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Biomedicines
Special Issues
Modern Applications of Advanced Imaging to Neurological Disease
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Modern Applications of Advanced Imaging to Neurological Disease

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 770

Special Issue Editors

Dr. Manisha Koneru

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Guest Editor
Department of Neurology, Cooper Medical School, Rowan University, Camden, NJ, USA
Interests: neurointerventional surgery; stroke; neuroimaging; cerebrovascular disease
Dr. Hamza Adel Salim

E-Mail Website
Guest Editor
1. Department of Neuroradiology, MD Anderson Medical Center, Houston, TX 77030, USA
2. Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, MD, USA
Interests: neuroradiology; neuroimaging; stroke; aneurysms

Special Issue Information

Dear Colleagues,

This Special Issue, “Modern Applications of Advanced Imaging to Neurological Disease”, seeks to collate research related to the applications of a newer generation of imaging techniques, such as high-resolution magnetic resonance imaging, computed tomography perfusion, functional magnetic resonance imaging, diffusion tensor imaging, and high-resolution vessel wall imaging, among others, for the diagnosis, treatment, or prognostication of neurological diseases, inclusive of neurovascular disease, neurodegeneration, migraines, and neuro-oncology. Novel applications of semi-automated and artificial intelligence-driven methods for analyzing neuroimaging data from advanced imaging methods are especially encouraged. This Special Issue invites all formats of submissions, including original research and narrative reviews.

We look forward to receiving your innovative contributions that will help shape the future of neuroimaging in neurological care.

Dr. Manisha Koneru
Dr. Hamza Adel Salim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomedicines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neuroimaging
  • cerebrovascular disease
  • neuro-oncology
  • compted tomography
  • magnetic resonance imaging
  • patient outcomes
  • neurosciences
  • neuroradiology

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Published Papers (2 papers)

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Research

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22 pages, 3476 KB  
Article
Longitudinal Changes in Brain Network Metrics and Their Correlations with Spinal Cord Diffusion Tensor Imaging Parameters Following Spinal Cord Injury and Regenerative Therapy
by Ting Feng, Can Zhao, Wen-Nan Su, Yi-Meng Gao, Yuan-Yuan Wu, Wen Zhao, Jia-Sheng Rao, Zhao-Yang Yang and Xiao-Guang Li
Biomedicines 2025, 13(12), 3124; https://doi.org/10.3390/biomedicines13123124 - 18 Dec 2025
Viewed by 270
Abstract
Objectives: Spinal cord injury (SCI) disrupts the microstructure of the spinal cord, triggers reorganization of the brain network, and causes motor deficits. However, the temporal dynamics and interrelationships of these alterations remain unclear. Methods: Eight monkeys underwent spinal cord hemisection and were randomly [...] Read more.
Objectives: Spinal cord injury (SCI) disrupts the microstructure of the spinal cord, triggers reorganization of the brain network, and causes motor deficits. However, the temporal dynamics and interrelationships of these alterations remain unclear. Methods: Eight monkeys underwent spinal cord hemisection and were randomly assigned to either the SCI-only group or the treatment group that received neurotrophin-3-chitosan implants. Longitudinal brain structural/resting-state magnetic resonance imaging and spinal cord diffusion tensor imaging (DTI) were conducted. Concurrently, hindlimb motor function was assessed. The brain network topology was characterized through graph theory. The generalized additive mixed model (GAMM) was employed to analyze the longitudinal trajectories of network metrics, while the linear mixed-effects model (LMM) was used to evaluate the moderating effect of treatment on correlations between network metrics and motor/DTI parameters. Results: The SCI-only group exhibited sustained functional network segregation, aberrant structural topology, and lower fractional anisotropy (FA). These findings collectively reflect chronic maladaptive plasticity. In the treatment group, the therapy not only enhanced white matter integrity, reflected by increased FA values, but also reduced the clustering coefficient (Cp) in brain structural network, indicating a shift away from maladaptive segregation. Critically, the LMMs further revealed that treatment moderated the pathological correlations between global efficiency (Eg), local efficiency, Cp, and locomotor parameters. Moreover, spinal FA exerted a significant main effect on Eg of brain functional networks. Conclusions: These findings suggest that treatment-induced brain reorganization underlies motor function following SCI, and progressive brain reorganization correlates with changes in spinal cord microstructure, revealing a systems-level mechanism of neural repair. Full article
(This article belongs to the Special Issue Modern Applications of Advanced Imaging to Neurological Disease)
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Review

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9 pages, 228 KB  
Review
Diffusion Tensor Imaging-Based Glymphatic Dysfunction Assessments in Migraine Syndromes: Mechanisms and Diagnostic Implications
by Emily Lai, Joshua Estin, Jiahao Zhou, Roger Sheffmaker and Manisha Koneru
Biomedicines 2025, 13(12), 2981; https://doi.org/10.3390/biomedicines13122981 - 4 Dec 2025
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Abstract
Migraine is a common neurological disorder. Impaired glymphatic clearance has been recently implicated in the pathogenesis of migraine. Diffusion tensor imaging (DTI) metrics have been explored as a tool for assessing glymphatic status. The objective is to summarize recent advances in identifying potentially [...] Read more.
Migraine is a common neurological disorder. Impaired glymphatic clearance has been recently implicated in the pathogenesis of migraine. Diffusion tensor imaging (DTI) metrics have been explored as a tool for assessing glymphatic status. The objective is to summarize recent advances in identifying potentially useful DTI metrics in migraine patient populations. Since 2020, there has been mixed evidence regarding the applicability of various DTI metrics in migraine subpopulations. Most studies focused on whole-brain analyses, or specified regions of interest along the perivascular space, to extract quantitative parameters; most studies compared differences in these parameters associated with a migraine diagnosis, or were aiming to assess correlation between these parameters and migraine subtypes. Thus, early studies have demonstrated conflicting results regarding the utility and applicability of DTI for migraine. Greater insight into the molecular basis between migraine pathophysiology and the glymphatic system might help shape approaches to analyzing DTI data for migraine patients. Future studies incorporating larger cohorts and integrating advanced data analytics may provide additional information for the role of DTI in migraine. Full article
(This article belongs to the Special Issue Modern Applications of Advanced Imaging to Neurological Disease)
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