There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
Principal Investigator | |
Principal Investigator's Name: | Bernardo Villa-Sanchez |
Institution: | University of Trento |
Department: | Center for Mind/Brain Sciences |
Country: | |
Proposed Analysis: | Our aim is to investigate whether the increase of blood pressure across the lifespan in healthy individuals correlates with a decrease in cognitive performances. In particular, we aim to evaluate how such relationship varies across subclinical groups, identified according to the 2018 ESC/ESH guideline (optimal, normal, high normal blood pressure). First, we will characterize the subclinical groups, in terms of their demographic characteristic, using descriptive statistics (e.g., mean, standard deviation (SD), etc.). Differences between groups will be assessed using either parametric or non-parametric approaches, depending on the underlying data distributions (e.g., analysis of variance or Kruskal-Wallis tests for continuous variables and chi-squared or Fisher’s exact test for categorical variables). Second, we will carry out an explorative analysis to assess the relationship between age-related changes in cognitive performance and increase of blood pressure indexes in each identified group (optimal, normal, high normal). To do so, we propose the use of linear mixed model to assess the impact of blood pressure and other indexes derived from blood pressure (e.g. mean arterial pressure) on cognitive performance over time (dependent variable), while taking inter-subject variability into account. The variables age, sex, education, antihypertensive medication, alcohol consumption, smoking, physical activity or other variables related with cardiovascular health will be considered as potential covariates. |
Additional Investigators | |
Investigator's Name: | Sara Assecondi |
Proposed Analysis: | Our aim is to investigate whether the increase of blood pressure across the lifespan in healthy individuals correlates with a decrease in cognitive performances. In particular, we aim to evaluate how such relationship varies across subclinical groups, identified according to the 2018 ESC/ESH guideline (optimal, normal, high normal blood pressure). First, we will characterize the subclinical groups, in terms of their demographic characteristic, using descriptive statistics (e.g., mean, standard deviation (SD), etc.). Differences between groups will be assessed using either parametric or non-parametric approaches, depending on the underlying data distributions (e.g., analysis of variance or Kruskal-Wallis tests for continuous variables and chi-squared or Fisher’s exact test for categorical variables). Second, we will carry out an explorative analysis to assess the relationship between age-related changes in cognitive performance and increase of blood pressure indexes in each identified group (optimal, normal, high normal). To do so, we propose the use of linear mixed model to assess the impact of blood pressure and other indexes derived from blood pressure (e.g. mean arterial pressure) on cognitive performance over time (dependent variable), while taking inter-subject variability into account. The variables age, sex, education, antihypertensive medication, alcohol consumption, smoking, physical activity or other variables related with cardiovascular health will be considered as potential covariates. |