Brain-based predictive models offer a promising approach to understanding individual differences in cognitive functioning across the lifespan. This review synthesizes current literature on brain-based cognitive predictions using large-scale datasets, examining how methodological choices and data-related factors impact...
E. Christensen, L. Wiersch, M. Wang et al.· Communications Psychology· 0 citations
The adolescent social environment and dynamics therein have been linked to divergent brain organization and greater risk of psychopathology later in life, suggesting the neural underpinnings of mental health may depend on social context. To examine this, we leveraged longitudinal ABCD Study data to identify dynamic soc...
Haily Merritt, Marlen Z. Gonzalez, Stephanie Noble et al.· bioRxiv· 0 citations
OBJECTIVES
Cortisol dysregulation, reflective of hypothalamic-pituitary-adrenal (HPA) axis dysregulation, has been linked to executive functioning (EF) decline. However, substantial effect-size heterogeneity across studies highlights the potential role of psychosocial moderators. We investigated whether the severity of...
Nur Hani Hani Zainal, Stephanie Noble· The journals of gerontology....· 0 citations
Machine learning is a ubiquitous part of the modern neuroimaging toolkit, particularly for research aimed towards precision medicine goals of improving individual-level diagnosis and treatment. However, the high dimensionality of neuroimaging data poses significant challenges for constructing interpretable predictive m...
