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Item Associating persistent self-reported cognitive decline with neurocognitive decline in older breast cancer survivors using machine learning: The Thinking and Living with Cancer study(Elsevier, 2022-11) Van Dyk, Kathleen; Ahn, Jaeil; Zhou, Xingtao; Zhai, Wanting; Ahles, Tim A.; Bethea, Traci N.; Carroll, Judith E.; Cohen, Harvey Jay; Dilawari, Asma A.; Graham, Deena; Jacobsen, Paul B.; Jim, Heather; McDonald, Brenna C.; Nakamura, Zev M.; Patel, Sunita K.; Rentscher, Kelly E.; Saykin, Andrew J.; Small, Brent J.; Mandelblatt, Jeanne S.; Root, James C.; Radiology and Imaging Sciences, School of MedicineIntroduction: Many cancer survivors report cognitive problems following diagnosis and treatment. However, the clinical significance of patient-reported cognitive symptoms early in survivorship can be unclear. We used a machine learning approach to determine the association of persistent self-reported cognitive symptoms two years after diagnosis and neurocognitive test performance in a prospective cohort of older breast cancer survivors. Materials and Methods: We enrolled breast cancer survivors with non-metastatic disease (n=435) and age- and education-matched non-cancer controls (n=441) between August 2010 and December 2017 and followed until January 2020; we excluded women with neurological disease and all women passed a cognitive screen at enrollment. Women completed the FACT-Cog Perceived Cognitive Impairment (PCI) scale and neurocognitive tests of attention, processing speed, executive function, learning, memory and visuospatial ability, and timed activities of daily living assessments at enrollment (pre-systemic treatment) and annually to 24 months, for a total of 59 individual neurocognitive measures. We defined persistent self-reported cognitive decline as clinically meaningful decline (3.7+ points) on the PCI scale from enrollment to twelve months with persistence to 24 months. Analysis used four machine learning models based on data for change scores (baseline to twelve months) on the 59 neurocognitive measures and measures of depression, anxiety, and fatigue to determine a set of variables that distinguished the 24-month persistent cognitive decline group from non-cancer controls or from survivors without decline. Results: The sample of survivors and controls ranged in age from were ages 60–89. Thirty-three percent of survivors had self-reported cognitive decline at twelve months and two-thirds continued to have persistent decline to 24 months (n=60). Least Absolute Shrinkage and Selection Operator (LASSO) models distinguished survivors with persistent self-reported declines from controls (AUC=0.736) and survivors without decline (n=147; AUC=0.744). The variables that separated groups were predominantly neurocognitive test performance change scores, including declines in list learning, verbal fluency, and attention measures. Discussion: Machine learning may be useful to further our understanding of cancer-related cognitive decline. Our results suggest that persistent self-reported cognitive problems among older women with breast cancer are associated with a constellation of mild neurocognitive changes warranting clinical attention.Item Convergent and discriminant validity of the ImPACT with traditional neuropsychological measures(Taylor & Francis, 2018) Thoma, Robert J.; Cook, Julia A.; McGrew, Christopher; King, John H.; Pulsipher, Dalin T.; Yeo, Ronald A.; Monnig, Mollie A.; Mayer, Andrew; Pommy, Jessica; Campbell, Richard A.; Surgery, School of MedicineNeuropsychological assessment of cognitive sequelae secondary to sports concussion is limited by lengthy administration times and lack of readily available neuropsychologists. Brief computerized test batteries are now under development to address this, but the validity of these measures is not yet established. The validity of one such computerized test battery, the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT), was administered to 93 healthy NCAA Division I athletes, aged 18–24, along with a battery of traditional, well-described neuropsychological tests. Convergent and discriminant validity between the ImPACT and traditional measures was investigated using multitrait-multimethod matrix (MTMM) analysis. As an example, the ImPACT Visual Motor Speed composite demonstrated reasonably good convergent validity secondary to moderate correlations with traditional measures of processing speed, but it demonstrated relatively poor discriminant validity as it significantly correlated with the Reaction Time composite score. MTMM results were variable across ImPACT composites and data for each are presented. The ImPACT composite’s validity was further investigated using exploratory factor analysis (EFA). Six principal components were termed processing speed, visual memory, verbal memory, attention & working memory, and verbal fluency, based upon traditional test loadings, and a sixth loaded only on the ImPACT Reaction Time composite. EFA indicated content validity of moderate strength for the Visual Motor Speed and Visual Memory composites, but revealed problems with specificity for the other composites. Based upon the present findings, validity problems render the interpretability of the ImPACT composites somewhat questionable, and more research is necessary prior to using the ImPACT for assessment of clinical populations.Item Examining the role of repeated test exposure over 12 months across ADNI protocols(Wiley, 2022) Hammers, Dustin B.; Duff, Kevin; Apostolova, Liana G.; Alzheimer's Disease Neuroimaging Initiative; Neurology, School of MedicineObjective: Changes to study protocols during longitudinal research may alter cognitive testing schedules over time. Unlike in prior Alzheimer's Disease Neuroimaging Initiative (ADNI) protocols, where testing occurred twice annually, participants enrolled in the ADNI-3 are no longer exposed to cognitive materials at 6 months. This may affect their 12-month performance relative to earlier ADNI cohorts, and potentially confounds data harmonization attempts between earlier and later ADNI protocols. Method: Using data from participants enrolled across multiple ADNI protocols, this study investigated whether test exposure during 6-month cognitive evaluation influenced scores on subsequent 12-month evaluation. Results: No interaction effects were observed between test exposure group and time at 12 months on cognitive performance. No improvements, and limited declines, were seen between baseline and 12-month follow-up scores on most measures. Conclusions: The 6-month testing session had minimal impact on 12-month performance in ADNI. Collapsing longitudinal data across ADNI protocols in future research appears appropriate.Item The Non-Credible Score of the Rey Auditory Verbal Leaming Test: Is It Better at Predicting Non-Credible Neuropsychological Test Performance Than the RAVLT Recognition Score?(Oxford, 2015-03) Whitney, Kriscinda A.; Davis, Jeremy J.; Department of Psychiatry, IU School of MedicineThe ability of both the non-credible score of the Rey Auditory Verbal Learning Test (RAVLT NC) and the recognition score of the RAVLT (RAVLT Recog) to predict credible versus non-credible neuropsychological test performance was examined. Credible versus non-credible group membership was determined according to diagnostic criteria with consideration of performance on two stand-alone performance validity tests. Findings from this retrospective data analysis of outpatients seen for neuropsychological testing within a Veterans Affairs Medical Center (N = 175) showed that RAVLT Recog demonstrated better classification accuracy than RAVLT NC in predicting credible versus non-credible neuropsychological test performance. Specifically, an RAVLT Recog cutoff of ≤9 resulted in reasonable sensitivity (48%) and acceptable specificity (91%) in predicting non-credible neuropsychological test performance. Implications for clinical practice are discussed. Note: The views contained here within are those of the authors and not representative of the institutions with which they are associated.