Colin M. McCrimmon

The paper introduces a self-exciting population model to analyze calcium-imaging data from human brain assembloids, revealing increased history-dependent amplification in MAPT mutants.

The paper develops a time-resolved network analysis pipeline to detect differences in neuronal network dynamics between disease and control assembloids, finding increased degree variance and clustering in mutant networks.

This study uses human brain assembloids to model how a genetic epilepsy syndrome affects cortical and hippocampal networks differently, revealing distinct dysfunction patterns.

This study develops an automated method to detect high-frequency oscillations (HFOs) in long-term scalp EEG from infantile spasms patients and healthy controls, showing higher HFO rates in patients and a significant reduction after ACTH treatment.