This preprint applies a graph-computational framework to longitudinal HD-MEA recordings from three human cortical organoids. After recovering the true acquisition rate and stimulus timing, evoked activity appeared as a fast, near-synchronous network burst with no measurable outward propagation, making propagation- and integration-depth metrics inapplicable. The authors instead analyzed synchrony, response-population size, and shared variability, identifying progressive depression and spatial contraction after repeated daily stimulation. A developmentally matched stimulation-naive control addressed a major confound: on day 7, first-ever stimulation engaged 93% of the array, compared with 10% after five prior sessions.
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