ReviewFrontiers in neuroscience2022
Advanced Neuroimaging Role in Traumatic Brain Injury: A Narrative Review.
Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Magnetic Resonance Spectroscopy of Traumatic Brain Injury and Subconcussive Hits: A Systematic Review and Meta-Analysis.Journal of neurotrauma · 2022Pooled it
- Engineering Brain Injury In Vitro: Human iPSC-Based Organoids in Microfluidic Systems.Applied sciences (Basel, Switzerland) · 2026Article
- Nanomaterial-enhanced biosensors for traumatic brain injury biomarker detection: a review of analytical performance, machine learning integration, clinical validation, and point-of-care translation.Frontiers in neurology · 2026Review
- From Falls to Frontal Lobe Dysfunction: A Case Report on the Neurodevelopmental Impact of Pediatric Traumatic Brain Injury.Case reports in psychiatry · 2026Article
- Neuroimaging in traumatic brain injury: a bibliometric analysis.International journal of emergency medicine · 2025Review
- Brain-Inspired Multisensory Learning: A Systematic Review of Neuroplasticity and Cognitive Outcomes in Adult Multicultural and Second Language Acquisition.Biomimetics (Basel, Switzerland) · 2025Review
- Functional Connectivity Patterns Following Mild Traumatic Brain Injury and the Association With Longitudinal Cognitive Function.Human brain mapping · 2025Article
- Traumatic Brain Injury: Novel Experimental Approaches and Treatment Possibilities.Life (Basel, Switzerland) · 2025Review
- Animal Models of Traumatic Brain Injury and Their Relevance in Clinical Settings.CNS neuroscience & therapeutics · 2025Review
- NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.Radiology. Artificial intelligence · 2025Article
- Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents.Frontiers in computational neuroscience · 2025Article
- Advancements in the application of multimodal monitoring and machine learning for the development of personalized therapeutic strategies in traumatic brain injury.Frontiers in human neuroscience · 2025Review
- Mapping small metabolite changes after traumatic brain injury using AP-MALDI MSI.Analytical and bioanalytical chemistry · 2024Article
- Rate of abnormalities in quantitative MR neuroimaging of persons with chronic traumatic brain injury.BMC neurology · 2024Article
- "NeuroVanguard": a contemporary strategy in neuromonitoring for severe adult brain injury patients.Critical care (London, England) · 2024Review
- Non-Invasive Systems Application in Traumatic Brain Injury Rehabilitation.Brain sciences · 2023Review
- [Traumatic brain injury].Der Nervenarzt · 2023Article
- Advances in understanding the pathogenesis of post-traumatic epilepsy: a literature review.Frontiers in neurology · 2023Review
- Article
- Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) is a common source of morbidity and mortality among civilians and military personnel. Initial routine neuroimaging plays an essential role in rapidly assessing intracranial injury that may require intervention. However, in the context of TBI, limitations of routine neuroimaging include poor visualization of more subtle changes of brain parenchymal after injury, poor prognostic ability and inability to analyze cerebral perfusion, metabolite and mechanical properties. With the development of modern neuroimaging techniques, advanced neuroimaging techniques have greatly boosted the studies in the diagnosis, prognostication, and eventually impacting treatment of TBI. Advances in neuroimaging techniques have shown potential, including (1) Ultrasound (US) based techniques (contrast-enhanced US, intravascular US, and US elastography), (2) Magnetic resonance imaging (MRI) based techniques (diffusion tensor imaging, magnetic resonance spectroscopy, perfusion weighted imaging, magnetic resonance elastography and functional MRI), and (3) molecular imaging based techniques (positron emission tomography and single photon emission computed tomography). Therefore, in this review, we aim to summarize the role of these advanced neuroimaging techniques in the evaluation and management of TBI. This review is the first to combine the role of the US, MRI and molecular imaging based techniques in TBI. Advanced neuroimaging techniques have great potential; still, there is much to improve. With more clinical validation and larger studies, these techniques will be likely applied for routine clinical use from the initial research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.