Chris Moran

This study investigates metabolic complexity in the human brain using PET and fMRI, finding that metabolic entropy correlates with network metastability and declines with age.

The paper uses fPET and Granger causality to analyze directed metabolic connectivity in brain circuits, finding that metabolic connections predict cognition and affect, and vary in efficiency and functional benefit.

This study identifies four metabolic network states in the human brain and shows that cognitive performance depends on the ability to switch between them, with reduced flexibility in older adults.

This study identifies four metabolic connectivity gradients in the human brain, linking metabolic activity, cortical structure, and cognitive function across the lifespan.

This study shows that variability in glucose metabolism, not just average rates, is linked to cognitive performance and metabolic network efficiency, with reduced variability in older adults associated with worse cognition.

This study compares metabolic and functional connectivity using fPET and fMRI to determine their predictive power for age and cognition, finding that metabolic connectivity is more predictive.

This study examines sex differences in the relationship between cerebral blood flow and glucose metabolism across age groups and finds that older females show stronger negative correlations, potentially indicating compensatory mechanisms.

The paper investigates how peripheral insulin resistance affects cerebral glucose metabolism and working memory in healthy adults, finding greater impacts in younger adults.

This study examines metabolic connectivity in ageing using high temporal resolution PET, finding reduced connectivity and altered topology in older adults linked to worse cognitive performance.

This study examines how insulin resistance and age affect cerebral blood flow and glucose metabolism coupling in adults, finding altered coupling patterns in insulin-resistant individuals.

This paper conducts a systematic review and meta-analyses of cerebral glucose metabolism in ageing, finding reduced metabolism in frontal and temporal regions.

The paper investigates how participant dropout affects structural MRI measures in longitudinal studies, finding that it can bias brain metric estimates and group differences.