Gary F. Egan

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 shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

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.

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

This study uses resting-state fMRI and spDCM to show that postpartum mothers have disinhibited brain connectivity in key regions, suggesting more flexible and responsive behavior in caregiving and cognition.

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

This study uses a Network Diffusion Model to predict neurodegeneration patterns in limb-onset ALS by correlating simulated pathology spread with MRI-measured atrophy.

The paper introduces an atlas-free method using a deep recurrent auto-encoder to parcellate tractograms by learning latent streamline embeddings for unsupervised clustering and sub-bundle analysis.

This study investigates how hemodynamic and metabolic brain connectivity relate to cognitive function using simultaneous FDG-fPET/fMRI and partial least squares analyses, revealing distinct cognitive associations for each modality.

The paper introduces an open dataset comparing three FDG-fPET radiotracer administration protocols using simultaneous BOLD-fMRI scanning.

This paper improves the temporal resolution of functional PET by integrating anatomical MRI knowledge to reduce noise and partial volume errors in brain metabolism mapping.

This study uses simultaneous high-temporal resolution FDG-fPET and fMRI to compare metabolic and haemodynamic connectivity in the human brain, finding that metabolic connectivity is non-ergodic and differs from static FDG-PET covariance.

This study investigates the relationship between motherhood and functional brain connectivity in older adults, finding that motherhood is associated with brain connectivity patterns opposite to age-related decline.

This study shows that individual differences in haemoglobin levels affect BOLD fMRI functional connectivity and its relationship with cognition, with sex-specific patterns observed.

This study uses QSM to assess iron dysregulation in the motor cortex of limb-onset ALS patients over six months, finding increased QSM in lumbar-onset patients compared to controls and no significant change over time.

This study compares independent component analysis (ICA) and general linear modelling (GLM) for analyzing task and resting state fPET data, showing both methods can identify task-related brain activation.

This study examines the relationship between neurochemical levels (GABA and Glx) in the occipital cortex and binocular rivalry percept duration in migraineurs and controls, finding no significant correlation.

This paper introduces Arcana, a framework for creating adaptable neuroimaging workflows that can be reused across different computing environments and data sources.

The paper compares continuous infusion and bolus plus infusion radiotracer protocols for PET to improve temporal resolution, achieving 16-second glucose response mapping in the human brain.

This study finds that the number of children parented correlates with cortical thickness and verbal memory in older adults, with distinct patterns in mothers and fathers.

This study tracks iron concentration and atrophy in dentate nuclei of Friedreich ataxia patients over two years, finding increased iron accumulation and stage-dependent changes.

This study combines simultaneous BOLD-fMRI and FDG-PET to measure task-evoked neuronal metabolism in the human visual cortex with high temporal resolution.