Duke researchers recently published results in Scientific Reports from an effort to identify aspects of brain function associated with autism. By finding new ways to evaluate and select machine learning models to analyze the data, they were able to identify robust and reproducible associations of brain activity.
Their analysis revealed that children diagnosed with autism showed more activity in parts of the brain associated with processing visual information. This study represents a necessary step forward in the scientific pursuit of identifying robust and reproducible features that characterize the differences of brain function in autistic individuals.
Read the paper here: https://www.nature.com/articles/s41598-024-76659-5
Carson, W.E., Major, S., Akkineni, H. et al. Model selection to achieve reproducible associations between resting state EEG features and autism. Sci Rep 14, 25301 (2024). https://doi.org/10.1038/s41598-024-76659-5