Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation

• Published in: Frontiers in systems neuroscience Vol. 15; p. 713131
• Main Authors: Matar, Mona, Gokoglu, Suleyman A, Prelich, Matthew T, Gallo, Christopher A, Iqbal, Asad K., Britten, Richard A, Prabhu, R. A., Myers, Jerry G
• Format: Journal Article
• Language: English
• Published: Glenn Research Center Frontiers 13.09.2021; Frontiers Media S.A
• Subjects: behavioral decrement; Behavioral Sciences; cognitive impairment; impairment prediction; Neuroscience; radiation research; rodent studies; space radiation; Set-Shift; Behavioral Decrement; Impairment Prediction; Space Radiation; Artificial Neural Network; Cognitive Performance; Machine Learning; Rodent Model

This research uses machine-learned computational analyses to predict the cognitive performance impairment of rats induced by irradiation. The experimental data in the analyses is from a rodent model exposed to ≤ 15 cGy of individual Galactic Cosmic Radiation (GCR) ions: 4He, 16O, 28Si, 48Ti, or 56Fe...