Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Biomedicines
Special Issues
Modern Applications of Advanced Imaging to Neurological Disease
share announcement

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: closed (30 April 2026) | Viewed by 3238

Special Issue Editors

Dr. Manisha Koneru

E-Mail Website
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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

15 pages, 2995 KB  
Article
Increased Cerebral Vein Diameters Are Associated with Age and White Matter Hyperintensity
by Gokhan Duygulu and Fulya Kahraman
Biomedicines 2026, 14(2), 477; https://doi.org/10.3390/biomedicines14020477 - 21 Feb 2026
Viewed by 555
Abstract
Objective: White matter hyperintensity (WMH) is one of the most common and prominent changes seen in elderly individuals, especially on MRI. WMH is associated with serious conditions such as hemorrhagic and ischemic stroke, depression and dementia. Recently, the relationship between cerebral venous diameter [...] Read more.
Objective: White matter hyperintensity (WMH) is one of the most common and prominent changes seen in elderly individuals, especially on MRI. WMH is associated with serious conditions such as hemorrhagic and ischemic stroke, depression and dementia. Recently, the relationship between cerebral venous diameter and WMH was described. This study aimed to investigate the relationship between the Fazekas scale, which evaluates the severity of WMH, and cerebral vein diameters, age and clinical outcomes analysis. Materials and Methods: MRI images of 660 patients were examined retrospectively. FLAIR and SWI (MiniP) images were used to evaluate WMH and cerebral vein diameters. Internal cerebral veins (ICV), thalamostriate veins (TSV), anterior septal veins (ASV) and superior sagittal sinus (SSS) diameters were measured. Cerebral vein diameters were compared with age, WMH, hypertension, hyperlipidemia, diabetes mellitus, lacunar infarct and microhemorrhage presence. Results: In the presence of hypertension, hyperlipidemia, diabetes, lacunar infarction and microhemorrhage, Fazekas score, mean ICV-right, ICV-left, ASV-right, ASV-left, TSV-right and TSV-left values were significantly higher. The mean ICV-right, ICV-left, ASV-right, ASV-left, TSV-right and TSV-left values of the middle-aged and elderly groups were significantly higher than the young group. A strong positive correlation was observed between age and mean ICV-right, ICV-left, ASV-right and ASV-left values, while a moderate positive correlation was shown with TSV-right and TSV-left values. A weak negative correlation was determined with SSS values. Conclusions: Cerebral vein diameter increases with age and is associated with the severity of WMH. Clinicians can monitor cerebral vein diameter to predict the severity of WMH. Full article
(This article belongs to the Special Issue Modern Applications of Advanced Imaging to Neurological Disease)
►▼ Show Figures

Figure 1

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
Cited by 1 | Viewed by 994
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)
►▼ Show Figures

Graphical abstract

Review

Jump to: Research

20 pages, 623 KB  
Review
Susceptibility-Based MRI in Cerebral Arteriovenous Malformations: From Venous Drainage to Physiological Biomarkers—A Narrative Review
by Karol Wiśniewski, Takashi Iimori and Yasuaki Inoue
Biomedicines 2026, 14(5), 1121; https://doi.org/10.3390/biomedicines14051121 - 15 May 2026
Viewed by 305
Abstract
Background: Cerebral arteriovenous malformations (AVMs) are high-flow shunts in which abnormal arteriovenous connections expose draining veins to venous hypertension, arterialization, and altered oxygenation. While digital subtraction angiography (DSA) remains the reference standard for dynamic angioarchitecture, it does not directly characterize venous oxygenation or [...] Read more.
Background: Cerebral arteriovenous malformations (AVMs) are high-flow shunts in which abnormal arteriovenous connections expose draining veins to venous hypertension, arterialization, and altered oxygenation. While digital subtraction angiography (DSA) remains the reference standard for dynamic angioarchitecture, it does not directly characterize venous oxygenation or microhemorrhagic tissue changes. Objective: To synthesize current evidence on susceptibility-based MRI-susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM) for characterization, risk-related features, and treatment monitoring in cerebral AVMs. Methods: Narrative review of the foundational and contemporary literature on AVM pathophysiology, SWI and QSM technical principles, and clinical applications including venous drainage depiction, microhemorrhage detection, oxygenation-related biomarkers, and post-treatment surveillance. Results: SWI provides high-resolution, non-contrast depiction of venous drainage and perinidal hemorrhagic/calcific components, improving visualization of draining veins and microhemorrhages compared with conventional MRI and complementing TOF-MRA. Arterialized draining veins may show altered SWI signal consistent with elevated venous oxygen saturation, though interpretation is indirect and influenced by flow and orientation. QSM extends susceptibility imaging by quantifying tissue susceptibility and enabling indirect estimation of venous oxygenation (SvO2), offering a potential physiological biomarker of shunt severity and treatment response after radiosurgery or embolization. Key limitations include lack of dynamic flow timing, flow-related artifacts, orientation dependence, confounding from hemorrhage/calcification, and limited standardization and prospective validation. Conclusions: Susceptibility-based MRI does not replace DSA but meaningfully enriches multimodal AVM assessment by adding structural and physiological information-particularly venous mapping, microhemorrhage detection, and oxygenation-sensitive biomarkers. Standardized acquisition/reconstruction and prospective studies are needed to validate susceptibility-derived metrics for risk stratification and longitudinal monitoring. Full article
(This article belongs to the Special Issue Modern Applications of Advanced Imaging to Neurological Disease)
►▼ Show Figures

Figure 1

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
Viewed by 944
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)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop