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Background and Purpose Traumatic brain injury (TBI) can lead to movement and balance deficits. In addition to physical therapy, brain‐based neurorehabilitation efforts have begun to show promise in improving these deficits. The present study investigated the effectiveness of translingual neural stimulation (TLNS) on patients with mild‐to‐moderate TBI (mmTBI) and related brain connectivity using a resting‐state functional connectivity (RSFC) approach. Methods Resting‐state images with 5‐min on GE750 3T scanner were acquired from nine participants with mmTBI. Paired t‐test was used for calculating changes in RSFC and behavioral scores before and after the TLNS intervention. The balance and movement performances related to mmTBI were evaluated by Sensory Organization Test (SOT) and Dynamic Gait Index (DGI). Results Compared to pre‐TLNS intervention, significant behavioral changes in SOT and DGI were observed. The analysis revealed increased RSFC between the left postcentral gyrus and left inferior parietal lobule and left Brodmann Area 40, as well as the increased RSFC between the right culmen and right declive, indicating changes due to TLNS treatment. However, there were no correlations between the sensory/somatomotor (or visual or cerebellar) network and SOT/DGI behavioral performance. Conclusions Although the limited sample size may have led to lack of significant correlations with functional assessments, these results provide preliminary evidence that TLNS in conjunction with physical therapy can induce brain plasticity in TBI patients with balance and movement deficits.

Background and ObjectivesHepatitis E virus (HEV) is an underrecognized and emerging infectious disease that may threaten the safety of donor blood supply in many parts of the world. We sought to elucidate whether our local community blood supply is at increased susceptibility for transmission of transfusion‐associated HEV infections.Materials and MethodsWe screened 10,002 randomly selected donations over an 8‐month period between 2017 and 2018 at the Stanford Blood Center for markers of HEV infection using commercial IgM/IgG serological tests and reverse transcriptase quantitative polymerase chain reaction assays (RT‐qPCR). Donor demographic information, including gender, age, self‐identified ethnicity, location of residence and recent travel, were obtained from the donor database and used to generate multivariate binary logistic regressions for risk factors of IgG seropositivity.ResultsA total of 10,002 blood donations from 7507 unique donors were screened, and there was no detectable HEV RNA by RT‐qPCR. The overall seropositivity rate was 12.1% for IgG and 0.56% for IgM. Multivariate analysis of unique donors revealed a significantly higher risk of IgG seropositivity with increasing age, White/Asian ethnicities and residence in certain local counties.ConclusionAlthough HEV IgG seroprevalence in the San Francisco Bay Area is consistent with ongoing infection, the screening of a large donor population did not identify any viraemic blood donors. While HEV is an underrecognized and emerging infection in other regions, there is no evidence to support routine blood screening for HEV in our local blood supply currently; however, periodic monitoring may still be required to assess the ongoing risk.

Temporal lobe epilepsy (TLE) is the most common epilepsy syndrome that empirically represents a network disorder, which makes graph theory (GT) a practical approach to understand it. Multi-shell diffusion-weighted imaging (DWI) was obtained from 89 TLE and 50 controls. GT measures extracted from harmonized DWI matrices were used as factors in a support vector machine (SVM) analysis to discriminate between groups, and in a k-means algorithm to find intrinsic structural phenotypes within TLE. SVM was able to predict group membership (mean accuracy = 0.70, area under the curve (AUC) = 0.747, Brier score (BS) = 0.264) using 10-fold cross-validation. In addition, k-means clustering identified 2 TLE clusters: 1 similar to controls, and 1 dissimilar. Clusters were significantly different in their distribution of cognitive phenotypes, with the Dissimilar cluster containing the majority of TLE with cognitive impairment (χ2 = 6.641, P = 0.036). In addition, cluster membership showed significant correlations between GT measures and clinical variables. Given that SVM classification seemed driven by the Dissimilar cluster, SVM analysis was repeated to classify Dissimilar versus Similar + Controls with a mean accuracy of 0.91 (AUC = 0.957, BS = 0.189). Altogether, the pattern of results shows that GT measures based on connectome DWI could be significant factors in the search for clinical and neurobehavioral biomarkers in TLE.

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ObjectiveSocial determinants of health, including the effects of neighborhood disadvantage, impact epilepsy prevalence, treatment, and outcomes. This study characterized the association between aberrant white matter connectivity in temporal lobe epilepsy (TLE) and disadvantage using a US census‐based neighborhood disadvantage metric, the Area Deprivation Index (ADI), derived from measures of income, education, employment, and housing quality.MethodsParticipants including 74 TLE patients (47 male, mean age = 39.2 years) and 45 healthy controls (27 male, mean age = 31.9 years) from the Epilepsy Connectome Project were classified into ADI‐defined low and high disadvantage groups. Graph theoretic metrics were applied to multishell connectome diffusion‐weighted imaging (DWI) measurements to derive 162 × 162 structural connectivity matrices (SCMs). The SCMs were harmonized using neuroCombat to account for interscanner differences. Threshold‐free network‐based statistics were used for analysis, and findings were correlated with ADI quintile metrics. A decrease in cross‐sectional area (CSA) indicates reduced white matter integrity.ResultsSex‐ and age‐adjusted CSA in TLE groups was significantly reduced compared to controls regardless of disadvantage status, revealing discrete aberrant white matter tract connectivity abnormalities in addition to apparent differences in graph measures of connectivity and network‐based statistics. When comparing broadly defined disadvantaged TLE groups, differences were at trend level. Sensitivity analyses of ADI quintile extremes revealed significantly lower CSA in the most compared to least disadvantaged TLE group.SignificanceOur findings demonstrate (1) the general impact of TLE on DWI connectome status is larger than the association with neighborhood disadvantage; however, (2) neighborhood disadvantage, indexed by ADI, revealed modest relationships with white matter structure and integrity on sensitivity analysis in TLE. Further studies are needed to explore this relationship and determine whether the white matter relationship with ADI is driven by social drift or environmental influences on brain development. Understanding the etiology and course of the disadvantage–brain integrity relationship may serve to inform care, management, and policy for patients.

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Background: A Chance fracture is a traumatic fracture of the thoracic or lumbar spine that occurs secondary to a flexion-distraction injury. Although patients with chance fractures rarely present with neurologic deficits, a subset may become symptomatic from spinal epidural hematomas (SEH) warranting emergent decompressive surgery. Case Description: An 87-year-old female on anticoagulation presented with a T1 Chance fracture after a fall. She was originally neurologically intact, but became paraplegic over the next 10 h. When the cervical/thoracic magnetic resonance revealed a SEH markedly compressing the cord between the C7-T1 levels, she underwent an emergent decompression; she also had a C5-T4 instrumented fusion. Postoperatively, she regained lower limb function, but expired on postoperative day 5 due to respiratory complications likely attributed to the prolonged surgery for the spinal instrumentation. Conclusion: Delayed SEH rarely occur following spinal Chance fractures. Here, an 87-year-old female on anticoagulation developed the 10-h delayed onset of a SEH with paraplegia attributed to a T1 Chance fracture at the C7-T1 level. Although she regained neurological function following the emergent decompression, she expired 5 days later likely due to the extended operative time/blood loss from the C5-T4 fusion that could have been avoided.