In this project we investigate phenomena relevant to the neural noise hypothesis of autism. We utilize in-vivo neuroimaging data to characterize signal complexity of the neural time-series and relate these signal complexity metrics back to biological mechanisms relevant to neural noise (e.g., excitation:inhibition balance).

Relevant Publications

Trakoshis, S., Martinez-Canada, P., et al., & Lombardo, M. V. (2020). Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLife, 9, e55684.

Lai, M. C., Lombardo, M. V., et al., (2010). A shift to randomness of brain oscillations in people with autism. Biological Psychiatry, 68, 1092-1099.