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Abstract #0649

Quantitative MRI biomarkers of pathology in a Poly I:C rat lactational model of schizophrenia and depression

Coral Helft1, Tamar Katzir2, Noam Omer2, Emilya Natali Shamir3, Yeal Piontkewitz3, Ina Weiner3, Shimon Shahar 4, and Noam Ben-Eliezer1,2,5
1Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 2Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 3School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel, 4Center of AI and Data Science (TAD), Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

Synopsis

Keywords: Psychiatric Disorders, Quantitative Imaging, Psychiatric disorders, Neuroscience, Multi-ContrastMany psychiatric conditions lack radiologic markers of disease. In this study, we investigated the utility of quantitative MRI (qMRI) for detecting pathology in the lactational immune activation rat model of schizophrenia and depression. Results show that a logistic regression model can identify the disease with an accuracy of 81% based on a combination of T1 and T2, mean diffusivity, and fractional anisotropy values. This finding suggests that multiparametric qMRI is useful for monitoring pathology with an objective quantitative tool that goes beyond structural deformations and improves the sensitivity to microstructural and neurochemical pathology in the lactational immune activation rat model.

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