Assessment of performance validity during neuropsychology evaluation is essential to reliably interpret cognitive test scores. Studies (Webber et al., 2018; Wisdom, et al., 2012) have validated the use of abbreviated measures, such as Trial 1 (T1) of the Test of Memory Malingering (TOMM), to detect invalid performance. Only one study (Bauer et al., 2007) known to these authors has examined the utility of Green’s Word Memory Test (WMT) immediate recall (IR) as a screening tool for invalid performance. This study explores WMT IR as an independent indicator of performance validity in a mild TBI (mTBI) veteran population.

Participants included 211 (Mage = 32.1, SD = 7.4; Medu = 13.1, SD = 1.64; 94.8% male; 67.8% White) OEF/OIF/OND veterans with a history of mTBI who participated in a comprehensive neuropsychological evaluation at one of five participating VA Medical Centers. Performance validity was assessed using validated cut scores from the following measures: WMT IR and delayed recall (DR); TOMM T1; WAIS-IV reliable digit span; CVLT-II forced choice raw score; Wisconsin Card Sorting Test failure to maintain set; and the Rey Memory for Fifteen Items test, combo score. Sensitivity and specificity were calculated for each IR score compared with failure on DR. In addition, sensitivity and specificity were calculated for each WMT IR score compared to failure of at least one additional performance validity measure (excluding DR), two or more measures, and three or more measures, respectively.

Results indicated that 46.8% participants failed to meet cut offs for adequate performance validity based on the standard WMT IR cut score (i.e., 82.5%; M = 81.8%, SD = 17.7%); however, 50.2% participants failed to meet criteria based on the standard WMT DR cut score (M = 79.8% SD = 18.6%). A cut score of 82.5% or below on WMT IR correctly identified 82.4% (i.e., sensitivity) of subjects who performed below cut score on DR, with a specificity of 94.2%. Examination of IR cutoffs compared to failure of one or more other PVTs revealed that the standardized cut score of 82.5% or below had a sensitivity of 78.2% and a specificity of 72.4%; whereas, a cut score of 65% or below had a sensitivity of 41% and a specificity of 91.3%. Similarly, examination of IR cutoffs compared to failure of two or more additional PVTs revealed that the cut score of 60% or below had a sensitivity of 45.7% and specificity of 93.1% ; whereas, a cut score of 57.5% or below had a sensitivity of 57.9% and specificity of 90.9% when using failure of three or more PVTs as the criterion.

Results indicated that a cut score of 82.5% or below on WMT IR may be sufficient to detect invalid performance when considering WMT DR as criterion. Furthermore, WMT IR alone, with adjustments to cut scores, appears to be a reasonable way to assess symptom validity compared to other PVTs. Sensitivity and specificity of WMT IR scores may have been adversely impacted by lower sensitivity of other PVTs to independently identify invalid performance.

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.

Consideration of individual differences in recovery after concussion has become a focus of concussion research. Sex and racial/ethnic identity as they may affect reporting of concussion symptoms have been studied at single time points but not over time. Our objective was to investigate the factors of self-defined sex and race/ethnicity in reporting of lingering concussion symptoms in a large sample of adolescents.

Concussed, symptomatic adolescents (n=849; Female=464, Male=385) aged 13-18 years were evaluated within 30 days of injury at a North Texas Concussion Registry (ConTex) clinic. Participants were grouped by self-defined race/ethnicity into three groups: Non-Hispanic Caucasian (n=570), Hispanic Caucasian (n=157), and African American (n=122). Measures collected at the initial visit included medical history, injury related information, and the Sport Concussion Assessment Tool-5 Symptom Evaluation (SCAT-5SE). At a three-month follow-up, participants completed the SCAT-5SE. Pearson’s Chi-Square analyses examined differences in categorical measures of demographics, medical history, and injury characteristics. Prior to analysis, statistical assumptions were examined, and log base 10 transformations were performed to address issues of unequal group variances and nonnormal distributions. A three-way repeated measures ANOVA (Sex x Race/Ethnicity x Time) was conducted to examine total severity scores on the SCAT-5SE. Bonferroni post-hoc tests were performed to determine specific group differences. SPSS V28 was used for analysis with p<0.05 for significance. Data reported below has been back transformed.

A significant interaction of Time by Race/Ethnicity was found for SCAT-5SE scores reported at initial visit and three-month follow-up (F(2, 843)=7.362, p<0.001). To understand this interaction, at initial visit, Race/Ethnicity groups reported similar levels of severity for concussion symptoms. At three month follow-up, African Americans reported the highest level of severity of lingering symptoms (M= 3.925, 95% CIs [2.938-5.158]) followed by Hispanic Caucasians(M= 2.978, 95% CIs [2.2663.845]) and Non-Hispanic Caucasians who were the lowest(M= 1.915, 95% CIs [1.6262.237]). There were significant main effects for Time, Sex, and Race/Ethnicity. Average symptom levels were higher at initial visit compared to three-month follow-up (F(1, 843)=1531.526, p<0.001). Females had higher average symptom levels compared to males (F(1, 843)=35.58, p<0.001). For Race/Ethnicity (F(2, 843)=9.236, p<0.001), Non-Hispanic Caucasians were significantly different than African Americans (p<0.001) and Hispanic Caucasians (p=0.021) in reported levels of concussion symptom severity.

Data from a large sample of concussed adolescents supported a higher level of reported symptoms by females, but there were no significant differences in symptom reporting between sexes across racial/ethnic groups. Overall, at three-months, the African American and Hispanic Caucasians participants reported a higher level of lingering symptoms than Non-Hispanic Caucasians. In order to improve care, the difference between specific racial/ethnic groups during recovery merits exploration into the factors that may influence symptom reporting.

Prior research has found that a greater history of concussion is associated with subtle increases in symptom endorsement. Recent work indicates that a family history of psychiatric disorder is a potential risk factor for prolonged recovery following a single injury. While greater symptom endorsement is observed among those with a personal psychiatric history, the potential role of family psychiatric history in elevated symptom endorsement in the context of repeated concussion has not been investigated. Therefore, the objective of this work was to determine whether family psychiatric history moderates the association of concussion history and elevated symptom endorsement in active collegiate athletes.

A total of 176 (mean age = 21.19 ± 1.63; 116 male) collegiate athletes completed this study at the Medical College of Wisconsin. Participant’s family psychiatric history was collected through a modified Family History Screen (FHS) regarding the participant’s biological parents, siblings, and children, focusing on questions relating to major depressive disorder (MDD; 3 total questions) and general psychiatric history (5 total questions). Concussion history was assessed through a semi-structured interview using American College of Rehabilitation Medicine criteria for mild traumatic brain injury. Concussion symptoms were measured via the Sport Concussion Assessment Tool (SCAT-5) and psychological distress was assessed using the Brief Symptom Inventory-18 (BSI-18). General linear models tested the association of the number of prior concussions with log-transformed SCAT-5 and BSI-18 scores. Additional general linear models were fit to assess the effects of number of prior concussions, family psychiatric history (MDD family history and general family history, each coded as Yes/No), and the interaction of prior concussion and family psychiatric history on log-transformed SCAT-5 and BSI-18 scores. Sex was included as a covariate in all models.

More prior concussions were significantly associated with greater symptom severity scores on the SCAT-5 (x2=26.87, p<0.001, unstandardized beta[B](standard error[SE])=0.25(0.05)) and BSI-18 (x2=20.94, p<0.00, B(SE)=0.19(0.04)). For the models investigating the effects of family psychiatric history, neither the main effect of MDD family history nor the MDD family history by prior concussion interaction were significant for either the SCAT-5 (ps>0.05) or BSI-18 (ps>0.05). Similarly, for the general history model, neither the main effect of general family psychiatric history nor the interaction of general family psychiatric history and number of prior concussions were significant for either the SCAT-5 (ps>0.05) or BSI-18 (ps>0.05). For both the MDD family history and general psychiatric family history models, the number of prior concussions remained positively associated with subjective symptoms on both the SCAT-5 (X2=20.10, p<0.001, and x2=23.50, p<0.001) and BSI-18 (x2=16.46, p<0.001, and x2=20.68, p<0.001).

The results of the current study provide further evidence for a relationship between elevated sub-clinical symptom endorsement and the number of prior concussions in active, collegiate athletes. The results do not, however, support the hypothesis that the association between prior concussion and an athletes’ level of symptom endorsement are moderated by the family psychiatric history. Additional research is needed to determine what factors predispose some individuals to the adverse chronic effects of repeated concussion.

COVID-19 has significantly impacted society for over 2.5 years, and Long COVID is concerning for its long-term impact on the healthcare system. Further, cognitive and emotional functioning in Long COVID has limited research, but 2 recent studies (Whiteside et al., 2022a, Whiteside et al., 2022b) examined cognitive and emotional functioning in Long COVID patients approximately 6 months post-diagnosis. The studies found limited cognitive deficits, but significant depression and anxiety, which in turn were the best predictors of low average cognitive scores. Further, the mean Personality Assessment Inventory (PAI) profile included highest mean elevations on somatic preoccupation (SOM) and depression (DEP) subscales. To further explore personality functioning in Long COVID, this study compared PAI profiles of Long COVID patients with a potentially similar group with post-concussion syndrome (PCS) which has been shown to have a strong psychological component.

Participants included 44 consecutive outpatients (Mean age = 47.89, SD = 13.05, 84% Female, 75% Caucasian) referred from a Long COVID clinic with cognitive complaints related to COVID, while the comparison group of PCS patients included 50 consecutive referrals (Mean age = 38.82, SD = 16.24, 52% Female, 90% Caucasian) related to cognitive complaints attributed to PCS. A series of t-tests between the 2 groups was conducted on the PAI validity, clinical, interpersonal, and treatment consideration scales. PAI clinical subscales were also compared. To control for multiple comparisons, p < .01 was utilized and effect sizes were compared.

The results demonstrated that both Long COVID (SOM M = 68.66, SD = 12.56; DEP M = 63.39, SD = 12.70) and PCS groups (SOM M = 65.28, SD = 12.06; DEP M = 70.32, SD = 16.15) displayed the highest mean elevations on PAI SOM and DEP scales but no statistically significant differences in mean scale elevations between Long COVID and PCS groups on SOM (t [92] = 1.33, p = .80) and DEP (t [92] = -2.11, p = .097). However, results demonstrated statistically significant differences on the paranoia subscale (PAR; t [92] = -3.27, p = .009), antisocial features subscale (ANT; t [92] = -2.22, p = .01), stress subscale (STR; t [90] = -3.51, p = .006) and suicidal ideation subscale (SUI; t [92] = -2.73, p = .000) of the PAI. Specifically, the mean scores for the PCS group were higher across the paranoia (M = 57.30), antisocial features (M= 52.24), stress (M = 58.44), and suicidal ideation subscales (M = 57.82) of the PAI than the Long COVID group. While these patterns of reporting differed between groups, mean scores for both groups were in the normal range.

Results support the similarities in emotional/personality functioning across Long COVID and PCS patients and the importance of evaluating psychological functioning in these samples as a standard part of neuropsychological evaluations. Further, the results suggest that psychological treatment strategies utilized with PCS patients may be helpful for Long COVID patients, but more research is needed.

Recent conceptualizations of concussion symptoms have begun to shift from a latent perspective (which suggests a common cause; i.e., head injury), to a network perspective (where symptoms influence and interact with each other throughout injury and recovery). Recent research has examined the network structure of the Post-Concussion Symptom Scale (PCSS) cross-sectionally at pre-and post-concussion, with the most important symptoms including dizziness, sadness, and feeling more emotional. However, within-subject comparisons between network structures at pre-and post-concussion have yet to be made. These analyses can provide invaluable information on whether concussion alters symptom interactions. This study examined within-athlete changes in PCSS network connectivity and centrality (the importance of different symptoms within the networks) from baseline to post-concussion.

Participants were selected from a larger longitudinal database of high school athletes who completed the PCSS in English as part of their standard athletic training protocol (N=1,561). The PCSS is a 22-item self-report measure of common concussion symptoms (i.e., headache, vomiting, dizziness, etc.) in which individuals rate symptom severity on a 7-point Likert scale. Participants were excluded if they endorsed history of brain surgery, neurodevelopmental disorder, or treatment history for epilepsy, migraines, psychiatric disorders, or alcohol/substance use. Network analysis was conducted on PCSS ratings from a baseline and acute post-concussion (within 72-hours post-injury) assessment. In each network, the nodes represented individual symptoms, and the edges connecting them their partial correlations. Estimations of the regularized partial correlation networks were completed using the Gaussian graphical model, and the GLASSO algorithm was used for regularization. Each symptom’s expected influence (the sum of its partial correlations with other symptoms) was calculated to identify the most central symptoms in each network. Recommended techniques from Epskamp et al. (2018) were completed for assessing the accuracy of the estimated symptom importance and relationships. Network Comparison Tests were conducted to observe changes in network connectivity, structure, and node influence.

Both baseline and acute post-concussion networks contained negative and positive relationships. The expected influence of symptoms was stable in both networks, with difficulty concentrating having the greatest expected influence in both. The strongest edges in the networks were between symptoms within similar domains of functioning (e.g., sleeping less was associated with trouble falling asleep). Network connectivity was not significantly different between networks (S=0.43), suggesting the overall degree to which symptoms are related was not different at acute post-concussion. Network structure significantly differed at acute post-concussion (M=0.305), suggesting specific relationships in the acute post-concussion network were different than they were at baseline. In the acute post concussion network, vomiting was less central and sensitivity to noise and mentally foggy more central.

PCSS network structure at acute post-concussion is altered, suggesting concussion may disrupt symptom networks and certain symptoms’ associations with the experience of others after sustaining a concussive injury. Future research should compare PCSS networks later in recovery to examine if similar structural changes remain or return to baseline structure, with the potential that observing PCSS network structure changes post-concussion could inform symptom resolution trajectories.

Many Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) Veterans have sustained a mild traumatic brain injury (mTBI) during their military service and a substantial “miserable minority” frequently report significant cognitive complaints long after injury. Although existing studies have shown associations between genetic factors (e.g., apolipoprotein E [APOE] and brain-derived neurotrophic factor [BDNF]) and cognitive performance in this vulnerable population, the TBI-genetics literature has generally been varied and inconsistent. Although past findings suggest that individuals who possess APOE £4 and BDNF Met alleles have worse cognitive outcomes after mTBI, this has not been consistently reported. Additionally, the influence of any gene-by-gene interactions on cognition has not been sufficiently explored and therefore remains a critical area of interest. Thus, we examined relationships between APOE and BDNF genotypes on neuropsychological function in a well-characterized sample of younger Veterans with mTBI histories.

Participants included Veterans with a history of mTBI who adequately completed performance validity testing. In total, 78 Veterans (84.6% male; age: M=32.95, SD=7.00; race/ethnicity: 51.3% White, 28.2% Hispanic/Latino, and 20.5% Another Race/Ethnicity) completed a structured clinical interview to collect detailed information on TBI history and underwent a comprehensive neuropsychological exam. A buccal swab was also collected to determine APOE and BDNF allele status for each participant. Three cognitive composite scores were computed reflecting memory (8 items), attention/processing speed (7 items), and executive functioning (10 items). Two-way analyses of covariance (ANCOVAs) adjusting for age, sex, and race/ethnicity were used to assess the effects of APOE (ε4+ vs. ε4-) and BDNF (Met+ vs. Met-) on cognitive functioning (ε4+/Met-: n=12, ε4+/Met+: n=8, £4-/Met-: n=35, and ε4-/Met+: n=23).

ANCOVAs revealed no significant main effects for APOE or BDNF genotypes on cognitive functioning; however, there was a significant APOE x BDNF genotype interaction for all three cognitive composites (memory: p=.026, np2=.068; attention/processing speed: p=.045, np2=.055; and executive functioning: p=.031, np2=.064). Specifically, the interaction was such that Veterans in the ε4+/Met+ group demonstrated the poorest cognitive functioning relative to all other allele group combinations (ε4+/Met-, ε4-/Met+, ε4-/Met-).

The results of this preliminary study demonstrate that, compared to the other genetic subgroups in the TBI sample, Veterans with APOE £4 and BDNF Met alleles demonstrated the poorest cognitive functioning across several domains known to be negatively affected in the context of head injury (i.e., memory, attention/processing speed, and executive functioning). These findings are the first to show an APOE x BDNF interaction in Veterans with histories of mTBI. Further

research is necessary to replicate and extend this study in larger samples. Moreover, future work should incorporate neuroimaging variables to better interrogate structural and functional correlates of these observed genetic polymorphism associations in Veterans with mTBI histories.

Children who sustain a mild traumatic brain injury (mTBI) are at increased odds of additive injury and continue to show altered motor performance relative to never-injured peers after being medically cleared (MC) to return to normal activities. There is a critical need to determine when children can return to activities without risk of short and long-term adverse effects, with research showing high reinjury rates for 3-12 months after RTP. The Physical and Neurological Examination for Subtle Signs (PANESS) measures subtle signs of motor impairment during gait, balance, and timed motor functions. Recent literature has demonstrated that PANESS timed motor function can distinguish between children medically cleared post-mTBI compared to never-injured controls. The present study examined performance on timed motor tasks in youth medically cleared from mTBI following medical clearance and 3-months later, compared to never-injured peers.

25 children (Mage=14.16, SD=2.46; Male=68%) were enrolled within 6 weeks of medical clearance from mTBI (Mdays post MC=33, SD=13.4, Range=2-59) along with 66 typically developing, never-injured controls (Mage=13.9, SD=2.22; Male=50%). Group differences were evaluated for the Timed Motor section of the PANESS at enrollment and at a 3-month follow-up (Mdays from enrollment to follow-up=95.90, SD=12.69, Range=62-129). This 3-month follow-up occurred on average 4 months after medical clearance (Mdays from MC to follow-up=130.08, SD=17.58, Range=92 - 164). The Timed Motor section includes Repetitive (foot tapping, hand patting, and finger tapping) and Sequential (heel-toe rocking, hand pronate/supinate, finger sequencing) raw time scores, measured in seconds. The Total Timed Motor Speed score is the combination of Repetitive and Sequential Movement and the side-to-side tongue item.

At 3-month follow-up, mTBI participants (M=67.55, SD=8.26, Range=53.66-83.88) performed worse than controls (M=63.09, SD=10.23, Range=39.86-100.51) on Total Timed Motor Speed, t(89)= 1.95, p<0.05), including when controlling for age and sex, F(1, 87)=4.67, p<0.05. At the same time point, mTBI participants (M=36.54, SD=5.47, Range=28.74-49.17) performed worse on Sequential Speed than controls (M=32.93, SD=6.1, Range=21.49-56.76), t(89)=2.59, p<0.01, including when controlling for age and sex, F(1, 87)=7.687, p<0.01). Although groups performed similarly on Sequential Speed at the initial time point, mTBI participants exhibited a trend of less improvement from initial to follow-up (MmTBI=-1.69, Mcontrol=-3.68, t(90)=1.445, p=0.076).

Although groups did not significantly differ on Timed Motor Speed items at the initial time point, the mTBI group showed consistently lower scores than controls at both time points and less improvement over time. Results indicate that Total Timed Motor Speed, specifically Sequential Speed, may be a sensitive marker of persisting differences in high-level motor and cognitive learning/control in children who have been medically cleared after mTBI. More data are needed to evaluate these findings over a longer time period, and future studies should examine behavioral markers concurrently with physiologic brain recovery over time.

Mild traumatic brain injury (mTBI) is an important public health problem, due to its high incidence and the failure of at least 20% of patients to successfully recover from injury. Cognitive symptoms, in particular, are an important area of research in mTBI, due to their association with return to work and referral to neuropsychological services. Understanding the predictors of cognitive symptoms may help to improve outcomes after mTBI. This study explored female sex, psychological distress, coping style and illness perceptions as potential predictors of cognitive symptoms following adult civilian mTBI.

Sixty-nine premorbidly healthy adults with mTBI (mean age = 36.7, SD = 14.7, range = 18-60; 15 females) were recruited from trauma wards at two public hospitals in Australia and assessed 6-12 weeks following injury. Cognitive complaint was measured using a comprehensive 30-item scale (CCAMCHI) assessing mTBI-specific symptoms in the domains of processing speed, attention, memory and executive function. Participants additionally completed the following measures: Brief-COPE, Illness Perceptions Questionnaire-Revised, Inventory of Depressive Symptomatology, Beck Anxiety Inventory, and PTSD Checklist for DSM-5. The latter three measures were combined to create an index of psychological distress.

Bivariate nonparametric correlational analyses indicated that female sex (r[67] = .26, 95% CI [.14, .55], p = .03) and psychological distress (r[66] = .54, 95% CI [.40, .72], p < .001) were each significantly associated with cognitive symptom reporting following mTBI. Additionally, while none of the three coping style factors were associated with cognitive symptom reporting, seven of the eight dimensions of illness perceptions were associated with symptom reporting (|r| = .25 - .58, p < 0.05). In a linear regression model assessing the combined effects of each variable, female sex, greater psychological distress, and overall negative illness perceptions were each significant independent predictors of increased cognitive complaint (adj. R2 = .47, F[4,63] = 15.59, p < .001).

These findings implicate female sex, psychological distress, and illness perceptions as key factors associated with cognitive symptom reporting after mTBI. This research suggests that these factors may be useful in clinical practice when considering early identification of individuals at risk of poor recovery. Specifically, this research implicates females, individuals with high psychological distress, and individuals with negative illness perceptions as important to subgroups to consider for potential intervention after mTBI. Additionally, as psychological distress and illness perceptions are both potentially modifiable, this research suggests that these factors may be useful targets for intervention.

Concussion patients frequently report increased distractibility, with more than half endorsing “concentration difficulty”. Previous studies have demonstrated impairments in maintaining attention and voluntary attentional allocation in concussion patients. However, involuntary attentional allocation (distraction) is not well understood in the context of concussion. The goal of this study was to examine distraction in acute pediatric concussion patients, monitoring frontal lobe activity using functional near-infrared spectroscopy (fNIRS) - a noninvasive measure of local hemodynamic activity - to elucidate whether post-concussion distractibility is associated with the availability of attentional control resources.

Participants included concussion patients (cases; n=19) presenting to specialty care within 28 days of injury (M=8.05, SD=5.55) and controls (n=16) presenting for reasons other than concussion. Participants were 13-17 years old (M=14.83, SD=1.10) and 57.1% female. Participants completed a computerized measure of behavioral distraction (the additional singleton paradigm) while frontal lobe activity was recorded using fNIRS 4-channel split sensor. On each trial, an array of shapes (five squares and one circle) was presented, and participants reported the orientation of a line segment inside a target shape (circle). The search array included a distractor (a square that differed in color) on 50% of trials. For each participant, the fNIR signal for epochs of each trial type (distractor present/absent) were averaged and subjected to a linear regression in which the data were fitted to a hemodynamic response function (HRF).

34 participants (19 cases, 15 controls) were included in our behavioral analysis. Reaction time (RT) was significantly slower on distractor present compared to distractor absent trials; F(1,32)=17.151, p<.001. There was no significant effect of group (case/control) on RT (F(1,32)=1.24, p=.273) or interaction between group and trial type (F(1,32)=1.05, p=.313). 29 participants (15 cases, 14 controls) were included in fNIRS analyses. The effect of group and distractor presence/absence on oxygenated hemoglobin (HbO2) was examined for each channel. A significant effect of distractor presence/absence was observed in channel 3; F(1,27)=8.510, p=.007. There were no significant effects of group or interactions between group and distractor presence/absence.

Lastly, a capture index was calculated for each participant by subtracting average RT on distractor absent trials from distractor present trials and correlated with HbO2 (beta weights averaged across trial type) for each group at each channel. No significant correlations were observed. There was a trend towards a negative correlation for case participants, particularly in channel 1, which strengthened when an outlier was removed (r=-.407, p=.149).

Reaction time and frontal lobe activity - which serves as a proxy for attentional control resources - were significantly higher when a distractor was present. Although there were no significant differences in behavioral distraction between groups, concussion patients trended towards higher levels of frontal lobe activity. Likewise, although not statistically significant, there was a trend towards a negative correlation for cases such that more attentional control resources (i.e., higher frontal lobe activity) was associated with less behavioral distraction (i.e., smaller capture index). This suggests that concussion patients may recruit more neural resources to produce comparable behavioral responses to healthy controls.

Recent studies have begun to explore the role of psychological resilience in pediatric mTBI recovery, with findings associating higher levels of resilience with shorter recovery and lower levels of resilience mediated by pre-injury anxiety and depression associated with persistent symptoms. The purpose of this study is to extend the current literature by further exploring the relationship between resilience, post-injury emotional changes, and length of recovery from pediatric mTBI. Based upon previous literature, we predicted that resilience would explain a unique portion of the variance in length of recovery above and beyond acute post-injury emotional symptoms in adolescents recovering from mTBI compared with orthopedic injured (OI) controls.

The current study pulled data from a larger project utilizing a prospective cohort design in two cohorts of high school student-athletes aged 14-18 (N = 32). Participants with mTBI (n = 17) or OI (n = 15) sustained during sport were recruited within 10 days of injury from a quaternary care setting. Participants completed a neuropsychological screening evaluation within one week of enrollment, including self-report rating scales of resilience (Connor-Davidson Resilience Scale-10; CD-RISC) and self- and parent-reported post-concussion symptoms (Post-Concussion Symptom Inventory, Second Edition; PCSI-2). Hierarchical regression analysis was performed with days from injury to recovery as the dependent variable. Predictors were entered in three steps: (1) group (mTBI/OI) and sex, (2) PCSI self- and parent-reported post-injury change in emotional symptoms, and (3) CD-RISC raw score. Bonferroni correction was utilized to control for multiple comparisons.

Group and sex did not provide significant prediction when entered into the first block of the model (p= .61). Introducing PCSI emotional ratings in the second block showed statistically significant improvement, F (2,26) = 5.12, p< .01), accounting for 31% of the variance in recovery length. Addition of the CD-RISC in the third block was not statistically significant (p=.59). Post hoc testing indicated parent ratings on the PCSI were significantly associated with recovery length t(32) = 3.16, p < .01, while self-reported ratings were not (p=.54).

Findings indicated that psychological resilience did not explain a unique portion of the variance in length of recovery above and beyond acute parent report of postinjury emotional symptoms in adolescents recovering from mTBI compared with orthopedic injured (OI) controls. Interestingly, sex, group (mTBI vs. OI), and self-reported acute postinjury emotional symptoms were not significant predictors of recovery length in this sample. Results highlight the significant role of acute changes in emotional symptoms in adolescents recovering from mTBI and OI in predicting length of recovery, as well as the importance of obtaining separate caregiver report. A more robust understanding of factors contributing to recovery from injury can help inform and improve preventive measures and treatment plants for those at risk or impacted; however, psychological resilience may not uniquely contribute to predicting length of recovery in acutely injured adolescents, limiting value added to the clinical exam. Future studies should explore the relationship between type of injury and recovery time in larger samples.

An accurate accounting of prior sport-related concussion (SRC) is critical to optimizing the clinical care of athletes with SRC. Yet, obtaining such a history via medical records or lifetime monitoring is often not feasible necessitating the use of self-report histories. The primary objective of the current project is to determine the degree to which athletes consistently report their SRC history on serial assessments throughout their collegiate athletic career.

Data were obtained from the NCAA-DoD CARE Consortium and included 1621 athletes (914 male) from a single Division 1 university who participated in athletics during the 2014-2017 academic years. From this initial cohort, 752 athletes completed a second-year assessment and 332 completed a third-year assessment. Yearly assessments included a brief self-report survey that queried SRC history of the previous year. Consistency of self-reported SRC history was defined as reporting the same number of SRC on subsequent yearly evaluation as had been reported the previous year.

For every year of participation, the number of SRC reported on the baseline exam (Reported) and the number of SRC recorded by athletes and medical staff during the ensuing season (Recorded) were tabulated. In a subsequent year, the expected number of SRC (Expected) was computed as the sum of Reported and Recorded. For participation years in which Expected could be computed, the reporting deviation (RepDev) gives the difference between the number of SRCs which were expected to be reported at a baseline exam based on previous participation year data and the number of SRCs which was actually reported by the athlete or medical record during the baseline exam. The reporting deviation was computed only for those SRC that occurred while the participant was enrolled in the current study (RepDevSO). Oneway intraclass correlations (ICC) were computed between the expected and reported numbers of SRC.

341 athletes had a history of at least one SRC and 206 of those (60.4%) had a RepDev of 0. The overall ICC for RepDev was 0.761 (95% CI 0.73-0.79). The presence of depression (ICC 0.87, 95% CI 0.79-0.92) and loss of consciousness (ICC 0.80, 95% CI 0.720.86) were associated with higher ICCs compared to athletes without these variables. Female athletes demonstrated higher self-report consistency (ICC 0.82, 95% CI 0.79-0.85) compared to male athletes (ICC 0.72, 95% CI 0.68-0.76). Differences in the classification of RepDev according to sex and sport were found to be significant (x2=77.6, df=56, p=0.03). The sports with the highest consistency were Women’s Tennis, Men’s Diving, and Men’s Tennis with 100% consistency between academic years. Sports with the lowest consistency were Women’s Gymnastics (69%), Men’s Lacrosse (70%), and Football (72%). 96 athletes had at least one study-only SRC in the previous year and 69 of those (71.9%) had a RepDevSO of 0 (ICC 0.673, 95% CI 0.64-0.71).

Approximately 40% of athletes do not consistently report their SRC history, potentially further complicating the clinical management of SRC. These findings encourage clinicians to be aware of factors which could influence the reliability of self-reported SRC history.

Adequate effort by examinees during neurocognitive testing is a prerequisite to valid interpretation of test results. Utilizing performance validity tests (PVTs) is strongly recommended within pediatric mild Traumatic Brain Injury (mTBI) populations. PVTs have historically been created based on majority-white and monolingual groups; investigating their validity in additional patient populations remains essential. The Automatized Sequencing Task (AST) was developed as a brief validity measure within mTBI youth (Kirkwood, et.al., 2014). This study aimed to examine the clinical utility of the AST among youth identifying as Hispanic/Latino and/or bilingual within a mTBI clinical sample.

Participants ages 8-17 (N=103, M age=14.08, SD=2.2, 51.5% male, 42.7% Hispanic/Latino, 23.6% bilingual) were drawn from an outpatient mTBI/concussion program within the past 2.6 years. Median time of evaluation since injury was 3.7 weeks. Eligibility criteria included: 1) evaluated for a mTBI (GCS . 13) and 2) 8 through 17 years of age. Language status included English only and English-Spanish bilingual youth. Of the bilingual youth, 95% were considered English dominant. Youth were timed while reciting four well-learned (i.e., automatized) sequences as rapidly as possible: 1) the alphabet, 2) counting from 1-20, 3) the days of the week, and 4) the months of the year. Pass rates for the AST were examined using chi-square tests to compare performance based on ethnic/cultural identity (Hispanic vs Non-Hispanic), language status, age (children 8-12; teens 13-17), and gender.

In the clinical sample, 11.7% (n=12) could not complete AST months; 75% of non-completers were Hispanic/Latino. Participants who identified as Hispanic/Latino compared to Non-Hispanic/Latino participants were significantly more likely to fail the 4-item AST, χ2(1) =4.3, p<.05. The odds of failing the 4-item AST was 2.3 times higher if patients identified as Hispanic/Latino. Further, patients identifying as bilingual were even more likely to fail the 4-item AST, χ2(1) =4.5, p<.05. The odds of failing the 4-item AST was 3.0 times higher if patients were bilingual. There were no ethnicity or bilingual group differences in AST failure when examining performance on the 3-item AST. Neither age nor gender were a significant predictor of failure on the 3-item or 4-item AST.

Results suggest that the month item on the AST does not function consistently across Hispanic/Latino and bilingual youth. It cannot be presumed to be ‘automatic’ as a significant number of Hispanic/Latino and/or bilingual patients were unable to complete the month item, but with otherwise intact performance on the first three items. Administering only the first three items on the AST appears to be a more culturally sensitive alternative given the increased odds of 4-item failure in Hispanic/Latino and bilingual youth. Additional research is needed to explore the predictive validity of the AST as a PVT in varying ethnic, culturally, linguistically, and socioeconomically diverse mTBI pediatric populations.

mTBI is trauma to the brain due to a blow or other mechanical force affecting the head. Prior research has established that common symptoms of mTBI include decreased sleep quality and onset/worsening of emotional dysregulation. However, there is little published research investigating how sleep disruption and depressive symptoms are experienced at varying stages of mTBI. We hypothesized that sleep disruption would change with differing time since injury, and that depressive symptoms should accordingly. Additionally, since females tend to have higher rates of depression, we predicted that there would be a significant difference between the sexes at different stages post-mTBI.

This study included 145 healthy adults, split into six groups, comparing healthy controls consisting of 15 males (Mage=23.67, SD=5.066) and 17 females (Mage=25.35, SD=7.035) to individuals who had mTBI, 41 males (Mage=26.88, SD=8.509) and 72 females (Mage=23.79, SD=6.898) at five points post-mTBI: 2 weeks and 1, 3, 6, and 12 months. The Pittsburgh Sleep Quality Index (PSQI) global score was used to assess individual sleep quality and disturbances; higher scores indicated poorer sleep quality. The Beck Depression Index (BDI-II) was used to assess characteristics and symptoms of depression. We adjusted the score to exclude item 16, which measures changes in sleep. Higher scores indicate more severe depressive symptoms. We conducted a multivariate analysis of variance and Pearson correlation to examine whether there were significant differences in sleep and depression at different stages of mTBI for each sex.

We discovered that sleep quality was worse at chronic stages of mTBI (i.e, 12M, p=<.001), than at acute stages (2W, p=.049), and compared to healthy controls. There were also significant differences in depression scores compared to healthy controls at 2W, p=.008, 3M, p=<.001, and 6M, p=.012, but not 12M, p=.313, suggesting that depressive symptoms resolved by 12M in those with mTBI. To explain this, we investigated sex differences, as males tend to experience fewer depressive disorders than females. However, females reported fewer depressive symptoms than males at chronic stages of mTBI. This finding was not statistically significant as females had a Mbdi_total=6.84, SD=7.98 and males had a Mbdi_total=5.38, SD=6.078; still, this could be due to the low statistical power of the study, and with a larger sample size, could produce statistically significant differences between the sexes. Despite this, there is a statistically significant difference in the depression score for females between 2W and 12M post-mTBI (p=.046; effect size of d=.99). Comparatively, males showed no significant divergence between depression and sleep scores.

Sleep disruption and depressive symptoms were correlated in individuals with mTBI in both acute and chronic stages; however, at 12M, there was a decrease in this correlation due to females exhibiting fewer depressive symptoms in combination with greater sleep disruption in the chronic phase of mTBI. Further research investigating the relationship between depression and sleep quality by looking at females with a much larger sample size would be helpful in clarifying these associations.

Virtual testing can reduce cost and burdens, as well as increase access to clinical care. Few studies have examined the equivalency of virtual and in-person administration of standardized measures of executive functioning in children. During the COVID-19 pandemic, we utilized virtual administration of the Delis-Kaplan Executive Function System, Color-Word Interference Test (DKEFS-CW) in our ongoing longitudinal research study exploring outcomes in children clinically recovered from concussion compared to never-concussed peers. In the current study, we explore the equivalence of scores obtained via in-person and virtual administration of the DKEFS-CW in youth recovered from concussion and never-concussed controls.

Participants included 112 youth ages 10-18 (Mage=14.05 years, SD=2.296; 53.5 % Male) who completed the DKEFS-CW in-person (n=63) or virtually (n=49) as part of their involvement in the parent study. Of these, 38 were recovered from concussion (Mdays since injury— 91.21, SD=88.91), and 74 were never-injured controls. Virtual administration was done via Zoom by presenting digital scans of the DKEFS stimulus book using the screen-sharing function. Participants set up and joined the Zoom call from a secondary device (cell phone) that was set in a stable position to provide a view of their screen, mouse and keyboard setup. Group (in-person vs remote) differences in DKEFS-CW scores were examined using independent-samples t-tests for all subtest conditions (color naming, word reading, inhibition, and inhibition/switching). T-tests/chi-square tests were used to examine between-group differences in demographic variables (i.e., age, sex maternal education, IQ, concussion history). Demographic variables that were significantly different by group were then included as covariates in ANCOVA models examining the effect of administration context on performance.

There were no significant differences in DKEFS-CW scaled scores between those who were administered the measure in-person or virtually (Color Naming: Min-person=10.78, Mvirtual=10.08, t(110)=1.634, p=.105; Word Reading: Min-person=11.25, Mvirtual=10.92, t(110)=.877, p=.382; Inhibition: M in-person= 11.70, Mvirtual=11.24, t(110)=1.182, p=.240; Inhibition/Switching: Mi n-person= 11.29, Mvirtual=10.82, t(110)=1.114, p=.268). There were no significant between-group differences in concussion history, sex, maternal education or IQ. However, those who were administered the DKEFS-CW in-person (Mage=13.55) were significantly younger than those who were administered the measure virtually (Mage=14.69), t(110)=-2.777, p=.006. After controlling for age, there remained no significant relationship between administration context (in-person vs. virtual) and DKEFS-CW performance for any subtest condition (Color Naming: F(1,30)=.016, p=.889; Word Reading: F(1,76)=.655, p=.421; Inhibition: F(1,30)=.038, p=.847; Inhibition/Switching: F(1,30)=.015, p=.902).

The recommended practice for remote administration of DKEFS-CW is to have test stimuli presented flat on a table by a trained facilitator present with the examinees. Here, we provide preliminary evidence of equivalence between DKEFS-CW scores from tests completed in-person and those completed virtually with stimuli presented on a computer screen. Future studies are needed to replicate these findings in clinical populations with greater variability in executive function. Some clinical populations may also require more in-person support. Likewise, future studies may examine the role of trained facilitators or caregivers in the virtual testing process.

Goal-Oriented Attentional Self-Regulation (GOALS) is a cognitive rehabilitation training that targets difficulties with executive control functions. Prior research has found that GOALS training improves executive function, functional outcomes, and PTSD symptoms in Veterans with comorbid PTSD and TBI. The objective of this study is to assess the effects of GOALS training versus an active time-matched Behavioral Health Education (BHE) intervention in military Veterans with history of mTBI and executive function difficulties.

Thirty-four veterans with a history of mild TBI (>6 months post-injury) and cognitive difficulties were randomized to GOALS or BHE group intervention. GOALS is a cognitive rehabilitation intervention that incorporates mindfulness-based attention regulation training, and goal management strategies applied to participant-defined goals. It consists of ten 2-hour sessions administered in small group format, and three individual 1-hour sessions. The BHE group is a matched control condition that mirrors GOALS in terms of duration and level of involvement. Participants completed a comprehensive evaluation consisting of neuropsychological and ecologically valid functional performance measures of complex attention and executive function, before and after GOALS or BHE intervention. Overall neuropsychological attention/executive functioning included measures of working memory (Letter Number Sequencing, Auditory Consonant Trigrams), mental flexibility (Design & Verbal Fluency Switching, Trails B, Stroop Inhibition/Switching), inhibition (Stroop Inhibition), and sustained attention (Digit Vigilance). The Goal Processing Scale (GPS) was used to measure ecologically valid complex functional performance.

Post GOALS training, but not post BHE, participants significantly improved on measures of attention /executive function including overall performance (p=.02), working memory (p=.04), sustained attention (p=.03)., and inhibition (p=.01). On measures of complex functional task performance, post GOALS participants significantly improved in the domain of planning (p=.02).

GOALS training improved performance on neuropsychological and ecologically valid functional measures of complex attention and executive function in Veterans with mild TBI and cognitive difficulties. The current study highlights how mindfulness-based attention regulation and goalmanagement strategies applied to personal goals has positive effects across various outcomes. A percentage of individuals with mTBI continue to report persistent problems with cognition and daily functioning. Cognitive rehabilitation training such as GOALS may be beneficial for those with persistent difficulties following mTBI, even in chronic phase.

Construction of predictive algorithms of concussion symptom recovery at 4 and 12 weeks post-injury using an evidence-based assessment (EBA) model to guide clinical decision-making, extending the 2016 5P decision rule.

Children and adolescents, ages 8-18 (n=1,551; mean age=12.78; 62% male), followed over 12 weeks in the prospective multicenter cohort study (Predicting Persistent Post-Concussive Problems in Pediatrics, 5P; Zemek et al., 2016). The age-specific PostConcussion Symptom Inventory (PCSI) (8-12, 17 items; 1318 years, 20 items) was completed at six timepoints from the ED and at 1, 2, 4, 8, and 12-weeks post-injury. Logistic regression analysis was applied to the set of key variables including the PCSI Total Retrospective-Adjusted PostInjury Difference (RAPID) scores, patient demographics and pre-injury history, and injury characteristics to predict participant recovery status (Recovered, Not Recovered) at the 4- and 12-week endpoints. The resulting recovery-predictive equations identified the significant sets of variables with symptom scores at four successive post-injury timepoints (ED, 1, 2, 4 weeks). Logistic Regression Threshold values were established at the 90th CI against which individual patient data was applied to determine recovery status. Participants with sub-threshold sums were deemed recovered at the target endpoint (4- or 12-weeks post-injury).

A total of 19 predictive equations were generated for the two age groups across the recovery timeline. Four sets of equations were developed to predict symptom recovery status at 4-weeks post-injury for the two age groups (8-12 AUC=0.679-0.884; 13-18 AUC=0.752-0.909). Prediction of symptom recovery status at 12-weeks post-injury yielded six equations for the 8-12 age group (AUC=0.723-0.825), and five equations for the 13-18 age group (AUC=0.724-0.887). Total PCSI RAPID score was identified as a significant variable in each of these 19 equations. Participant sex was identified as significant in 18 of the 19 constructed equations. Other variables that were identified as significant at varying timepoints included age, pre-injury history of learning disability and migraines, and an early post-injury sign in the ED (answering questions more slowly than usual). Examples of the equations include: Week 1 predicting symptom recovery status at 4-weeks: 8-12 yr group-(Sex*.802)+(week 1 Total RAPID Score*.142)+(Age2* .053)+(-3.851) with AUC=0.808; 13-18 yr group-(Sex*.980)+(Week 1 Total RAPID Score*.071)+(-3.261) with AUC=0.861.

Clinicians’ management of the concussion recovery of children and adolescents can benefit from EBA guidance. The 5P dataset (Zemek et al., 2016) provides an important window into “typical” and “atypical” recovery trajectories, establishing an initial predictive decision rule for a 4-week recovery endpoint, at the ED timepoint only, reporting AUC=0.69. The current study extends the prediction modeling using successive post-injury timepoints reflecting a typical management timeline. Symptom reports from both 1- and 2-weeks post injury with patient demographics/ history predicted symptom recovery status at 4- and 12-weeks post-injury, significantly improve predictive accuracy over the ED timepoint alone. These predictive equations, when applied to the individual patient, can serve to assist the clinician’s understanding of the patients’ recovery trajectory, i.e., on track for a typical or atypical recovery, further informing the intervention strategy.

Neuropsychological assessment is the cornerstone of concussion management, and the nature of its delivery can vary widely. While literature concerning post-concussion care typically revolves around in-person evaluation, the proliferation of computerized neuropsychological tests (CNTs) has allowed for some distance between concussion patients and the neuropsychologist. In the wake of a global pandemic, several papers describing the use of telehealth for concussion care have emerged; however, the small samples found in these studies may suggest that access to care remains an issue. Additionally, telehealth may not be a sustainable fee-for-service approach as CMS aims to curtail telehealth reimbursement for behavioral health clinicians. The objective of the present study is to describe a remote neuropsychological consultation model of concussion management and evaluate its productivity and impact in a rural setting.

In this model, a neuropsychologist based at an academic medical center in the northeastern United States consulted to middle school, high school, and collegiate concussion management programs. Students typically were administered baseline ImPACT tests prior to participation in sports, and all students in the current sample completed post-injury ImPACT tests as part of return to play protocols. The neuropsychologist read test results through the test’s online portal, then communicated interpretation and recommendations via email or phone to the school’s representative (e.g., athletic trainer, athletic director, or school nurse). 837 unique concussions were recorded between 2019 and 2022. After removing abnormal cases (e.g., COVID-19 school closures, extended college breaks, non-concussions, and non-return to play decisions), 790 unique concussions (51.4% male) were included for analysis, with a mean age of 16.84 years (SD=2.17). Descriptive statistics were used to characterize the sample.

Across 790 unique concussions, 7 were middle school, 571 were high school, and 212 were college students. 1,750 total postinjury ImPACT tests were administered over the three-year period. Per concussion, an average of 2.22 (SD=0.90) tests were used. Average time to the last ImPACT given was 18.47 days (SD=16.59), with a median of 15 days. Ten concussions (1.27% of total concussions) occurred within 3 months of a previous injury. The distance between schools and the medical center ranged from 2.4 to 102 miles (M=60.29; SD=34.34).

The current study suggests that there is value in a remote model of neuropsychological consultation for concussion management. While telehealth offers a promising method of evaluation for concussion, it may be inaccessible and present reimbursement challenges. The remote consultation model described here increases access to care by eliminating in-person visits, which decreases demand for physical space at medical centers and increases access to rural populations with seemingly no negative effect on care. This consultation model also allows neuropsychologists working in concussion management more flexibility, potentially increasing the volume of cases they can assess. This program evaluation suggests remote models have merit, but replication studies in different regions of the country are needed.

Previous studies have found differences between monolingual and bilingual athletes on ImPACT, the most widely used sport-related concussion (SRC) assessment measure. Most recently, results suggest that monolingual English-Speaking athletes outperformed bilingual English- and Spanish-speaking athletes on Visual Motor Speed and Reaction Time composites. Before further investigation of these differences can occur, measurement invariance of ImPACT must be established to ensure that differences are not attributable to measurement error. The current study aimed to 1) replicate a recently identified four-factor model using cognitive subtest scores of ImPACT on baseline assessments in monolingual English-Speaking athletes and bilingual English- and Spanish-speaking athletes and 2) to establish measurement invariance across groups.

Participants included high school athletes who were administered the ImPACT as part of their standard pre-season athletic training protocol in English. Participants were excluded if they had a self-reported history of concussion, Autism, ADHD, learning disability or treatment history of epilepsy/seizures, brain surgery, meningitis, psychiatric disorders, or substance/alcohol use. The final sample included 7,948 monolingual English-speaking athletes and 7,938 bilingual English- and Spanish-speaking athletes with valid baseline assessments. Language variables were based on self-report. As the number of monolingual athletes was substantially larger than the number of bilingual athletes, monolingual athletes were randomly selected from a larger sample to match the bilingual athletes on age, sex, and sport. Confirmatory factor analysis (CFA) was used to test competing models, including one-factor, two-factor, and three-factor models to determine if a recently identified four-factor model (Visual Memory, Visual Reaction Time, Verbal Memory, Working Memory) provided the best fit of the data. Eighteen subtest scores from ImPACT were used in the CFAs. Through increasingly restrictive multigroup CFAs (MGCFA), configural, metric, scalar, and residual levels of invariance were assessed by language group.

CFA indicated that the four-factor model provided the best fit in the monolingual and bilingual samples compared to competing models. However, some goodness-of-fit-statistics were below recommended cutoffs, and thus, post-hoc model modifications were made on a theoretical basis and by examination of modification indices. The modified four-factor model had adequate to superior fit and met criteria for all goodness-of-fit indices and was retained as the configural model to test measurement invariance across language groups. MGCFA revealed that residual invariance, the strictest level of invariance, was achieved across groups.

This study provides support for a modified four-factor model as estimating the latent structure of ImPACT cognitive scores in monolingual English-speaking and bilingual English- and Spanish-speaking high school athletes at baseline assessment. Results further suggest that differences between monolingual English-speaking and bilingual English- and Spanish-speaking athletes reported in prior ImPACT studies are not caused by measurement error. The reason for these differences remains unclear but are consistent with other studies suggesting monolingual advantages. Given the increase in bilingual individuals in the United States, and among high school athletics, future research should investigate other sources of error such as item bias and predictive validity to further understand if group differences reflect real differences between these athletes.

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.