Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivity.

ABSTRACT: A growing body of research predicts individual cognitive ability levels from brain characteristics including functional brain connectivity. The majority of this research achieves statistically significant prediction performance but provides limited insight into neurobiological processes underlying the predicted concepts. The insufficient identification of predictive brain characteristics may present an important factor critically contributing to this constraint. Here, we encourage to design predictive modeling studies with an emphasis on interpretability to enhance our conceptual understanding of human cognition. As an example, we investigated in a preregistered study which functional brain connections successfully predict general, crystallized, and fluid intelligence in a sample of 806 he

SUBMITTER: Thiele JA 

PROVIDER: S-EPMC11631348 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature