John Duncan

The paper examines how the multiple-demand and default mode networks represent multi-step tasks, finding dissociable temporal dynamics and representational content for task identity and step-level information.

The paper examines DMN subsystem activity during various cognitive tasks, finding partial functional separation and integration across subsystems.

The paper analyzes prefrontal cortex activity in a primate task to track neural dynamics during decision-making and attentional control, revealing interhemispheric communication and decision coding patterns.

The paper identifies a domain-general cognitive core in the human cortex using multimodal MRI data from the Human Connectome Project, revealing its anatomical distribution and functional connectivity.

The paper distinguishes between serial and parallel processing in visual attention using neural models and electrophysiological data from rhesus monkeys.

This study uses MEG/EEG to track and compare multiple component processes of selective attention over time, identifying five distinct processing operations with different time-courses.

This study investigates how dopamine levels in Parkinson’s disease patients affect sensory attenuation during voluntary movements, finding a negative correlation with motor severity and a positive correlation with dopamine dose.

This study examines the associations between cardiovascular risk factors and white matter structure in aging, finding that systolic blood pressure, diastolic blood pressure, and heart rate independently impact white matter health.

The paper shows that physical activity preserves frontal white matter integrity and reduces age-related slowing in a population-based sample.

This study examines how functional connectivity changes in macaque monkeys after cortical lesions and how these changes correlate with behavioral recovery.

The paper investigates the role of the default mode network (DMN) in cognitive transitions, finding that it shows both decreases and increases during task switches and rests, suggesting it encodes context beyond internal self-referential processes.

This study examines how the multiple-demand network responds to varying task difficulty in simple sensory discriminations, finding little effect of sensory manipulations but increased activity with rule complexity.