Brain/Neuroimaging 2025

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

Deadline for manuscript submissions: 30 September 2025 | Viewed by 953

Special Issue Editor


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Guest Editor
1. Department of Radiology and Nuclear Medicine, Esbjerg Hospital-University Hospital of Southern Denmark, Esbjerg, Denmark
2. Department of Regional Health Research, University of Southern Denmark, Esbjerg, Denmark
3. IRIS-Imaging Research Initiative Southwest, Esbjerg, Denmark
Interests: radiology; neuroimaging; multiple sclerosis; neurological disorders; neurodegeneration; neurological diseases; stroke
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Special Issue Information

Dear Colleagues,

Advanced neuroimaging approaches are being used as valuable additional tools in characterizing brain lesions alongside conventional imaging techniques. The importance of advanced neuroimaging approaches is that they can provide information regarding the underlying pathophysiology of various brain lesions. Currently, both computed tomography (CT) and magnetic resonance imaging (MRI) include modern neuroimaging techniques, like dual-energy CT, photon-counting CT, perfusion MRI, functional MRI, diffusion-weighted MRI, diffusion tensor imaging, MRI spectroscopy, and MRI fingerprinting. Advanced approaches like radiomics analysis applied to CT and MRI images are increasingly being used for brain lesion characterization. Combining advanced neuroimaging approaches along with artificial intelligence techniques such as machine learning and deep learning algorithms will further promote and accelerate the adaptation of advanced neuroimaging methods in routine clinical neuroimaging. This Special Issue, entitled "Brain/Neuroimaging 2025", will include the application of advanced neuroimaging approaches for the characterization of brain lesions (tumors, demyelinating changes, ischemic stroke, hemorrhage, and infectious lesions) and neurodegenerative disorders, as well as the monitoring of treatment-induced brain lesions.

Dr. Ronald Antulov
Guest Editor

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Keywords

  • advanced neuroimaging
  • dual-energy CT
  • photon-counting CT
  • perfusion MRI
  • MRI fingerprinting
  • brain lesions
  • neurodegenerative disorders
  • brain imaging
  • diagnosis
  • prognosis

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Published Papers (1 paper)

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Research

20 pages, 4466 KiB  
Article
Pain-Related White-Matter Changes Following Mild Traumatic Brain Injury: A Longitudinal Diffusion Tensor Imaging Pilot Study
by Ho-Ching Yang, Tyler Nguyen, Fletcher A. White, Kelly M. Naugle and Yu-Chien Wu
Diagnostics 2025, 15(5), 642; https://doi.org/10.3390/diagnostics15050642 - 6 Mar 2025
Viewed by 761
Abstract
Background: This study used diffusion tensor imaging (DTI) to detect brain microstructural changes in participants with mild traumatic brain injury (mTBI) who experienced post-traumatic headaches, a common issue that affects quality of life and rehabilitation. Despite its prevalence, the mechanisms behind post-traumatic headache [...] Read more.
Background: This study used diffusion tensor imaging (DTI) to detect brain microstructural changes in participants with mild traumatic brain injury (mTBI) who experienced post-traumatic headaches, a common issue that affects quality of life and rehabilitation. Despite its prevalence, the mechanisms behind post-traumatic headache are not well understood. Methods: Participants were recruited from Level 1 trauma centers, and MRI scans, including T1-weighted anatomical imaging and DTI, were acquired 1 month post-injury. Advanced imaging techniques corrected artifacts and extracted diffusion tensor measures reflecting white-matter integrity. Pain sensitivity assays were collected at 1 and 6 months post-injury, including quantitative sensory testing and psychological assessments. Results: Significant aberrations in axial diffusivity in the forceps major were observed in mTBI participants (n = 12) compared to healthy controls (n = 10) 1 month post-injury (p = 0.02). Within the mTBI group, DTI metrics at 1 month were significantly associated with pain-related and psychological outcomes at 6 months. Statistical models revealed group differences in the right sagittal stratum (p < 0.01), left insula (p < 0.04), and left superior longitudinal fasciculus (p < 0.05). Conclusions: This study shows that DTI metrics at 1 month post-injury are sensitive to mTBI and predictive of chronic pain and psychological outcomes at 6 months. Full article
(This article belongs to the Special Issue Brain/Neuroimaging 2025)
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