The Cognitive Game Suite, a vital part of the DELPHI project in collaboration with the Panum Institute and other partners, is set to deepen our understanding of the interplay between physical health and cognitive function. This initiative specifically focuses on the impacts of cardiometabolic diseases.

Spanning 25 years, this longitudinal study engages participants to provide bi-annual data through a variety of methods, including advanced wearables and blood tests. The overarching aim of this extensive research is to forge a link between long-term health data and cognitive performance, thereby paving the way for early detection of potential health declines.

Currently under development, the Game Suite encompasses a range of components designed to meticulously measure cognitive abilities:

Further Information

Ida Bang Hansen

Research Assistant
  • Working Memory Game: A test of memory retention and processing.
  • Mental Speed Test: Evaluating the rapidity of cognitive processing.
  • Social Cognition and Emotion Recognition Tasks: Assessing the ability to understand and interpret social cues and emotions.
  • Emotional Speech Recognition Activities: Focused on recognizing and interpreting emotions conveyed through speech.
  • An upcoming creativity measure, potentially incorporating the innovative game LINKS, is also in the pipeline.

The design of the suite centers on user-friendliness, engagement, and scientific validity, ensuring a seamless and beneficial experience for participants.

Scheduled for an initial test launch in 2024, the Cognitive Game Suite is committed to evolving through continuous updates. These updates will be informed by ongoing research findings and valuable participant feedback, ensuring the suite remains at the forefront of cognitive health research.

In summary, the Cognitive Game Suite is a critical tool within the DELPHI project. It is designed to collect comprehensive cognitive performance data that will be correlated with physical health metrics. This integration of cognitive and physical health data is key to advancing our ability to detect mental and physical health issues at early stages, contributing significantly to the field of health research.