The most interesting feature in Lifebrain is probably the opportunities offered by the specific features and knowledge of each partner site and the possibility to study data that have been collected in each partner site in mega statistical analyses - interview with Sezen Cekic and Paolo Ghisletta, researchers of the University of Geneva, Research group of Methodology and Data Analysis.
Field of research in Lifebrain
Our field of research in Lifebrain is data analysis, especially longitudinal data analyses with the aim to detect within-person change (whether linear or nonlinear), between-person differences in within-person change, and significant predictors of those between-person differences.
What was your motivation for getting engaged in brain research?
The motivation was the opportunity to apply complex longitudinal statistical models to state-of-the-art and very complete brain and behavioral data from leading European researchers, and to collaborate with top-notch European researchers.
What do you find most interesting in the Lifebrain project?
The most interesting feature in Lifebrain is probably the opportunities offered by the specific features and knowledges of each partner site and the possibility to study data that have been collected in each partner site in mega statistical analyses.
What is the most burning scientific question in your opinion in our times (in your field of brain research?)
Given that our field of research within Lifebrain is longitudinal data analyses, we will answer accordingly: nonlinear longitudinal models (whether parametric or nonparametric), data mining aspects and dynamic models.
What can people do for their brain health?
The research about behavioral and cognitive intervention converges on the benefits of regular aerobic-type exercise, intellectual challenging activities, and socially engaging lives. In other words, brain health might be maintained by healthy and engaged lifestyles.