David Krishna Menon

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 paper identifies neural correlates of individual and shared experiences using fMRI data from naturalistic storytelling under varying anaesthesia levels.

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 study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

The paper examines functional connectivity gradients in the posterior precuneus during altered states of consciousness, finding continuous connectivity patterns that flatten in these states.

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.

FlowAtlas.jl connects FlowJo with Julia-based computational tools for cytometry data analysis, demonstrating its capabilities on a human immune cell dataset.

This study examines how brain-age differences (PAD) change over time after traumatic brain injury (TBI) using a large multi-cohort dataset.

The paper evaluates 576 functional connectomics pipelines to identify those that minimize spurious discrepancies and motion confounds while being sensitive to inter-subject and experimental effects.

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 maps how pharmacological drugs alter brain function by linking neurotransmitter receptor distribution with drug-induced changes in functional MRI connectivity.

The paper introduces an information decomposition framework to identify synergistic and redundant neural interactions, showing synergistic activity underlies human complex cognition and evolutionary brain expansion.

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 proteome-wide Mendelian randomization to identify blood proteins causally linked to severe COVID-19, finding several proteins associated with increased or decreased risk.

This study identifies a functional division in the precuneus that connects internally and externally oriented networks, modulated by task difficulty.

This study evaluates how different data-processing pipelines affect the reproducibility of brain network topologies across repeated scans, identifying reliable pipeline combinations.

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 paper shows that LSD and psilocybin increase the fractal dimension of brain activity in both spatial and temporal domains, suggesting a shift toward criticality in neural systems.

The paper investigates how sedation with propofol affects predictive coding circuits and the double surprise acceleration effect using EEG source localization in a local-global task.

The paper identifies a genetic variant in KCNG4 associated with increased labor pain by altering KV6.4 function in uterine nociceptors.

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

The paper investigates algorithmic and process complexity measures in functional MRI data from propofol sedation, showing they correlate with sedation levels and support a complexity-based hypothesis of consciousness.