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    Hostile Attribution Bias Shapes Neural Synchrony in the Left Ventromedial Prefrontal Cortex during Ambiguous Social Narratives
    (Society for Neuroscience, 2024-02-28) Lyu, Yizhou; Su, Zishan; Neumann, Dawn; Meidenbauer, Kimberly L.; Leong, Yuan Chang; Physical Medicine and Rehabilitation, School of Medicine
    Hostile attribution bias refers to the tendency to interpret social situations as intentionally hostile. While previous research has focused on its developmental origins and behavioral consequences, the underlying neural mechanisms remain underexplored. Here, we employed functional near-infrared spectroscopy (fNIRS) to investigate the neural correlates of hostile attribution bias. While undergoing fNIRS, male and female participants listened to and provided attribution ratings for 21 hypothetical scenarios where a character's actions resulted in a negative outcome for the listener. Ratings of hostile intentions were averaged to measure hostile attribution bias. Using intersubject representational similarity analysis, we found that participants with similar levels of hostile attribution bias exhibited higher levels of neural synchrony during narrative listening, suggesting shared interpretations of the scenarios. This effect was localized to the left ventromedial prefrontal cortex (VMPFC) and was particularly prominent in scenarios where the character's intentions were highly ambiguous. We then grouped participants into high and low bias groups based on a median split of their hostile attribution bias scores. A similarity-based classifier trained on the neural data classified participants as having high or low bias with 75% accuracy, indicating that the neural time courses during narrative listening was systematically different between the two groups. Furthermore, hostile attribution bias correlated negatively with attributional complexity, a measure of one's tendency to consider multifaceted causes when explaining behavior. Our study sheds light on the neural mechanisms underlying hostile attribution bias and highlights the potential of using fNIRS to develop nonintrusive and cost-effective neural markers of this sociocognitive bias.
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    Incidence and prevalence of coma in the UK and the USA
    (Oxford University Press, 2022-09-01) Kondziella, Daniel; Amiri, Moshgan; Othman, Marwan H.; Beghi, Ettore; Bodien, Yelena G.; Citerio, Giuseppe; Giacino, Joseph T.; Mayer, Stephan A.; Lawson, Thomas N.; Menon, David K.; Rass, Verena; Sharshar, Tarek; Stevens, Robert D.; Tinti, Lorenzo; Vespa, Paul; McNett, Molly; Venkatasubba Rao, Chethan P.; Helbok, Raimund; Curing Coma Campaign Collaborators; Physical Medicine and Rehabilitation, School of Medicine
    The epidemiology of coma is unknown because case ascertainment with traditional methods is difficult. Here, we used crowdsourcing methodology to estimate the incidence and prevalence of coma in the UK and the USA. We recruited UK and US laypeople (aged ≥18 years) who were nationally representative (i.e. matched for age, gender and ethnicity according to census data) of the UK and the USA, respectively, utilizing a crowdsourcing platform. We provided a description of coma and asked survey participants if they-'right now' or 'within the last year'-had a family member in coma. These participants (UK n = 994, USA n = 977) provided data on 30 387 family members (UK n = 14 124, USA n = 16 263). We found more coma cases in the USA (n = 47) than in the UK (n = 20; P = 0.009). We identified one coma case in the UK (0.007%, 95% confidence interval 0.00-0.04%) on the day of the survey and 19 new coma cases (0.13%, 95% confidence interval 0.08-0.21%) within the preceding year, resulting in an annual incidence of 135/100 000 (95% confidence interval 81-210) and a point prevalence of 7 cases per 100 000 population (95% confidence interval 0.18-39.44) in the UK. We identified five cases in the USA (0.031%, 95% confidence interval 0.01-0.07%) on the day of the survey and 42 new cases (0.26%, 95% confidence interval 0.19-0.35%) within the preceding year, resulting in an annual incidence of 258/100 000 (95% confidence interval 186-349) and a point prevalence of 31 cases per 100 000 population (95% confidence interval 9.98-71.73) in the USA. The five most common causes were stroke, medically induced coma, COVID-19, traumatic brain injury and cardiac arrest. To summarize, for the first time, we report incidence and prevalence estimates for coma across diagnosis types and settings in the UK and the USA using crowdsourcing methods. Coma may be more prevalent in the USA than in the UK, which requires further investigation. These data are urgently needed to expand the public health perspective on coma and disorders of consciousness.
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    Acute Inpatient Rehabilitation Functional Outcomes and Disposition After Liver Transplant
    (Elsevier, 2024-03-16) Willoughby, Meghan E.; Ramsey-Morrow, Jacob L.; Littell, Kyle A.; Hammond, Flora M.; Physical Medicine and Rehabilitation, School of Medicine
    Objective: To describe the outcomes (change in functional independence and discharge disposition) of patients who after liver transplantation received acute inpatient rehabilitation in a freestanding rehabilitation hospital. Design: A retrospective chart review was conducted of patients admitted to an acute inpatient rehabilitation hospital within 6 months of undergoing liver transplantation between January 2014 and December 2018. Change in function from rehabilitation admission to discharge was measured using FIM Change and FIM Efficiency. Setting: A freestanding rehabilitation hospital. Participants: 107 patients who underwent acute inpatient rehabilitation at a freestanding rehabilitation hospital within 6 months after liver transplantation who met inclusion criteria (N=107). Most were men (71.96%), and the mean age of the patient population was 62.15 years. Interventions: Acute inpatient rehabilitation consisting of at least 3 hours of therapy 5 days a week split between physical therapy, occupational therapy, and speech language pathology services. Main outcome measure: FIM Change, FIM Efficiency, Discharge Disposition. Results: Participants were found to have statistically significant positive FIM Change (P<.00001) and FIM Efficiency (P<.00001). The mean FIM Change and Efficiency were 35.7±11.8 and 2.4±1.0, respectively. 83.2% (n = 89) were ultimately discharged to the community. Conclusion: Acute inpatient rehabilitation provides patients who have received a liver transplant with the opportunity to measurably improve their function and independence, with most patients being able to return home.
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    Acupuncture use for pain after traumatic brain injury: a NIDILRR Traumatic Brain Injury Model Systems cohort study
    (Taylor & Francis, 2023) Sodders, Mark D.; Martin, Aaron M.; Coker, Jennifer; Hammond, Flora M.; Hoffman, Jeanne M.; Physical Medicine and Rehabilitation, School of Medicine
    Background: Pain after traumatic brain injury (TBI) is common and can become chronic. Acupuncture is an increasingly popular non-pharmacologic option in the United States and is commonly used for pain. Objective: We explored demographics, injury characteristics, and pain characteristics of individuals who reported using acupuncture for chronic pain after TBI. Methods: We analyzed a subset of data collected as part of the Pain After Traumatic Brain Injury collaborative study and identified individuals reporting a history of acupuncture as part of management for chronic pain after TBI. We characterized and compared basic demographic data, pain treatment engagements, pain severity, pain interference, functional independence, and pain locations using descriptive and inferential statistics. Results: Our sample included 1,064 individuals. Acupuncture use (n = 208) was lower proportionally among females, Blacks/African Americans, Asians, less educated, and nonmilitary service members. Insurance type varied between acupuncture and non-acupuncture users. Functional and pain outcomes were similar, but acupuncture users reported a higher number of pain sites. Discussion: Acupuncture is one treatment utilized by individuals with TBI and chronic pain. Further investigation would be helpful to understand the barriers and facilitators of acupuncture use to inform clinical trials to examine the potential benefit of acupuncture on pain outcomes after TBI.
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    Virtual reality as a method of cognitive training of processing speed, working memory, and sustained attention in persons with acquired brain injury: a protocol for a randomized controlled trial
    (Springer Nature, 2024-05-22) Johansen, T.; Matre, M.; Løvstad, M.; Lund, A.; Martinsen, A. C.; Olsen, A.; Becker, F.; Brunborg, C.; Ponsford, J.; Spikman, J.; Neumann, D.; Tornås, S.; Physical Medicine and Rehabilitation, School of Medicine
    Background: Acquired brain injury (ABI) often leads to persisting somatic, cognitive, and social impairments. Cognitive impairments of processing speed, sustained attention, and working memory are frequently reported and may negatively affect activities of daily living and quality of life. Rehabilitation efforts aiming to retrain these cognitive functions have often consisted of computerized training programs. However, few studies have demonstrated effects that transfer beyond the trained tasks. There is a growing optimism regarding the potential usefulness of virtual reality (VR) in cognitive rehabilitation. The research literature is sparse, and existing studies are characterized by considerable methodological weaknesses. There is also a lack of knowledge about the acceptance and tolerability of VR as an intervention method for people with ABI. The present study aims to investigate whether playing a commercially available VR game is effective in training cognitive functions after ABI and to explore if the possible effects transfer into everyday functioning. Methods: One hundred participants (18-65 years), with a verified ABI, impairments of processing speed/attention, and/or working memory, and a minimum of 12 months post injury will be recruited. Participants with severe aphasia, apraxia, visual neglect, epilepsy, and severe mental illness will be excluded. Participants will be randomized into two parallel groups: (1) an intervention group playing a commercial VR game taxing processing speed, working memory, and sustained attention; (2) an active control group receiving psychoeducation regarding compensatory strategies, and general cognitive training tasks such as crossword puzzles or sudoku. The intervention period is 5 weeks. The VR group will be asked to train at home for 30 min 5 days per week. Each participant will be assessed at baseline with neuropsychological tests and questionnaires, after the end of the intervention (5 weeks), and 16 weeks after baseline. After the end of the intervention period, focus group interviews will be conducted with 10 of the participants in the intervention group, in order to investigate acceptance and tolerability of VR as a training method. Discussion: This study will contribute to improve understanding of how VR is tolerated and experienced by the ABI population. If proven effective, the study can contribute to new rehabilitation methods that persons with ABI can utilize in a home setting, after the post-acute rehabilitation has ended.
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    The demographics and traumatic causes of spinal cord injury in Nepal: An observational study
    (Sage, 2021) Willott, Arran; Dhakal, Raju; Groves, Christine; Mytton, Julie; Ellis, Matthew; Physical Medicine and Rehabilitation, School of Medicine
    Introduction: There has been little systematic study of the epidemiology of traumatic spinal cord injury (TSCI) in Nepal, South-East Asia, and low- and middle-income countries (LMICs) in general. One third of the global morbidity and mortality due to injuries is concentrated in South-East Asia. We need to better understand the circumstances leading to TSCI if we are to make progress with prevention. Method: The Spinal Injury Rehabilitation Centre (SIRC) in Nepal systemically collected prospective data describing people with TSCI admitted between September 2015 and August 2016. Descriptive analyses of variables yielded demographic, aetiological and clinical descriptors of this cohort. Cross-tabulations were used to explore the associations between variables. Results: Of 184 admissions over one year, males were admitted to SIRC almost 2.3 times more often than females. Young adults (21–30 years) were the largest age group (34%). The majority of TSCI resulted in paraplegia (67%) and was complete in nearly half (49%). Falls caused the majority of TSCI (69%), and falls from trees were the most common. Road traffic injuries (RTIs) were the second leading cause (29%); the majority involved two- or three-wheeled motorised vehicles and patients were most commonly driving. Conclusion: Falls were the leading cause of TSCI across both genders and all age groups, followed by RTIs, which occurred most often in young adults and men. Injury surveillance and further research would provide a greater understanding of the pattern of TSCI and enable progress in TSCI prevention and rehabilitation.
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    Post-traumatic stress disorder among individuals with traumatic spinal cord injury in Nepal: a cross-sectional study
    (Springer Nature, 2023-04-06) Parajuli, Bikash; Acharya, Khagendra; Grooves, Christine C.; Dhakal, Raju; Shrestha, Jemina; Shrestha, Rahul; Manandhar, Mishu; Physical Medicine and Rehabilitation, School of Medicine
    Study design: Cross-sectional study OBJECTIVES: To identify the prevalence of posttraumatic stress disorder (PTSD) among the individuals with traumatic spinal cord injury (TSCI) and to examine the relationships between demographic and clinical characteristics, and PTSD. Setting: Spinal Injury Rehabilitation Center (SIRC) and Dhulikhel Hospital, Kathmandu University Hospital (DH, KUH), Kavrepalanchowk, Nepal. Methods: Individuals above 18 years of age with TSCI of at least one month from trauma and admitted to SIRC and DH, KUH from June 2019 to May 2021 were included. The specific stress version of the PostTraumatic Stress Disorder Checklist (PCL), was utilized. To classify the neurological status of TSCI individuals, International Standard for Neurological Classification of Spinal Cord Injury (ISNCSCI) was used. Hierarchical multiple regression analysis between independent variables and normalized PCL score was done to evaluate the predictors of PTSD. Results: Among 163 patients, the overall prevalence of PTSD was 27%, and the mean PCL score was 36 ± 13.9. Factors predictive of PTSD included gender, family type, ethnicity, and literacy rate. No significant association was found between the clinical characteristics and PTSD. Conclusions: PTSD appears to be considerably prevalent among individuals with TSCI in Nepal. Females, individuals from nuclear families, individuals with lower literacy, and individuals from lower caste are significantly vulnerable to developing PTSD. However, clinical characteristics do not appear to be influential in the development of PTSD.
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    Risk Factors, Clinical Features, and Outcomes among Stroke Patients Presenting to Spinal Injury Rehabilitation Centre
    (Nepal Health Research Council, 2021) Dhakal, Raju; Khadka, Anjita; Groves, Christine; Physical Medicine and Rehabilitation, School of Medicine
    Background: Worldwide, stroke is the second leading cause of death and disability. The burden of stroke in countries like Nepal is increasing. The purpose of this study is to describe the epidemiology, clinical features, and functional outcomes of individuals with stroke in a rehabilitation hospital in Nepal. Methods: A prospective descriptive study was conducted among individuals with stroke presenting for inpatient rehabilitation to the Nepal’s first interdisciplinary inpatient stroke rehabilitation unit over a one-year period; from 1 April 2018 – 30 March 2019. Results: Twenty-four individuals were enrolled, with average age of 56.8 years (SD 11.9, range 38-79). Seventeen patients (71%) presented with ischemic stroke. Hypertension was the most common modifiable stroke risk factor observed, present in 21 (88%) of individuals. Median rehabilitation length of stay was 32.5 days (IQR 15.3 – 68.8). Median Modified Barthel Index at admission was 25.0 (IQR 8.5-57.0) and at discharge was 67.0 (IQR 46.0-88.0), a statistically significant improvement (Z = -3.408, p = 0.001). Median Modified Rankin Scale on admission was 5.0 (IQR 4.0-5.0) and at discharge was 4.0 (IQR 3.6-4.8; Z = -3.276, p = 0.001). Conclusions: Most individuals with stroke admitted for interdisciplinary stroke rehabilitation demonstrated “severe” levels of disability and dependency on admission, and “moderate” levels of disability and dependency at the time of discharge. Hypertension represents a strategic target for primary and secondary prevention of stroke. With the burden of stroke increasing in Nepal, it is imperative to improve long-term availability and access to comprehensive stroke care for all affected individuals.
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    Using Machine Learning to Examine Suicidal Ideation After TBI: A TBI Model Systems National Database Study
    (Wolters Kluwer, 2023) Fisher, Lauren B.; Curtiss, Joshua E.; Klyce, Daniel W.; Perrin, Paul B.; Juengst, Shannon B.; Gary, Kelli W.; Niemeier, Janet P.; McConnell Hammond, Flora; Bergquist, Thomas F.; Wagner, Amy K.; Rabinowitz, Amanda R.; Giacino, Joseph T.; Zafonte, Ross D.; Physical Medicine and Rehabilitation, School of Medicine
    Objective: The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury. Design: This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included. Results: A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance. Conclusions: Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury.
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    Early Factors Predictive of Extreme High and Low Life Satisfaction 10 Years Post-Moderate to Severe Traumatic Brain Injury
    (Wolters Kluwer, 2023) O’Neil-Pirozzi, Therese M.; Sevigny, Mitch; Pinto, Shanti M.; Hammond, Flora M.; Juengst, Shannon B.; Physical Medicine and Rehabilitation, School of Medicine
    Objective: To identify demographic, injury-related, and 1-year postinjury clinical and functional predictors of high and low life satisfaction at 10 years after moderate to severe traumatic brain injury (TBI) using an extreme phenotyping approach. Setting: Multicenter longitudinal database study. Participants: A total of 3040 people from the National Institute on Disability, Independent Living, and Rehabilitation Research TBI Model Systems database with life satisfaction data at 10 years post-TBI. Design: Multicenter, cross-sectional, observational design. Main measures: Satisfaction With Life Scale (outcome), Glasgow Coma Scale, Disability Rating Scale, Functional Independence Measure, Participation Assessment with Recombined Tools-Objective, Patient Health Questionnaire-9, and General Anxiety Disorder-7 (standardized predictors). Results: Greater cognitive and motor independence, more frequent community participation, and less depressive symptoms 1 year post-moderate to severe TBI predicted extreme high life satisfaction 10 years later. Non-Hispanic White and Hispanic individuals were significantly more likely than Black individuals to have extreme high life satisfaction 10 years post-TBI. Conclusions: Extreme phenotyping analysis complements existing knowledge regarding life satisfaction post-moderate to severe TBI. From a chronic disease management perspective, future studies are needed to examine the feasibility and impact of early postinjury medical and rehabilitative interventions targeting cognitive and motor function, community participation, and mood on the maintenance/enhancement of long-term life satisfaction post-TBI.