Brian Albert Erickson

This study shows that brief TMS trains triggered at specific FM-theta phases can directionally modulate post-train FM-theta power, suggesting a causal role of oscillations in cognition.

This paper shows that baseline TMS-MEP input-output curve parameters can predict individual responses to cTBS, with MEPmax and S50 being significant predictors.

The paper uses support vector regression to predict individual cognitive control behaviors from functional connectivity between brain networks during tasks and rest.

This study uses simulated attacks on brain networks to assess how stroke lesions affect network properties and aphasia severity, finding that global network measures explain some variance in aphasia symptoms beyond lesion volume.

The paper uses GluCEST MRI to detect glutamate concentration changes in the motor cortex after cTBS, finding decreased ipsilateral signal but no consistent contralateral or sham effects.

This study examines how post-stroke bypasses in brain networks predict variance in language functions, finding that bypass length and overlap predict lexical production and auditory comprehension.