Sarah Hollingsworth Lisanby

The paper develops an interpretable model to analyze sub-trial dynamics in affective task switching, revealing geometric metrics that capture individual differences in task behavior.

This study identifies the optimal frequency for seizure induction in ECT and MST to minimize stimulus intensity and potential adverse effects.

This paper shows that structural controllability predicts working memory benefits from brain stimulation and correlates with functional modulation of memory demand.

The paper examines how aging affects brain network integration during working memory tasks, finding that older adults show increased network integration with higher task difficulty and WM capacity.

This study tests if online rTMS improves working memory in older adults, finding it instead decreases accuracy in high-demand tasks.

This study uses TMS to test the role of the lateral occipital cortex in perceptual decision-making, finding that stimulation at 400ms slows reaction times while early stimulation improves performance.

This study evaluates the accuracy and stability of a robotic TMS coil positioning system, finding low initial error but increasing error over time.

The paper investigates how the brain maintains and manipulates information during working memory tasks, finding dissociable neural networks for these processes and increased segregation under higher demand.

This study uses RSA and ERS analyses to show that 5Hz rTMS enhances memory representations in the PFC and MTL compared to 1Hz.

This study investigates whether 5Hz rTMS over the left DLPFC improves working memory manipulation accuracy, finding no significant overall effect but a negative correlation between fMRI activity and behavioral improvement in the hardest condition.

The paper investigates how local network deficits in aging are compensated by global network over-recruitment using rTMS and finds that 1-Hz rTMS increases global connectivity while reducing local activity.