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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