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Abstract #1356

Condition Specific Frequency Patterns in rs-fMRI measurement of a Neurodevelopmental Rat Model of Schizophrenia

Ekkehard Kstermann 1 , Vani Thimmashetty 1 , Jannis Gundelach 2 , and Lena Wischhof 2

1 "In-vivo-MR" AG, FB2, Universitt Bremen, Bremen, Bremen, Germany, 2 Department of Neuropharmacology, Brain Research Institute, University of Bremen, Bremen, Bremen, Germany

Maternal exposure to infection during mid-gestation increases the risk for the offspring to develop schizophrenia. Resting-state fMRI was performed with adult rats from the offspring and analysed by ICA. The average power spectrum over all estimated ICs collected from the entire brain was calculated and revealed highly condition specific characteristics. The observed differences of these signals may reflect altered network connectivities in the offspring. Our study supports the notion that rsfMRI provides an attractive tool for defining biomarkers of neuropsychiatric disorders in preclinical animal models as it is non-invasive, undemanding and limited in scanning time.

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