Poster Presentations: P4 Figure 1 A (r ¼ -0.649, P < 0.001). Increase in CVR with age is shown in Figure 1 B (r ¼ 0.259, P < 0.05). Reduction in nTBV with age was correlated negatively with increases in CVR (r ¼ -0.344, P < 0.01) (Figure 1 C). However, no age-related differences in nTCBF were observed (r ¼ 0.03, P ¼0.815) (Figure 1 D). Conclusions: Increases in cerebrovascular resistance with age suggest the presence of cerebral vasoconstriction and/or vascular rarefaction which may be related to the reduction in brain tissue volume. However, no age-related differences in normalized brain perfusion indicate that neurovascular coupling is likely to be maintained intact during normal aging. P4-208
PREDICTING COGNITIVE FUNCTION FROM CLINICAL MEASURES OF MOBILITY AND HEALTH STATUS: A L1-L2 REGULARIZED REGRESSION APPROACH
Niousha Bolandzadeh1, Konrad Kording2, Nicole Salowitz3, C. Liang Hsu4, Jennifer C. Davis1, Devika Sharma4, Teresa Liu-Ambrose4, 1 UBC, Vancouver, British Columbia, Canada; 2Northwestern University, Chicago, Illinois, United States; 3Marquette University, Milwaukee, Wisconsin, United States; 4University of British Columbia, Vancouver, British Columbia, Canada. Contact e-mail:
[email protected] Background: Cognitive impairment is a significant and global health care concern. Older adults with cognitive impairment have reduced functional independence and reduced quality of life. Given the population is aging at a rapid rate, early detection of risk for cognitive decline would promote timely implementation of prevention strategies. To facilitate uptake and use, screening tools must be feasible to use in clinical settings. Emerging evidence indicates a strong association between physical performance and cognitive function in older adults. Thus, we aimed to identify clinical measures of mobility and health status that are significant predictors of cognitive function, assessed by the Montreal Cognitive Assessment (MoCA), over a 12-month period. Methods: We used data acquired from 91 older women (aged 65 to 75 years) who participated in a 12-month randomized controlled trial of exercise. Thirty three measures were collected at baseline: 1) age, 2) MoCA, 3) number of prescribed medications, 4) number of supplements taken, 5) 29 mobility and health status scores. A L1-L2 regularized regression model (AKA Elastic Net) with jack-knife was constructed to predict MoCA score after 12 months. Results: The top 10 significant predictors of MoCA score at 12 months were: age, baseline MoCA score, number of supplements taken, experimental group, and six mobility and health status scores of: 1) the Short Physical Performance Battery (SPPB) balance score (out of 4), 2) total Activities-Specific Balance Confidence (ABC) score, 3) SPPB walking score (out of 4), 4) visual contrast score, 5) waist-hip ratio, and 6) Physiological Profile Assessment (PPA). Collectively, these top 10 predictors could explain 42% of the variance in MoCA score at 12 months, which was statistically larger than the variance accounted for by any of the 34 individual predictors (p < 0.001). Conclusions: Measures of age, cognition, mobility and health status should be combined to estimate future cognitive function in aging individuals. All the measurements included in this study (except the PPA score which requires specialized equipment) are simple to implement and easy to score, and thus these measures are practical for use in the clinical setting to predict cognitive function in older adults.
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P783 NAMING OF TRANSITIVE AND INTRANSITIVE VERBS IN BRAZILIANS WITH ALZHEIMER’S DISEASE
Barbara Beber1, Marcia Chaves2, 1Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; 2HCPA/UFRGS, Porto Alegre, Brazil. Contact e-mail:
[email protected] Background: Studies have shown evidence that semantic processing of verbs is related predominantly to frontal brain areas. Little is known about how the semantic knowledge related to the action is processed in subjects with Alzheimer’s Disease (AD). No studies were found using Action Naming (AN) in subjects with AD in Brazil. The aim was to analyze the AN in subjects with AD and their control subjects. Furthermore, to assess the differences in performance between the naming of transitive and intransitive verbs within groups. Transitive verbs have more semantic content and patients with AD may have these verbs affected differently. Methods: The NINCDS-ADRDA criteria (McKhann et al., 1984) were used for probable AD. The pacientes were selected from the Dementia Clinic of the Hospital de Clinicas de Porto Alegre (HCPA), southern Brazil. The healthy controls were matched for age and education. Twenty action figures were chosen from the Object and Action Naming Battery (Druks et al., 2000), according to the culture and Brazilian Portuguese. Ten figures represented intransitive verbs and 10 represented transitive verbs. This study was approved by the Human Research Ethics Committee (with number 11-0178) and signed consent was obtained from all pacientes or the proxy. Analyses were performed using Student’s t test and ANOVAwith post hoc Bonferroni. The study is still ongoing. Results: Participated to date, 17 subjects with AD (3 men) with a mean age 77.47 (+ 2.90), education 5.24 (+ 4.19), MMSE 18.88 (+ 4.06). Of these patients, 7 (41.2%) had mild dementia and 10 (58.8%) moderate dementia. The control subjects had a mean age 76.93 (+ 3.65), education of 5.93 (+ 3.69), MMSE 26.57 (+ 2.41). When the total performance of AN was compared between groups, subjects with AD had significantly lower performance (p
