Improving comparability across cognitive training trials for brain aging: A focus on interoperability

Abstract

Cognitive training may promote healthy brain aging and prevent dementia, but results from individual studies are inconsistent. There are disagreements on how to evaluate cognitive training interventions between clinical and basic scientists. Individual labs typically create their own assessment and training materials, leading to difficulties reproducing methods. Here, we advocate for improved interoperability: the exchange and cooperative development of a consensus for cognitive training design, analysis, and result interpretation. We outline five guiding principles for improving interoperability: (i) design interoperability, developing standard design and analysis models; (ii) material interoperability, promoting sharing of materials; (iii) interoperability incentives; (iv) privacy and security norms, ensuring adherence to accepted ethical standards; and (v) interpretability prioritization, encouraging a shared focus on neurobiological mechanisms to improve clinical relevance. Improving interoperability will allow us to develop scientifically optimized, clinically useful cognitive training programs to slow/prevent brain aging. HIGHLIGHTS: Interoperability facilitates progress via resource sharing and comparability. Better interoperability is needed in cognitive training for brain aging research. We adapt an interoperability framework to cognitive training research. We suggest five guiding principles for improved interoperability. We propose an open-source pipeline to facilitate interoperability.