Article

Improving Predictability, Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking

2024-05-05

Abstract excerpt

Brain-wide association studies (BWASs) have attempted to relate cognitive abilities with brain phenotypes, but have been challenged by issues such as predictability, test-retest reliability, and cross-cohort generalisability. To tackle these challenges, we proposed a machine-learning “stacking” approach that draws information from whole-brain magnetic resonance imaging (MRI) across different modalities, from task-...

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Literature Corpus work: dcb0f388-819b-5887-b45e-09eebc0b1813
DOI: 10.1101/2024.05.03.589404

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