Merilee Teylan

Version 3 of the Alzheimer Disease Centers’ Neuropsychological Test Battery in the Uniform Data Set (UDS)

Introduction: The neuropsychological battery of the Uniform Data Set (UDSNB) was implemented in 2005 by the National Institute on Aging (NIA) Alzheimer Disease Centers program to measure cognitive performance in dementia and mild cognitive impairment due to Alzheimer Disease. This paper describes a revision, the UDSNB 3.0. Methods: The Neuropsychology Work Group of the NIA Clinical Task Force recommended revisions through a process of due diligence to address shortcomings of the original battery. The UDSNB 3.0 covers episodic memory, processing speed, executive function, language, and constructional ability. Data from 3602 cognitively normal participants in the National Alzheimer Coordinating Center database were analyzed. Results: Descriptive statistics are presented. Multivariable linear regression analyses demonstrated score differences by age, sex, and education and were also used to create a normative calculator available online. Discussion: The UDSNB 3.0 neuropsychological battery provides a valuable non proprietary resource for conducting research on cognitive aging and dementia.

FEV 1 and FVC and systemic inflammation in a spinal cord injury cohort

BackgroundSystemic inflammation has been associated with reduced pulmonary function in individuals with and without chronic medical conditions. Individuals with chronic spinal cord injury (SCI) have clinical characteristics that promote systemic inflammation and also have reduced pulmonary function. We sought to assess the associations between biomarkers of systemic inflammation with pulmonary function in a chronic SCI cohort, adjusting for other potential confounding factors.MethodsParticipants (nxa0=xa0311) provided a blood sample, completed a respiratory health questionnaire, and underwent spirometry. Linear regression methods were used to assess cross-sectional associations between plasma C-reactive protein (CRP) and interleukin-6 (IL-6) with forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and FEV1/FVC.ResultsThere were statistically significant inverse relationships between plasma CRP and IL-6 assessed in quartiles or continuously with FEV1 and FVC. In fully adjusted models, each interquartile range (5.91xa0mg/L) increase in CRP was associated with a significant decrease in FEV1 (−55.85xa0ml; 95% CI: -89.21, −22.49) and decrease in FVC (−65.50xa0ml; 95% CI: -106.61, −24.60). There were similar significant findings for IL-6. There were no statistically significant associations observed with FEV1/FVC.ConclusionPlasma CRP and IL-6 in individuals with chronic SCI are inversely associated with FEV1 and FVC, independent of SCI level and severity of injury, BMI, and other covariates. This finding suggests that systemic inflammation associated with chronic SCI may contribute to reduced pulmonary function.

The Revised National Alzheimer’s Coordinating Center’s Neuropathology Form—Available Data and New Analyses

Neuropathologic evaluation remains the gold standard for determining the presence and severity of aging-related neurodegenerative diseases. Researchers at U.S. Alzheimers Disease Centers (ADCs) have worked for >30u2009years studying human brains, with the goals of achieving new research breakthroughs. Harmonization and sharing among the 39 current and past ADCs is promoted by the National Alzheimers Coordinating Center (NACC), which collects, audits, and disburses ADC-derived data to investigators on request. The past decades have witnessed revised disease definitions paired with dramatic expansion in the granularity and multimodality of the collected data. The NACC database now includes cognitive test scores, comorbidities, drug history, neuroimaging, and links to genomics. Relatively, recent advances in the neuropathologic diagnoses of Alzheimers disease, frontotemporal lobar degeneration (FTLD), and vascular contributions to cognitive impairment and dementia catalyzed a 2014 update to the NACC Neuropathology Form completed by all ADCs. New focal points include cerebrovascular disease (including arteriolosclerosis, microbleeds, and microinfarcts), hippocampal sclerosis, TDP-43, and FTLD. Here, we provide summary data and analyses to illustrate the potential for both hypothesis-testing and also generating new hypotheses using the NACC Neuropathology data set, which represents one of the largest multi-center databases of carefully curated neuropathologic information that is freely available to researchers worldwide.

APOE4 IS NOT A RISK FACTOR FOR ALZHEIMER’S DISEASE PATHOLOGY IN PPA, IRRESPECTIVE OF CLINICAL SUBTYPE

one visit with cognitive testing. There were 57 (20%) with LP, 22 (8%) with HpSp and 213 (73%) with tAD. For memory, language, and global scores, the HpSp group declined significantly faster, compared to tAD, while the LP group did not (Table 1). The HpSp group did not have relatively better memory performance prior to, at or after dementia diagnosis.Conclusions:The relative frequency and rate of cognitive decline of AD neuropathological subtypes in a population-based sample were similar to previous reports from a convenience sample. However, AD neuropathological subtypes may be incongruous with clinical AD subtypes defined by relative cognitive impairment.

RHEUMATOID ARTHRITIS, INFLAMMATION TREATMENT, AND ALZHEIMER’S DISEASE: A CROSS-SECTIONAL DESCRIPTIVE STUDY USING THE NACC DATABASE

generally high (M score1⁄40.85, SD1⁄40.21), with 44.9% achieving a perfect score. Mean MAC-Q score was 20.15 (SD1⁄43.40) when comparing memory to function in their twenties and 17.96 (SD1⁄42.93) when comparing with others the same age. Both MAC-Q scores were significantly correlated with ADRI total risk (comparing with twenties rS(1154)1⁄40.10, p1⁄40.001; comparing with others rS(1154)1⁄40.11, p<0.001), while only the score for comparing with others the same age was correlated with lifestyle risk (rS(1154)1⁄40.16, p<0.001). Memory task scores were significantly correlated with total risk (rS(1154)1⁄40.11, p<0.001) and lifestyle risk (rS(1154)1⁄4-0.08, p1⁄40.01), but not with MAC-Q scores. Conclusions:This study found no association between subjective and objective memory. However, greater risk of developing Alzheimer’s disease, based on risk factor exposure, was associated with both poorer memory performance and higher subjective memory complaints. Further elucidating relationships between modifiable lifestyle risk factors and memory could have implications for community-based dementia prevention interventions.

THE FRONTOTEMPORAL LOBAR DEGENERATION MODULE (FTLD-MOD) OF THE UNIFORM DATA SET: PERFORMANCE ON LANGUAGE AND BEHAVIOR MEASURES IN PRIMARY PROGRESSIVE APHASIA (PPA) AND BEHAVIORAL VARIANT FRONTOTEMPORAL DEMENTIA (BVFTD)

and white and more recently in color. An important characteristic of this test is that pictures and semantic cues were selected considering psycholinguistic variables from Argentine normative databases. The test is comprised of 30 color images extracted from Cycowicz et al. (1998) set comprising living and non-living things. Psychometric properties of the new color version (PAPDIC) were analyzed. Methods: Clinical sample: 28 patients (18 left brain focal damaged and 10 with neurodegenerative disease). Normative sample paired in age and educational level: 26 subjects without neurological impairment. Subjects were administered a neuropsychological assessment battery including language and semantic memory tests. Psychometric analysis performed: internal consistency was assessed through Kuder-Richardson (KR20) as items were dichotomic; concurrent validity with Spearman s Rho with the brief version of the Boston Naming Test; criteria validity through group comparison (clinical vs control) with Mann-Whitney U test; sensitivity and specificity to detect anomia through ROC curves; and the discriminating power of items through point-biserial correlations with the total test score. Results:The PAPDIC showed a highly acceptable internal consistency value (.927) and a significant correlation with the Boston Naming Test (Spearman s Rho1⁄4 .789; p< .001). Significant group differences were observed (z 1⁄4 -5.242; p < .001). ROC curve analysis showed a Sensitivity of 90% and a Specificity of 100% with an Area Under de Curve of .984 (IC 95% .949-1). The suggested cutting point according to Youden Index was 26. Regarding the discriminating power of individual items, it was observed that the following pictures showed the highest point-biserial correlations: envelope (rpb 1⁄4 .844), brooch (rpb 1⁄4 .798), and fishbowl (rpb 1⁄4 .773). Conclusions:The PAPDIC showed internal consistency between items. Evidence of concurrent and criteria validity were obtained. Specificity and Sensibility values were highly acceptable and showed better discriminating value than the B&W version (AUC 1⁄4 .817). A cutting point to detect anomia was established. Items with better discriminating capacity were identified. Results are promissory and suggest that the PAPDIC could be a useful tool to assess naming difficulties.

COGNITIVE IMPAIRMENT IN PRIMARY AGE-RELATED TAUOPATHY VERSUS ALZHEIMER’S DISEASE

O1-13-03 COGNITIVE IMPAIRMENT IN PRIMARY AGE-RELATED TAUOPATHY VERSUS ALZHEIMER’S DISEASE Lilah M. Besser, Charles Mock, Merilee Teylan, Jason Hassenstab, Walter A. Kukull, John Crary, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA, USA; University of Washington, Seattle, WA, USA; Washington University in St. Louis School of Medicine, St. Louis, MO, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA. Contact e-mail: lilahbesser@gmail.com

THE NATIONAL ALZHEIMER'S COORDINATING CENTER: QUERYING THE DATABASE AND REQUESTING DATA

hemisphere findings, we evaluated the diagnostic utility in adding markers of hemispatial neglect to our previous baseline algorithm. Methods: We used the publicly available DementiaBank dataset (257 interviews from 169 AD patients and 242 interviews with 99 healthy controls). In addition to our baseline algorithm, which included 353 lexical and acoustic markers, we evaluated three approaches to dividing the Cookie Theft image: Halves, strips and quadrants, as seen in figure 1. For each given division, we compiled a list of information units (info-units) that are contained in each region (e.g. the info-units “stool” and “mother” are contained by the left and right halves, respectively). For each region we then recorded four measures from a given transcript: 1) Number of infounits mentioned 2) ratio of info-units to all words 3) ratio of unique info-units to all possible info-units in the region 4) ratio of unique info-units to total mentioned info-units (a measure of redundancy). We also included quadratic interaction terms between regions. We then performed a 10-fold cross validation procedure with a correlation-based feature selection preprocessing phase and trained a logistic regression model using each of the halves, strips, and quadrants approach, and compared against baseline. Results: The halves model [PPV 0.84, 95%CI 0.80-0.86, NPV 0.81(0.74 – 0.88)] and strips model [PPV 0.84 (0.77 – 0.91), NPV 0.82 (0.76 – 0.88)] but not the quadrants model [PPV 0.81 (0.74 – 0.87), NPV 0.81 (0.75 – 0.87)] showed a trend towards improvement from baseline. Conclusions: Including markers of hemispatial neglect to a machine learning algorithm analyzing lexical and acoustic speech features may improve diagnostic accuracy of AD versus healthy controls.

ASSOCIATION BETWEEN ANTIDEPRESSANT USE AND INCIDENT MCI IN OLDER ADULTS WITH DEPRESSION

Beta(13w30Hz), Gamma(30w50Hz). Absolute power is the sum of each EEG power wave. Relative power was calculated as the absolute power of eachwave divided by the sumof absolute power of all waves. Relative power without delta was calculated as the absolute power of each wave divided by the sum of absolute power of the rest waves excepting for delta. Results:Alpha wave showed the striking results among all waves. Alpha absolute power in AD decreased compared to control group. (Figure 1.A)The relative power and the relative power without delta waves in AD decreased compared to the control group (Figure 1.B, C), which has shown similiar to other studies. The alpha power’s gap between AD patients and controls showed the clear distinction in the relative powerwithout delta. Themost effective result was obtained from relative power without delta. Conclusions:Variance of delta had most influence on the result. Even though obtaining EEG was difficult due to delta signal, we showed the possibility that dementia could be diagnosed by measuring EEG signals, especially using relative power of brain waves without delta. This study was supported by 2016 Fund of Chungnam National University.