Background: This study was conducted to investigate topological changes in large-scale functional connectivity (FC) and structural connectivity (SC) networks in acute mild traumatic brain injury (mTBI) and determine their potential relevance to cognitive impairment.
Methods: Seventy-one patients with acute mTBI (29 males, 42 females, mean age 43.54 years) from Nanjing First Hospital and 57 matched healthy controls (HC) (33 males, 24 females, mean age 46.16 years) from the local community were recruited in this prospective study. Resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) were acquired within 14 days (mean 3.29 days) after the onset of mTBI. Then, large-scale FC and SC networks with 116 regions from the automated anatomical labeling (AAL) brain atlas were constructed. Graph theory analysis was used to analyze global and nodal metrics. Finally, correlations were assessed between topological properties and neurocognitive performances evaluated by the Montreal Cognitive Assessment (MoCA). Bonferroni correction was performed out for multiple comparisons in all involved analyses.
Results: Compared with HC, acute mTBI patients had a higher normalized clustering coefficient () for FC (Cohen's d=4.076), and higher and small worldness () for SC (Cohen's d=0.390 and Cohen's d=0.395). The mTBI group showed aberrant nodal degree (Dc), nodal efficiency (Ne), and nodal local efficiency (Nloc) for FC and aberrant Dc, nodal betweenness (Bc), nodal clustering coefficient (NCp) and Ne for SC mainly in the frontal and temporal, cerebellum, and subcortical areas. Acute mTBI patients also had higher functional-structural coupling strength at both the group and individual levels (Cohen's d=0.415). These aberrant global and nodal topological properties at functional and structural levels were associated with attention, orientation, memory, and naming performances (all P<0.05).
Conclusions: Our findings suggested that large-scale FC and SC network changes, higher correlation between FC and SC and cognitive impairment can be detected in the acute stage of mTBI. These network aberrances may be a compensatory mechanism for cognitive impairment in acute mTBI patients.
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http://dx.doi.org/10.21037/qims-22-450 | DOI Listing |
Brain Inj
January 2025
St. John's Rehab Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Objective: Mild traumatic brain injury (mTBI) is frequently overlooked in polytrauma patients due to the overshadowing of more severe injuries, a fact that makes its identification in post-acute settings challenging since symptoms overlap with other conditions and no validated diagnostic tools exist. To address this gap, this scoping review explored the literature on mTBI diagnosis in post-acute civilian polytrauma settings.
Methods: By utilizing the Arksey and O'Malley framework and PRISMA-ScR guidelines, the review focused on studies from 2010 to 2024 related to delayed mTBI diagnosis in adults.
Pain
September 2024
Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
Traumatic brain injury (TBI) annually impacts 69 million individuals worldwide. Mild TBI constitutes approximately 90% of all TBIs. Chronic pain post-mTBI occurs in 29% to 58% of patients.
View Article and Find Full Text PDFInt J Technol Assess Health Care
December 2024
Biostatistics Unit. University Hospital Ramon y Cajal, Madrid, Spain.
Background: The assessment of technology in hospital settings is a crucial step towards ensuring the delivery of efficient, effective, and safe healthcare.
Objective: This study conducts a Hospital-Based Health Technology Assessment to evaluate the efficacy of a screening rapid test for mild Traumatic Brain Injury (mild TBI) utilizing blood biomarkers, specifically Glial Fibrillary Acidic Protein (GFAP) and Ubiquitin C-terminal Hydrolase L1 (UCH-L1). The assessment focuses on the clinical utility and performance characteristics of the proposed rapid test within a hospital setting.
Neurology
January 2025
From the Perioperative, Acute, Critical Care and Emergency Medicine (PACE) (D.P.W., D.M., V.F.J.N.), Department of Medicine, University of Cambridge, Addenbrooke's Hospital; Division of Psychology (L.W.), University of Stirling, United Kingdom; Department of Neurosurgery (E.C.), Medical School, and Neurotrauma Research Group (E.C.), Szentagothai Research Centre, University of Pecs, Hungary; Department of Neurosurgery (A.B.), Faculty of Medicine and Health, Örebro University, Sweden; Department of Neurobiology (K.K.W.W.), Center for Neurotrauma, Multiomics & Biomarkers (CNMB) Neuroscience Institute, Morehouse School of Medicine (MSM), Atlanta, GA; Program for Neurotrauma, Neuroproteomics and Biomarker Research (K.K.W.W.), Departments of Emergency Medicine, Psychiatry and Neuroscience, University of Florida, McKnight Brain Institute, Gainesville; Institute of Psychology (N.v.S., M.Z.), University of Innsbruck; Faculty of Psychotherapy Science (M.Z.), Sigmund Freud University, Vienna, Austria; Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Department of Neurosurgery (A.I.R.M.), Antwerp University Hospital, Edegem; and Department of Translational Neuroscience (A.I.R.M.), Faculty of Medicine and Health Science, University of Antwerp, Belgium.
Background And Objectives: There is seemingly contradictory evidence concerning relationships between day-of-injury biomarkers and outcomes after mild traumatic brain injury (mTBI). To address this issue, we examined the association between a panel of biomarkers and multidimensional TBI outcomes.
Methods: Participants with mTBI (Glasgow coma scores [GCSs] 13-15) were selected from Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury, a European observational study recruiting patients with TBI with indication for brain CT and presentation within 24 hours.
J Int Neuropsychol Soc
November 2024
Department of Psychology, University of Montreal, Montreal, Canada.
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