Maxwell L. Elliott

This paper shows that brain networks can be precisely mapped within individuals using only task data, producing results similar to resting-state data.

The paper introduces DunedinPACNI, a brain MRI-based aging measure that predicts dementia conversion, morbidity, and mortality.

The paper examines how functional topography of neocortical networks in midlife relates to covariation in motor and cognitive abilities, finding that motor ability reflects functional topography differences while hearing does not.

This study identifies brain connectivity patterns associated with trait anger using a large sample and connectome-wide analysis, finding hyperconnectivity in action-related regions.

The paper identifies a common pattern of reduced neocortical thickness across multiple psychiatric disorder categories and the general psychopathology factor.

Task-fMRI regional activation has poor test-retest reliability: meta-analytic mean intraclass correlation .397 across 77 un-thresholded substudies, and .067 to .485 for 11 tasks in HCP and Dunedin retest samples.

This study shows that older brain-age in midlife is linked to accelerated biological aging and cognitive decline, supporting brain-age as a biomarker while highlighting its potential to reflect lifelong CNS variation.

The paper associates a GWAS-derived polygenic score for IL-1β with hippocampal volume in two independent samples, showing a positive correlation.

The paper examines how white matter microstructural integrity moderates the link between childhood adversity and adult trait anger using diffusion MRI data.

This paper introduces General Functional Connectivity (GFC) to improve reliability and heritability of intrinsic connectivity estimates by combining resting-state and task fMRI data.

This study finds that white matter hyperintensities (WMHs) are common in midlife and are associated with lower IQ and greater cognitive decline from childhood to midlife.

The paper finds that a polygenic score for educational attainment is associated with larger brain size and better cognitive test performance, suggesting a genetic link between brain size and intelligence.

The paper identifies a functional signature of transdiagnostic mental illness risk through hyper-connectivity between visual association cortex and frontoparietal and default mode networks.