Andrew M. Kiselica Ph.D.

Benge, J.F. and Kiselica, A.M. (2020). “Rapid communication: Preliminary validation of a telephone adapted Montreal Cognitive Assessment for the identification of mild cognitive impairment in Parkinson’s disease.” Clin Neuropsychol Aug 11;1-15. doi: 10.1080/13854046.2020.1801848. [Epub ahead of print.].

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OBJECTIVE: In the current pandemic, tele-screening of neuropsychological status has become a necessity. Instruments developed for telephone screening are not as well validated as traditional neuropsychological measures. Therefore, the current study presents preliminary validation of a telephone version of the Montreal Cognitive Assessment (T-MoCA) in individuals with Parkinson’s disease (PD). METHOD: Twenty-one persons with PD completed the T-MoCA along with a traditional neuropsychological battery. Diagnostic accuracy for the presence of PD-related mild cognitive impairment (MCI) and correlations with traditional neuropsychological measures are reported. RESULTS: Individuals with MCI (n = 9) scored lower than individuals without cognitive impairment (17.56 vs. 19.50; t = -2.28, p = .03, d = -1.00). Diagnostic accuracy for MCI ranged from 76% to 81%, with sensitivity ranging from 0.56 to 0.67 and specificity ranging from 0.92 to 1.00. Correlations of T-MoCA derived scores with traditional neuropsychological measures were quite modest, with the exception of the memory impairment scale. CONCLUSIONS: This rapid communication presents preliminary validation of the T-MoCA for use in individuals with PD. Caveats and implications for practical use in the current pandemic are discussed.

Kiselica, A. M., A. N. Kaser, T. A. Webber, B. J. Small and J. F. Benge (2020). “Development and Preliminary Validation of Standardized Regression-Based Change Scores as Measures of Transitional Cognitive Decline.” Arch Clin Neuropsychol Jul 21;acaa042. [Epub ahead of print.].

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OBJECTIVE: An increasing focus in Alzheimer’s disease and aging research is to identify transitional cognitive decline. One means of indexing change over time in serial cognitive evaluations is to calculate standardized regression-based (SRB) change indices. This paper includes the development and preliminary validation of SRB indices for the Uniform Data Set 3.0 Neuropsychological Battery, as well as base rate data to aid in their interpretation. METHOD: The sample included 1,341 cognitively intact older adults with serial assessments over 0.5-2 years in the National Alzheimer’s Coordinating Center Database. SRB change scores were calculated in half of the sample and then validated in the other half of the sample. Base rates of SRB decline were evaluated at z-score cut-points, corresponding to two-tailed p-values of .20 (z = -1.282), .10 (z = -1.645), and .05 (z = -1.96). We examined convergent associations of SRB indices for each cognitive measure with each other as well as concurrent associations of SRB indices with clinical dementia rating sum of box scores (CDR-SB). RESULTS: SRB equations were able to significantly predict the selected cognitive variables. The base rate of at least one significant SRB decline across the entire battery ranged from 26.70% to 58.10%. SRB indices for cognitive measures demonstrated theoretically expected significant positive associations with each other. Additionally, CDR-SB impairment was associated with an increasing number of significantly declined test scores. CONCLUSIONS: This paper provides preliminary validation of SRB indices in a large sample, and we present a user-friendly tool for calculating SRB values.

Kiselica, A. M., T. A. Webber and J. F. Benge (2020). “The Uniform Dataset 3.0 Neuropsychological Battery: Factor Structure, Invariance Testing, and Demographically Adjusted Factor Score Calculation.” J Int Neuropsychol Soc 26(6): 576-586.

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OBJECTIVE: The goals of this study were to (1) specify the factor structure of the Uniform Dataset 3.0 neuropsychological battery (UDS3NB) in cognitively unimpaired older adults, (2) establish measurement invariance for this model, and (3) create a normative calculator for factor scores. METHODS: Data from 2520 cognitively intact older adults were submitted to confirmatory factor analyses and invariance testing across sex, age, and education. Additionally, a subsample of this dataset was used to examine invariance over time using 1-year follow-up data (n = 1061). With the establishment of metric invariance of the UDS3NB measures, factor scores could be extracted uniformly for the entire normative sample. Finally, a calculator was created for deriving demographically adjusted factor scores. RESULTS: A higher order model of cognition yielded the best fit to the data χ2(47) = 385.18, p < .001, comparative fit index = .962, Tucker-Lewis Index = .947, root mean square error of approximation = .054, and standardized root mean residual = .036. This model included a higher order general cognitive abilities factor, as well as lower order processing speed/executive, visual, attention, language, and memory factors. Age, sex, and education were significantly associated with factor score performance, evidencing a need for demographic correction when interpreting factor scores. A user-friendly Excel calculator was created to accomplish this goal and is available in the online supplementary materials. CONCLUSIONS: The UDS3NB is best characterized by a higher order factor structure. Factor scores demonstrate at least metric invariance across time and demographic groups. Methods for calculating these factors scores are provided.

Kiselica, A. M., T. A. Webber and J. F. Benge (2020). “Using multivariate base rates of low scores to understand early cognitive declines on the uniform data set 3.0 Neuropsychological Battery.” Neuropsychology Apr 27. [Epub ahead of print].

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OBJECTIVE: Low neuropsychological test scores are commonly observed even in cognitively healthy older adults. For batteries designed to assess for and track cognitive decline in older adults, documenting the multivariate base rates (MBRs) of low scores is important to differentiate expected from abnormal low score patterns. Additionally, it is important for our understanding of mild cognitive impairment and preclinical declines to and determine how such score patterns predict future clinical states. METHOD: The current study utilized Uniform Data Set Neuropsychological Battery 3.0 (UDS3NB) data for 5,870 English-speaking, older adult participants from the National Alzheimer’s Coordinating Center from 39 Alzheimer’s disease Research Centers from March 2015 to December 2018. MBRs of low scores were identified for 2,608 cognitively healthy participants that had completed all cognitive measures. The association of abnormal MBR patterns with subsequent conversion to mild cognitive impairment and dementia were explored. RESULTS: Depending on the operationalization of “low” score, the MBR of demographically adjusted scores ranged from 1.40 to 79.2%. Posttest probabilities using MBR methods to predict dementia status at 2-year follow up ranged from .06 to .33, while posttest probabilities for conversion to mild cognitive impairment (MCI) ranged from .12-.32. CONCLUSIONS: The data confirm that abnormal cognitive test scores are common among cognitively normal older adults. Using MBR criteria may improve our understanding of MCI. They may also be used to enrich clinical trial selection processes through recruitment of at-risk individuals.

Kiselica, A. M. and J. F. Benge (2019). “Quantitative and qualitative features of executive dysfunction in frontotemporal and Alzheimer’s dementia.” Appl Neuropsychol Adult Aug 19: 1-15. [Epub ahead of print].

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Behavioral variant fronto-temporal degeneration (bvFTD) is typically distinguished from Alzheimer’s disease (AD) by early, prominent dysexecutive findings, in addition to other clinical features. However, differences in executive functioning between these groups are not consistently found. The current study sought to investigate quantitative and qualitative differences in executive functioning between those with bvFTD and AD in a large sample, while controlling for dementia severity and demographic variables. Secondary data analyses were completed on a subset of cases from the National Alzheimer’s Coordinating Center collected from 36 Alzheimer’s Disease Research Centers and consisting of 1,577 individuals with AD and 406 individuals with bvFTD. Groups were compared on 1) ability to complete three commonly administered executive tasks (letter fluency, Trail Making Test Part B [TMTB], and digits backward); 2) quantitative test performance; and 3) errors on these tasks. Findings suggested that individuals with bvFTD were less likely to complete letter fluency, chi(2)(2) = 178.62, p < .001, and number span tasks, chi(2)(1) = 11.49, p < .001), whereas individuals with AD were less likely to complete TMTB, chi(2)(2) = 460.38, p < .001. Individuals with bvFTD performed more poorly on letter fluency, F(1) = 28.06, p = .013, but there were not group differences in TMTB lines per second or number span backwards. Errors generally did not differentiate the diagnostic groups. In summary, there is substantial overlap in executive dysfunction between those with bvFTD and AD, though individuals with bvFTD tend to demonstrate worse letter fluency performance.