Butts, Alissa M.

Background: The hippocampus and temporal lobe are atrophic in typical amnestic Alzheimer’s disease (tAD) and are used as imaging biomarkers in treatment trials. However, a better understanding of how temporal structures differ across atypical AD phenotypes and relate to cognition is needed. Objective: Our goal was to compare temporal lobe regions between tAD and two atypical AD phenotypes (logopenic progressive aphasia (LPA) and posterior cortical atrophy (PCA)), and assess cognitive associations. Methods: We age and gender-matched 77 tAD participants to 50 LPA and 27 PCA participants, all of which were amyloid-positive. We used linear mixed-effects models to compare FreeSurfer-derived hippocampal volumes and cortical thickness of entorhinal, inferior and middle temporal, and fusiform gyri, and to assess relationships between imaging and memory, naming, and visuospatial function across and within AD phenotype. Results: Hippocampal volume and entorhinal thickness were smaller bilaterally in tAD than LPA and PCA. PCA showed greater right inferior temporal and bilateral fusiform thinning and LPA showed greater left middle and inferior temporal and left fusiform thinning. Atypical AD phenotypes differed with greater right hemisphere thinning in PCA and greater left hemisphere thinning in LPA. Verbal and visual memory related most strongly to hippocampal volume; naming related to left temporal thickness; and visuospatial related to bilateral fusiform thickness. Fewer associations remained when examined within AD group. Conclusion: Atypical AD phenotypes are associated with greater thinning of lateral temporal structures, with relative sparing of medial temporal lobe, compared to tAD. These findings may have implications for future clinical trials in AD.

This study examined the rate of producing alternating motion rates, sequential motion rates (SMRs), and repeated words in 27 individuals with the semantic variant of Primary Progressive Aphasia (svPPA). Only the rate of producing SMRs was significantly elevated in svPPA compared to controls. This may be associated with concomitant neuropsychiatric symptoms in svPPA, as correlation analysis showed a relationship between increased SMR rate and the Neuropsychiatric Inventory Questionnaire, which documented anxiety and disinhibition. Future studies will assess these findings in a larger cohort and work to better understand if this phenomenon is a manifestation of behavioral and/or motor changes.

Abstract Background Cognitive function is an important outcome in brain-tumor clinical trials. Cognitive examiners are often needed across multiple sites, many of whom have no prior testing experience. To ensure quality, we looked at examiner errors in administering a commonly used cognitive test battery, determined whether the errors were correctable upon central review, and considered whether the same errors would be detected using onsite electronic data entry. Methods We looked at 500 cognitive exams administered for brain-tumor trials led by the Alliance for Clinical Trials in Oncology (Alliance). Of 2277 tests examined, 32 noncorrectable errors were detected with routine central review (1.4% of tests administered), and thus removed from the database of the respective trial. The invalidation rate for each test was 0.8% for each part of the Hopkins Verbal Learning Test-Revised, 0.8% for Controlled Oral Word Association, 1.8% for Trail Making Test-A and 2.6% for Trail Making Test-B. It was estimated that, with onsite data entry and no central review, 4.9% of the tests entered would have uncorrected errors and 1.3% of entered tests would be frankly invalid but not removed. Conclusions Cognitive test results are useful and robust outcome measures for brain-tumor clinical trials. Error rates are extremely low, and almost all are correctable with central review of scoring, which is easy to accomplish. We caution that many errors could be missed if onsite electronic entry is utilized instead of central review, and it would be important to mitigate the risk of invalid scores being entered. ClinicalTrials.gov identifiers NCT01781468 (Alliance A221101), NCT01372774 (NCCTG N107C), NCT00731731 (NCCTG N0874), and NCT00887146 (NCCTG N0577).

2067 Background: An estimated 2% of the general population has a meningioma (Vernooij et al. 2007), which accounts for about 36% of all primary intracranial tumors (Ostrom et al. 2015). The most established risk factors are older age and female gender. One small study identified gender but no other risk factors with meningioma (Krampla et al 2004). A larger study using the Iowa Women’s Health study data found lower levels of physical activity, greater body mass index (BMI), greater height and uterine fibroids were associated with meningioma (Johnson et al. 2011). We sought to replicate these findings and to identify additional risk factors related to meningioma in a large population-based sample. Methods: Study participants were enrolled in the Mayo Clinic Study of Aging (MCSA), a population-based sample of Olmsted County, Minnesota residents used to study prevalence, incidence, and risk-factors for Mild Cognitive Impairment and dementia and includes a variety of medical factors. Using a text search of radiologists’ notes of 2,402 MCSA individuals, mean age 77±8 years and scanned between 2004-2014.We identified 52 subjects who had at least one meningioma. We estimated the association of selected potential risk factors with presence of meningioma using odds ratios and 95% confidence intervals from logistic regression models adjusted for age and gender, which informed the multivariable models. Results: In the initial models, significant risk factors identified included BMI (as a continuous variable) (OR = 1.06 95%CI 1.01 to 1.12), taking NSAIDS (OR = 2.11, 95%CI 1.13 to 3.95), aspirin (OR = 1.90, 95%CI 1.04 to 3.46), and blood pressure lowering medication (OR = 2.06, 95%CI 1.07 to 3.99). Protective factors included male gender (OR = 0.51, 95%CI 0.29 to 0.90), coronary artery disease (CAD; OR = 0.46, 95%CI 0.22 to 0.97) and higher Beck Anxiety Inventory (BAI) total score (OR = 0.88, 95%CI 0.78 to 0.98). Simultaneous adjustment for these factors in a multivariable model did not attenuate these associations. Conclusions: Findings reveal gender and BMI as risk factors for meningioma. Additionally, certain medications such as NSAIDS and BP lowering medications warrant follow up as potential factors related to development of meningioma.