Ecological momentary assessment (EMA) involves repeated collection of real-time self-report data, often multiple times per day, nearly always delivered electronically by smartphone. While EMA has shown promise for researching internal states, behaviors, and experiences in multiple populations, concerns remain regarding its feasibility in samples with cognitive impairments, like those associated with chronic moderate-to-severe traumatic brain injury (TBI).

This study examines adherence to a 7-week high-frequency (5x daily) EMA protocol in individuals with moderate-to-severe TBI, considering changes in response rate over time, as well as individual participant characteristics (memory function, education, injury severity, and age).

In the sample of 39 participants, the average overall response rate was 65% (range: 5%–100%). Linear mixed-effects modeling revealed a small but statistically significant linear decay in response rate over 7 weeks of participation. Individual trajectories were variable, as evidenced by the significant effect of random slope. A better response rate was positively associated with greater educational attainment and better episodic memory function (statistical trend), whereas the effects of age and injury severity were not significant.

These findings shed light on the potential of EMA in TBI studies but underscore the need for tailored strategies to address individual barriers to adherence.

Modern perspectives of rehabilitation after traumatic brain injury (TBI) emphasize the importance of individualized holistic approaches (i.e., physical and psychological adjustment) and collaboration toward goals (e.g., among the survivor, rehabilitation professionals, family/friends, etc.). Recent research has sought to employ a holistic, value-based approach (via the Valued Living Questionnaire) to measuring goals and whether those with TBI are acting in accordance with them, and quality of life outcomes. However, no research has examined whether rehabilitation practices are consistent with survivor values using this framework. The aim of the current study was to investigate the impact of value-consistent rehabilitation practices on quality of life and psychological adjustment outcomes in those with TBI.

The current study included a sample of 73 adults with a history of TBI (M years since injury = 7.6, SD = 9.7) between the ages of 18 and 72 (Mage = 44.0 years, SD = 13.1; 73% female, 90.4% white) who had participated in outpatient rehabilitation. Individuals were recruited from brain injury support groups on Facebook and completed a series of surveys measuring TBI severity [Ohio State University Traumatic Brain Injury Identification Method-Short Form (OSU-TBI-ID)], value-consistent rehabilitation practices [modified Valued Living Questionnaire (VLQ)], life satisfaction [Life Satisfaction Questionnaire-9 (LiSat-9)], and psychological flexibility [Acceptance & Action Questionnaire - Acquired Brain Injury (AAQ-ABI)]. Discrepancy scores were calculated to compare perceived importance of and how helpful rehabilitation was for each VLQ domain. Bivariate Pearson correlations were conducted to investigate the relationships between value-consistent rehabilitation, life satisfaction, and psychological flexibility.

The VLQ domains with the greatest discrepancies were spirituality (-2.26), marriage/intimate relations (-2.06), and family relations (-2.02) such that rehabilitation helped less in these domains despite their importance. Greater levels of value-consistent rehabilitation were related to higher levels of life satisfaction overall (r = 0.40, p < 0.001) and lower levels of reactive avoidance of emotions related to one’s brain injury (r = -0.26, p = 0.03). In terms of specific domains of life satisfaction, greater value-consistent rehabilitation was related to higher levels of vocational (r= 0.44, p < .001), physical self-care (r = 0.28, p = 0.018), and friendship satisfaction (r= 0.41, p < .001).

Our findings suggest rehabilitation practices may not be acting proportionately with TBI survivor values. Moreover, our results suggest value-consistent rehabilitation is important for long term quality of life and psychological adjustment outcomes. Future work should seek to identify factors that optimize opportunity for individualized treatment.

Determine how characteristics of deployment mild traumatic brain injury (TBI) and blast exposure influence the relationship between the functional brain connectome with cognitive outcomes and symptom severity.

N = 181 Iraq and Afghanistan combat veterans completed structured clinical interviews, cognitive testing, self-report questionnaires, and magnetoencephalography (MEG). MEG data were acquired in the resting-state with eyes open. MEG data were beamformed to identify brain regions active at rest. Functional brain connectomes representing the unique network present for a given individual were created using active brain regions identified for each participant. Network metrics describing these connectomes were calculated at the participant level. Cognitive tests included the WAIS-IV, Trail Making Test Parts A&B, and the Controlled Oral Word Association test. Due to differences in normative data across tests, raw scores were used in analyses. Symptom measures included the PTSD Checklist - 5 (PCL-5), Patient Health Questionnaire (PHQ-9), Neurobehavioral Symptoms Inventory (NSI), Quality of Life After Brain Injury (QOLIBRI), Pittsburgh Sleep Quality Index (PsQi), the Distress Tolerance Scale (DTS), and the PROMIS Pain Interference Scale (PROMIS-PI).

Hierarchical linear regression analyses revealed that several network metrics were significantly related to both cognitive outcomes and symptom severity after adjusting for demographic covariates and clinical characteristics.

The relationship between Global Efficiency (GE) and cognitive outcomes was moderated by deployment TBI on the WAIS-IV Full Scale Index (FSI), Perceptual Reasoning Index (PRI), and General Ability Index (GAI). In all cases, when deployment TBI was absent, greater GE was associated with poorer cognitive scores. The relationship between GE and symptom severity was moderated by the severity of blast exposure. Greater GE was associated with lower symptom severity at lower blast severities for the PHQ-9 and QOLIBRI A (thinking) and E (negative emotions). Moderation effects were also observed for the PSQI. In the absence of deployment TBI, greater GE was associated with better sleep quality; however, in the presence of deployment TBI, greater GE was associated with poorer sleep quality. Other connectome-outcome relationships were not consistently moderated by Deployment TBI or blast history

Results demonstrated relationships between several aspects the functional connectome of the brain with both cognitive outcomes and symptom severity beyond effects of common demographic and clinical variables. Moderation analyses revealed that the relationship between GE of the connectome and outcomes is frequently disrupted by deployment TBI and blast. GE is a measure of the ease of information transfer through the network. These results identified consistent relationships between GE and outcomes in the absence of deployment TBI or blast, but these relationships disappear when deployment TBI or blast are present. Participants in this study were on average 11 years post-TBI or blast exposure, suggesting these are chronic rather than acute effects. GE was significantly correlated with most symptom severity measures as well as the WAIS-IV PRI, GAI, VCI, and FSI. Future efforts to normalize the relationship between GE and outcomes following TBI may improve rehabilitation outcomes and directly affect areas of concern commonly reported by service members following TBI or blast exposure.

History of traumatic brain injury (TBI) is associated with increased risk of dementia, but few studies have evaluated whether TBI history alters the course of neurocognitive decline, and existing literature on this topic is limited to short follow-up and smaller samples. The primary aim of this study was to evaluate whether a history of TBI (TBI+) influences neurocognitive decline later-in-life among older adults with or without cognitive impairment [i.e., normally aging, Mild Cognitive Impairment (MCI), or dementia].

Participants included individuals from the National Alzheimer’s Coordinating Center (NACC) who were at least 50 years old and with 3 to 6 visits (M number of visits = 4.43). Participants with any self-reported history of TBI (n = 1,467) were matched 1:1 to individuals with no reported history of TBI (TBI-) from a sample of approximately 45,000 participants using case-control matching based on age (+/- 2 years), sex, education, race, ethnicity, cognitive diagnosis [cognitively normal (CN), MCI, or all-cause dementia], etiology of cognitive impairment, functional decline (Clinical Dementia Rating Scale, CDR), number of Apolipoprotein E4 (APOE ε4) alleles, and number of annual visits (3 to 6). Mixed linear models were used to assess longitudinal neuropsychological test composites (using NACC normative data) of executive functioning/attention/speed (EFAS), language, and memory in TBI+ and TBI- participants. Interactions between TBI and demographics, APOE ε4 status, and cognitive diagnosis were also examined.

Following matching procedures, TBI+ (n=1467) and TBI- (n=1467) groups were nearly identical in age (TBI+ M = 71.59, SD = 8.49; TBI- M = 71.63, SD = 8.44), education (TBI+ M = 16.12, SD = 2.59; TBI- M = 16.10, SD = 2.52), sex (both 55% male), race (both 90% White), ethnicity (both 98% non-Hispanic), APOE ε4 alleles (both 0 = 62%, 1 = 33%, 2 = 5%), baseline cognitive diagnoses (both CN = 60%, MCI = 18%, dementia = 12%), and global CDR (TBI+ M = 0.30, SD = 0.38, TBI- M = 0.30, SD = 0.38). At baseline, groups had similar Z-scores of in EFAS (TBI+ Mefas = -0.02, SD = 1.21; TBI- Mefas = -0.04, SD = 1.27), language (TBI+ MLanguage = -0.48, SD = 0.98; TBI- MLanguage = -0.55, SD = 1.05), and memory (TBI+ MMemory = -0.45, SD = 1.28; TBI- MMemory = -0.45, SD =1.28). The course of change in neuropsychological functioning worsened longitudinally, but did not differ between TBI groups (p’s > .110). There were no significant interactions between TBI history and age, sex, education, race/ethnicity, number of APOE ε4 status, or cognitive diagnosis (all p’s > .027).

In this matched case-control design, our findings suggest that a history of TBI, regardless of demographic factors, APOE ε4 status, and cognitive diagnosis, does not significantly alter the course of neurocognitive functioning later-in-life in older adults with and without cognitive impairment. Future clinicopathological longitudinal studies with well characterized TBI histories and the associated clinical course are needed to help clarify the mechanism by which TBI may increase dementia risk for some individuals, without affecting course of decline.

An acquired brain injury (ABI) is a neurological pathology that generates a physical injury in the brain. These include cerebrovascular accidents (CVA) and traumatic brain injuries (TBI). Brain injuries can cause cognitive, emotional, and social problems, which have the potential to severely alter a person’s independence and quality of life. Loneliness, thesubjective experience of social isolation, has been shown to be the best predictor of mental health problems and poorquality of life in patients with ABI. This study aimed to explore the relationship between cognitive, emotional, and social determinants and loneliness in Puerto Ricans with ABI in the chronic phase.

Cross-sectional, exploratory, and correlational methods were implemented. Assessments included the Frontal Systems Behavioral Scale - Spanish version (FrSBe-SP), Perth Emotional Reactivity Scale -Spanish version (PERS), Anticipated Stigma and Concealment (ASC), and the University of California Los Angeles - Loneliness Scale (UCLA-LS).

A total of seventeen participated (n=17). Twenty-nine percent of participants were female. Forty-seven percent had history of previous CVA and fifty-two percent had history of TBI. Correlational analyses suggest a positive and significant relationship between executive dysfunction (FrSBe-SP) and feelings of loneliness (UCLA-LS) (p=.601), as well as a positive and significant relationship between neuroticism-negative emotional reactivity (PERS) and feelings of loneliness (UCLA-LS) (p=.736). Correlational analysis suggests there is no significant relationship between anticipated stigma (ASC) and feelings of loneliness (UCLA-LS) (p=.282).

Our findings suggest that there is a significant relationship between cognitive determinants (executive functions) and emotional determinants (neuroticism) with feelings of loneliness in people with a history of ABI. These results support the connection between executive dysfunction, the tendency to experience negative emotions, and the subjective experience of loneliness, consistent with previous studies. However, our study did not find any significant relationship between interactional determinants, such as stigma and concealment, and loneliness. Understanding the role of cognition, emotions, and social variables in reported feelings of loneliness is important for clinical neuropsychological assessment and rehabilitation interventions.

To investigate the informative value of nightmares on neurobehavioral functioning in individuals with mild traumatic brain injury (mTBI) beyond general sleep disturbance.

A sample of 146 adults with mTBI (mean age = 45.1±16.0), recruited from a specialized concussion treatment center, underwent an assessment of neurobehavioral functioning using the Behavioral Assessment Screening Tool (BAST), self-reported habitual sleep disturbance and quality (via the Pittsburgh Sleep Quality Index; PSQI), and reported nightmare frequency in the past two weeks.

Nightmare frequency was the strongest predictor of negative affect (ß = .362, p <.001), anxiety (ß = .332, p <.001), and impulsivity (ß = .270, p <.001) after controlling for sex and age. Sleep disturbance accounted for the greatest variance in depression (ß = .493, p <.001), burden from concussion (ß = .477, p <.001), and fatigue (ß = .449, p <.001) after controlling for sex and age.

Nightmares independently associate with neurobehavioral symptoms and likely have differential etiology from reported sleep disturbance. Nightmare frequency was more strongly related to positive neurobehavioral symptoms (i.e., added factors that impact functioning, e.g., anxiety), while general sleep disturbance was associated with negative neurobehavioral symptoms (i.e., factors taken away that impact functioning, e.g., lack of energy). Our findings suggest that neuropsychological evaluations of individuals with mTBI should assess for sleep disturbance and nightmare frequency as risk factors for neurobehavioral barriers to functioning.

Inflicted traumatic brain injury (TBI) is one of the leading causes of childhood injury and death. Studies have consistently demonstrated worse outcomes for children with inflicted TBIs compared to accidental TBIs. Out of home placement, a known developmental risk factor, is a frequent occurrence in inflicted TBI, which may also contribute to worse outcomes for children. Little is known about what injury, child, and family factors predict out-of-home versus in-home placements. We hypothesize that injury severity, child, and family risk factors will be predictive of out-of-home placement after hospital discharge from an inflicted TBI.

Participants included 175 children with inflicted head injuries ages who received care at a large children’s hospital from 2012 to 2021. 88% of children were alive at discharge and were included in the study. The total sample included 154 children. Ages ranged from 0.2 to 76 months (M = 11.81, SD = 14.50) and 64.9 % were male. Race/Ethnicity distribution was as follows: 66.9% White, 29.9% Latinx or Hispanic, 4.6% Black, 3.3% American Indian or Alaskan, and 22.5% identified another race or ethnicity or identified as multiracial. Measures included injury severity (e.g., days spent in the PICU, post-resuscitation GCS), child (e.g., race/ethnicity, gender), and family factors (e.g., prior history of domestic violence, type of insurance). Individual logistic regressions were run to assess the effect of each injury severity, child, and family factor on placement after hospital discharge.

Results indicated that having a caregiver with a history of mental health difficulties and/or a history of substance abuse increased the likelihood of an out-of-home placement for the child after an inflicted TBI. Results also demonstrated that the more caregiver psychosocial concerns reported, the higher the risk of an out-of-home placement for the child after discharge from the hospital. Finally, results indicated that having public insurance significantly increased the risk of an out-of-home placement for the child after discharge from the hospital. Post-hoc analyses were conducted to assess the effect of insurance type on out-of-home placement, while controlling for psychosocial concerns. Results indicated that, even when taking total psychosocial concerns into account, having public insurance significantly increased the risk of an out-of-home placement. Logistic regressions were carried out to assess the effect of injury severity, child, and every other family factor (e.g., prior criminal history) on placement after hospital discharge and the overall models were not significant.

One explanation for these findings is that families with public insurance have less of a social safety net and, thus, are unable to meet the needs of a child with an inflicted TBI. However, we cannot rule out the effect of bias in child welfare practices. Similarly, caregivers with histories of mental health difficulties and substance abuse are likely to have a harder time meeting their child’s needs and providing a stable household, increasing the likelihood of an out-of-home placement. Despite expectations, child and injury severity factors did not play a role in placement decisions after an inflicted TBI, indicating that placement decisions rely more heavily on caregivers’ abilities to meet the child’s needs rather than the child’s medical complexity or the severity of the inflicted TBI.

The Coma Recovery Scale-Revised (CRS-R) is the gold standard assessment of adults with disorders of consciousness (DoC); however few studies have examined the psychometric properties of the CRS-R in pediatric populations. This study aimed to demonstrate preliminary intra-rater and inter-rater reliability of the CRS-R in children with acquired brain injury (ABI).

Participants included 3 individuals (ages 10, 15, and 17 years) previously admitted to an inpatient pediatric neurorehabilitation unit with DoC after ABI who were followed in an outpatient brain injury clinic due to ongoing severe disability. ABI etiology included traumatic brain injury (TBI; n=2) and encephalitis (n=1). Study participation took place on average 4.6 years after injury (range 2-9). The Glasgow Outcome Scale-Extended, Pediatric Version (GOS-E Peds), a measure of outcome after pediatric brain injury, was administered as part of screening. Two participants were placed in the GOS-E Peds “lower severe disability” category (i.e., score of 6) and one was placed in the “upper severe disability” category (i.e., score of 5). The CRS-R includes 6 subscales measuring responsivity including Auditory (range 0-4), Visual (range 05), Motor (range 0-6), Oromotor/Verbal (range 03), Communication (range 0-2), and Arousal (range 0-3) with higher scores indicating higherlevel function. Subscales are totaled for a CRS-R Total score. Behaviors shown during the CRS-R are used to determine state of DoC [Vegetative State (VS), Minimally Conscious State (MCS) or emergence from a minimally conscious state (eMCS)] based on 2002 Aspen Guidelines. Participants were administered the CRS-R three consecutive times on the same day. Administrations were completed by two raters in this order: Rater 1 (1A), Rater 1 (1B) and Rater 2. Intra-rater reliability was deemed by percent agreement across the 6 subscales between Rater 1A and 1B. Inter-rater reliability was deemed by percent agreement across the 6 subscales between 1A and 2.

Mean CRS-R Total score for Rater 1A was 22 (SD=1.73, range 20-23), Rater 1B was 22 (SD=1.73, range 20-23), and Rater 2 was 21.33 (SD=2.08, range 19-23). Intra-rater reliability was 100% and inter-rater reliability was 94% across all subscales. All participants were deemed eMCS at all 3 ratings.

Data from this very small sample of children suggests that the CRS-R demonstrates both intra-rater and inter-rater reliability in patients with a history of DoC after ABI. Given that all children were at the high end of the scale (eMCS), further research is needed with a larger sample of children with a range of states of DoC.

To investigate differences of the perceived unmet needs in a post-acute brain injury sample when referred to Resource Facilitation (RF) among various race/ethnic groups.

The methodology utilizied within this study consisted of a retrospective chart review, which was sourced from a clinical database serving chronic outpatients in the Midwest region. The main outcome measure was the Service of Unmet Needs & Service Use (SUNSU). The sample consisted of N = 455 subjects, which included a small sample size of Hispanics (N=7). Therefore, African American and Hispanic groups were combined for a total minority sample (N=84). Clinical disorders included within the study was an ABI from either stroke, anoxic injury, ruptured aneurysm, or tumor resection surgery. Eligibility criteria included participants’ admission into a RF program, a vocational goal, and a diagnosis of a moderate to severe TBI or other ABI. Lastly, key sociodemographic features included age, race, ethnicity, education, and sex.

Significant differences were found between ethnic groups (white non-Hispanics and minority group) in terms of years of education (p=<.01). White non-Hispanics had higher education (M=13.39, SD=2.23), reported significantly more rural addresses (40.2%, p=<.01), and had private insurance coverage more frequently than the minority group (33.7%, p=<.01). The full model was statistically significant, R2=.077 = F(4,450) = 9.387, p<.0001; adjusted R2 = .069. The addition of ethnicity led to a statistically significant increase in R2 of .019, F(1,450) =9.025, p<.0005.

Ethnicity was found to be a predictive factor for greater unmet needs even after controlling for insurance, employment status, and urbanicity. It is currently unknown RF’s success rate in providing culturally competent services to different racial/ethnic groups, which consider factors such as primary language spoken, immigration status, and additional ethnocultural factors that could deter accurate reporting of unmet needs by minoritized groups. Future studies should investigate barriers in referring and meeting eligibility for this program and analyze post-treatment data to determine if the impact of racial, geographic, and insurance disparities is mitigated with RF treatment.

Lateralization and localization of neuropathology helps determine the extent to which eloquent cortex and diseased brain tissue share loci, important information for neurosurgical decision-making, and predicting neurocognitive outcomes. Emerging data suggest that lateralization and localization can inform specific neurorehabilitation approaches following acquired brain injury (ABI). In recent years, computerized cognitive remediation (CCR) of attention and working memory (WM) has been included among treatment guidelines to enhance cognition in post-acute recovery following ABI. Although CCR has shown promise for improving attention and executive functioning in ABI, it is unknown how treatment response may be predicted by locus of ABI. Even less is known about the effects of CCR following neurosurgery. The current study explores neurosurgical lateralization and localization as potential variables for predicting treatment response to CCR.

Adult patients with a variety of neurological diagnoses (N = 17; ∼47% women) completed a full course of Cogmed Working Memory Training (CWMT) s/p neurosurgical intervention. All participants engaged in 30 sessions of CWMT over eight weeks, as well as neuropsychological (NP) assessment at pre-training baseline, immediate post-training, and at 3-month follow-up. Objective and subjective indices of attention, working memory, executive functioning, and emotional well-being were evaluated at three time-points. Neurosurgical loci included left-hemisphere frontal, temporal, and temporoparietal lobes, as well as right-hemisphere frontal, frontotemporal, and temporal lobes.

NP data were reviewed and yielded a clinical impression of cognitive and affective functioning for a cohort of patients with heterogeneous diagnoses (e.g., brain tumor, epilepsy, NPH). Preliminary NP findings suggested that treatment response to CCR for WM was consistent with extant literature on brain-behavior relationships according to lateralization and localization of neurosurgical intervention.

Neurosurgical patients experience neurocognitive and affective dysfunction that may respond well to cognitive rehabilitation (CR) that includes CCR. Additionally, it is possible that lateralization and localization of surgical intervention may contribute to individual differences in treatment response. Further neurorehabilitation research is warranted to identify patients most likely to benefit from CCR and better tailor CR modalities to optimize recovery s/p neurological surgery.

Given that at least 75% of traumatic brain injuries in the U.S. are mild, concussions are a serious public health concern that cause significant neurological damage and negatively impact individuals’ quality of life. Due to the rotational forces that occur during a concussion, immediate damage to the corpus callosum is common, resulting in neurological and behavioral deficits. However, the longitudinal damage to the integrity of the corpus callosum is unclear and may differ across sections of the corpus callosum. Our primary aim was to compare the white matter integrity across eight corpus callosum tracts in concussed individuals to healthy controls 3-4 weeks after injury and at a 10-month follow-up.

Seventeen concussed participants completed a diffusion tensor imaging (DTI) scan 3-4 weeks after receiving a concussion and again 10 months after injury. Nineteen control participants completed a single DTI scan. DTI data were analyzed using the automated fiber quantification (AFQ) pipeline, which extracts fractional anisotropy (FA) values from 100 nodes in eight tracts of the corpus callosum (listed anterior to posterior): orbital frontal, anterior frontal, superior frontal, motor, superior parietal, posterior parietal, occipital, and temporal. Given the non-linearity, high multicollinearity, and large number of data points, a cubic smoothing spline was used to fit a penalized regression to the FA values in each tract, allowing us to compare the FA values of each node in each tract between groups and across time. To assess acute damage, a spline model for the concussed participants at 3-4 weeks was compared to a spline model for the control participants in each tract. To assess longitudinal damage, a spline model of the FA difference value (10-month minus acute visit) in concussed participants was compared to a spline model of the FA difference value for controls (zero, representative of a theoretical no change in FA values). Significant nodes were defined as p-values less than 0.006 (alpha of .05/8, given 8 tracts).

Acutely following injury, concussed participants showed lower FA values than controls in the anterior frontal, posterior parietal, occipital, and temporal tracts. In the orbital frontal tract, concussed participants had higher FA values on the left, but decreased FA values compared to controls in the middle. Longitudinally, concussed participants showed continued decreased white matter integrity in the orbital frontal, superior parietal, and occipital tracts, but improved white matter integrity in the anterior frontal and superior frontal tracts. The motor, posterior parietal, and temporal tracts showed mixed longitudinal results of decreased or improved white matter integrity within each tract.

Concussed individuals show decreased white matter integrity across the corpus callosum acutely after injury. Longitudinally, the most anterior and posterior portions of the corpus callosum (i.e., genu and splenium) show continued damaged while the more medial sections of the corpus callosum may show some recovery. Results suggest the corpus callosum displays differential patterns of damage acutely and longitudinally following concussion, with some tracts improving while others continue to deteriorate.

To assess the impact of injury severity on disease specific quality of life after Traumatic Brain Injury

The study was carried out in Department of Neurosurgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India after obtaining ethical clearance from Institute Ethics Committee. Sixty consecutive patients aged 18 and above with moderate to severe TBI (GCS score of 3-12 at admission) attending the Outpatient Department of Neurosurgery Specialty were screened. Out of 60 participants, 40 had moderate TBI (GCS 9-12) and 20 patients had severe TBI (GCS 3-8). The participants having any pre-existing major psychiatric disorders, intellectual disability, current or past history of substance abuse, degenerative and/or progressive condition, terminal illness and past history of TBI were excluded. Written informed consent was obtained from each participant. Socio-demographic details and information about clinical status at the time of admission and discharge were obtained from participant and hospital records. Disease specific quality of life was measured by QOLIBRI (Quality of life after brain injury). It is a self-reported measure comprising of 37 items. The first part assesses the subjects’ satisfaction with his HRQL in 4 domains (cognition, self, daily life and autonomy, and social relationships). The second part measures how much the subject is bothered after TBI in 2 domains (emotions and physical problems). The other tools administered were Glasgow Outcome Scale and Barthel’s Index of Activities of Daily Living (functional status); Mini Mental State Examination (cognitive status): Hospital Anxiety and Depression Scale (anxiety and depression).

The data was analyzed using statistical package for social sciences software version 21 (SPSS). There were no significant differences between both groups with regard to age, gender, education status, marital status, family type and place of residence. Both groups were similar with regard to mode of injury and duration of injury. With regard to treatment during admission both group had significant differences. Among severe TBI group 90% underwent surgical intervention whereas among moderate TBI group only 45% underwent surgical intervention. Significant difference was present in GCS score at discharge between both the groups. After 6 months of injury both group had no significant difference with regard to functional status, global cognitive functioning, anxiety and depression. With regard to quality of life significant difference emerged between the groups on QOLIBRI total score. On various subscales of QOLIBRI - significant differences were noted only in the domains of social relationship and emotions. There were no differences between them on domains of cognition, self, daily life and physical problems.

After 6 months of TBI, the participants in both groups (Moderate TBI and severe TBI) had similar functioning with regard to daily activities and psychological functioning. With regard to quality of life both groups emerged to be significantly different on overall quality of life and domains of social relationship and emotions.

Cognitive, motor and sensory deficits associated with aging, and with some neurological conditions such as acquired brain injury, may lead to severe driving performance impairment. While rehabilitation and driver assistance technologies may improve driving performance, the assessment of the actual fitness-to-drive of these people is challenging. Office-based neuropsychological/physical tests are considered insufficient to understand one’s ability to drive. The gold standard is the on-road assessment with dual control cars, superior in ecological validity, but expensive, stressful, and potentially unsafe. Valid, more cost-effective solutions for a safer, more accurate, standardized assessment of fitness-to-drive are currently needed. Modern and sensorized driving simulators offer key advantages, such as the possibility of exposing drivers to several relevant driving scenarios, including hazard situations, and of assessing their driving performance without being physically at risk. However, the extraction and direct interpretation of existing simulator-produced data may require specialized data processing skills or simulation expertise. To overcome this, we have developed an easy-to-use, pencil-and-paper observational instrument. The Sim-DOS is an adaptation of the widely used instrument to assess “natural driving”, the Driving Observation Schedule (DOS; Vlahodimitrakou et al., 2013).

Via expert consensus, DOS targeted behaviors were adapted to a simulated-based environment (signaling, observation of environment, speed regulation, slow or unsafe reaction, distance interpretation, vehicle/lane positioning), and the Sim-DOS scores calculation (based on errors while doing such behaviors) was adapted from DOS to include hazard situations (HS, 0-100) and free driving (FD, 0-°°) scores. The instrument was then piloted with a sample of 35 older adults, along with the collection of simulator-produced data on number of harsh events and driving speed. Participants drove two consecutive 20-minutes long scenarios, with low and high traffic density (LTD, HTD). In each scenario, there were periods with and without potentially hazard situations.

Assessments were performed by two independent trained observers, producing substantial inter-rater reliability (intra-class correlation coefficients above 0.94). Participants (70.7±4.1 years old, 60% male, 46.1±6.7 years of driving experience) were mostly regular drivers (74%). However, psychomotor skills of the majority were compromised, with only one participant being above the 80th percentile in the reaction times test of the national mandatory driving assessment. When exposed to hazard situations, most of the participants (94.1%) did not perform well, independently of traffic density, with average Sim-DOS-HS scores of 87.1±9.7 (out of 100, t-values>7.3, p-values<.05).

Compared to LTD scenarios, in HTD scenarios participants drove less smoothly (HTD:0.97±1.24 vs. LTD:0.33±0.58 of harsh events, Z=3.1, p<.05). However, they also drove slower (HTD:82.41±27.43 vs. LTD:103.55±14.61 km/h, t=5.2, p<.05), improving their ability to manage hazard situations, and therefore producing higher than expected Sim-DOS scores (HTD:87.05±10.28). During free driving, participants performed worse under LTD conditions (Sim-DOS-FD scores: HTD:11.68±6.20 vs. LTD:14.40±9.58, t=2.15, p<.05) as they drove at higher speed (HTD:85.01±24.28 vs. LTD:104.70±11.94 km/h, t=5.8, p<.05), although they did it more smoothly (HTD:1.94±3.74 vs. LTD:0.45±0.74 harsh events, Z=2.65, p<.05).

Our study provides a validated driving assessment tool for use in driving simulators that will allow a safer, more ecologic, holistic and informative evaluation of the fitness-to-drive of older adults and neurological patients.

The CCoSI is a brief screening instrument that is designed to detect cognitive impairment in children aged 5y0m-16y11m shortly after acquired brain injury (ABI) by evaluating language, fluency, attention, memory, and visuospatial domains. Each domain translates to a CCoSI index and is composed of a series of brief subtests. This study assessed the feasibility of modifying the Children’s Cognitive Screening Instrument (CCoSI) into an electronic version (eCCoSI) and administering it using video teleconferencing (VTC).

Tasks and stimuli were modified for online administration. Typically developing children aged 5y0m-16y11 m were tested using the modified eCCoSI via VTC. The eCCoSI was administered using Skype for Business and Microsoft Teams. Participants attended one 25-minute video assessment session over either platform. Results of VTC-assessed healthy controls were compared to age-matched peers ([25] Female: [19] Male; mean age = [11.54], SD = [3.01], age range =5.00-15.75) who had been previously tested face-to-face (FTF) with the original CCoSI at the Bristol Royal Hospital for Children (BRHC).

Age-related trends in performance were also examined across FTF and VTC for comparability.

44 typically developing children were virtually assessed ([25] Female: [19] Male; mean age = [11.79], SD = [3.03], age range =5.05-16.92). Results from a 2x2 ANOVA with age-group and modality as independent factors showed no significant difference in performance between participants tested FTF and VTC over the CCoSI Attention, Fluency, Language, Memory, and Visuospatial indices. No significant result of interaction between age and modality was found; however, there was a significant result of age-group.

VTC assessment is a feasible alternative to FTF administration of the CCoSI within healthy controls. Results from the present study are promising for the use of the eCCoSI in clinical practice. Further research should attempt to replicate these results within clinical populations.

Cognitive flexibility, typically measured using neuropsychological tasks of set-shifting, has been associated with mental and physical health, social relationships, resilience, and overall quality of life (Diamond, 2013; Chen et al., 2014; Davis et al., 2010; de Abreu et al., 2014; Genet et al., 2011). Previous research has found conflicting results regarding the relationship between set-shifting and various measures of functional outcomes in individuals with traumatic brain injury (Allanson et al., 2017). The present study examined the relationship between cognitive flexibility and adaptive functioning in individuals with acquired brain injuries (ABI).

Participants in this research are adults (n = 116) with severe, chronic ABI who completed a neuropsychological evaluation through Bancroft Neurorehab between 2012-2022. Participants ranged in age from 20.4 - 67.8 years (M = 45.8). Individuals included in data analysis completed Trails A and B, Wide Range Achievement Test, Fourth Edition (WRAT-4) Word Reading, and Texas Functional Living Scale (TFLS). Set-shifting ability was measured using Trails B and adaptive functioning was measured using the TFLS. Word reading ability, measured using the WRAT-4, was included as a covariate to account for the impact of word reading difficulties on Trails B performance.

A simple linear regression was conducted to examine if Trails B T-score (M = 24.7) and WRAT-4 Word Reading Standard Score (M = 87.8) predicted TFLS Total T-score (M = 35.8). The overall regression model was statistically significant (R2 = .351, F(2, 113) = 32.0, p < .001). It was found that lower performances on Trails B (ß = .272, p <.001) and WRAT-4 Word Reading (ß = .189, p <.001) both significantly predicted a lower TFLS Total T-score.

Set-shifting and word reading ability significantly predicted the overall adaptive functioning score on the TFLS which adds to a body of literature that suggests that the ability to think and behave flexibly affects functional aspects of everyday living. These findings are consistent with previous literature regarding the association between cognitive flexibility and adaptive functioning in the general population, and these results add to the growing body of research on cognitive flexibility in individuals with brain injury. Clinicians may use an individual’s set-shifting performance to estimate and further assess potential difficulties in completing activities of daily living. This information may assist in subsequent treatment planning and identifying treatment goals of cognitive rehabilitation consistent with rehabilitation psychology’s goals of increasing levels of adaptive functioning and quality of life (Division 22 of the American Psychological Association, n.d.). Future research may examine if certain domains of adaptive functioning are more or less affected by impairments in cognitive flexibility. Future research may also examine patterns of set-shifting performance, such as sequencing errors vs. set-loss errors, associated with specific areas of insult.

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease that can only be diagnosed at post-mortem. Revised criteria for the clinical syndrome of CTE, known as traumatic encephalopathy syndrome (TES), include impairments in episodic memory and/or executive function as core clinical features. These criteria were informed by retrospective interviews with next-of-kin and the presence and rates of objective impairments in memory and executive functions in CTE are unknown. Here, we characterized antemortem neuropsychological test performance in episodic memory and executive functions among deceased contact sport athletes neuropathologically diagnosed with CTE.

The sample included 80 deceased male contact sport athletes from the UNITE brain bank who had autopsy-confirmed CTE (and no other neurodegenerative diseases). Published criteria were used for the autopsy diagnosis of CTE. Neuropsychological test reports (raw scores) were acquired through medical record requests. Raw scores were converted to z-scores using the same age, sex, and education-adjusted normative data. Tests of memory included long delay trials from the Rey Complex Figure, CVLT-II, HVLT-R, RBANS, and BVMT-R. Tests of executive functions included Trail Making Test-B (TMT-B), Controlled Oral Word Association Test, WAIS-III Picture Arrangement, and various WAIS-IV subtests. Not all brain donors had the same tests, and the sample sizes vary across tests, with 33 donors having tests from both domains. Twenty-eight had 1 test in memory and 3 had 2+. Eight had 1 test of executive function and 46 had 2+. A z-score of 1.5 standard deviations below the normative mean was impaired. Interpretation of test performance followed the American Academy of Clinical Neuropsychology guidelines (Guilmette et al., 2020). Bivariate correlations assessed cumulative p-tau burden (summary semiquantitative ratings of p-tau severity across 11 brain regions) and TMT-B (n=34) and CVLT-II (n=14), the most common tests available.

Of the 80 (mean age= 59.9, SD=18.0 years; 13, 16.3% were Black), 72 played football, 4 played ice hockey, and 4 played other contact sports. Most played at the professional level (57, 71.3%). Mean time between neuropsychological testing and death was 3.9 (SD= 4.5) years. The most common reason for testing was dementia-related (43, 53.8%). Mean z-scores fell in the average psychometric range(mean z= -0.52, SD=1.5, range= -6.0 to 3.0) for executive function and the low average range for memory (mean z= -1.3, SD=1.1, range= -4.0 to 2.0). Eleven (20.4%) had impairment on 1 test and 3 (5.6%) on 2+ tests of executive functions. The most common impairment was on TMT-B (mean z= -1.77, 13 [38.2%] impaired). For memory, 13 (41.9%) had impairment on 1 test. Of the 14 who had CVLT-II, 7 were impaired (mean z= -1.33). Greater p-tau burden was associated with worse performance on CVLT-II (r= -.653, p= .02), but not TMT-B (r= .187, p>.05).

This study provides the first evidence for objectively-measured impairments in executive functions and memory in a sample with known, autopsy-confirmed CTE. Furthermore, p-tau burden corresponded to worse memory test performance. Examination of neuropsychological tests from medical records has limitations but can overcome shortcomings of retrospective informant reports to provide insight into the cognitive profiles associated with CTE.

Mild traumatic brain injury (mTBI) remains one of the most silent recurrent head injuries reported in the United States. mTBI accounts for nearly 75 percent of all traumatic brain injuries in the American population. Brain injury is often associated with impulsivity, but the association between resting state functional connectivity (rsFC) and impulsivity at multiple stages since time-since-injury (TSI) is unclear. We hypothesized that rsFC within the default mode network (DMN) would predict impulsivity across multiples stages of recovery in mild TBI.

Participants healthy controls (HC: n=35 total [15 male, 20 female], age M=24.40, SD=5.95; mTBI: n=121 total [43 male; 78 female], age M=24.76, SD=7.48). Participants completed a cross-sectional study design at various post-injury time points ranging from (2W, 1M,3M,6M,12M). Participants a neuroimaging session and behavioral tasks including a psychomotor vigilance task. Impulsivity was assessed as a combination of false starts and impulsive responses on behavioral tasks. The neuroimaging session included a rsFC scan. To predict impulsivity from brain connectivity, we conducted a series of stepwise linear regression analyses with the 11 functional brain connections (extracted as Fisher’s z-transformed correlations between regions) as predictors and each of the 13 neurocognitive factor scores separately. We focus here on the outcomes for the impulsivity factor.

Results showed greater positive connectivity between the and Right Frontal Pole and the anterior cingulate cortex (ACC; seed) (ß = .158, t = 1.98, p = .049) which was associated with greater impulsivity. Individuals in the 2W group demonstrated one significant predictor (R = .632, R2 = .399, F = 5.32, p = .050). Largely, there was greater positive connectivity between the Right Frontal Pole and the ACC (seed) and (ß = .632, t = 2.31, p = .050) which was associated with higher impulsivity at the 2W time-since-injury. No predictors emerged for the 1M, 3M, or 6M conditions. However, individuals in the 12M group demonstrated two significant predictor connections (R = .497, R2 = .247, F = 5.73, p = .007). Overall, a linear combination of greater negative (anticorrelated) connectivity between the Right Frontal Pole and the mPFC (seed) (/? = -.576, t = -3.53, p = .002) and greater positive connectivity between the Paracingulate Cortex (seed) and the Left Lateral Prefrontal Cortex (ß = .368, t = 2.14, p = .039) was also associated with greater impulsivity in individuals with mTBI at 12M.

These findings suggest functional connectivity between the anterior node of the DMN and prefrontal cortex regions involved in behavioral control was predictive of higher impulsivity in individuals with mTBI at 2W and 12M post injury, but not at other time frames. Interestingly, these connections differed at the two time points. Acutely, greater impulsivity was associated with greater connectivity among regions involved in error detection, exploration, and emotion. At one year, the connections involve regions associated with error monitoring and inhibitory processes. This may reflect compensatory strategy development during recovery.