Joni Holmes

The paper examines associations between ADHD and intelligence polygenic scores and developmental dimensions in children with attention, learning, and memory difficulties, finding significant links with cognitive and behavioral traits.

The paper investigates how genetic and environmental risks for mental illness overlap in brain connectivity using data from the ABCD cohort.

This paper uses computational modeling to show that early adversity increases stochasticity in the formation of structural brain networks in mice.

This study investigates whether working memory training benefits transfer across different paradigms and finds that transfer is constrained by the training paradigm and task-specific processes.

The paper models fluid intelligence as a hierarchical system where white matter influences intermediate cognitive traits, which in turn affect fluid intelligence, showing age-related changes in the relationship.

This study uses a transdiagnostic approach to analyze cognitive, behavioral, and neural data from children with learning difficulties to identify underlying mechanisms.

This study uses machine learning to identify cognitive and neural profiles in a large heterogeneous sample of struggling learners, revealing distinct groups with similar learning profiles despite different cognitive characteristics.

The paper examines cognitive and behavioral dimensions in children with learning difficulties and ADHD, finding distinct cognitive deficits linked to learning challenges and ADHD symptoms.

This study uses data-driven clustering to identify subtypes of executive function-related behavioral problems in children, finding three distinct groups linked to specific neurobiological patterns.