Clinical Use of Bedside Portable Ultra-Low-Field Brain Magnetic Resonance Imaging in Patients on Extracorporeal Membrane Oxygenation: Results From the Multicenter SAFE MRI ECMO Study.

BACKGROUND: Early detection of acute brain injury (ABI) at the bedside is critical in improving survival for patients with extracorporeal membrane oxygenation (ECMO) support. We aimed to examine the safety of ultra-low-field (ULF; 0.064-T) portable magnetic resonance imaging (pMRI) in patients undergoing ECMO and to investigate the ABI frequency and types with ULF-pMRI. METHODS: This was a multicenter prospective observational study (SAFE MRI ECMO study [Assessing the Safety and Feasibility of Bedside Portable Low-Field Brain Magnetic Resonance Imaging in Patients on ECMO]; NCT05469139) from 2 tertiary centers (Johns Hopkins, Baltimore, MD and University of Texas-Houston) with specially trained intensive care units. Primary outcomes were safety of ULF-pMRI during ECMO support, defined as completion of ULF-pMRI without significant adverse events. RESULTS: Of 53 eligible patients, 3 were not scanned because of a large head size that did not fit within the head coil. ULF-pMRI was performed in 50 patients (median age, 58 years; 52% male), with 34 patients (68%) on venoarterial ECMO and 16 patients (32%) on venovenous ECMO. Of 34 patients on venoarterial ECMO, 11 (22%) were centrally cannulated and 23 (46%) were peripherally cannulated. In venovenous ECMO, 9 (18%) had single-lumen cannulation and 7 (14%) had double-lumen cannulation. Of 50 patients, adverse events occurred in 3 patients (6%), with 2 minor adverse events (ECMO suction event; transient low ECMO flow) and one serious adverse event (intra-aortic balloon pump malfunction attributable to electrocardiographic artifacts). All images demonstrated discernible intracranial pathologies with good quality. ABI was observed in 22 patients (44%). Ischemic stroke (36%) was the most common type of ABI, followed by intracranial hemorrhage (6%) and hypoxic-ischemic brain injury (4%). Of 18 patients (36%) with both ULF-pMRI and head computed tomography within 24 hours, ABI was observed in 9 patients with a total of 10 events (8 ischemic, 2 hemorrhagic events). Of the 8 ischemic events, pMRI observed all 8, and head computed tomography observed only 4 events. For intracranial hemorrhage, pMRI observed only 1 of them, and head computed tomography observed both (2 events). CONCLUSIONS: Our study demonstrates that ULF-pMRI can be performed in patients on ECMO across different ECMO cannulation strategies in specially trained intensive care units. The incidence of ABI was high, seen in 44% of ULF-pMRI studies. ULF-pMRI imaging appears to be more sensitive to ABI, particularly ischemic stroke, compared with head computed tomography.

PRECIOUS study (PREterm Caesarean/vaginal birth and IVH/OUtcomeS): does mode of birth reduce the risk of death or brain injury in very preterm babies? A cohort and emulated target trial protocol.

INTRODUCTION: Very preterm babies are at risk of poor neurodevelopmental outcomes and death. Intraventricular haemorrhage (IVH) after birth is the most prevalent cause of this. Birth by caesarean section may protect against IVH in very preterm babies, but the evidence is limited. The aim is to identify and obtain the quantitative evidence needed to inform a future definitive clinical trial to determine the optimal mode of delivery in preterm birth. METHODS AND ANALYSIS: We will use three broad workstreams (WS) to answer complementary questions. WSs 1 and 2 involve the analysis of routinely recorded national clinical data held in an established research database. In WS1 (October 2023-March 2024), we will use conventional methods to identify what is needed to undertake a trial: the population of interest, areas of equipoise and a plausible range of effect sizes. In WS2 (April 2024-October 2024), using an emulated target trial framework, we will attempt to make inferences about the treatment effect from such a future trial and will identify potential challenges in recruitment and estimate likely 'intention-to-treat' versus 'per-protocol' profiles; these analyses will also be useful for power calculations for future possible trials. In WS3 (October 2024-March 2025), we will convene a consensus meeting with key stakeholders, supported by a clinical trials unit, to develop a multicentre clinical trial to identify the optimal mode of birth for preterm deliveries. ETHICS AND DISSEMINATION: In this study, we will use deidentified data held in the National Neonatal Research Database (NNRD), an established national population database; parents can opt out of their baby's data being held in the NNRD. HRA/Health and Care Research Wales and National Health Service (NHS) study-specific Research Ethics Committee approval (London-Queen Square Research Ethics Committee) (Ref: 23/LO/0826) ethical approval has been obtained. Key outputs of the PRECIOUS (PREterm Caesarean/vaginal birth and IVH/OUutcomeS) study include the identification of the data, and accordingly of the multidisciplinary team required, to develop, gain funding and complete, a clinical trial to definitively identify the optimal mode of delivery for preterm infants and their mothers.

Is non-invasive neuromodulation a viable technique to improve neuroplasticity in individuals with acquired brain injury? A review.

Objective: This study aimed to explore and evaluate the efficacy of non-invasive brain stimulation (NIBS) as a standalone or coupled intervention and understand its mechanisms to produce positive alterations in neuroplasticity and behavioral outcomes after acquired brain injury (ABI). Data sources: Cochrane Library, Web of Science, PubMed, and Google Scholar databases were searched from January 2013 to January 2024. Study selection: Using the PICO framework, transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) randomized controlled trials (RCTs), retrospective, pilot, open-label, and observational large group and single-participant case studies were included. Two authors reviewed articles according to pre-established inclusion criteria. Data extraction: Data related to participant and intervention characteristics, mechanisms of change, methods, and outcomes were extracted by two authors. The two authors performed quality assessments using SORT. Results: Twenty-two studies involving 657 participants diagnosed with ABIs were included. Two studies reported that NIBS was ineffective in producing positive alterations or behavioral outcomes. Twenty studies reported at least one, or a combination of, positively altered neuroplasticity and improved neuropsychological, neuropsychiatric, motor, or somatic symptoms. Twenty-eight current articles between 2020 and 2024 have been studied to elucidate potential mechanisms of change related to NIBS and other mediating or confounding variables. Discussion: tDCS and TMS may be efficacious as standalone interventions or coupled with neurorehabilitation therapies to positively alter maladaptive brain physiology and improve behavioral symptomology resulting from ABI. Based on postintervention and follow-up results, evidence suggests NIBS may offer a direct or mediatory contribution to improving behavioral outcomes post-ABI. Conclusion: More research is needed to better understand the extent of rTMS and tDCS application in affecting changes in symptoms after ABI.

Near-infrared spectroscopy in the diagnosis and management of acute internal carotid artery occlusion.

Acute internal carotid artery occlusion is a neurological emergency that can result in cerebral infarction. Superficial temporal artery to middle cerebral artery bypass is one option to treat a subset of such patients. Near-infrared spectroscopy (NIRS) is an emerging non-invasive technique that holds promise to facilitate the management of carotid occlusion patients by monitoring the oxygen saturation of specific brain areas at risk for hypoperfusion and infarction. This case report describes a man in his 50s who presented with left-sided weakness due to acute right internal carotid artery occlusion. The patient was successfully managed both medically and surgically while incorporating data from NIRS for decision-making.

'Knock down the brain': a nonlinear analysis of electroencephalography to study the effects of sub-concussion in boxers.

BACKGROUND AND PURPOSE: Boxing is associated with a high risk of head injuries and increases the likelihood of chronic traumatic encephalopathy. This study explores the effects of sub-concussive impacts on boxers by applying both linear and nonlinear analysis methods to electroencephalogram (EEG) data. METHODS: Twenty-one boxers were selected (mean ± SD, age 28.38 ± 5.5 years; weight 67.55 ± 8.90 kg; years of activity 6.76 ± 5.45; education 14.19 ± 3.08 years) and divided into 'beginner' and 'advanced' groups. The Montreal Cognitive Assessment and the Frontal Assessment Battery were administered; EEG data were collected in both eyes-open (EO) and eyes-closed (EC) conditions during resting states. Analyses of EEG data included normalized power spectral density (nPSD), power law exponent (PLE), detrended fluctuation analysis and multiscale entropy. Statistical analyses were used to compare the groups. RESULTS: Significant differences in nPSD and PLE were observed between the beginner and advanced boxers, with advanced boxers showing decreased mean nPSD and PLE (nPSD 4-7 Hz, p = 0.013; 8-13 Hz, p = 0.003; PLE frontal lobe F3 EC, p = 0.010). Multiscale entropy analysis indicated increased entropy at lower frequencies and decreased entropy at higher frequencies in advanced boxers (F3 EC, p = 0.024; occipital lobe O1 EO, p = 0.029; occipital lobe O2 EO, p = 0.036). These changes are similar to those seen in Alzheimer's disease. CONCLUSION: Nonlinear analysis of EEG data shows potential as a neurophysiological biomarker for detecting the asymptomatic phase of chronic traumatic encephalopathy in boxers. This methodology could help monitor athletes' health and reduce the risk of future neurological injuries in sports.

Development of a Quality Indicator Set for the Optimal Acute Management of Moderate to Severe Traumatic Brain Injury in the Australian Context.

BACKGROUND: The aim of this study was to develop a consensus-based set of indicators of high-quality acute moderate to severe traumatic brain injury (msTBI) clinical management that can be used to measure structure, process, and outcome factors that are likely to influence patient outcomes. This is the first stage of the PRECISION-TBI program, which is a prospective cohort study that aims to identify and promote optimal clinical management of msTBI in Australia. METHODS: A preliminary set of 45 quality indicators was developed based on available evidence. An advisory committee of established experts in the field refined the initial indicator set in terms of content coverage, proportional representation, contamination, and supporting evidence. The refined indicator set was then distributed to a wider Delphi panel for assessment of each indicator in terms of validity, measurement feasibility, variability, and action feasibility. Inclusion in the final indicator set was contingent on prespecified inclusion scoring. RESULTS: The indicator set was structured according to the care pathway of msTBI and included prehospital, emergency department, neurosurgical, intensive care, and rehabilitation indicators. Measurement domains included structure indicators, logistic indicators, and clinical management indicators. The Delphi panel consisted of 44 participants (84% physician, 12% nursing, and 4% primary research) with a median of 15 years of practice. Of the 47 indicators included in the second round of the Delphi, 32 indicators were approved by the Delphi group. CONCLUSIONS: This study identified a set of 32 quality indicators that can be used to structure data collection to drive quality improvement in the clinical management of msTBI. They will also be used to guide feedback to PRECISION-TBI's participating sites.

Public and Clinician Perspectives on Ventilator Withdrawal in Vegetative State Following Severe Acute Brain Injury: A Vignette Survey.

BACKGROUND: The vegetative state (VS) after severe acute brain injury (SABI) is associated with significant prognostic uncertainty and poor long-term functional outcomes. However, it is generally distinguished from imminent death and is exempt from the Life-Sustaining Treatment (LST) Decisions Act in Korea. Here, we aimed to examine the perspectives of the general population (GP) and clinicians regarding decisions on mechanical ventilator withdrawal in patients in a VS after SABI. METHODS: A cross-sectional survey was undertaken, utilizing a self-reported online questionnaire based on a case vignette. Nationally selected by quota sampling, the GP comprised 500 individuals aged 20 to 69 years. There were 200 doctors from a tertiary university hospital in the clinician sample. Participants were asked what they thought about mechanical ventilator withdrawal in patients in VS 2 months and 3 years after SABI. RESULTS: Two months after SABI in the case, 79% of the GP and 83.5% of clinicians had positive attitudes toward mechanical ventilator withdrawal. In the GP, attitudes were associated with spirituality, household income, religion, the number of household members. On the other hand, clinicians' attitudes were related to their experience of completing advance directives (AD) and making decisions about LST. In this case, 3 years after SABI, 92% of the GP and 94% of clinicians were more accepting of ventilator withdrawal compared to previous responses, based on the assumption that the patient had written AD. However, it appeared that the proportion of positive responses to ventilator withdrawal decreased when the patients had only verbal expressions (82% of the GP; 75.5% of clinicians) or had not previously expressed an opinion regarding LST (58% of the GP; 39.5% of clinicians). CONCLUSION: More than three quarters of both the GP and clinicians had positive opinions regarding ventilator withdrawal in patients in a VS after SABI, which was reinforced with time and the presence of AD. Legislative adjustments are needed to ensure that previous wishes for those patients are more respected and reflected in treatment decisions.

Is time to first CT scan in patients with isolated severe traumatic brain injury prolonged when prehospital arterial cannulation is performed? A retrospective non-inferiority study.

BACKGROUND: Invasive blood pressure measurement is the in-hospital gold standard to guide hemodynamic management and consecutively cerebral perfusion pressure in patients with traumatic brain injury (TBI). Its prehospital use is controversial since it may delay further care. The primary aim of this study was to test the hypothesis that patients with severe traumatic brain injury who receive prehospital arterial cannulation, compared to those with in-hospital cannulation, do not have a prolonged time between on-scene arrival and first computed tomography (CT) of the head by more than ten minutes. METHODS: This retrospective study included patients 18 years and older with isolated severe TBI and prehospital induction of emergency anaesthesia who received treatment in the resuscitation room of the University Hospital of Graz between January 1st, 2015, and December 31st, 2022. A Wilcoxon rank-sum test was used to test for non-inferiority (margin = ten minutes) of the time interval between on-scene arrival and first head CT. RESULTS: We included data of 181 patients in the final analysis. Prehospital arterial line insertion was performed in 87 patients (48%). Median (25-75th percentile) durations between on-scene arrival and first head CT were 73 (61-92) min for prehospital arterial cannulation and 75 (60-93) min for arterial cannulation in the resuscitation room. Prehospital arterial line insertion was significantly non-inferior within a margin of ten minutes with a median difference of 1 min (95% CI - 6 to 7, p = 0.003). CONCLUSION: Time-interval between on-scene arrival and first head CT in patients with isolated severe traumatic brain injury who received prehospital arterial cannulation was not prolonged compared to those with in-hospital cannulation. This supports early out-of-hospital arterial cannulation performed by experienced providers.

Group based trajectory modeling identifies distinct patterns of sympathetic hyperactivity following traumatic brain injury.

Background: Paroxysmal Sympathetic Hyperactivity (PSH) occurs with high prevalence among critically ill Traumatic Brain Injury (TBI) patients and is associated with worse outcomes. The PSH-Assessment Measure (PSH-AM) consists of a Clinical Features Scale (CFS) and a Diagnosis Likelihood Tool (DLT), intended to quantify the severity of sympathetically-mediated symptoms and likelihood that they are due to PSH, respectively, on a daily basis. Here, we aim to identify and explore the value of dynamic trends in the evolution of sympathetic hyperactivity following acute TBI using elements of the PSH-AM. Methods: We performed an observational cohort study of 221 acute critically ill TBI patients for whom daily PSH-AM scores were calculated over the first 14 days of hospitalization. A principled group-based trajectory modeling approach using unsupervised K-means clustering was used to identify distinct patterns of CFS evolution within the cohort. We also evaluated the relationships between trajectory group membership and PSH diagnosis, as well as PSH DLT score, hospital discharge GCS, ICU and hospital length of stay, duration of mechanical ventilation, and mortality. Baseline clinical and demographic features predictive of trajectory group membership were analyzed using univariate screening and multivariate multinomial logistic regression. Results: We identified four distinct trajectory groups. Trajectory group membership was significantly associated with clinical outcomes including PSH diagnosis and DLT score, ICU length of stay, and duration of mechanical ventilation. Baseline features independently predictive of trajectory group membership included age and post-resuscitation motor GCS. Conclusions: This study adds to the sparse research characterizing the heterogeneous temporal trends of sympathetic nervous system activation during the acute phase following TBI. This may open avenues for early identification of at-risk patients to receive tailored interventions to limit secondary brain injury associated with autonomic dysfunction and thereby improve TBI patient outcomes.

Progranulin enhances the engraftment of transplanted human iPS cell-derived cerebral neurons.

Cerebral organoids (COs) in cell replacement therapy offer a viable approach to reconstructing neural circuits for individuals suffering from stroke or traumatic brain injuries. Successful transplantation relies on effective engraftment and neurite extension from the grafts. Earlier research has validated the effectiveness of delaying the transplantation procedure by 1 week. Here, we hypothesized that brain tissues 1 week following a traumatic brain injury possess a more favorable environment for cell transplantation when compared to immediately after injury. We performed a transcriptomic comparison to differentiate gene expression between these 2 temporal states. In controlled in vitro conditions, recombinant human progranulin (rhPGRN) bolstered the survival rate of dissociated neurons sourced from human induced pluripotent stem cell-derived COs (hiPSC-COs) under conditions of enhanced oxidative stress. This increase in viability was attributable to a reduction in apoptosis via Akt phosphorylation. In addition, rhPGRN pretreatment before in vivo transplantation experiments augmented the engraftment efficiency of hiPSC-COs considerably and facilitated neurite elongation along the host brain's corticospinal tracts. Subsequent histological assessments at 3 months post-transplantation revealed an elevated presence of graft-derived subcerebral projection neurons-crucial elements for reconstituting neural circuits-in the rhPGRN-treated group. These outcomes highlight the potential of PGRN as a neurotrophic factor suitable for incorporation into hiPSC-CO-based cell therapies.

Not So Transient?: A Narrative Review on Cognitive Impairment After Transient Ischemic Attack.

Transient ischemic attack (TIA) is traditionally viewed as a self-resolving episode of neurological change without persistent impairments and without evidence of acute brain injury on neuroimaging. However, emerging evidence suggests that TIA may be associated with lingering cognitive dysfunction. Cognitive impairment is a prevalent and disabling sequela of ischemic stroke, but the clinical relevance of this phenomenon after TIA is less commonly recognized. We performed a literature search of observational studies of cognitive function after TIA. There is a consistent body of literature suggesting that rates of cognitive impairment following TIA are higher than healthy controls, but the studies included here are limited by heterogeneity in design and analysis methods. We go on to summarize recent literature on proposed pathophysiological mechanisms underlying the development of cognitive impairment following TIA and finally suggest future directions for further research in this field.

Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans.

PURPOSE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) head scans after traumatic brain injury (TBI). MATERIALS AND METHODS: This retrospective study was conducted using a prototype algorithm that evaluated 502 NCCT head scans with ICH in context of TBI. Four board-certified radiologists evaluated in consensus the CT scans to establish the standard of reference for hemorrhage presence and type of ICH. Consequently, all CT scans were independently analyzed by the algorithm and a board-certified radiologist to assess the presence and type of ICH. Additionally, the time to diagnosis was measured for both methods. RESULTS: A total of 405/502 patients presented ICH classified in the following types: intraparenchymal (n = 172); intraventricular (n = 26); subarachnoid (n = 163); subdural (n = 178); and epidural (n = 15). The algorithm showed high diagnostic accuracy (91.24%) for the assessment of ICH with a sensitivity of 90.37% and specificity of 94.85%. To distinguish the different ICH types, the algorithm had a sensitivity of 93.47% and a specificity of 99.79%, with an accuracy of 98.54%. To detect midline shift, the algorithm had a sensitivity of 100%. In terms of processing time, the algorithm was significantly faster compared to the radiologist's time to first diagnosis (15.37 ± 1.85 vs 277 ± 14 s, p < 0.001). CONCLUSION: A novel deep learning algorithm can provide high diagnostic accuracy for the identification and classification of ICH from unenhanced CT scans, combined with short processing times. This has the potential to assist and improve radiologists' ICH assessment in NCCT scans, especially in emergency scenarios, when time efficiency is needed.

Understanding how traumatic brain injury-related changes in fluid biomarkers affect quality of life outcomes in veterans: a prospective observational trial protocol (UNTANGLE).

INTRODUCTION: Traumatic brain injury (TBI) is a major cause of disability, with annual global incidence estimated as 69 million people. Survivors can experience long-term visual changes, altered mental state, neurological deficits and long-term effects that may be associated with mental illness. TBI is prevalent in military personnel due to gunshot wounds, and blast injury. This study aims to evaluate the relationship between evolving visual, biochemical and mental health changes in both military veterans and civilians, suffering from TBI, and detect preliminary indicators of prognosis for TBI recovery, and quality-of-life outcomes. METHODS AND ANALYSIS: UNTANGLE is a 24-month prospective observational pilot study recruiting three patient groups: civilians with acute moderate-severe TBI, military veterans with diagnosis of a previous TBI and a control group of civilians or veterans with no history of a previous TBI. Patients will undergo visual, biochemical and mental health assessments, as well as patient-reported quality of life outcome measures over the course of a 1-year follow-up period. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Health Research Authority and Health and Care Research Wales with a REC reference number of 23/NW/0203. The results of the study will be presented at scientific meetings and published in peer-reviewed journals, including both civilian and military-related publications. We will also present our findings at national and international meetings of learnt neuroscience and neuropsychiatry and military societies. We anticipate that our pilot study will inform a larger study on the long-term outcomes of TBI and quality of life, specific to military veterans, such that potential interventions may be accessed as quickly as possible. TRIAL REGISTRATION NUMBER: ISRCTN13276511.

Comparison and combined use of NEWS2 and GCS scores in predicting mortality in stroke and traumatic brain injury: a multicenter retrospective study.

Objective: This study aims to assess the effectiveness of the National Early Warning Score 2 (NEWS2) versus Glasgow Coma Scale (GCS) in predicting hospital mortality among patients with stroke and traumatic brain injury (TBI). Location: This multicenter study was conducted at two anonymized tertiary care hospitals in distinct climatic regions of China, with a combined annual emergency admission exceeding 10,000 patients. Patients: The study included 2,276 adult emergency admissions diagnosed with stroke (n = 1,088) or TBI (n = 1,188) from January 2021 to December 2023, excluding those with chronic pulmonary disease, severe cardiac conditions, or a history of brain surgery. Measuring and main outcomes: The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were utilized to analyze the predictive accuracy of NEWS2 and GCS for hospital mortality at 24, 48, and 72 h post-admission and at discharge. Results: Out of 2,276 patients (mean age 61.4, 65.6% male), 1855 survived while 421 succumbed. NEWS2 demonstrated superior predictive accuracy (AUC = 0.962) over GCS (AUC = 0.854) for overall hospital mortality. Specifically, NEWS2 outperformed GCS in predicting mortality at 24 h (0.917 vs. 0.843), 48 h (0.893 vs. 0.803), and 72 h (0.902 vs. 0.763). Notably, despite a higher AUC for NEWS2 at predicting 24-h hospital mortality, the sensitivity and specificity of GCS were considerably lower (12 and 31%, respectively) compared to NEWS2 (sensitivity of 95% and specificity of 81%). Subgroup analysis showed NEWS2 outperforming GCS in predicting in-hospital mortality for TBI and stroke patients. For TBI patients (n = 260), NEWS2 had an AUC of 0.960 (95% CI: 0.948-0.973) vs. GCS's AUC of 0.811 (95% CI: 0.781-0.840). For stroke patients (n = 161), NEWS2 had an AUC of 0.930 (95% CI: 0.908-0.952) vs. GCS's AUC of 0.858 (95% CI, 0.823-0.892). NEWS2 showed greater sensitivity in both groups, highlighting its effectiveness in identifying high-risk neurological patients. Conclusion: NEWS2 scores are more precise and effective in predicting hospital mortality in stroke and TBI patients compared to GCS scores, although slightly less so within the first 24 h. Combining NEWS2 with GCS and clinical findings within the initial 24 h is recommended for a comprehensive prognosis evaluation.

Uncovering the hidden effects of repetitive subconcussive head impact exposure: A mega-analytic approach characterizing seasonal brain microstructural changes in contact and collision sports athletes.

Repetitive subconcussive head impacts (RSHI) are believed to induce sub-clinical brain injuries, potentially resulting in cumulative, long-term brain alterations. This study explores patterns of longitudinal brain white matter changes across sports with RSHI-exposure. A systematic literature search identified 22 datasets with longitudinal diffusion magnetic resonance imaging data. Four datasets were centrally pooled to perform uniform quality control and data preprocessing. A total of 131 non-concussed active athletes (American football, rugby, ice hockey; mean age: 20.06 ± 2.06 years) with baseline and post-season data were included. Nonparametric permutation inference (one-sample t tests, one-sided) was applied to analyze the difference maps of multiple diffusion parameters. The analyses revealed widespread lateralized patterns of sports-season-related increases and decreases in mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) across spatially distinct white matter regions. Increases were shown across one MD-cluster (3195 voxels; mean change: 2.34%), one AD-cluster (5740 voxels; mean change: 1.75%), and three RD-clusters (817 total voxels; mean change: 3.11 to 4.70%). Decreases were shown across two MD-clusters (1637 total voxels; mean change: -1.43 to -1.48%), two RD-clusters (1240 total voxels; mean change: -1.92 to -1.93%), and one AD-cluster (724 voxels; mean change: -1.28%). The resulting pattern implies the presence of strain-induced injuries in central and brainstem regions, with comparatively milder physical exercise-induced effects across frontal and superior regions of the left hemisphere, which need further investigation. This article highlights key considerations that need to be addressed in future work to enhance our understanding of the nature of observed white matter changes, improve the comparability of findings across studies, and promote data pooling initiatives to allow more detailed investigations (e.g., exploring sex- and sport-specific effects).

Cognitive communication disorders after brain injury: A systematic COSMIN review of measurement instruments.

BACKGROUND: There is a lack of consensus on standardized measurement instruments (MIs) for the assessment of cognitive communication disorders in individuals with acquired brain injury (ABI). OBJECTIVES: To identify and describe the currently available MIs for the assessment of cognitive communication disorders in individuals with ABI and to evaluate the psychometric properties of MIs. METHODS: A search was conducted in 6 databases on March 12, 2024 using a validated methodological search filter. We included studies that evaluated psychometric properties of MIs used to assess cognitive communication disorders in individuals with ABI. We applied the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) to evaluate the psychometric properties of the MIs. RESULTS: We included 48 records reporting on 44 MIs. Of all MIs, the La Trobe Communication Questionnaire (LCQ) and the St Andrew's-Swansea Neurobehavioural Outcome Scale (SASNOS) were studied most extensively. No MIs had undergone exhaustive methodological evaluation. CONCLUSIONS: Based on the COSMIN, only 1 of 44 MIs can be recommended as its results can be trusted. Most MIs have the potential to be recommended but require further research to assess their psychometric quality. The development of new tools is not necessary but further methodological studies should be conducted on promising tools. This review may help clinicians and researchers to select an MI for the assessment of cognitive communication disorders and may facilitate diagnosis and research. TRIAL REGISTRATION: PROSPERO database (registration number: CRD42020196861). No funding.

"Stay tuned": an exploratory content and thematic analysis of brain injury videos on YouTube.

PURPOSE: This exploratory study aimed to examine brain injury videos on YouTube to determine who posted about brain injury, content categories of videos, and how brain injury was represented. METHODS: A mixed methods approach was used. Brain injury videos on YouTube were collected in November 2022 and analysed quantitatively and qualitatively using descriptive statistics and content analysis. Visual data analysis was used to generate visual descriptions of a representative sample of the videos, and these were thematically analysed alongside the video transcripts. RESULTS: The sample of 100 YouTube videos consisted of educational, lived experience, and promotional videos. Medical organisations and hospitals were the predominant source of videos. An overarching theme of "Video tells a story" was generated from eighteen visual descriptions and transcripts which contained three major themes: (a) we choose how the story is told, (b) recovery is a process, and (c) it changed my life. CONCLUSION: YouTube may have a storytelling role for both people with a brain injury wishing to share their story and for health professionals wishing to communicate information about brain injury. This research may have clinical implications for the integration of YouTube in brain injury rehabilitation and the use of YouTube for health communication.

Existing literature demonstrates that social media platforms, including Twitter (now known as X) and Facebook, are used by people with brain injury, health professionals and the public to share and access content.YouTube is used by medical and educational organisations, health professionals, and people with brain injury to post videos that discuss educational, medical, promotional, and lived experience topics.YouTube has a storytelling role that enables users to share stories about brain injury, including personal experiences posted by people with brain injury. This may be significant as storytelling allows people with brain injury to build connections with others.YouTube is also used by health professionals to share factual information about brain injury. The choices made in videos (e.g., audio-visual content, portrayal of brain injury, language style) impacted the research team's connection with videos.Health professionals should integrate lived experience and the voices of people with brain injury to create authentic videos that resonate with audiences.

Prognostic Value of Dynamic Segmented Neutrophil to Monocyte (SeMo) Ratio Changes in Patients with Moderate to Severe Traumatic Brain Injury.

BACKGROUND: Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in trauma patients, necessitating reliable prognostic tools. The segmented neutrophil-to-monocyte (SeMo) ratio, indicative of the inflammatory response, has emerged as a valuable biomarker. This study evaluates the prognostic value of dynamic changes in the SeMo ratio in predicting outcomes for patients with moderate to severe TBI. METHODS: A retrospective analysis was conducted on data from 1118 TBI patients admitted to the surgical intensive care unit at a level I trauma center between January 2009 and December 2020. Patients were selected based on an Abbreviated Injury Scale (AIS) score ≥ 3 in the head region. Initial and follow-up SeMo ratios were calculated upon admission and 48-72 h later, respectively. The dynamic SeMo ratio was defined as the difference between the second and initial SeMo ratios. Statistical analyses included receiver operating characteristic (ROC) curve analysis to determine the optimal threshold for mortality prediction, and comparative analysis of clinical outcomes. RESULTS: The study cohort included 121 deceased and 997 surviving patients. Deceased patients had significantly higher second SeMo ratios (20.9 ± 16.1 vs. 15.8 ± 17.2, p = 0.001) and dynamic SeMo ratios (2.4 ± 19.8 vs. -2.1 ± 19.5, p = 0.019) than those survival patients. In the multivariate analysis, the dynamic SeMo is a significant independent risk factor for in-hospital mortality (OR 1.01, 95%CI: 1.01-1.03, p = 0.031). The optimal cut-off for the dynamic SeMo ratio was 5.96, above which patients exhibited higher mortality (21.4% vs. 8.5%, p < 0.001), higher adjusted mortality (adjusted odds ratio: 2.98; 95% confidence interval: 1.95-4.56; p = 0.005), and longer hospital stays (23.6 days vs. 19.7 days, p = 0.005). DISCUSSION: Dynamic SeMo ratio changes serve as a prognostic marker for in-hospital mortality and hospital stay duration in moderate to severe TBI patients. A higher dynamic SeMo ratio indicates increased risk, highlighting the importance of early monitoring and intervention. Future prospective studies should validate these findings and explore integration with other biomarkers for enhanced prognostication.