Individualized prediction of future cognition based on developmental changes in cortical anatomy

Area of Science:

• Neuroscience
• Developmental Psychology
• Cognitive Science

Background:

• Predictive modeling of cognition often relies on cross-sectional brain measures.
• Brain development is a continuous process intrinsically linked to cognitive development.
• Longitudinal studies are crucial for understanding dynamic changes in the brain.

Purpose of the Study:

• To investigate the predictive power of longitudinal brain change versus cross-sectional brain measures for future cognitive function.
• To build accurate prediction models of executive function using neuroimaging data.
• To emphasize the necessity of considering developmental trajectories in brain-cognition research.

Main Methods:

• Utilized longitudinal neuroimaging and cognitive data from 82 individuals aged 5-14 years, with three scanning sessions.
• Developed predictive models using changes in cortical anatomy between the first two visits to forecast cognitive scores at the third visit.
• Employed a global executive composite score as the index of executive function.

Main Results:

• Achieved highly accurate prediction models (r = 0.61, p = 1.6e-09) for future executive function.
• Demonstrated that both longitudinal brain change and cross-sectional brain measures were critical predictors.
• Found that changes in cortical anatomy from visit 1 to 2 significantly predicted cognition at visit 3.

Conclusions:

• Longitudinal brain change is a critical factor in predicting future cognitive abilities.
• Future predictive models of cognition should incorporate dynamic changes in brain structure.
• Understanding developmental trajectories of the brain is essential for accurate cognitive outcome prediction.