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Clinical Management and Radiological Assessment in Traumatic Brain Injury
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Clinical Management and Radiological Assessment in Traumatic Brain Injury

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Neurology".

Deadline for manuscript submissions: 20 October 2025 | Viewed by 1691

Special Issue Editor

Dr. Daniel Pinggera

E-Mail Website
Guest Editor
Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
Interests: traumatic brain injury; spinal degenerative diseases; neuro-oncology; neurosurgery

Special Issue Information

Dear Colleagues,

We are delighted to introduce this Special Issue focusing on traumatic brain injury (TBI), emphasizing its significant global impact on fatalities, disabilities, and long-term dependence. Acknowledging the complexity of TBI, strict clinical management, early treatment decisions, and comprehensive radiological assessments are essential to achieve optimal outcomes. This Special Issue, titled “Clinical Management and Radiological Assessment in Traumatic Brain Injury”, aims to provide insights into the latest advancements and future directions within TBI management, covering aspects such as clinical work-up, imaging, diagnosis, prognosis, and both surgical and non-surgical interventions.

Moreover, this Special Issue aims to explore diverse topics, including surgical management, neuroimaging, and rehabilitation, with contributions from leading experts in the field. The articles published herein should aim to discuss advanced techniques and technologies in TBI diagnosis and management. Additionally, this Special Issue intends to address both challenges and opportunities, such as biomarker utilization, neuroimaging’s role, and targeted metabolomic protocols. This Special Issue will be valuable for healthcare professionals involved in the care of TBI patients.

Dr. Daniel Pinggera
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly 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

  • traumatic brain injury
  • MRI
  • MR spectroscopy
  • neuroimaging
  • biomarker
  • neurocritical care
  • decompressive craniectomy
  • neuromonitoring
  • surgery
  • metabolomics
  • biomarker
  • rehabilitation

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

Published Papers (1 paper)

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23 pages, 843 KiB  
Systematic Review
Neuromechanical Models of Mild Traumatic Brain Injury Conditioned on Reaction Time: A Systematic Review and Meta-Analysis
by Avinash Baskaran, Ross D. Hoehn and Chad G. Rose
J. Clin. Med. 2024, 13(24), 7648; https://doi.org/10.3390/jcm13247648 - 16 Dec 2024
Viewed by 1186
Abstract
The accurate, repeatable, and cost-effective quantitative characterization of mild traumatic brain injuries (mTBIs) is crucial for safeguarding the long-term health and performance of high-risk groups, including athletes, emergency responders, and military personnel. However, gaps remain in optimizing mTBI assessment methods, especially regarding the [...] Read more.
The accurate, repeatable, and cost-effective quantitative characterization of mild traumatic brain injuries (mTBIs) is crucial for safeguarding the long-term health and performance of high-risk groups, including athletes, emergency responders, and military personnel. However, gaps remain in optimizing mTBI assessment methods, especially regarding the integration of neuromechanical metrics such as reaction time (RT) in predictive models. Background/Objectives: This review synthesizes existing research on the use of neuromechanical probabilistic models as tools for assessing mTBI, with an emphasis on RT’s role in predictive diagnostics. Methods: We examined 57 published studies on recent sensing technologies such as advanced electromyographic (EMG) systems that contribute data for probabilistic neural imaging, and we also consider measurement models for real-time RT tracking as a diagnostic measure. Results: The analysis identifies three primary contributions: (1) a comprehensive survey of probabilistic approaches for mTBI characterization based on RT, (2) a technical examination of these probabilistic algorithms in terms of reliability and clinical utility, and (3) a detailed outline of experimental requirements for using RT-based metrics in psychomotor tasks to advance mTBI diagnostics. Conclusions: This review provides insights into implementing RT-based neuromechanical metrics within experimental frameworks for mTBI diagnosis, suggesting that such metrics may enhance the sensitivity and utility of assessment and rehabilitation protocols. Further validation studies are recommended to refine RT-based probabilistic models for mTBI applications. Full article
(This article belongs to the Special Issue Clinical Management and Radiological Assessment in Traumatic Brain Injury)
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