O3‐06‐01: Nih Toolbox Cognition Tablet Battery In Identification Of Early Cognitive Impairment

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152934/1/alzjjalz2019064654.pd

O3‐05‐04: Task‐Related Fmri Change After High‐Definition Transcranial Direct Current Stimulation In Cognitively Intact Older Adults And Patients With Mci

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153127/1/alzjjalz2018062797.pd

[P4–023]: High‐Definition Transcranial Direct Current Stimulation Modulates Bold Signal During Spatial Navigation In Older Controls And Patients With Mci

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152547/1/alzjjalz2017061887.pd

Validation of the National Alzheimer’s Coordinating Center (NACC) Lewy Body Disease Module neuropsychological tests

IntroductionThis study assessed the construct validity and clinical utility of the National Alzheimer’s Coordinating Center Lewy Body Dementia (LBD) Module, consisting of the Speeded Attention and Noise Pareidolia Tasks.MethodsParticipants included 459 older adults diagnosed as cognitively normal (n = 202), or with non- amnestic mild cognitive impairment (n = 61), amnestic mild cognitive impairment (n = 96), Alzheimer’s disease dementia (n = 44), or LBD (n = 56).ResultsSpeeded Attention demonstrated strong convergent validity and moderate discriminant validity when compared to established neuropsychological tests. Noise Pareidolia demonstrated strong discriminant validity, but limited convergent validity. Noise Pareidolia scores were significantly lower in those with reported hallucinations, delusions, or REM sleep behavior disorder symptoms. LBD Module tests discriminated well between cognitively normal adults and those with LBD.DiscussionThe LBD Module demonstrates promising construct validity and clinical utility, which support its use across research and clinical settings.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/171809/1/dad212279_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/171809/2/dad212279.pd

P3‐458: Neuropsychological predictors of activities of daily living, instrumental activities of daily living, and motor functioning in Alzheimer’s disease and isolated memory impairment

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153234/1/alzjjalz2008052029.pd

Identification of Mild Cognitive Impairment Among Black and White Community Dwelling Older Adults Using NIH-Toolbox Cognition Tablet Battery

BackgroundNIH Toolbox-Cognition Battery (NIHTB-CB) is a computerized cognitive assessment battery frequently used in clinical research. However, the utility of the tablet adaptation has not been well established for clinical characterization, nor have possible racial differences been examined. We aim to identify which of the NIHTB-CB subtests best differentiate healthy controls (HC) from those with mild cognitive impairment (MCI), as well as examine possible differences in diagnostic identification between Black/African-American (B/AA) and white older adults.MethodParticipants were community-dwelling adults 65 years and up (HC = 96; MCI = 63), recruited through affiliated studies within the Michigan Alzheimer’s Disease Research Center (NIA/NIH-P30AG053760) and diagnosed by consensus conference through National Alzheimer’s Coordinating Center criteria. They then completed the NIHTB-CB tablet version for iPad. Discriminant function analysis was used to determine which cognitive tests best differentiated clinical diagnoses in the total sample and separately for B/AA (n = 81) and white participants (n = 78).ResultIn the total sample, 78% of cases were correctly identified with Picture Sequence Memory (PSM; Standardized Coefficient (SC) = -.73) being the strongest predictor. The cross-validated model correctly identified 79.2% of HCs and 60.3% of MCIs. Analyses were then stratified by race. In the B/AA sample, the model was able to correctly identify 60% of HCs and 68.4% of MCIs, with PSM (SC = .68) being the strongest predictor followed by List Sorting Working Memory (LSWM; SC = .42). In the white sample, 83% of HCs and 44% of MCIs were correctly identified and PSM (SC = .84) was the strongest predictor.ConclusionAs more treatments become available for Alzheimer’s disease, it is increasingly important to identify preclinical stages, such as MCI, so that we may intervene as early as possible in the disease process. NIHTB-CB is one tool that may aid in identification. The memory subtest PSM was the best predictor of diagnosis in each model. While the overall model was fairly accurate at predicting clinical diagnosis, the models proved less accurate when cross validated and stratified by race. Thus, our results suggest that it may be important to consider race and other aspects in identifying specific diagnostic groups.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/175392/1/alz067700.pd

P1‐331: Diffusion Modeling To Evaluate The Utility Of Cogstate In Differentiating Normal Elderly, Mild Cognitive Impairment, And Probable Alzheimer’S Disease

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153204/1/alzjjalz201806338.pd

Diagnostic differentiation by NIH Toolbox- Cognition (iPAD) for Alzheimer- s disease, mild cognitive impairment (MCI), and healthy control participants

BackgroundAge- associated impairment among older adults is a significant public health concern. The NIH Toolbox for Assessment of Neurological and Behavioral Function® (NIHTB) was developed for use in studies for which standardized, computer- based measurement of cognitive, motor, sensory, and behavioral processes is of importance. The NIH Toolbox- Cognition battery measures both crystallized and fluid cognitive functions. The goal of this study was to compare performance of the newly available tablet- version of the Cognition battery across healthy and impaired older adults and to analyze if race and gender effects would be evident even when using NIHTB fully- adjusted T- scores.MethodA total of 104 individuals (28 men, 56 women; 45% African American) completed the NIH Toolbox- Cognition as part of a National Alzheimer- s Disease Coordinating Center (NACC) longitudinal study of memory and aging through the Michigan Alzheimer- s Disease Research Center (Michigan ADRC). All participants received the Unified Data Set (UDS) and consensus diagnosis of normal cognition (NL), amnestic mild cognitive impairment (aMCI), or Alzheimer- s dementia (AD). Univariate analyses of variance with post- hoc comparisons were used to compare fully adjusted (age, gender, race/ethnicity, education) Toolbox T- Score performance across the groups.ResultsUnivariate ANOVAs revealed significant findings for the Total and Fluid composites (both pAD. Though NL and aMCI groups performed similarly, both groups outperformed AD on Dimensional Card Sort, Flanker, and Pattern Comparison Fluid subtests. NL>aMCI>AD on List Sorting Working Memory and Picture Sequence Memory. Main effects for race or gender were not seen for comparisons of NL to aMCI, but some group sizes were too small for adequate testing in the AD participants.ConclusionsAs expected, NL, aMCI, and AD demonstrated significant performance differences on NIH Toolbox- Cognition composite and scale scores. As expected, Crystallized tasks were least effective, traditionally representing cognitive areas least sensitive to neurologic dysfunction. Fluid tasks were noticeably more effective, with the working memory and learning measures showing a significant tiered difference, with NL highest and AD lowest. The fully adjusted scores were successful in accounting for demographic variables.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163884/1/alz046086.pd

[P1–477]: Predictors Of Change On Nih Toolbox‐Cognition And Cogstate Brief Battery In A Sample Of African‐American Seniors With Cognitive Complaints

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153152/1/alzjjalz201706493.pd

[P1–469]: Race And Amnestic Mci Subtype Performance In Comparison To Healthy Older Controls On The Nih Toolbox‐Cognitive

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153243/1/alzjjalz201706485.pd