Guy B. Williams

This study shows that cognitive co-activation dominates fMRI synchrony in the awake brain but is replaced by anatomical and molecular constraints during consciousness perturbations.

This study investigates thalamic nuclei involvement in consciousness loss during anaesthesia and disorders of consciousness using functional neuroimaging, identifying distinct connectivity patterns in specific nuclei.

This paper proposes a synergistic global workspace model of consciousness using network science and information theory, showing that loss of consciousness correlates with reduced information integration in specific brain networks.

The paper updates the Cell Painting assay protocol to improve morphological profiling, finding that simplified steps and reduced stain concentrations maintain robust outputs.

Cell Painting images and profiles for 115,796 compounds in U2OS cells from 12 laboratories; 15.2% of analyzed compounds are phenotypically active, and cross-laboratory replicates cut reference-compound activity by 34%.

This study quantifies neural emergence in brain injury patients using functional MRI and shows reduced emergent dynamics correlate with structural connectome disruptions.

The paper identifies harmonic patterns of structure-function dependence in the human connectome that correlate with different states of consciousness.

This study predicts fluorescent Cell Painting images from brightfield images using deep learning, achieving high correlation and demonstrating potential for downstream analysis and repurposing imaging channels.

This study investigates how small world topology dynamics scale with decreasing levels of awareness, finding that subcortical areas show higher predictive power for awareness levels.

This study uses resting-state fMRI and a deep learning model to predict task-related activation in DOC patients, finding that frontoparietal control network connectivity is key for volitional capacity classification.

This study identifies common neural mechanisms underlying anaesthesia and disorders of consciousness by simulating brain dynamics with a whole-brain model incorporating GABA receptor density and structural connectomes.

This study creates a probabilistic atlas of the human locus coeruleus using ultra-high field MRI, revealing spatial gradients and providing a resource for future research.

This study evaluates the reproducibility of 7T quantitative susceptibility mapping (QSM) and R2* at multiple sites using a harmonized protocol, finding improved consistency compared to 3T.

This study investigates how experience shapes perceptual decisions by examining plasticity in cortical layers using high-resolution fMRI and orientation discrimination training.

The paper measures fractal dimension in brain activity to predict consciousness severity in disorders of consciousness, finding lower fractal dimensions correlate with reduced consciousness.

This study examines the relationship between microglial activation and white matter changes in dementia with Lewy bodies using PET and DTI imaging.

The paper investigates age-related changes in cortical myeloarchitecture during adolescence using longitudinal MRI data and identifies two distinct developmental processes.

This paper compares fMRI analysis packages for autocorrelation modeling, finding AFNI outperforms FSL and SPM, and recommends improved pre-whitening and diagnostics for better reliability.