BACKGROUND: Over 3000 infants suffer a brain injury around the time of birth every year in England. Although these injuries can have important implications for children and their families, our understanding of how these injuries affect children\'s lives is limited.
METHODS: The aim of the CHERuB study (Childhood Health and Educational outcomes afteR perinatal Brain injury) is to investigate longitudinal childhood health and educational outcomes after perinatal brain injury through the creation of a population-matched cohort study. This study will use the Department of Health and Social Care definition of perinatal brain injury which includes infants with intracranial haemorrhage, preterm white matter injury, hypoxic ischaemic encephalopathy, perinatal stroke, central nervous system infections, seizures and kernicterus. All children born with a perinatal brain injury in England between 2008 and 2019 will be included (n=54 176) and two matched comparator groups of infants without brain injury will be created: a preterm control group identified from the National Neonatal Research Data Set and a term/late preterm control group identified using birth records. The national health, education and social care records of these infants will be linked to ascertain their longitudinal childhood outcomes between 2008 and 2023. This cohort will include approximately 170 000 children. The associations between perinatal brain injuries and survival without neurosensory impairment, neurodevelopmental impairments, chronic health conditions and mental health conditions throughout childhood will be examined using regression methods and time-to-event analyses.
BACKGROUND: This study has West London Research Ethics Committee and Confidential Advisory Group approval (20/LO/1023 and 22/CAG/0068 issued 20/10/2022). Findings will be published in open-access journals and publicised via the CHERuB study website, social media accounts and our charity partners.

BACKGROUND: Traumatic brain injury (TBI) and spinal cord injury (SCI) are both major contributors to permanent disability globally, with an estimated 27 million new cases of TBI and 0.93 million new cases of SCI globally in 2016. In Australia, the National Disability Insurance Scheme (NDIS) provides support to people with disability. Reports from the NDIS suggest that the cost of support for people with TBI and SCI has been increasing dramatically, and there is a lack of independent analysis of the drivers of these increases. This data linkage seeks to better understand the participant transition between rehabilitation hospitals and the NDIS and the correlation between functional independence in rehabilitation and resource allocation in the NDIS.
METHODS: This is a retrospective, population-based cohort study using Australia-wide NDIS participant data and rehabilitation hospital episode data. The linked dataset provides a comparison of functional independence against which to compare the NDIS resource allocation to people with TBI and SCI. This protocol outlines the secure and separated data linkage approach employed in linking partially identified episode data from the Australasian Rehabilitation Outcomes Centre (AROC) with identified participant data from the NDIS. The linkage employs a stepwise deterministic linkage approach. Statistical analysis of the linked dataset will consider the relationship between the functional independence measure score from the rehabilitation hospital and the committed funding supports in the NDIS plan. This protocol sets the foundation for an ongoing data linkage between rehabilitation hospitals and the NDIS to assist transition to the NDIS.
BACKGROUND: Ethics approval is from the Macquarie University Human Research Ethics Committee. AROC Data Governance Committee and NDIS Data Management Committee have approved this project. Research findings will be disseminated to key stakeholders through peer-reviewed publications in scientific journals and presentations to clinical and policy audiences via AROC and NDIS.

BACKGROUND: 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: 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.
BACKGROUND: 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.
BACKGROUND: ISRCTN13276511.

OBJECTIVE: Decompressive craniectomy is occasionally performed as a life-saving neurosurgical intervention in patients with acute severe brain injury to reduce refractory intracranial hypertension. Subsequently, cranioplasty (CP) is performed to repair the skull defect. In the meantime, patients are living without cranial bone protection, and little is known about their daily life. This study accordingly explored daily life among patients living without cranial bone protection after decompressive craniectomy while awaiting CP.
METHODS: A multiple-case study examined six purposively sampled patients, patients\' family members, and healthcare staff. The participants were interviewed and the data were analyzed using qualitative content analysis.
RESULTS: The cross-case analysis identified five categories: \"Adapting to new ways of living,\" \"Constant awareness of the absence of cranial bone protection,\" \"Managing daily life requires available staff with adequate qualifications,\" \"Impact of daily life depends on the degree of recovery,\" and \"Daily life stuck in limbo while awaiting cranioplasty.\" The patients living without cranial bone protection coped with daily life by developing new habits and routines, but the absence of cranial bone protection also entailed inconveniences and limitations, particularly among the patients with greater independence in their everyday living. Time spent awaiting CP was experienced as being in limbo, and uncertainty regarding planning was perceived as frustrating.
CONCLUSIONS: The results indicate a vulnerable group of patients with brain damage and communication impairments struggling to find new routines during a waiting period experienced as being in limbo. Making this period safe and reducing some problems in daily life for those living without cranial bone protection calls for a person-centered approach to care involving providing contact information for the correct healthcare institution and individually planned scheduling for CP.

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OBJECTIVE: For critically ill patients with acute severe brain injuries, consciousness may reemerge before behavioral responsiveness. The phenomenon of covert consciousness (i.e., cognitive motor dissociation) may be detected by advanced neurotechnologies such as task-based functional MRI (fMRI) and electroencephalography (EEG) in patients who appear unresponsive on the bedside behavioral examination. In this narrative review, we summarize the state-of-the-science in ICU detection of covert consciousness. Further, we consider the prognostic and therapeutic implications of diagnosing covert consciousness in the ICU, as well as its potential to inform discussions about continuation of life-sustaining therapy for patients with severe brain injuries.
METHODS: We reviewed salient medical literature regarding covert consciousness.
METHODS: We included clinical studies investigating the diagnostic performance characteristics and prognostic utility of advanced neurotechnologies such as task-based fMRI and EEG. We focus on clinical guidelines, professional society scientific statements, and neuroethical analyses pertaining to the implementation of advanced neurotechnologies in the ICU to detect covert consciousness.
METHODS: We extracted study results, guideline recommendations, and society scientific statement recommendations regarding the diagnostic, prognostic, and therapeutic relevance of covert consciousness to the clinical care of ICU patients with severe brain injuries.
CONCLUSIONS: Emerging evidence indicates that covert consciousness is present in approximately 15-20% of ICU patients who appear unresponsive on behavioral examination. Covert consciousness may be detected in patients with traumatic and nontraumatic brain injuries, including patients whose behavioral examination suggests a comatose state. The presence of covert consciousness in the ICU may predict the pace and extent of long-term functional recovery. Professional society guidelines now recommend assessment of covert consciousness using task-based fMRI and EEG. However, the clinical criteria for patient selection for such investigations are uncertain and global access to advanced neurotechnologies is limited.

BACKGROUND: Patients with brain injury who are unresponsive to commands may perform cognitive tasks that are detected on functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This phenomenon, known as cognitive motor dissociation, has not been systematically studied in a large cohort of persons with disorders of consciousness.
METHODS: In this prospective cohort study conducted at six international centers, we collected clinical, behavioral, and task-based fMRI and EEG data from a convenience sample of 353 adults with disorders of consciousness. We assessed the response to commands on task-based fMRI or EEG in participants without an observable response to verbal commands (i.e., those with a behavioral diagnosis of coma, vegetative state, or minimally conscious state-minus) and in participants with an observable response to verbal commands. The presence or absence of an observable response to commands was assessed with the use of the Coma Recovery Scale-Revised (CRS-R).
RESULTS: Data from fMRI only or EEG only were available for 65% of the participants, and data from both fMRI and EEG were available for 35%. The median age of the participants was 37.9 years, the median time between brain injury and assessment with the CRS-R was 7.9 months (25% of the participants were assessed with the CRS-R within 28 days after injury), and brain trauma was an etiologic factor in 50%. We detected cognitive motor dissociation in 60 of the 241 participants (25%) without an observable response to commands, of whom 11 had been assessed with the use of fMRI only, 13 with the use of EEG only, and 36 with the use of both techniques. Cognitive motor dissociation was associated with younger age, longer time since injury, and brain trauma as an etiologic factor. In contrast, responses on task-based fMRI or EEG occurred in 43 of 112 participants (38%) with an observable response to verbal commands.
CONCLUSIONS: Approximately one in four participants without an observable response to commands performed a cognitive task on fMRI or EEG as compared with one in three participants with an observable response to commands. (Funded by the James S. McDonnell Foundation and others.).

OBJECTIVE: Care partners\' involvement is a key feature of the Cognitive Orientation to daily Occupational Performance (CO-OP) approach that can enhance rehabilitation outcomes and promote the generalization and transfer of strategies and skills to everyday life. Gaining insight into care partners\' experience with their child\'s CO-OP intervention is critical to understanding how to enhance care partners\' involvement.
OBJECTIVE: To gain insight into the experience of care partners whose child with acquired brain injury (ABI) participated in CO-OP intervention.
METHODS: A qualitative descriptive research design was used. Semistructured interviews were conducted at three time points (immediate postintervention and at 2 and 6 mo postintervention).
METHODS: Two rehabilitation centers.
METHODS: Thirteen care partners of 12 children or youth with severe ABI.
RESULTS: Three themes emerged from the analysis of 33 interviews: (1) The child is an active agent in their therapy, (2) the care partner is the keystone who helps solidify the elements of CO-OP, and (3) CO-OP mastery requires time and practice, and its use evolves over time.
CONCLUSIONS: These themes highlight the progressive nature of proficiency in CO-OP for both care partners and children. This was evident not only in the children\'s improvement in task performance, but also in their ability to problem solve. Care partners\' role in supporting the CO-OP approach also unfolds over time as their confidence in their child\'s problem-solving abilities, and in their own ability to adequately provide guidance, increases. Engagement seems to be central in facilitating this progression for both children and their care partners. Plain-Language Summary: This is the first study to provide insights into the involvement of care partners in the Cognitive Orientation to daily Occupational Performance (CO-OP) approach for children and youth with executive function deficits after acquired brain injury. This is also the first study to explore the evolution of care partners\' experiences over time. Involving care partners is a key feature of the CO-OP. Understanding care partners\' experiences with their child\'s CO-OP intervention can improve a child\'s rehabilitation outcomes. The study found that care partners\' role in supporting their child\'s CO-OP approach improved over time as their confidence in their child\'s problem-solving abilities increased. The care partners\' own ability to adequately provide guidance to their child also increased over time. Engagement seems to be central in facilitating this progression for both children and their care partners. It is hoped that occupational therapists will consider the findings of this study to better support care partners in implementing the CO-OP approach with their child in their real-life context.

OBJECTIVE: 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).
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).
CONCLUSIONS: 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.

UNASSIGNED: The findings regarding the prognosis of prolonged disorders of consciousness (PDOC) vary widely among different studies. This study aims to investigate the mortality, consciousness recovery and disabilities of patients with PDOC after brain injury.
UNASSIGNED: A total of 204 patients with PDOC were included in a longitudinal cohort study, including 129 males and 75 females. There were 112 cases of traumatic brain injury (TBI), 62 cases of cerebral hemorrhage (CH), 13 cases of cerebral infarction (CI) and 17 cases of ischemic hypoxic encephalopathy (IHE). The status of consciousness at 1, 2, 3, 6, 12, 18, 24, 36, 48 months of the disease course was assessed or followed up using the Revised Coma Recovery Scale (CRS-R). If the patients were conscious, the disability Rating Scale (DRS) was also performed. The prognosis of different PDOC including coma, vegetative state (VS) and minimal conscious state (MCS) was analyzed. The survival patients were screened for variables and included in multivariate binary Logistic regression to screen the factors affecting the recovery of consciousness.
UNASSIGNED: The mortality rates at 12, 24, 36, and 48 months were 10.7, 23.4, 38.9, and 68.4%, respectively. The median time of death was 18 months (8.75, 29). The probability of MCS regaining consciousness was higher than VS (p < 0.05), with the degree of disability left lower than VS (p < 0.05). There was no significant difference between MCS- and MCS+ groups in terms of the probability of regaining consciousness, the extent of residual disability, and mortality rates (p > 0.05). The mortality rate of coma was higher than that of other PDOC (p < 0.05). The mortality rate of MCS was lower than that of VS, but the difference was not statistically significant (p > 0.05). The probability of consciousness recovery after TBI was the highest and the mortality rate was the lowest. The possibility of consciousness recovery in IHE was the least, and the mortality rate of CI was the highest. The cause of brain injury and initial CRS-R score were the factors affecting the consciousness recovery of patients (p < 0.05).
UNASSIGNED: The prognosis of MCS is more favorable than VS, with comparable outcomes between MCS- and MCS+, while comatose patients was the poorest. TBI has the best prognosis and IHE has the worst prognosis.