Application of Magnetic Resonance Imaging in Neurology

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 1778

Special Issue Editor


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Guest Editor
2nd Department of Radiology, Medical University of Gdansk, 80-214 Gdansk, Poland
Interests: neuroimaging; magnetic resonance; imaging; medical image analysis; diagnostic radiology

Special Issue Information

Dear Colleagues,

Magnetic Resonance Imaging (MRI) has revolutionized the field of neurology, providing unprecedented insights into the complex structures and functions of the human brain. This Special Issue aims to delve into the latest advancements, challenges, and future prospects of this remarkable imaging modality.

From higher-field MRI scanners to advanced image-processing techniques, these advancements have enabled researchers to capture more detailed anatomical and functional information about the brain. The use of specialized imaging sequences, such as diffusion tensor imaging (DTI) and functional MRI (fMRI), has further enhanced the diagnostic capabilities of MRI in neurological diseases.

From diagnosing cerebrovascular diseases like stroke to assessing neurodegenerative disorders such as Alzheimer's disease, MRI plays a crucial role in the detection, evaluation, and management of neurological conditions. The use of MRI-guided interventions, such as stereotactic biopsy and deep brain stimulation, has also expanded the therapeutic options for patients with neurological disorders.

This Special Issue aims to improve our knowledge of the application of magnetic resonance imaging in neurology. Original research articles, reviews, and other article types are welcome.

We look forward to your submissions.

Dr. Agnieszka Sabisz
Guest Editor

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Keywords

  • magnetic resonance imaging (MRI)

  • neurology
  • brain imaging
  • neurological diseases
  • cerebrovascular diseases
  • neurodegenerative disorders
  • image processing
  • diffusion tensor imaging (DTI)
  • functional mri (FMRI)
  • mri-guided interventions

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Published Papers (1 paper)

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9 pages, 4296 KiB  
Brief Report
Neuroimaging Correlates of Post-COVID-19 Symptoms: A Functional MRI Approach
by Marine M. Tanashyan, Polina I. Kuznetsova, Sofya N. Morozova, Vladislav A. Annushkin and Anton A. Raskurazhev
Diagnostics 2024, 14(19), 2180; https://doi.org/10.3390/diagnostics14192180 - 29 Sep 2024
Viewed by 1589
Abstract
Backgrounds and Purpose: Post-COVID syndrome is characterized by persistent symptoms, including fatigue and cognitive impairment. These symptoms may be experienced by up to 80% of patients. We aimed to identify possible patterns of brain activation underlying post-COVID fatigue. Methods: The study used functional [...] Read more.
Backgrounds and Purpose: Post-COVID syndrome is characterized by persistent symptoms, including fatigue and cognitive impairment. These symptoms may be experienced by up to 80% of patients. We aimed to identify possible patterns of brain activation underlying post-COVID fatigue. Methods: The study used functional MRI (Siemens MAGNETOM Prisma 3T scanner with a specially created protocol) of the brain in 30 patients with post-COVID fatigue syndrome and 20 healthy volunteers. Task functional MRI (fMRI) was performed using a cognitive paradigm (modified Stroop test). Eligible patients included adults aged 18–50 years with a >12 weeks before enrolment (less than 12 months) prior history of documented COVID-19 with symptoms of fatigue not attributable to any other cause, and with MFI-20 score > 30 and MoCA at first visit. Healthy control participants had no prior history of COVID-19 and negative tests for severe acute coronavirus respiratory syndrome with MFI-20 score < 30 and MoCA at first visit. Task fMRI data were processed using the SPM12 software package based on MATLAB R2022a. Results: Cognitive task fMRI analysis showed significantly higher activation in the post-COVID group versus healthy volunteers’ group. Between-group analysis showed significant activation differences. Using a threshold of T > 3 we identified eight clusters of statistically significant activation: supramarginal gyri, posterior cingulate cortex, opercular parts of precentral gyri and cerebellum posterior lobe bilaterally. Conclusions: Post-COVID fatigue syndrome associated with subjective cognitive impairment could show changes in brain functional activity in the areas connected with information processing speed and quality. Full article
(This article belongs to the Special Issue Application of Magnetic Resonance Imaging in Neurology)
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