Computational protocol: Plasma biomarkers are associated with agitation and regional brain atrophy in Alzheimer’s disease

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Protocol publication

[…] All statistical analyses were performed using SPSS (version 21.0; IBM Corporation, Armonk, NY, USA). The skewness and kurtosis of continuous variables, such as age, years of education, BMI, clusterin level, and MMSE score, were within −1 to 1. As skewness values for the plasma Aß1-40 and Aß1-42 levels and the Aß1-42/Aß1-40 ratio exceeded 3, we log transformed these variables for further analysis. Independent two-sample t-tests and X2 tests were conducted to compare age, sex, BMI, neuropsychological test scores, plasma Aß and clusterin levels, MTA and PA scores, and ARWMC scores between controls and patients with AD and MCI. Pearson correlation analysis was conducted to study the relationships between plasma biomarkers and age, sex, education, disease duration, BMI, MMSE score, CDR-SB score, and visual rating scores. To explore the associations between plasma biomarkers and MTA, PA, MMSE, cognitive domain, and NPI subscales scores (dependent variables), we used plasma Aß and clusterin levels as independent variables. Age, education, sex, and ApoE4 genetic data were entered as covariates. To assess the relationships between visual rating scores and cognitive functions and neuropsychiatric symptoms, we used regression analysis with MTA and PA scores serving as independent variables, and MMSE, cognitive domain, CDR-SB, and NPI subscale scores serving as dependent variables. Age, education, sex, and ApoE4 genetic data were entered as covariates. Statistical significance was defined as p < 0.05. Post-hoc calculation of the statistical power achieved under the condition α = 0.05 was calculated using the G*Power program (http://gpower.hhu.de/). […]

Pipeline specifications

Software tools SPSS, G*Power
Application Miscellaneous
Diseases Alzheimer Disease, Dementia