S. Parker Singleton

The paper introduces a longitudinal data resource combining multimodal imaging and cognitive phenotyping to study brain development and EF variation in adolescents.

The paper presents a curated dataset of processed diffusion MRI data from the ABCD Study, showing that specific diffusion metrics are sensitive to adolescent white matter development and robust to image quality variation.

This paper adapts network control theory to model spatially diffuse input signals in the human brain, showing reduced energy for state transitions and matching existing neurobiological maps.

This study finds that cocaine use disorder is linked to reduced brain state transition energy in specific networks, particularly those involved in excitatory and higher-order functions.

This study uses network control theory to show DMT reduces brain control energy, correlates with EEG entropy and subjective experience, and links these effects to serotonin 2a receptor distribution.

This study compares the neural effects of 2C-B and psilocybin using fMRI, finding distinct patterns in functional connectivity and brain complexity.

This study examines sex-specific brain activity dynamics in youth with and without a family history of substance use disorder, finding differences in transition energy across brain networks.

This study examines brain dynamics and structural connectivity in individuals with heavy alcohol use using multimodal imaging and finds reduced brain complexity and increased control energy.

The paper investigates how brain network structure, neuromodulation, and disease influence transitions between cognitive activation patterns using multimodal neuroimaging data.

This paper shows that LSD and psilocybin reduce brain control energy and increase entropy by flattening the brain's energy landscape, using network control theory and PET data.