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.

The COVID-19 pandemic created barriers to healthcare that necessitated changes in services to meet needs of individuals. With these changes, technological advances in computerized cognitive testing became critical. As researchers and clinicians accelerated adaptation of computerized testing formats, considerations for development and interpretation of such tools have proved imperative. One such computerized tool, RC21X, utilizes performance measurement software comprising 15 modules to evaluate an individual’s processing speed, memory, executive functions, and neuromotor coordination. Although initial data has revealed strong psychometric properties (Saganis et al., 2020), a need to explore various attributes of this web-based tool has emerged. The current study examined impact of dominant handedness on an RC21X neuromotor task.

The sample consisted of 602 participants: 553 (91.86%) were right-hand dominant and 49 (8.14%) were left-hand dominant. Of participants who identified their sex, 81.2% were male, 18.3% were female; 0.5% chose not to identify. Age ranged from 7-95 years (M = 41.21, SD = 18.81). This study focused on the RC21X Eye-Hand Coordination subtest. Using a Fitts’ Law paradigm, the module provided instruction for participants to alternately press the “A” and “L” keys on a keyboard as quickly and accurately as possible using only one upper extremity (UE) at a time (tested separately for right then left UE). We computed a one-way between groups multivariate analysis of variance (MANOVA) to investigate handedness differences on task performance. Dependent variables were individuals’ performances on right- and left-UE tasks; the independent variable was dominant handedness. We conducted preliminary assumption testing with no serious violations noted. We also separated the sample by dominant handedness to compare right versus left-hand performance using paired samples t-tests within each group. There were no significant differences between the two groups on either age or sex.

There was a statistically significant difference between right-hand dominant and left-hand dominant participants on the dependent variables, F (2, 599) = 8.84, p < .001, Wilks’ Lambda = .971. Mean scores indicated that right-hand dominant participants (M = 52.87, SD = 20.42) outperformed their left-hand dominant counterparts (M = 46.30, SD = 12.79) when using their right UE, though both groups performed similarly when using their left UE (right-hand dominant M = 48.55, SD = 17.81; left-hand dominant M = 49.70, SD = 14.13). These findings were present despite expected results from paired samples t-tests that revealed individuals performed best with their dominant hand.

Results revealed that handedness is necessary to consider in design and utilization of computerized neuropsychological tests. The large proportion of right-hand dominant individuals may have affected our results; however, our sample is representative of handedness distribution in the general population. Although our paired samples t-tests support validity of RC21X, continued investigation of computerized performance measurement tools is necessary. Future research must explore the possibility of an ordering effect (i.e., right-handed participants starting with their dominant UE, but left-handed participants starting with their nondominant UE) or due to construction of everyday items (e.g., computer keyboards) primarily for right-hand dominant people.

Victims of electrical injury (EI) often experience injuries to the peripheral nervous system and neuromuscular damage that may diminish motor function, such as flexibility/dexterity. These difficulties may continue after rehabilitation due to the reorganization of muscle afferent projections during peripheral nerve regeneration. Therefore, understanding how patients with a history of thermal burn injuries perform on motoric measures is necessary to explain the impact neuromuscular damage has on both motor and non-motor tests of cognition. However, no studies have examined the impact of motor functioning on cognition in patients who experienced thermal and electrical injuries compared to an electrical shock injury. This study explored the impact of motor dysfunction and psychiatric distress measured by depression severity on psychomotor speed and executive test performances among EI patients with and without thermal burn injuries.

This cross-sectional study consisted of EI patients undergoing an outpatient neuropsychological evaluation, including tests of motor dexterity (Grooved Pegboard [GP]), psychomotor speed (Wechsler Adult Intelligence Scale-IV Coding, Trail Making Test [TMT] Part A), and executive functioning (Stroop Color and Word Test [SCWT] Color-Word trial, TMT Part B). The sample was 83% male and 17% female, 88% White, 3% Black, 5% Hispanic, and 2% other race/ethnicity, with a mean age of 43.9 years (SD=11.36), mean education of 12.9 years (SD=2.05), and mean depression severity of 20.05 (SD=12.59) on the Beck Depression Inventory-II (BDI-II). Exclusion criteria were: 1) injury history of moderate-to-severe head trauma, 2) >2 performance validity test failures, and 3) any amputation of the upper extremity. Regression analyses included GP T-Scores for dominant hand and BDI-II total score as independent variables and neuropsychological normative test data as dependent variables.

Among validly performing patients with EI (n=86), regression analyses revealed GP performance accounted for significant variance (R2 =.153-.169) on all neuropsychological measures. Among EI patients with burn injuries (n=50), regression analyses revealed GP performance accounted for significant variance (R2 =.197-.266) on all neuropsychological measures. Among EI patients without burn injuries (n=36), analyses revealed that neither GP performance nor BDI-II severity accounted for significant variance across the neurocognitive tests (R2=.056-.142). Furthermore, among EI patients with burn injuries and the total sample, regression analyses revealed depression severity negatively predicted GP performance (R2 =.099-.13), however, in patients without burn injuries, depression did not predict GP performance (R2 =.052).

Overall, results showed that GP performance is a significant predictor of neurocognitive performance on both motor and non-motor measures in EI patients with burn injuries. Therefore, among EI patients with burn injuries, GP performance may have potential utility as an early indicator of injury severity, considering that it predicts neuropsychological test performance on measures of psychomotor speed and executive functioning. Lastly, depression predicted GP performance within the burn injury sample illustrating that psychological distress may negatively impact motor functionality.

Veterans from the 1991 Gulf War (GW) experienced several neurotoxicant exposures, including chemical weapons, pesticide sprays and creams, oil well fires and pyridostigmine bromide anti-nerve gas pills during the war. Research has shown these exposures to affect cognition and mood. Moreover, MR diffusion imaging has shown microstructural changes in the white matter that may be related to psychomotor slowing. Over a third of all GW veterans suffer from a chronic multi-symptom disorder called Gulf War Illness (GWI). The Kansas Criteria for GWI consists of six distinct criteria including symptoms of fatigue/sleep problems, pain symptoms, neurologic/cognitive/mood symptoms, gastrointestinal symptoms, respiratory symptoms, and skin symptoms. The Boston Gulf War Illness Consortium (GWIC) was a multi-site study designed to assess symptoms of GWI. After the conclusion of the GWIC study, the Boston Biorepository Recruitment and Integrative Network for Gulf War Illness (BBRAIN) was developed to harmonize retrospectively collected GW Veteran data while simultaneously collecting Time 2 data and samples from GW veterans who participated in the original study. This analysis includes the first 58 participants who have completed the GWIC study and the BBRAIN study.

We conducted a longitudinal analysis of cognitive outcomes from the BBRAIN data repository. Verbal learning, memory, attention, and executive functioning were assessed using neuropsychological tests including the Continuous Performance Test (CPT3), Trail Making Test A, Delis-Kaplan Executive Function System (DKEFS), California Verbal Learning Test (CVLT-II). A total of 58 participants were re-evaluated from the original GWIC cohort with a total of 47 cases and 11 controls. Paired t-tests for the cognitive measures were completed separately for GWI cases and healthy GW veteran controls for each of the neuropsychological test measures. Average time between assessments was four years.

The overall sample was on average 56 years old, 84% male and 75% White. The average level of education was 15 years. GWI cases showed significantly more commission errors and slower reaction times on the CPT3 at Time 2 compared to Time 1 (p < 0.05). Cases also showed a slowing in time to completion on Trails A at the second time point (p<0.05). On the other hand, controls only showed significantly slower reaction times on the CPT3 at Time 2 (p<0.05).

These results showed that veterans with GWI are showing more decline over time in cognitive functioning particularly on psychomotor slowing and impulsivity than control veterans. It is important to document illness trajectories for veterans with GWI in order to devise strategies for interventions and treatments. The importance of studying longitudinal cohorts is to document changes in the same individuals over time. The next steps are to assess if this accelerated aging develops into neurodegenerative conditions by using brain imaging and other biomarkers in addition to cognitive evaluations. This could identify individuals who should be the focus of targeted treatment strategies while there is still time to intervene.