Selen Atasoy

This study uses functional connectome harmonics to analyze neonatal brain gradients and finds that power and energy metrics differ between term and preterm neonates, predicting postmenstrual age.

The paper applies Functional Connectome Harmonics and Leading Eigenvector Dynamics Analysis to resting-state fMRI data from children to characterize preadolescent brain network organization.

This study uses connectome harmonic decomposition to show that ketamine-induced unresponsiveness increases localised harmonics, similar to psychedelic states, unlike traditional sedation which increases global harmonics.

This study shows that DMT alters connectome harmonics, increasing their repertoire entropy and correlating with subjective experience intensity over time.

This study examines how mindfulness meditation affects brain dynamics by analyzing changes in harmonic complexity, revealing both immediate and long-term effects on brain state and trait characteristics.

HADES framework analyzes spacetime activity patterns in the brain, showing reduced low-frequency harmonic modes during DMT-induced states, indicating changes in functional hierarchy.

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

The paper identifies functional harmonic modes as a governing principle for brain organization, showing they can reconstruct task-related activity and delineate cortical areas from resting-state fMRI data.

This study identifies a low-dimensional intrinsic manifold underlying human brain dynamics across wakefulness and sleep, achieving 96% accuracy in decoding brain states.

This paper uses a whole-brain computational model to simulate perturbations under LSD and finds increased dynamical complexity and recovery time, with strongest effects in resting state networks.

This paper introduces graph neural fields, a framework for modeling brain activity on the human connectome, and demonstrates its ability to reproduce BOLD fMRI harmonic power spectra.

This study compares the dynamical complexity of brain activity during meditation and resting-state in meditators and controls, finding reduced complexity in meditators during meditation.

This study examines how psilocybin alters brain dynamics by analyzing functional connectivity states in fMRI data, finding enhanced global synchronization and reduced fronto-parietal control.

This study uses connectome-harmonic decomposition to analyze how LSD alters brain dynamics, finding frequency-selective changes in energy and power, and a non-random expansion of active brain states.

This paper introduces harmonic brain modes as a framework linking spatial and temporal brain dynamics across different mental states.