitations; 9 b-value (s/mm2); 10 Bandwidth (kHz); 11 FSE—Fast Spin Echo; 12 SE EPI—Spin Echo Echo Planar Imaging; 13 GRE—Gradient Echo; 14 SPGR—Spoiled Gradient Echo; 15 FSPGR—Fast Spoiled Gradient Echo.
Table 2. Descriptive characteristics of the patients in the post-COVID-19 headache group.
Table 2. Descriptive characteristics of the patients in the post-COVID-19 headache group.
VariableCount or Mean±SD
Number of subjects (males)30 (10)
Age55.03 years15.51 years
Time between COVID infection and MRI6.1 months5.1 months
Other post-COVID-19 symptoms, n
      Vertigo10 (33%)
      Cognitive disorders9 (30%)
      Visual impairment3 (10%)
MR results, n
      White matte lesion15 (50%)
      Cortical atrophy7 (23%)
      Vascular encephalopathy7 (23%)
      Vascular lesion2 (7%)
      Lacunar lesion2 (7%)
      Sinusitis2 (7%)
Table 3. Descriptive characteristics of the control subjects.
Table 3. Descriptive characteristics of the control subjects.
VariableCount or Mean±SD
Number of subjects (males)30 (15)
Age61.07 years17.48 years
MR results, n
      Sinusitis11 (37%)
      Cortical atrophy8 (27%)
      White matte lesion6 (20%)
      Vascular encephalopathy5 (17%)
      Vascular lesion4 (13%)
      Lacunar lesion2 (7%)
Table 4. Incidence of observed structural changes.
Table 4. Incidence of observed structural changes.
ResultsPost-COVID-19 Headache Group (%)Control Group (%)
White matter lesion5020
Cortical atrophy23.326.7
Vascular encephalopathy23.316.7
Vascular lesion6.713.3
Lacunar lesion6.76.7
Sinusitis6.736.7
Table 5. Final diagnosis after MRI.
Table 5. Final diagnosis after MRI.
Final Diagnosis%
Headache, migraine23.3
Post-COVID-19 headache20
Vestibular syndrome13.3
Anxiety, other psychological disorders6.7
Sleep disorder, fatigue6.7
Visual impairment3.3
Dementia3.3
Not specified20
Other3.3
Table 6. Association between MRI findings and diagnoses in the post-COVID-19 headache group.
Table 6. Association between MRI findings and diagnoses in the post-COVID-19 headache group.
White Matter LesionCortical AtrophyVascular
Encephalopathy
Vascular LesionLacunar LesionSinusitis
Headache, migraine57.1%28.5%28.5%--14.3%
Post-COVID-19 headache50%33.3%33.3%-16.7%16.7%
Vestibular syndrome50%-25%-25%-
Anxiety, other psychological disorders50%-----
Sleep disorder, fatigue50%-50%---
Visual impairment-100%----
Dementia100%100%100%100%--
Other100%100%-100%--
Table 7. Treatments.
Table 7. Treatments.
Treatments%
Cognitive function stimulant drugs23.3
Anxiolytic, hypnotic, antidepressant drugs20
Lifestyle advance10
Anti-inflammatory drugs10
Antiepileptic drugs3.3
Migraine medication3.3
Vitamin, mineral3.3
Other drugs6.7
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Széphelyi, K.; Kóra, S.; Orsi, G.; Tollár, J. Brain Structural Abnormalities in Patients with Post-COVID-19 Headache. Neurol. Int. 2025, 17, 50. https://doi.org/10.3390/neurolint17040050

AMA Style

Széphelyi K, Kóra S, Orsi G, Tollár J. Brain Structural Abnormalities in Patients with Post-COVID-19 Headache. Neurology International. 2025; 17(4):50. https://doi.org/10.3390/neurolint17040050

Chicago/Turabian Style

Széphelyi, Klaudia, Szilvia Kóra, Gergely Orsi, and József Tollár. 2025. "Brain Structural Abnormalities in Patients with Post-COVID-19 Headache" Neurology International 17, no. 4: 50. https://doi.org/10.3390/neurolint17040050

APA Style

Széphelyi, K., Kóra, S., Orsi, G., & Tollár, J. (2025). Brain Structural Abnormalities in Patients with Post-COVID-19 Headache. Neurology International, 17(4), 50. https://doi.org/10.3390/neurolint17040050

Article Metrics

Back to TopTop