Robin F. H. Cash

The paper develops an individualized TMS targeting approach for ASD based on functional connectivity to the posterior cingulate cortex, showing symptom reduction in a case series.

The paper evaluates neural oscillatory mechanisms for communication in the human brain using MEG data, finding that power and phase coherence in specific frequency bands correlate with communication patterns.

This paper identifies nine functionally distinct subregions within the left prefrontal cortex targeted by TMS, revealing their network connectivity patterns and behavioral associations to guide individualized TMS interventions.

This paper introduces EWC, a method to infer discrete neural communication from continuous time series data, showing it is faster and effective at capturing directional signaling.

This study uses TMS-EEG to show that mindfulness meditators have altered excitation/inhibition balance in the dorsolateral prefrontal cortex compared to controls.

The paper maps individual deviations from normative brain structure in schizophrenia patients and finds high heterogeneity, with most patients showing infra-normal deviations in at least one region.

This study investigates the effects of different iTBS intensities on cortical properties and working memory in healthy participants, finding an inverse U-shape relationship between intensity and neurophysiological effects.