Multimodal Neuroimaging Predictive Models of Cognition Generalize from Healthy Populations to ADHD

Brisbane Convention & Exhibition Centre 

Integrating neuroimaging data with advanced predictive modeling offers a promising avenue for developing predictive biomarkers for complex traits, such as cognitive functioning ​(Tetereva et al., 2022)​. However, the predictive utility of these biomarkers has been predominantly tested on healthy participants ​(Rasero et al., 2021; Sripada et al., 2020; Tetereva et al., 2022, 2024)​, leaving it unclear how applicable they are to individuals with neurocognitive conditions, such as Attention-Deficit/Hyperactivity Disorders (ADHD). Addressing this gap brings us closer to biomarkers that can be clinically utilized to trace brain signals related to cognitive abilities during the progression or treatment of ADHD.