Early Electrophysiological Aberrations in the Hippocampus of the TgF344-AD Rat Model as a Potential Biomarker for Alzheimer's Disease Prognosis
Faraz Moradi, Monica van den Berg, Seyed Morteza Mirjebreili, Lauren Kosten, Marleen Verhoye, Mahmood Amiri, Georgios A. Keliris
This study uses electrophysiological data from a rat model to classify AD transgenic rats from wild-type using machine learning, finding that both low and high frequency signals contribute to accurate classification.
bioRxiv · Jul 1, 2022 · PreprintNeuroscience